- Dataset Availability
- 1950-01-01T00:00:00Z–2018-01-01T00:00:00Z
- Dataset Provider
- EnvirometriX Ltd
- Earth Engine Snippet
-
ee.Image("OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX_C/v01") - Tags
Description
Predicted USDA soil great group probabilities at 250m.
Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles. To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA.
- Processing steps are described in detail here
- Antarctica is not included.
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Bands
Resolution
250 meters
Bands
| Name | Description |
|---|---|
grtgroup |
USDA soil taxonomy great groups |
grtgroup Class Table
| Value | Color | Description |
|---|---|---|
| 0 | #ffffff | NODATA |
| 1 | #adff2d | Albaqualfs |
| 2 | #adff22 | Cryaqualfs |
| 4 | #a5ff2f | Durixeralfs |
| 6 | #87ff37 | Endoaqualfs |
| 7 | #baf019 | Epiaqualfs |
| 9 | #87ff19 | Fragiaqualfs |
| 10 | #96f03d | Fragiudalfs |
| 11 | #a3f52f | Fragixeralfs |
| 12 | #aff319 | Fraglossudalfs |
| 13 | #91ff37 | Glossaqualfs |
| 14 | #9cf319 | Glossocryalfs |
| 15 | #9bff37 | Glossudalfs |
| 16 | #91ff19 | Haplocryalfs |
| 17 | #71ff37 | Haploxeralfs |
| 18 | #86ff19 | Hapludalfs |
| 19 | #a9d42d | Haplustalfs |
| 25 | #aff519 | Natraqualfs |
| 26 | #9bff19 | Natrixeralfs |
| 27 | #9af024 | Natrudalfs |
| 28 | #a5fd2f | Natrustalfs |
| 29 | #88ff37 | Palecryalfs |
| 30 | #afed19 | Paleudalfs |
| 31 | #71ff19 | Paleustalfs |
| 32 | #aff026 | Palexeralfs |
| 38 | #8cf537 | Rhodustalfs |
| 39 | #b7ff19 | Vermaqualfs |
| 41 | #7177c0 | Eutroboralfs |
| 42 | #9a85ec | Ochraqualfs |
| 43 | #f5f5e1 | Glossoboralfs |
| 44 | #52cf5a | Cryoboralfs |
| 45 | #e42777 | Natriboralfs |
| 46 | #4ef76d | Paleboralfs |
| 50 | #ff00fb | Cryaquands |
| 58 | #eb05eb | Fulvicryands |
| 59 | #fa04fa | Fulvudands |
| 61 | #fc04f5 | Haplocryands |
| 63 | #f50df0 | Haploxerands |
| 64 | #f118f1 | Hapludands |
| 74 | #fa0cfa | Udivitrands |
| 75 | #fc05e1 | Ustivitrands |
| 76 | #f100d5 | Vitraquands |
| 77 | #eb09e6 | Vitricryands |
| 80 | #fa22fa | Vitrixerands |
| 82 | #ffdab9 | Aquicambids |
| 83 | #f5d2bb | Aquisalids |
| 85 | #e8c9b8 | Argidurids |
| 86 | #ffddc4 | Argigypsids |
| 87 | #e7cbc0 | Calciargids |
| 89 | #ffd2c3 | Calcigypsids |
| 90 | #f5d6bb | Gypsiargids |
| 92 | #d5d3b9 | Haplargids |
| 93 | #e8d4b8 | Haplocalcids |
| 94 | #e7cdc0 | Haplocambids |
| 96 | #f3eac8 | Haplodurids |
| 97 | #a0c4ba | Haplogypsids |
| 98 | #ffd2b9 | Haplosalids |
| 99 | #f5dabb | Natrargids |
| 100 | #f5d5b9 | Natridurids |
| 101 | #e8ebb8 | Natrigypsids |
| 102 | #ffddc2 | Paleargids |
| 103 | #e7ffc0 | Petroargids |
| 104 | #f3e6c8 | Petrocalcids |
| 105 | #ffdab9 | Petrocambids |
| 107 | #f5cdb9 | Petrogypsids |
| 110 | #a91d30 | Calciorthids |
| 111 | #796578 | Camborthids |
| 112 | #d8ff6e | Paleorthids |
| 113 | #177548 | Durorthids |
| 114 | #43efd6 | Durargids |
| 115 | #8496a9 | Gypsiorthids |
| 116 | #296819 | Nadurargids |
| 118 | #73ffd4 | Cryaquents |
| 119 | #6fffc8 | Cryofluvents |
| 120 | #75fbc9 | Cryopsamments |
| 121 | #86f5d1 | Cryorthents |
| 122 | #82ffd2 | Endoaquents |
| 123 | #88eec8 | Epiaquents |
| 124 | #80ffd4 | Fluvaquents |
| 126 | #6bffc9 | Frasiwassents |
| 131 | #88eec8 | Hydraquents |
| 133 | #7fffc8 | Psammaquents |
| 134 | #81ffd2 | Psammowassents |
| 135 | #86f0d4 | Quartzipsamments |
| 136 | #67ffc8 | Sulfaquents |
| 137 | #88eec8 | Sulfiwassents |
| 138 | #7ffbcb | Torrifluvents |
| 139 | #87ffd2 | Torriorthents |
| 140 | #8af5ce | Torripsamments |
| 141 | #6bfad2 | Udifluvents |
| 142 | #78f0d4 | Udipsamments |
| 143 | #88eec8 | Udorthents |
| 144 | #7ffbd4 | Ustifluvents |
| 145 | #73f5cd | Ustipsamments |
| 146 | #88c8d2 | Ustorthents |
| 147 | #91f0cd | Xerofluvents |
| 148 | #73cdd2 | Xeropsamments |
| 149 | #88eec8 | Xerorthents |
| 153 | #fb849b | Udarents |
| 154 | #dd4479 | Torriarents |
| 155 | #61388b | Xerarents |
| 179 | #a52a30 | Cryofibrists |
| 180 | #722328 | Cryofolists |
| 181 | #d81419 | Cryohