Skrifennow

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Listing the Souness glaciers in the 179 HRSC tiles

Dec 4, 2016


Table of the 179 HRSC tiles, with links to the Souness glacier-like forms

Using the product coverage shapefile of the HRSC DTM tiles, I wrote a Python program to find out which Souness glacier-like forms (the extent polygons) intersect with each HRSC DTM tile.

The table has been reordered to have the same order as the animations. The tiles were originally chosen manually  by browsing Mars Orbital Data Explorer during my dissertation work. I aimed to find the tile that covered each Souness object at the best resolution.

I have also output the data the other way around indexing the HRSC DTM tiles for each Souness object, but there is little more work to be done comparing it to my manually assigned tiles, so I will leave that for the next post.

In the table below I list the Souness glacier-like forms intersecting with the 179 tiles I used in my dissertation. There are some other HRSC tiles that do so, but these may only duplicate the same objects at equal or lower resolution.

Of the 179 tiles downloaded, only one of them does not in fact cover any Souness objects. This is due to two Souness objects being close to but just outside the tile boundary.

To find more about an individual tile, click on the link in the first column to the tile's page on Arizona State University's Mars Image Explorer or using HRSCview.

The 'hist' link which will go to the elevation and slope histograms and plots for that tile that were part of the animation on Youtube (the version with 4 subplots in one figure).

The links at the right will go to the Souness Top Trumps page for that object.
TileDimensionsDTM resolutionCentre locationAreaMean elev (m)Min elevMax elevSouness objects in tile
h1258_0001 histogram5101 × 1072 px75m177.6°W, 32.5°N22915km2-3837.0-4161-2610119 120 121 122
h1232_0000 histogram3912 × 1097 px75m140.3°W, 37.4°N17785km2-1977.9-3581-5105
h1210_0000 histogram2491 × 931 px75m138.1°W, 39.0°N12230km2-1629.8-3168179101 102 103 104
h0037_0000 histogram36203 × 4729 px50m131.9°W, 29.4°N217870km21762.4-27222123486 87 88 89 91 92 93 96
h5380_0000 histogram2689 × 1598 px75m131.0°W, 44.5°N15263km2-1551.1-2293-105590
h1316_0000 histogram5401 × 1233 px100m119.7°W, 31.7°N40045km21893.0663282183
h5405_0000 histogram9603 × 2538 px50m111.9°W, 46.6°N38658km21488.0-1405534881
h5081_0000 histogram11371 × 2145 px75m92.4°W, 36.0°N104607km2777.6-703299671 74 75 76 77 78
h5376_0000 histogram12049 × 1437 px75m89.7°W, 38.1°N64857km2674.9-924245870 73
h5340_0000 histogram12402 × 1321 px75m87.4°W, 38.1°N64076km2588.7-1064231760 61 62 69
h5322_0000 histogram11803 × 1319 px75m86.2°W, 37.1°N59678km2899.2-668314253 54 55 56 57 59 60 61 62 63 64 65 66 67 68
h5304_0000 histogram5767 × 2267 px50m85.4°W, 41.9°N21127km21403.9-232315950 51 54 55 56 57 58 64 65 66
h1312_0000 histogram7271 × 1337 px75m84.7°W, 35.8°N36762km2926.3-1001270048 49 52 53 64
h5286_0000 histogram12437 × 2499 px50m84.3°W, 44.7°N51054km2352.5-2124319239 40 41 42 43 44 45 46 47 50 51
h1550_0000 histogram16403 × 3782 px75m83.5°W, 41.0°N208952km2419.0-2573322231 32 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 64 65 66
h3316_0001 histogram2772 × 1447 px75m83.0°W, 46.5°N15598km2614.1-1105279231 32 38 39 40 41 42
h1528_0000 histogram16803 × 3537 px75m80.5°W, 40.3°N196042km2480.7-2965279122 23 24 25 26 27 28 29 30 33 34
h3283_0000 histogram5353 × 1318 px75m78.7°W, 45.3°N29879km2815.1-2660267821
h2913_0000 histogram4962 × 1513 px175m78.0°W, 35.1°N178236km2675.9-771207818
h3272_0000 histogram1912 × 1284 px75m77.5°W, 47.0°N11410km255.9-3028188917
h5401_0000 histogram1385 × 1211 px100m72.6°W, 48.1°N11121km2-1689.0-3416-3729 11 12 14
h5383_0000 histogram3176 × 1592 px75m71.0°W, 49.0°N19640km2-2274.4-36122378 9 10
h1429_0000 histogram20803 × 3289 px75m67.5°W, 39.2°N171804km2-966.9-376513267
h1498_0000 histogram7603 × 2119 px100m11.6°W, 34.3°N110710km2-3640.2-5207-21655 6
h3253_0000 histogram7142 × 1678 px50m9.6°W, 40.5°N24933km2-4278.1-4996-31773 4 5
h5314_0000 histogram6601 × 879 px100m5.5°W, 37.9°N45091km2-3626.2-5167-21131 2
h5339_0000 histogram11202 × 1377 px75m12.6°E, 40.0°N60184km2-2815.6-4172-913723 724 725 726 727
h5321_0000 histogram4153 × 974 px100m13.9°E, 38.8°N28588km2-2641.5-3894-1534721 722 723
h5303_0000 histogram8752 × 1349 px75m14.7°E, 36.9°N44190km2-2389.0-4249-1084715 716 717 718
h5285_0000 histogram9503 × 1447 px75m15.8°E, 36.6°N48208km2-2342.2-4333-907712 714 715 717 718 719 720
h5267_0000 histogram9301 × 1314 px75m17.0°E, 36.4°N47984km2-2356.2-4417-887699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714
h5249_0000 histogram9682 × 1367 px75m18.3°E, 35.9°N50841km2-2323.2-3695-1311692 693 694 695 696 697 698 707 708 709 710
h5213_0000 histogram9533 × 1474 px75m20.6°E, 34.8°N52161km2-2087.6-3904-204681 682 689 690 691
h3249_0000 histogram8001 × 1690 px75m21.4°E, 44.4°N47924km2-3560.4-5099-1204673 674 675 681
h5195_0000 histogram5743 × 1104 px75m22.4°E, 32.3°N30026km2-1848.9-4014-208678 679 680
h1483_0000 histogram11102 × 3084 px100m23.5°E, 42.8°N143811km2-3036.0-4265-671653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 677
h1201_0000 histogram5202 × 1373 px75m24.6°E, 43.5°N28478km2-3224.1-3909-1732657 658 660 661 662 663 664 665 666 671
h1461_0000 histogram16986 × 4749 px75m25.4°E, 43.9°N154244km2-2924.2-6588-492635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652
h1450_0000 histogram18203 × 4148 px75m27.8°E, 41.8°N163141km2-2807.8-7127-169613 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 639 640
h1428_0000 histogram13002 × 3085 px75m30.3°E, 42.3°N102455km2-2734.8-7153165601 602 605 606 607 608 609 610 611 612 613 614 615 617 618 619 620
h5328_0000 histogram4952 × 1353 px100m32.7°E, 43.5°N37536km2-2845.0-3773616573 575 591 597 598 599
h1644_0000 histogram1952 × 1607 px175m33.7°E, 40.4°N86440km2-1930.3-3762541556 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 584 585 586 587 588 591 597 598 599 600 601 602 605 606 608 609
h1395_0000 histogram5203 × 1512 px100m34.7°E, 43.5°N44511km2-2828.2-4259-698557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 574 576 577 578 579 580 581 582 583 584 585 586 587 588
h1600_0001 histogram7501 × 2721 px125m38.6°E, 39.7°N199966km2-1366.3-3900972525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556
h1351_0001 histogram8402 × 1977 px75m41.0°E, 47.4°N48721km2-2762.2-4659978524 525
h1578_0000 histogram8602 × 3013 px100m43.0°E, 44.1°N160965km2-2107.2-44831032498 499 500 501 502 505 507 509 510 511 512 513 514 515 516 517 518 521 522 523 524 525
h2996_0000 histogram2801 × 806 px150m44.9°E, 28.9°N45651km2-996.3-2511315
h1545_0000 histogram9373 × 3847 px75m46.5°E, 44.1°N113871km2-2069.4-4212664452 455 458 463 464 465 466 467 468 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 503 504 505 506 508
h1523_0000 histogram10543 × 3418 px75m49.8°E, 43.1°N116809km2-1814.8-3636914398 399 408 409 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 469 470 471
h3289_0000 histogram4141 × 1061 px100m51.1°E, 45.9°N31014km2-2653.7-3596-646398 399 415 416 417 418 433
h5335_0000 histogram6852 × 1311 px100m52.1°E, 46.0°N54418km2-2721.0-360559379 380 382 386 387 388 389 390 391 392 393 394 395 396 397 405 406 407 410 411 412 413 414 415
h5317_0000 histogram5703 × 1415 px100m52.6°E, 44.2°N44583km2-2354.1-3417-229365 371 372 373 374 375 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395
h2908_0000 histogram5594 × 2184 px150m53.4°E, 41.4°N214663km2-1762.7-3474631342 343 349 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 429
h1241_0000 histogram4672 × 1362 px75m54.2°E, 44.6°N24804km2-2578.1-3295-183367 368 369 376 383 384
h5299_0000 histogram7368 × 1569 px75m55.2°E, 38.8°N38310km2-1278.4-3093354346 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 364
h5281_0000 histogram5252 × 1315 px75m56.6°E, 38.3°N27428km2-2083.0-320298324 334 337 338 339 340 341 344 345 346 347 348 349
h2864_0000 histogram2206 × 1891 px175m58.0°E, 35.2°N92242km2-1283.3-3285346309 310 321 322 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 344 346 347 348 350 351 352 353
h1468_0001 histogram19462 × 3367 px75m58.6°E, 47.6°N169273km2-3114.9-5556-38323 324 325 326
h1446_0000 histogram11318 × 2014 px100m60.8°E, 38.4°N133749km2-1916.4-3797767300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
h5173_0000 histogram14685 × 1201 px75m63.0°E, 27.1°N72584km2-309.5-26282263292 293 294 295 296
h1629_0000 histogram5302 × 2471 px150m63.3°E, 38.9°N215818km2-2235.9-449012278 279 280 284 285 286 287 288 289 290 291 294 295 296 297 298 299 302 303 304 305 306 307 308 313 314 315 316 317 318 319 320
h1391_0000 histogram12890 × 1476 px100m68.3°E, 37.3°N120274km2-1699.3-50801573263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 281 282
h5378_0000 histogram6071 × 977 px100m70.2°E, 29.0°N44808km2137.2-23061514240 244 245 246 247 248 249 250 251 252 253 261
h1607_0009 histogram5002 × 2045 px175m71.4°E, 38.0°N226517km2-2320.6-4132889215 216 217 218 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272
h5360_0000 histogram7976 × 1248 px75m71.4°E, 28.8°N40686km2-1.4-28271739238 239 240 241 242 243 244 245
h5342_0000 histogram12303 × 1124 px75m72.7°E, 25.0°N61556km2-85.3-31761730206 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 235 236 237
h5324_0000 histogram3577 × 1087 px75m73.6°E, 30.2°N16795km2-1439.1-34621724206 207 208 209 210 211 212 213 214 215 216 217 218 235 236
h5306_0000 histogram10740 × 1140 px75m74.8°E, 24.6°N49345km2-439.1-34541863204 205
h5288_0000 histogram7205 × 989 px75m76.5°E, 26.4°N32079km2-820.7-29721499201
h0988_0000 histogram14122 × 1433 px75m77.2°E, 22.5°N83411km2-1307.1-35231505201
h1526_0000 histogram5503 × 2821 px75m115.0°E, 40.1°N63553km2-4952.7-6556-4301198 199 200
h2878_0000 histogram1682 × 1190 px250m121.8°E, 37.3°N104112km2-4714.1-6381-3959194 195 196 197
h1317_0000 histogram4001 × 886 px100m144.6°E, 31.7°N28788km2-1767.1-46811680192
h1423_0001 histogram15994 × 2143 px75m163.3°E, 39.5°N127585km2-3021.1-4072283146 147 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167
h1412_0001 histogram11403 × 1941 px100m165.0°E, 41.4°N113313km2-3078.8-4178487135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 159
h1628_0000 histogram5002 × 3727 px100m165.4°E, 40.9°N138771km2-3025.3-4670455135 136 137 138 139 140 141 145 149 150 151 152 154 155 158 166 167
h4293_0000 histogram2501 × 1002 px75m163.4°W, 43.0°S11825km21362.85873417893 894
h2681_0000 histogram2652 × 1704 px175m148.1°W, 44.8°S118773km22258.4964555883 884 886 887 889 890
h6486_0000 histogram8681 × 1737 px75m143.0°W, 43.7°S50290km22302.54763888882
h2538_0000 histogram5029 × 1263 px150m134.4°W, 34.7°S113579km21867.0363268879 880
h2527_0000 histogram5006 × 1956 px75m133.8°W, 43.0°S47661km22001.1-943377877 878
h2494_0000 histogram15301 × 2927 px75m131.8°W, 49.7°S121366km22181.43034451876
h0479_0000 histogram3458 × 1348 px100m128.1°W, 42.7°S40474km22102.05154837872 873
h4234_0000 histogram3601 × 1185 px75m125.5°W, 40.2°S17789km22382.711564744866
h1937_0000 histogram9003 × 1817 px100m125.1°W, 30.9°S125929km22777.411154173867 868
h0424_0000 histogram10549 × 2394 px50m121.4°W, 44.3°S45403km22071.65883526862 863 864
h2197_0001 histogram2011 × 1302 px100m114.0°W, 52.0°S19989km21505.8-3543428860 861
h2644_0000 histogram3752 × 2019 px150m111.4°W, 45.0°S123347km22524.64524360859
h2501_0000 histogram3501 × 1770 px75m99.7°W, 47.8°S28233km22931.55493878855 856 857 1269
h0508_0000 histogram12599 × 2646 px75m98.8°W, 34.0°S138944km25258.324299155849 850 851 852 853
h0497_0000 histogram10101 × 1885 px100m97.0°W, 37.0°S135551km24503.018287379849 850 851 852 853
h0266_0000 histogram6715 × 1463 px50m94.7°W, 43.3°S18355km23653.420028427845 846 847 848
h0453_0000 histogram10385 × 1838 px75m92.0°W, 41.2°S79320km24257.26508978837 838 839 840 841 842 843 844
h4087_0000 histogram10465 × 1175 px100m80.2°W, 31.1°S91348km23431.618935446827
h2640_0000 histogram7401 × 2142 px150m78.2°W, 42.1°S242593km23239.4-11497085824 825 826 827 828
h2607_0000 histogram9723 × 3249 px100m75.3°W, 49.5°S174840km22141.2-933969824 825 826
h2596_0001 histogram7469 × 2162 px125m74.3°W, 34.8°S188443km23766.418317105821 822 823
h2541_0000 histogram13269 × 3723 px100m70.0°W, 55.8°S174235km21531.7-5623788815 816
h2530_0001 histogram9003 × 1937 px125m68.6°W, 33.4°S188667km23159.13565917810 811 812 813 814
h2508_0000 histogram15095 × 3569 px100m67.7°W, 54.1°S171382km21469.5-8683545809
h2475_0000 histogram5903 × 1822 px75m65.2°W, 46.1°S43430km21863.8-42336721266 1267
h2387_0000 histogram10002 × 1899 px75m61.0°W, 48.0°S54648km21497.9-6563244801 802 803 804 805 806 807 808
h0427_0000 histogram8101 × 2100 px75m57.1°W, 44.0°S53877km21200.5-12303735787 788 789
h0416_0000 histogram8537 × 1457 px100m55.2°W, 46.6°S73480km2236.5-25133608780 781 782
h0394_0000 histogram7360 × 1523 px75m52.0°W, 42.4°S42870km2561.4-18473741771 772 774 775 776 777 778
h2669_0000 histogram2373 × 1508 px200m48.7°W, 38.2°S122633km2758.1-17143946762 763 764 765 766
h2625_0000 histogram2802 × 1977 px150m44.2°W, 39.0°S104012km2-396.2-30793160757 758 759 760 761
h4376_0000 histogram4453 × 1027 px100m40.7°W, 36.0°S29258km297.7-17822112754
h4365_0001 histogram5002 × 1218 px75m39.6°W, 35.4°S23863km2121.8-27651877755 756
h0533_0000 histogram13073 × 2294 px150m38.2°W, 22.0°S456221km2-409.1-54302640747 748
h0544_0000 histogram2790 × 1207 px150m37.9°W, 40.6°S66060km2-985.3-42882220745 746 749 750 751 752 753
h0383_0000 histogram1601 × 1068 px75m37.9°W, 43.1°S8767km2-1715.5-43051025749
h2515_0000 histogram16219 × 6793 px75m36.8°W, 62.6°S149827km2783.7-27186143744
h2526_0001 histogram6887 × 1443 px125m35.4°W, 39.0°S116216km2-717.2-32242888743
h2493_0000 histogram9635 × 2247 px75m33.6°W, 49.3°S75915km2-950.4-26826113742 743 744
h2460_0001 histogram7274 × 1464 px100m31.8°W, 47.6°S66541km2-952.4-32852447738 739 740 741 742
h0478_0000 histogram18069 × 2865 px125m30.2°W, 23.6°S410550km2-1037.0-46612167735 738
h2438_0000 histogram10043 × 1416 px100m30.2°W, 45.4°S85303km2-494.9-33813358736 738 739 740
h0376_0000 histogram13048 × 2782 px50m29.1°W, 48.7°S46781km2-346.6-33923730736 737
h6395_0000 histogram3753 × 762 px100m16.7°W, 30.9°S23456km2464.7-12301464731
h2665_0001 histogram4323 × 2316 px125m15.4°W, 42.1°S131624km2946.2-15872330730
h1932_0000 histogram4227 × 1298 px225m6.4°E, 40.5°S206200km21318.3-160727201243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1309
h2247_0000 histogram8833 × 2025 px75m12.3°E, 53.5°S58270km21553.7-13527801236 1237
h0397_0000 histogram22832 × 2260 px75m13.0°E, 37.1°S146656km21612.3-14329811238 1239
h2694_0001 histogram2861 × 1379 px250m13.7°E, 38.8°S199978km21633.5-46430071233 1234 1235 1238 1239 1240 1241 1242 1308
h2181_0001 histogram4804 × 1207 px100m17.4°E, 48.3°S43588km21551.670228411227 1228 1229 1230
h2159_0001 histogram4012 × 1367 px75m19.6°E, 45.6°S26129km21506.139430481226
h2639_0000 histogram5502 × 1922 px150m19.9°E, 39.9°S182385km21856.0-34237571223 1224 1225
h6409_0000 histogram9796 × 949 px100m20.4°E, 29.5°S65961km21730.5-81130141224 1225
h2595_0001 histogram7500 × 1778 px150m24.5°E, 41.9°S202177km22128.610338011218 1219 1220 1221 1222
h0558_0000 histogram6320 × 2251 px125m25.5°E, 32.1°S174245km21948.4-16135621214 1215 1216 1217 1218
h2540_0000 histogram4782 × 1518 px150m28.9°E, 32.8°S128114km21751.6-6631671211 1212 1213 1214 1215 1216 1217
h2529_0000 histogram10450 × 2096 px100m29.8°E, 48.0°S131221km21640.6-2633631209 1210
h2441_0000 histogram13702 × 2759 px75m33.8°E, 50.5°S87345km2890.6-128422101191 1192 1194 1195 1196 1197 1198 1199 1200 1201 1202
h2430_0001 histogram6606 × 1747 px75m35.6°E, 52.1°S40109km2739.1-73515821191 1192 1193
h2386_0000 histogram13002 × 2303 px75m36.8°E, 50.3°S71588km2564.7-100515301171
h2287_0001 histogram11802 × 3213 px75m41.7°E, 55.2°S77249km2267.2-111320021152 1166
h6552_0000 histogram2002 × 1306 px125m42.4°E, 45.7°S24423km2294.7-189018551154 1155 1156 1160
h2210_0000 histogram1502 × 1067 px100m47.2°E, 48.3°S12625km2-2184.6-454210641140
h2613_0000 histogram1552 × 1243 px200m55.2°E, 32.0°S71030km2-4570.5-75236541129 1130
h5263_0001 histogram1901 × 1982 px125m57.6°E, 28.8°S39685km2-2299.6-61548071127 1128 1129
h0466_0000 histogram6081 × 1339 px150m69.7°E, 20.8°S145309km2-327.9-446936381125
h2195_0000 histogram3952 × 993 px100m82.8°E, 45.1°S31518km2-6126.6-7179-53861119 1120
h2631_0001 histogram4801 × 1724 px175m86.0°E, 36.2°S196628km2-3991.4-644642901114 1115 1116 1117 1118 1300 1301 1302
h2609_0000 histogram4484 × 1891 px125m88.5°E, 39.6°S110090km2-4757.3-6323-27381110 1111 1112 1113 1114 1115 1116
h0365_0000 histogram10801 × 1685 px75m90.7°E, 45.5°S56958km2-4177.5-5841-4591111 1112 1113
h0550_0000 histogram4445 × 1789 px125m92.3°E, 32.5°S111078km2-2117.2-539012211104 1105 1106 1107 1108 1109 1110 1298 1299
h0528_0000 histogram11402 × 2553 px100m93.1°E, 29.6°S208685km2-599.9-523036961100 1101 1102 1103 1104 1105 1106
h2510_0001 histogram4885 × 1230 px125m96.6°E, 40.5°S75220km2-2179.3-543630171071 1072 1073 1074 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1292 1293 1294 1295 1296 1297
h6437_0000 histogram1282 × 885 px100m97.2°E, 37.5°S8733km2-1262.9-332530351072 1081 1082 1083 1084 1089 1090 1091 1092 1093 1094 1095 1096 1097 1295
h0506_0000 histogram11762 × 1920 px125m98.3°E, 33.1°S221775km2-367.1-317554581066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1090 1292 1293 1294
h2466_0000 histogram3562 × 1519 px100m98.9°E, 41.5°S35078km2-1243.3-278326171059 1060 1061 1062 1065 1066 1067 1068 1069 1070 1075 1076 1077 1078 1080
h6419_0000 histogram3202 × 1267 px75m99.5°E, 38.4°S15688km2-921.4-280526441065 1066 1067 1068 1069 1070 1076 1077 1078 1079 1080
h0022_0000 histogram12781 × 1173 px100m100.9°E, 29.4°S98445km2314.1-235643991056 1057 1058 1063 1064 1065 1069
h2400_0001 histogram2613 × 1613 px50m102.2°E, 40.5°S9657km2-699.9-248140631032 1033 1034 1051 1054
h0248_0000 histogram6562 × 1216 px50m102.6°E, 37.2°S18548km2110.1-81633581038 1047 1048 1049 1050 1051 1052 1053
h0451_0000 histogram6222 × 2598 px100m103.2°E, 38.8°S70761km2-87.0-255746921020 1021 1022 1023 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1290 1291
h2356_0002 histogram2802 × 974 px75m103.6°E, 40.5°S13506km2-34.6-168547011023 1026 1031 1033 1034 1035 1036 1037 1038 1039 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1290 1291
h2345_0000 histogram2401 × 1116 px75m104.5°E, 45.1°S11286km2-130.5-125646191014 1015 1289
h2312_0000 histogram6001 × 1723 px75m106.7°E, 43.4°S27029km2286.2-39923421006 1007 1008
h2279_0001 histogram8393 × 1550 px50m108.5°E, 41.5°S24411km2670.6-3444319986 999 1000 1001 1002 1003 1007 1008 1277 1278 1279 1280 1281 1282 1287 1288
h1887_0000 histogram2502 × 1418 px250m108.5°E, 41.6°S171008km2675.1-9204429976 977 978 979 980 981 984 985 986 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1006 1007 1008 1013 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1287 1288
h2224_0000 histogram6432 × 1196 px75m112.9°E, 41.3°S27821km2632.7-14843716944 945 946 947 948 949 950 951 952 956 957 971 975 1271 1272 1273
h2660_0001 histogram3838 × 1899 px175m115.6°E, 38.0°S166908km2746.1-13813326934 935 936 937 938 939 940 941 942 943 949 950 951 952 953 954 955 956 957 1271 1272
h2638_0000 histogram5134 × 2061 px150m118.0°E, 37.1°S184526km2764.2-7922849933 934 935 936 937 938 939 940
h0368_0000 histogram12191 × 1663 px75m118.3°E, 41.9°S67909km2783.8-7282808934 935
h6408_0000 histogram13202 × 1385 px75m121.4°E, 35.1°S63518km2891.4-2132386932
h2550_0000 histogram5801 × 2127 px100m126.0°E, 43.3°S85395km21425.5-6113538922 923 924 925 926 927 928 929 930 931
h6544_0000 histogram2801 × 1598 px100m127.9°E, 40.7°S27010km21561.65142575922 923
h0469_0000 histogram7227 × 2011 px75m135.0°E, 40.5°S63422km21630.0-5812786917
h4180_0000 histogram4501 × 971 px100m141.2°E, 38.8°S34336km21633.81233262915
h2220_0000 histogram5682 × 2373 px75m144.4°E, 48.1°S34383km21560.7-1153208913 914
h2689_0001 histogram4201 × 2187 px150m145.4°E, 39.2°S173432km21473.9-11993141911 912
h2612_0000 histogram8101 × 3567 px100m152.9°E, 50.5°S146882km21264.3-6343076908 909 910
h0280_0001 histogram8361 × 1039 px75m153.6°E, 39.9°S34376km2754.2-521842910
h4330_0000 histogram6901 × 1022 px75m160.5°E, 36.9°S30127km21012.0-9692364906
h2403_0001 histogram8652 × 1648 px75m167.8°E, 50.0°S50246km22010.54953159901 902 903
h2359_0000 histogram2832 × 1177 px75m169.2°E, 45.8°S13662km21732.517332111270
h6465_0000 histogram9817 × 1324 px75m169.5°E, 33.4°S57385km21096.9-5353090900

Histogram of elevation within the 179 HRSC DTM tiles used in Martian glaciers work

Dec 3, 2016

In my dissertation I used 179 High Resolution Stereo Camera digital terrain model tiles from the Mars Express spacecraft.

I have gone back to the code that generated the histograms below:

Elevation histogram consisting of the Souness glacier extent areas, glacier head areas, and the HRSC tiles as a whole, and multi-component Gaussian fits

Slope histogram consisting of the Souness glacier extent areas, glacier head areas, and the HRSC tiles as a whole, and multi-component Gaussian fits
The question I thought of recently, is how does the slope vary by elevation?

I will investigate this in two ways

  1.  average slope
  2.  percentage of terrain exceeding a threshold in slope.
This either in a whole tile or by elevation bin.


Summaries of whole tiles

Slope vs elevation, plotting the means of whole tiles. Error bars show the standard deviations of elevation and slope within each tile.

Percentage of the area in each tile exceeding slope thresholds of 5° and 10°.

Binning by elevation

Since there is often a wide variety of elevation within a tile, and the sometimes large north-south extent of each tile, they can encompass a wide variety of terrains, I developed the program to bin the data in each tile into elevation bins, and calculate the mean slope for each bin. I currently use a bin width of 200m in elevation.

There are 179 tiles, and several different ways of plotting them, which produces a large number of plots, so I thought I'd animate them.

The frames are ordered northern hemisphere first, then the southern, and within each hemisphere by longitude from -180 to 180 degrees.

The animated versions are linked to rather than shown since they are fairly large files.

I have taken the tile h1450 as an example in showing the plots.

The tile h1450 was discussed in an earlier post and on my neocities website. The hemispheric maps there can also help in putting the tiles in their context. It contains Lyot crater, the lowest elevation anywhere in the northern hemisphere of Mars , as well as part of the elevation dichotomy boundary and a number of Souness glaciers including this one, which has a 3D HiRISE anaglyph.

Animated elevation histograms and average slope by elevation bin

 

Link to animated version (6MB gif). The same data is plotted twice, firstly with an automatically scaled elevation axis, and secondly with fixed limits of -8000m, 10000m.

Link to animated version (8MB gif)  Mean slope in each elevation bin in each tile, and the % of terrain with slope >= 5° and 10° in each elevation bin. The density of shading depends on the area in each elevation bin, compared with the bin having the largest amount of area.


Link to animated version (5MB gif) Mean slope in each elevation bin, with fixed-limit axes both elevation, and slope.



Link to animated version (15MB gif). Placing the two subplots on the same frame - variable axes.

Link to animated version (8MB gif). Placing the two subplots on the same frame - fixed axes.


4 subplots version (on Youtube)

This version progresses slower through the tiles since there are 4 subplots to look at for each tile

Integrating all tiles - elevation histogram

Elevation histogram of all tiles, with area exceeding the slope thresholds overplotted as lines.

Integrating all tiles - average slope as a function of elevation

Mean slope as a function of elevation, and percent of terrain with slope >= threshold as a function of elevation.
The same as the last plot with the two subplots on the same frame.

Possibly some of the most obsfucated Python code I have ever written

Dec 3, 2016

I have recently been reviewing the Python code from my MSc dissertation which read in the Mars Express High Resolution Stereo Camera digital terrain model tiles, and produced histograms and statistics.

The code was not very well written, as much was edited hastily towards the end of the data analysis phase of my dissertation. However I have managed to do something even more silly since then.

The command gdalinfo allows some summary statistics of a GDAL compatible file to be output to the command line:

gdalinfo h0037_0000_da4.img
Driver: PDS/NASA Planetary Data System
Files: h0037_0000_da4.img
Size is 4391, 36200
Coordinate System is:
PROJCS["SINUSOIDAL MARS",
    GEOGCS["GCS_MARS",
        DATUM["D_MARS",
            SPHEROID["MARS",3396000,0]],
        PRIMEM["Reference_Meridian",0],
        UNIT["degree",0.0174532925199433]],
    PROJECTION["Sinusoidal"],
    PARAMETER["longitude_of_center",227],
    PARAMETER["false_easting",0],
    PARAMETER["false_northing",0]]
Origin = (-55150.000000000000000,2645890.000000000000000)
Pixel Size = (50.000000000000000,-50.000000000000000)
Metadata:
  BANDWIDTH=-1e+32
  CENTER_FILTER_WAVELENGTH=-1e+32
  DATA_SET_ID="MEX-M-HRSC-5-REFDR-DTM-V1.0"
  FILTER_NAME=
  INSTRUMENT_ID=HRSC
  INSTRUMENT_NAME="HIGH RESOLUTION STEREO CAMERA"
  MISSION_NAME="MARS EXPRESS"
  NOTE=
  PRODUCER_INSTITUTION_NAME=
  PRODUCT_CREATION_TIME=2008-06-11T06:53:45.000Z
  PRODUCT_ID="H0037_0000_DA4.IMG"
  PRODUCT_TYPE=
  SPACECRAFT_NAME=
  TARGET_NAME=MARS
Corner Coordinates:
Upper Left  (  -55150.000, 2645890.000) (134d18'27.69"W, 44d38'24.94"N)
Lower Left  (  -55150.000,  835890.000) (133d57'33.77"W, 14d 6' 9.93"N)
Upper Right (  164400.000, 2645890.000) (129d 6' 6.55"W, 44d38'24.94"N)
Lower Right (  164400.000,  835890.000) (130d 8'24.44"W, 14d 6' 9.93"N)
Center      (   54625.000, 1740890.000) (131d56'32.83"W, 29d22'17.44"N)
Band 1 Block=4391x1 Type=Int16, ColorInterp=Undefined
  Min=-2721.000 Max=21234.000
  Minimum=-2721.000, Maximum=21234.000, Mean=2131.470, StdDev=6496.150
  NoData Value=-32768
  Metadata:
    STATISTICS_MAXIMUM=21234
    STATISTICS_MEAN=2131.47
    STATISTICS_MINIMUM=-2721
    STATISTICS_STDDEV=6496.15




The original purpose of using this in my Python was to find out which hemisphere we were in, for the processing of the aspect data, which was to separate the northern and southern hemisphere tiles.

So therefore I wrote this:

findHemisph_cmd = "gdalinfo *da4*img | grep 'Center' > CentreLoc.txt"
os.system(findHemisph_cmd)

HemiSph = CentreLoc.split('"')[-1][0] # N or S hopefully

Recently, I though it useful to actually get the locations of the centres of each tile, so that output histograms for individual tiles can be labelled.

So I took the "Centre" line from the output of gdalinfo, and converted the degrees and minutes to decimal degrees accurate to one decimal place:

centrelocation = CentreLoc.split("(")[-1].strip()
centrelocation = centrelocation[:-1]
centrelocation = DMSstr2dec(centrelocation)




An example of the histograms, showing total area within elevation bins of width 200m, and amount of that area that has slope exceeding 5° and 10°.

The next thing I wanted to do, was to make the tiles appear in a specific order, namely northern hemisphere first, going from -180° to 180° longitude, then the same for the southern hemisphere:

The filename of the histogram above is prefixed by frame0048000606h0037_0000 which since it is at 132°W, this is converted to  48°, which produces the first part of the string as "00480". The latitude is 29.4°N, which is 60.6° counting from the north pole down which converts to "00606".

I recently discovered that gdalinfo has a -json switch so that it produces output in JSON format, which produces this:

{
  "description":"h0037_0000_da4.img",
  "driverShortName":"PDS",
  "driverLongName":"NASA Planetary Data System",
  "files":[
    "h0037_0000_da4.img"
  ],
  "size":[
    4391,
    36200
  ],
  "coordinateSystem":{
    "wkt":"PROJCS[\"SINUSOIDAL MARS\",\n    GEOGCS[\"GCS_MARS\",\n        DATUM[\"D_MARS\",\n            SPHEROID[\"MARS\",3396000,0]],\n        PRIMEM[\"Reference_Meridian\",0],\n        UNIT[\"degree\",0.0174532925199433]],\n    PROJECTION[\"Sinusoidal\"],\n    PARAMETER[\"longitude_of_center\",227],\n    PARAMETER[\"false_easting\",0],\n    PARAMETER[\"false_northing\",0]]"
  },
  "geoTransform":[
    -55150.0,
    50.0,
    0.0,
    2645890.0,
    0.0,
    -50.0
  ],
  "metadata":{
    "":{
      "BANDWIDTH":"-1e+32",
      "CENTER_FILTER_WAVELENGTH":"-1e+32",
      "DATA_SET_ID":"\"MEX-M-HRSC-5-REFDR-DTM-V1.0\"",
      "FILTER_NAME":"",
      "INSTRUMENT_ID":"HRSC",
      "INSTRUMENT_NAME":"\"HIGH RESOLUTION STEREO CAMERA\"",
      "MISSION_NAME":"\"MARS EXPRESS\"",
      "NOTE":"",
      "PRODUCER_INSTITUTION_NAME":"",
      "PRODUCT_CREATION_TIME":"2008-06-11T06:53:45.000Z",
      "PRODUCT_ID":"\"H0037_0000_DA4.IMG\"",
      "PRODUCT_TYPE":"",
      "SPACECRAFT_NAME":"",
      "TARGET_NAME":"MARS"
    }
  },
  "cornerCoordinates":{
    "upperLeft":[
      -55150.0,
      2645890.0
    ],
    "lowerLeft":[
      -55150.0,
      835890.0
    ],
    "upperRight":[
      164400.0,
      2645890.0
    ],
    "lowerRight":[
      164400.0,
      835890.0
    ],
    "center":[
      54625.0,
      1740890.0
    ]
  },
  "wgs84Extent":{
    "type":"Polygon",
    "coordinates":[
      [
        [
          -134.3076928,
          44.6402621
        ],
        [
          -133.9593814,
          14.1027589
        ],
        [
          -129.1018186,
          44.6402621
        ],
        [
          -130.1401215,
          14.1027589
        ],
        [
          -134.3076928,
          44.6402621
        ]
      ]
    ]
  },
  "bands":[
    {
      "band":1,
      "block":[
        4391,
        1
      ],
      "type":"Int16",
      "colorInterpretation":"Undefined",
      "min":-2721.0,
      "max":21234.0,
      "minimum":-2721.0,
      "maximum":21234.0,
      "mean":2131.47,
      "stdDev":6496.15,
      "noDataValue":-32768.0,
      "metadata":{
        "":{
          "STATISTICS_MAXIMUM":"21234",
          "STATISTICS_MEAN":"2131.47",
          "STATISTICS_MINIMUM":"-2721",
          "STATISTICS_STDDEV":"6496.15"
        }
      }
    }
  ]
}


This would of course have been much easier to process, with the standard Python JSON library.

I will write another post on the histograms themselves later.

Elevation and slope statistics for the Mars Express HRSC DTM tiles used in Martian glacier work

Dec 1, 2016


In the last post I noted the distribution of glacier-like forms according to elevation relative to Mars datum, and slope, as measured by the Mars Express HRSC DTM data.

One issue is whether the distribution according to elevation is a primary function of elevation, or the fact that the distribution of slope varies according to elevation in the area of study.

The distribution of slope and elevation was considered previously:



What will be needed however is the histogram of slope as a function of elevation. Below is a table of 179 HRSC DTM tiles that contain coverage of Souness objects, detailing mean, minimum and maximum elevation and slope, etc. A more comprehensive statistical assessment would use all HRSC DTM tiles that exist in the latitude range 25° - 70° that Souness studied.

Here are a couple of plots, showing the mean slope as a function of mean elevation, with errorbars, and the area of the plotting symbol proportional to the area of each tile, and a plot showing the proportion of each tile having slope exceeding 5° and 10° respectively.



Table of HRSC tiles


For comparison, the area of the UK is 243600km2. Several individual tiles are larger than this, the largest being h0533. The average area of each tile is 87055km2. Total area, ignoring overlap is 15.6 million km2, and taking account of overlap, it is 13.4 million km2. To find more about an individual tile, click on the link in the first column to the tile's page on Arizona State University's Mars Image Explorer or using HRSCview.
FieldDimensionsDTM ResolutionCentre locationAreaMean elevMin elevMax elevAverage slopePercentage exceeding 10°
h0022_0000(12781, 1173) px100m100.9°E, 29.4°S98445km2314.1-235643995.4°16.9%
h0037_0000(36203, 4729) px50m131.9°W, 29.4°N217870km21762.4-2722212345.5°16.3%
h0248_0000(6562, 1216) px50m102.6°E, 37.2°S18548km2110.1-81633584.1°9.8%
h0266_0000(6715, 1463) px50m94.7°W, 43.3°S18355km23653.4200284273.5°6.0%
h0280_0000(8361, 1039) px75m153.6°E, 39.9°S34376km2754.2-5218422.8°3.8%
h0365_0000(10801, 1685) px75m90.7°E, 45.5°S56958km2-4177.5-5841-4593.3°4.3%
h0368_0000(12191, 1663) px75m118.3°E, 41.9°S67909km2783.8-72828083.1°5.5%
h0376_0000(13048, 2782) px50m29.1°W, 48.7°S46781km2-346.6-339237305.6°17.2%
h0383_0000(1601, 1068) px75m37.9°W, 43.1°S8767km2-1715.5-430510256.4°21.4%
h0394_0000(7360, 1523) px75m52.0°W, 42.4°S42870km2561.4-184737417.9°29.9%
h0397_0000(22832, 2260) px75m13.0°E, 37.1°S146656km21612.3-14329813.7°5.4%
h0416_0000(8537, 1457) px100m55.2°W, 46.6°S73480km2236.5-251336085.9°17.7%
h0424_0000(10549, 2394) px50m121.4°W, 44.3°S45403km22071.658835262.9°3.4%
h0427_0000(8101, 2100) px75m57.1°W, 44.0°S53877km21200.5-123037354.8°12.0%
h0451_0000(6222, 2598) px100m103.2°E, 38.8°S70761km2-87.0-255746924.5°11.3%
h0453_0000(10385, 1838) px75m92.0°W, 41.2°S79320km24257.265089784.0°6.9%
h0466_0000(6081, 1339) px150m69.7°E, 20.8°S145309km2-327.9-446936384.9°10.7%
h0469_0000(7227, 2011) px75m135.0°E, 40.5°S63422km21630.0-58127863.0°5.1%
h0478_0000(18069, 2865) px125m30.2°W, 23.6°S410550km2-1037.0-466121675.6°15.8%
h0479_0000(3458, 1348) px100m128.1°W, 42.7°S40474km22102.051548373.2°5.6%
h0497_0000(10101, 1885) px100m97.0°W, 37.0°S135551km24503.0182873793.4°4.5%
h0506_0000(11762, 1920) px125m98.3°E, 33.1°S221775km2-367.1-317554583.5°8.1%
h0508_0000(12599, 2646) px75m98.8°W, 34.0°S138944km25258.3242991554.1°7.3%
h0528_0000(11402, 2553) px100m93.1°E, 29.6°S208685km2-599.9-523036963.6°6.8%
h0533_0000(13073, 2294) px150m38.2°W, 22.0°S456221km2-409.1-543026405.6°15.0%
h0544_0000(2790, 1207) px150m37.9°W, 40.6°S66060km2-985.3-428822205.3°15.2%
h0550_0000(4445, 1789) px125m92.3°E, 32.5°S111078km2-2117.2-539012213.0°5.8%
h0558_0000(6320, 2251) px125m25.5°E, 32.1°S174245km21948.4-16135622.9°5.5%
h0988_0000(14122, 1433) px75m77.2°E, 22.5°N83411km2-1307.1-352315056.2°18.5%
h1201_0000(5202, 1373) px75m24.6°E, 43.5°N28478km2-3224.1-3909-17324.7°12.1%
h1210_0000(2491, 931) px75m138.1°W, 39.0°N12230km2-1629.8-31681794.9°11.2%
h1232_0000(3912, 1097) px75m140.3°W, 37.4°N17785km2-1977.9-3581-54.6°10.2%
h1241_0000(4672, 1362) px75m54.2°E, 44.6°N24804km2-2578.1-3295-1835.3°13.8%
h1258_0000(5101, 1072) px75m177.6°W, 32.5°N22915km2-3837.0-4161-26103.5°9.3%
h1312_0000(7271, 1337) px75m84.7°W, 35.8°N36762km2926.3-100127004.6°9.7%
h1316_0000(5401, 1233) px100m119.7°W, 31.7°N40045km21893.066328212.1°0.9%
h1317_0000(4001, 886) px100m144.6°E, 31.7°N28788km2-1767.1-468116802.8°3.1%
h1351_0000(8402, 1977) px75m41.0°E, 47.4°N48721km2-2762.2-46599783.8°7.6%
h1391_0000(12890, 1476) px100m68.3°E, 37.3°N120274km2-1699.3-508015734.9°12.9%
h1395_0000(5203, 1512) px100m34.7°E, 43.5°N44511km2-2828.2-4259-6984.4°10.1%
h1412_0000(11403, 1941) px100m165.0°E, 41.4°N113313km2-3078.8-41784874.0°9.3%
h1423_0000(15994, 2143) px75m163.3°E, 39.5°N127585km2-3021.1-40722833.5°6.7%
h1428_0000(13002, 3085) px75m30.3°E, 42.3°N102455km2-2734.8-71531654.7°11.0%
h1429_0000(20803, 3289) px75m67.5°W, 39.2°N171804km2-966.9-376513264.8°11.5%
h1446_0000(11318, 2014) px100m60.8°E, 38.4°N133749km2-1916.4-37977675.7°16.9%
h1450_0000(18203, 4148) px75m27.8°E, 41.8°N163141km2-2807.8-7127-1694.9°11.8%
h1461_0000(16986, 4749) px75m25.4°E, 43.9°N154244km2-2924.2-6588-4923.6°6.3%
h1468_0000(19462, 3367) px75m58.6°E, 47.6°N169273km2-3114.9-5556-383.0°5.7%
h1483_0000(11102, 3084) px100m23.5°E, 42.8°N143811km2-3036.0-4265-6713.5°6.6%
h1498_0000(7603, 2119) px100m11.6°W, 34.3°N110710km2-3640.2-5207-21654.3°8.1%
h1523_0000(10543, 3418) px75m49.8°E, 43.1°N116809km2-1814.8-36369144.3°10.5%
h1526_0000(5503, 2821) px75m115.0°E, 40.1°N63553km2-4952.7-6556-43012.1°1.7%
h1528_0000(16803, 3537) px75m80.5°W, 40.3°N196042km2480.7-296527914.1°7.9%
h1545_0000(9373, 3847) px75m46.5°E, 44.1°N113871km2-2069.4-42126645.1°14.8%
h1550_0000(16403, 3782) px75m83.5°W, 41.0°N208952km2419.0-257332224.1°8.6%
h1578_0000(8602, 3013) px100m43.0°E, 44.1°N160965km2-2107.2-448310323.8°7.9%
h1600_0000(7501, 2721) px125m38.6°E, 39.7°N199966km2-1366.3-39009723.7°6.5%
h1607_0000(5002, 2045) px175m71.4°E, 38.0°N226517km2-2320.6-41328894.3°11.3%
h1628_0000(5002, 3727) px100m165.4°E, 40.9°N138771km2-3025.3-46704553.6°7.5%
h1629_0000(5302, 2471) px150m63.3°E, 38.9°N215818km2-2235.9-4490124.6°12.3%
h1644_0000(1952, 1607) px175m33.7°E, 40.4°N86440km2-1930.3-37625413.7°6.7%
h1887_0000(2502, 1418) px250m108.5°E, 41.6°S171008km2675.1-92044294.4°10.0%
h1932_0000(4227, 1298) px225m6.4°E, 40.5°S206200km21318.3-160727203.1°3.5%
h1937_0000(9003, 1817) px100m125.1°W, 30.9°S125929km22777.4111541732.6°2.8%
h2159_0000(4012, 1367) px75m19.6°E, 45.6°S26129km21506.139430483.3°3.6%
h2181_0000(4804, 1207) px100m17.4°E, 48.3°S43588km21551.670228412.5°2.9%
h2195_0000(3952, 993) px100m82.8°E, 45.1°S31518km2-6126.6-7179-53862.8°2.1%
h2197_0000(2011, 1302) px100m114.0°W, 52.0°S19989km21505.8-35434285.1°11.9%
h2210_0000(1502, 1067) px100m47.2°E, 48.3°S12625km2-2184.6-454210645.7°18.5%
h2220_0000(5682, 2373) px75m144.4°E, 48.1°S34383km21560.7-11532083.7°6.0%
h2224_0000(6432, 1196) px75m112.9°E, 41.3°S27821km2632.7-148437164.5°10.4%
h2247_0000(8833, 2025) px75m12.3°E, 53.5°S58270km21553.7-13527802.9°2.9%
h2279_0000(8393, 1550) px50m108.5°E, 41.5°S24411km2670.6-34443196.0°18.2%
h2287_0000(11802, 3213) px75m41.7°E, 55.2°S77249km2267.2-111320022.1°1.7%
h2312_0000(6001, 1723) px75m106.7°E, 43.4°S27029km2286.2-39923423.6°5.6%
h2345_0000(2401, 1116) px75m104.5°E, 45.1°S11286km2-130.5-125646193.5°6.3%
h2356_0000(2802, 974) px75m103.6°E, 40.5°S13506km2-34.6-168547015.3°16.6%
h2359_0000(2832, 1177) px75m169.2°E, 45.8°S13662km21732.517332114.6°10.9%
h2386_0000(13002, 2303) px75m36.8°E, 50.3°S71588km2564.7-100515302.7°3.5%
h2387_0000(10002, 1899) px75m61.0°W, 48.0°S54648km21497.9-65632444.9°11.6%
h2400_0000(2613, 1613) px50m102.2°E, 40.5°S9657km2-699.9-248140634.1°9.6%
h2403_0000(8652, 1648) px75m167.8°E, 50.0°S50246km22010.549531593.3°4.8%
h2430_0000(6606, 1747) px75m35.6°E, 52.1°S40109km2739.1-73515822.4°2.3%
h2438_0000(10043, 1416) px100m30.2°W, 45.4°S85303km2-494.9-338133585.0°13.2%
h2441_0000(13702, 2759) px75m33.8°E, 50.5°S87345km2890.6-128422104.0°7.3%
h2460_0000(7274, 1464) px100m31.8°W, 47.6°S66541km2-952.4-328524475.5°16.7%
h2466_0000(3562, 1519) px100m98.9°E, 41.5°S35078km2-1243.3-278326174.0°9.4%
h2475_0000(5903, 1822) px75m65.2°W, 46.1°S43430km21863.8-42336723.9°5.8%
h2493_0000(9635, 2247) px75m33.6°W, 49.3°S75915km2-950.4-268261135.9°18.6%
h2494_0000(15301, 2927) px75m131.8°W, 49.7°S121366km22181.430344513.7°5.4%
h2501_0000(3501, 1770) px75m99.7°W, 47.8°S28233km22931.554938783.1°4.5%
h2508_0000(15095, 3569) px100m67.7°W, 54.1°S171382km21469.5-86835453.2°3.0%
h2510_0000(4885, 1230) px125m96.6°E, 40.5°S75220km2-2179.3-543630174.4°9.6%
h2515_0000(16219, 6793) px75m36.8°W, 62.6°S149827km2783.7-271861433.4°7.5%
h2526_0000(6887, 1443) px125m35.4°W, 39.0°S116216km2-717.2-322428885.1°14.0%
h2527_0000(5006, 1956) px75m133.8°W, 43.0°S47661km22001.1-9433773.4°4.6%
h2529_0000(10450, 2096) px100m29.8°E, 48.0°S131221km21640.6-2633633.1°4.9%
h2530_0000(9003, 1937) px125m68.6°W, 33.4°S188667km23159.135659173.9°5.6%
h2538_0000(5029, 1263) px150m134.4°W, 34.7°S113579km21867.03632682.8°3.8%
h2540_0000(4782, 1518) px150m28.9°E, 32.8°S128114km21751.6-6631673.8°6.3%
h2541_0000(13269, 3723) px100m70.0°W, 55.8°S174235km21531.7-56237883.2°4.3%
h2550_0000(5801, 2127) px100m126.0°E, 43.3°S85395km21425.5-61135384.1°7.2%
h2595_0000(7500, 1778) px150m24.5°E, 41.9°S202177km22128.610338012.6°2.8%
h2596_0000(7469, 2162) px125m74.3°W, 34.8°S188443km23766.4183171053.4°4.0%
h2607_0000(9723, 3249) px100m75.3°W, 49.5°S174840km22141.2-9339693.1°2.9%
h2609_0000(4484, 1891) px125m88.5°E, 39.6°S110090km2-4757.3-6323-27383.0°3.8%
h2612_0000(8101, 3567) px100m152.9°E, 50.5°S146882km21264.3-63430763.2°3.6%
h2613_0000(1552, 1243) px200m55.2°E, 32.0°S71030km2-4570.5-75236545.1°10.3%
h2625_0000(2802, 1977) px150m44.2°W, 39.0°S104012km2-396.2-307931605.5°16.5%
h2631_0000(4801, 1724) px175m86.0°E, 36.2°S196628km2-3991.4-644642903.4°6.1%
h2638_0000(5134, 2061) px150m118.0°E, 37.1°S184526km2764.2-79228492.4°3.6%
h2639_0000(5502, 1922) px150m19.9°E, 39.9°S182385km21856.0-34237572.8°3.2%
h2640_0000(7401, 2142) px150m78.2°W, 42.1°S242593km23239.4-114970852.9°3.6%
h2644_0000(3752, 2019) px150m111.4°W, 45.0°S123347km22524.645243603.1°4.3%
h2660_0000(3838, 1899) px175m115.6°E, 38.0°S166908km2746.1-138133262.5°4.0%
h2665_0000(4323, 2316) px125m15.4°W, 42.1°S131624km2946.2-158723303.5°4.9%
h2669_0000(2373, 1508) px200m48.7°W, 38.2°S122633km2758.1-171439465.5°17.5%
h2681_0000(2652, 1704) px175m148.1°W, 44.8°S118773km22258.49645553.0°4.5%
h2689_0000(4201, 2187) px150m145.4°E, 39.2°S173432km21473.9-119931412.7°4.1%
h2694_0000(2861, 1379) px250m13.7°E, 38.8°S199978km21633.5-46430072.5°3.1%
h2864_0000(2206, 1891) px175m58.0°E, 35.2°N92242km2-1283.3-32853464.9°13.4%
h2878_0000(1682, 1190) px250m121.8°E, 37.3°N104112km2-4714.1-6381-39591.4°1.0%
h2908_0000(5594, 2184) px150m53.4°E, 41.4°N214663km2-1762.7-34746313.8°7.8%
h2913_0000(4962, 1513) px175m78.0°W, 35.1°N178236km2675.9-77120783.5°4.5%
h2996_0000(2801, 806) px150m44.9°E, 28.9°N45651km2-996.3-25113153.4°3.5%
h3249_0000(8001, 1690) px75m21.4°E, 44.4°N47924km2-3560.4-5099-12043.4°6.6%
h3253_0000(7142, 1678) px50m9.6°W, 40.5°N24933km2-4278.1-4996-31774.3°10.8%
h3272_0000(1912, 1284) px75m77.5°W, 47.0°N11410km255.9-302818894.1°7.5%
h3283_0000(5353, 1318) px75m78.7°W, 45.3°N29879km2815.1-266026783.4°4.7%
h3289_0000(4141, 1061) px100m51.1°E, 45.9°N31014km2-2653.7-3596-6465.1°12.4%
h3316_0000(2772, 1447) px75m83.0°W, 46.5°N15598km2614.1-110527926.7°19.3%
h4087_0000(10465, 1175) px100m80.2°W, 31.1°S91348km23431.6189354463.1°3.6%
h4180_0000(4501, 971) px100m141.2°E, 38.8°S34336km21633.812332624.0°7.7%
h4234_0000(3601, 1185) px75m125.5°W, 40.2°S17789km22382.7115647444.5°8.5%
h4293_0000(2501, 1002) px75m163.4°W, 43.0°S11825km21362.858734174.8°10.7%
h4330_0000(6901, 1022) px75m160.5°E, 36.9°S30127km21012.0-96923644.2°7.5%
h4365_0000(5002, 1218) px75m39.6°W, 35.4°S23863km2121.8-276518775.0°12.7%
h4376_0000(4453, 1027) px100m40.7°W, 36.0°S29258km297.7-178221125.5°15.7%
h5081_0000(11371, 2145) px75m92.4°W, 36.0°N104607km2777.6-70329961.9°2.8%
h5173_0000(14685, 1201) px75m63.0°E, 27.1°N72584km2-309.5-262822635.6°15.4%
h5195_0000(5743, 1104) px75m22.4°E, 32.3°N30026km2-1848.9-4014-2084.9°9.9%
h5213_0000(9533, 1474) px75m20.6°E, 34.8°N52161km2-2087.6-3904-2044.9°11.1%
h5249_0000(9682, 1367) px75m18.3°E, 35.9°N50841km2-2323.2-3695-13114.2°8.2%
h5263_0000(1901, 1982) px125m57.6°E, 28.8°S39685km2-2299.6-61548074.8°11.2%
h5267_0000(9301, 1314) px75m17.0°E, 36.4°N47984km2-2356.2-4417-8874.4°9.6%
h5281_0000(5252, 1315) px75m56.6°E, 38.3°N27428km2-2083.0-3202987.1°24.7%
h5285_0000(9503, 1447) px75m15.8°E, 36.6°N48208km2-2342.2-4333-9074.2°8.8%
h5286_0000(12437, 2499) px50m84.3°W, 44.7°N51054km2352.5-212431924.1°8.9%
h5288_0000(7205, 989) px75m76.5°E, 26.4°N32079km2-820.7-297214997.9°27.4%
h5299_0000(7368, 1569) px75m55.2°E, 38.8°N38310km2-1278.4-30933546.0°18.1%
h5303_0000(8752, 1349) px75m14.7°E, 36.9°N44190km2-2389.0-4249-10844.3°8.9%
h5304_0000(5767, 2267) px50m85.4°W, 41.9°N21127km21403.9-23231594.5°9.8%
h5306_0000(10740, 1140) px75m74.8°E, 24.6°N49345km2-439.1-345418637.0°22.9%
h5314_0000(6601, 879) px100m5.5°W, 37.9°N45091km2-3626.2-5167-21132.6°2.9%
h5317_0000(5703, 1415) px100m52.6°E, 44.2°N44583km2-2354.1-3417-2294.5°9.9%
h5321_0000(4153, 974) px100m13.9°E, 38.8°N28588km2-2641.5-3894-15343.4°5.8%
h5322_0000(11803, 1319) px75m86.2°W, 37.1°N59678km2899.2-66831424.8°11.9%
h5324_0000(3577, 1087) px75m73.6°E, 30.2°N16795km2-1439.1-3462172410.1°38.4%
h5328_0000(4952, 1353) px100m32.7°E, 43.5°N37536km2-2845.0-37736163.2°5.1%
h5335_0000(6852, 1311) px100m52.1°E, 46.0°N54418km2-2721.0-3605594.2°9.8%
h5339_0000(11202, 1377) px75m12.6°E, 40.0°N60184km2-2815.6-4172-9133.6°6.4%
h5340_0000(12402, 1321) px75m87.4°W, 38.1°N64076km2588.7-106423173.4°6.2%
h5342_0000(12303, 1124) px75m72.7°E, 25.0°N61556km2-85.3-317617305.8°16.5%
h5360_0000(7976, 1248) px75m71.4°E, 28.8°N40686km2-1.4-282717397.9°27.5%
h5376_0000(12049, 1437) px75m89.7°W, 38.1°N64857km2674.9-92424582.9°4.9%
h5378_0000(6071, 977) px100m70.2°E, 29.0°N44808km2137.2-230615146.5°20.9%
h5380_0000(2689, 1598) px75m131.0°W, 44.5°N15263km2-1551.1-2293-10551.8°0.9%
h5383_0000(3176, 1592) px75m71.0°W, 49.0°N19640km2-2274.4-36122374.4°10.8%
h5401_0000(1385, 1211) px100m72.6°W, 48.1°N11121km2-1689.0-3416-3724.9°12.2%
h5405_0000(9603, 2538) px50m111.9°W, 46.6°N38658km21488.0-140553482.3°1.7%
h6395_0000(3753, 762) px100m16.7°W, 30.9°S23456km2464.7-123014644.5°9.3%
h6408_0000(13202, 1385) px75m121.4°E, 35.1°S63518km2891.4-21323863.1°3.7%
h6409_0000(9796, 949) px100m20.4°E, 29.5°S65961km21730.5-81130143.6°6.0%
h6419_0000(3202, 1267) px75m99.5°E, 38.4°S15688km2-921.4-280526446.3°19.8%
h6437_0000(1282, 885) px100m97.2°E, 37.5°S8733km2-1262.9-332530357.3°25.3%
h6465_0000(9817, 1324) px75m169.5°E, 33.4°S57385km21096.9-53530904.5°8.6%
h6486_0000(8681, 1737) px75m143.0°W, 43.7°S50290km22302.547638883.2°5.2%
h6544_0000(2801, 1598) px100m127.9°E, 40.7°S27010km21561.651425753.4°4.8%
h6552_0000(2002, 1306) px125m42.4°E, 45.7°S24423km2294.7-189018554.0°8.2%

The Souness Martian glacier-like forms - looking at the lowest and highest elevation objects

Nov 30, 2016

Colin Souness, in his 2012 paper listed a total of 1309 'glacier-like forms' on the surface of Mars, in the mid-latitudes centred around 40° latitude, found from Mars Reconnaisance Orbiter context camera images.

In my dissertation (version for tablets) I studied descriptive statistics of them, including the distribution by elevation.

Since then, I have produced a web index to the objects, including a Top Trumps page for each object. I below show a table of links to the 30 Souness objects at the lowest and highest elevations. The Mars Express High Resolution Stereo Camera digital terrain model tile is shown where there is coverage, and it is also indicated where there are HiRISE images, or 3d anaglyphs that intersect with the outline of the object. These are linked to from the Top Trump page.

The elevation distribution looks as follows:
Elevation histograms for Souness object extents and head areas, compared with the overall elevation distribution in the coverage of the HRSC DTM tiles used

Slope histograms for Souness object extents and head areas, compared with the overall slope distribution in the coverage of the HRSC DTM tiles used
Showing the ratio of the GLF distribution as a function of elevation and slope / elevation and slope distribution in the HRSC tiles for extents.
The GLF distribution as a function of elevation  / elevation distribution in the HRSC tiles for the head areas.

The GLF distribution as a function of slope  / slope distribution in the HRSC tiles for the head areas.
I noted in the dissertation that that the numbers of glaciers appeared to be depleted below elevations of -3000m relative to Mars datum. There are two types of explanation for this, firstly that they were not formed, or secondly that they were more rapidly ablated. Fewer may have formed in the range -5000 to -3000 due to slope effects, with a large proportion of the these elevations being made up of the flat plains in the northern hemisphere, and the Martian glaciers are preferentially found on slopes. Alternatively in the higher-obliquity epoch, ablation may have been favoured at low elevations, due to higher temperatures, and possibly wind-stripping of debris cover allowing sublimation.


The outliers at the extreme ends of the elevation distribution may be of interest, since they may show something about what limited the distribution of Souness objects on Mars.

There is a secondary peak in the distribution at very low elevations. These could have formed at a later epoch at a lower obliquity in a cooler climate where glacier accumulation was only significant at the lowest elevations.
It is also an interesting question whether the objects at very high elevations formed at the same epoch as the main distribution, or whether these come from an older, more extreme obliquity epoch.




Lowest and highest 30 Souness glacier-like forms

Based on mean elevation of 5km circular radius buffer (from Souness et al. 2012 paper)

Lowest elevation 30 GLFs (buffer mean from Souness catalog):

Catalog numberElevation (m)RegionHRSC DTM tileCentre LatitudeCentre LongitudeArea (sq. km)N HiRISE footprints intersectingN anaglyphs intersecting
1130-6664West of HellasH2613_0000-32.5156.615.6300
1123-6603East of Hellasnone-35.6275.610.8000
1126-6540West of Hellasnone-30.8264.500.7100
1119-6534East of HellasH2195_0000-44.2983.562.8500
1122-6533East of Hellasnone-35.5675.580.7900
1120-6466East of HellasH2195_0000-44.3083.572.9200
1118-6001East of HellasH2631_0001-42.7185.991.3500
1301-5507East of HellasH2631_0001-39.8286.160.7500
1302-5456East of HellasH2631_0001-39.8286.140.8410
193-5431Utopia Planitia and Phlegra Montesnone38.59137.201.0310
1117-5334East of HellasH2631_0001-39.8286.160.7000
1114-5283East of HellasH2609_0000-38.2288.122.2400
1300-5227East of HellasH2631_0001-39.8286.1718.4700
198-5137Utopia Planitia and Phlegra MontesH1526_000038.93116.361.9931
200-5108Utopia Planitia and Phlegra MontesH1526_000039.08116.073.6210
1112-5097East of HellasH0365_0000-40.9790.172.0510
1113-5077East of HellasH0365_0000-40.9990.160.6110
194-5025Utopia Planitia and Phlegra MontesH2878_000040.12120.161.9610
199-5019Utopia Planitia and Phlegra MontesH1526_000039.05116.050.5910
195-5008Utopia Planitia and Phlegra MontesH2878_000040.11120.232.6410
1115-4981East of HellasH2609_0000-38.2188.064.7400
196-4958Utopia Planitia and Phlegra MontesH2878_000040.58120.398.7800
1111-4886East of HellasH0365_0000-40.6290.283.0700
197-4881Utopia Planitia and Phlegra MontesH2878_000040.52120.536.1100
1116-4860East of HellasH2609_0000-38.6287.948.0100
1131-4842West of Hellasnone-35.2051.268.6400
1103-4588East of HellasH0528_0000-38.5494.372.0021
1134-4193West of Hellasnone-35.6148.982.1400
1110-4187East of HellasH0550_0000-36.5190.170.8400
3-4161Deuteronilus MensaeH3253_000038.33-9.762.4100

Highest elevation 30 GLFs (buffer mean from Souness catalog):

Catalog numberElevation (m)RegionHRSC DTM tileCentre LatitudeCentre LongitudeArea (sq. km)N HiRISE footprints intersectingN anaglyphs intersecting
8447681TharsisH0453_0000-40.65-92.249.0110
8456928TharsisH0266_0000-40.91-94.500.9300
8466784TharsisH0266_0000-40.93-94.520.8800
8486708TharsisH0266_0000-40.95-94.581.4400
8476662TharsisH0266_0000-40.95-94.561.6000
825894Olympus Mons and surrounding areanone41.69-110.671.1600
8505407TharsisH0508_0000-40.90-97.601.0000
8495301TharsisH0508_0000-40.81-97.940.8100
8515101TharsisH0508_0000-40.92-97.491.0200
8524556TharsisH0508_0000-41.85-97.551.2210
8534445TharsisH0508_0000-41.86-97.491.1310
814139Olympus Mons and surrounding areaH5405_000044.92-111.193.2900
8274101TharsisH4087_0000-35.01-79.641.0100
793927Olympus Mons and surrounding areanone38.33-103.580.6710
8233799TharsisH2596_0001-35.48-75.244.9700
8183769Tharsisnone-36.62-70.774.2010
8543762Tharsisnone-42.32-98.610.8400
8663675TharsisH4234_0000-42.08-124.737.1000
8173626Tharsisnone-36.60-70.544.6010
10343533East of HellasH2356_0002-40.83103.0220.4921
7943475Argyrenone-50.59-58.6110.5600
12873444East of HellasH2279_0001-42.76108.159.7100
8253441TharsisH2607_0000-41.95-76.951.4700
8193433Tharsisnone-36.61-70.471.5710
7643404ArgyreH2669_0000-38.90-48.013.9010
8593210TharsisH2644_0000-49.59-113.368.6000
8243196TharsisH2640_0000-41.49-77.0213.8710
8623188TharsisH0424_0000-43.42-121.984.3100
10433155East of HellasH0451_0000-37.89103.3817.2921
9983134East of HellasH1887_0000-42.03109.5938.6200

Based on mean HRSC DTM elevation of immediate head area (100m radius)

Lowest elevation 30 GLFs (head):

Note that a terminus elevation of 0 is due to the terminus falling in a no data area.
Catalog numberHead elevation (m)Termimus elevation (m)RegionHRSC DTM tileHead LatitudeHead LongitudeArea (sq. km)N HiRISE footprints intersectingN anaglyphs intersecting
1130-6858-7173West of HellasH2613_0000-32.5056.655.6300
1119-6667-6943East of HellasH2195_0000-44.2783.582.8500
1120-6639-6918East of HellasH2195_0000-44.3083.602.9200
1118-5779-6047East of HellasH2631_0001-42.7085.991.3500
1117-5550-5647East of HellasH2631_0001-39.8386.170.7000
1301-5550-5663East of HellasH2631_0001-39.8386.160.7500
1302-5430-5659East of HellasH2631_0001-39.8486.130.8410
198-5251-5718Utopia Planitia and Phlegra MontesH1526_000038.90116.381.9931
1300-5180-5595East of HellasH2631_0001-39.2186.1818.4700
1113-50500East of HellasH0365_0000-40.9990.170.6110
200-4996-5782Utopia Planitia and Phlegra MontesH1526_000039.08116.043.6210
1115-4937-5051East of HellasH2609_0000-38.1988.074.7400
1112-49340East of HellasH0365_0000-40.9790.192.0510
199-4927-5397Utopia Planitia and Phlegra MontesH1526_000039.05116.040.5910
1114-4912-5228East of HellasH2609_0000-38.2288.102.2400
1116-4861-5262East of HellasH2609_0000-38.6587.988.0100
1111-4775-5282East of HellasH0365_0000-40.6190.253.0700
1103-4691-5009East of HellasH0528_0000-38.5594.342.0021
1-4222-4534Deuteronilus MensaeH5314_000037.89-5.9310.9531
2-4149-4530Deuteronilus MensaeH5314_000037.99-5.9618.9531
1110-4037-4049East of HellasH0550_0000-36.5090.180.8400
6-3805-4014Deuteronilus MensaeH1498_000030.59-11.342.7910
192-3772-4407Utopia Planitia and Phlegra MontesH1317_000034.24144.324.3920
3-3746-4196Deuteronilus MensaeH3253_000038.32-9.782.4100
120-3691-3845Olympus Mons and surrounding areaH1258_000134.22-177.334.7100
121-3684-4010Olympus Mons and surrounding areaH1258_000134.22-177.336.5800
4-3677-3914Deuteronilus MensaeH3253_000038.27-9.311.3500
5-3604-4058Deuteronilus MensaeH3253_000040.04-10.362.5000
299-3447-3681Nilosyrtis MensaeH1629_000042.4762.491.4000
1299-3393-4112East of HellasH0550_0000-35.3091.181.6571

Highest elevation 30 GLFs (head):

Catalog numberHead elevation (m)Termimus elevation (m)RegionHRSC DTM tileHead LatitudeHead LongitudeArea (sq. km)N HiRISE footprints intersectingN anaglyphs intersecting
84474847166TharsisH0453_0000-40.63-92.209.0110
84870786647TharsisH0266_0000-40.94-94.591.4400
84769806616TharsisH0266_0000-40.94-94.571.6000
84569716730TharsisH0266_0000-40.90-94.510.9300
84669596679TharsisH0266_0000-40.92-94.530.8800
84956245096TharsisH0508_0000-40.80-97.930.8100
85054394826TharsisH0508_0000-40.88-97.601.0000
85151904766TharsisH0508_0000-40.91-97.491.0200
85248224204TharsisH0508_0000-41.83-97.551.2210
85345664025TharsisH0508_0000-41.84-97.501.1310
82741833695TharsisH4087_0000-35.00-79.641.0100
8139143587Olympus Mons and surrounding areaH5405_000044.91-111.213.2900
86637973217TharsisH4234_0000-42.05-124.717.1000
82337293628TharsisH2596_0001-35.44-75.274.9700
128736341951East of HellasH2279_0001-42.82108.199.7100
76436272737ArgyreH2669_0000-38.89-48.063.9010
82535292918TharsisH2607_0000-41.93-76.971.4700
10433367752East of HellasH0451_0000-37.81103.3917.2921
86233172847TharsisH0424_0000-43.40-121.994.3100
85932491968TharsisH2644_0000-49.55-113.338.6000
10343225-175East of HellasH2356_0002-40.70103.0120.4921
86331002827TharsisH0424_0000-43.42-122.024.3600
82630422691TharsisH2607_0000-41.92-76.892.5700
129030131087East of HellasH2356_0002-41.71104.1221.9810
82229392606TharsisH2596_0001-37.19-72.320.9200
82429262282TharsisH2640_0000-41.48-77.1213.8710
86128922332TharsisH2197_0001-51.24-113.672.0400
104228251510East of HellasH0451_0000-37.83103.324.6321
10152800569East of HellasH2345_0000-44.83104.7515.2620
76327802162ArgyreH2669_0000-38.54-48.031.1200

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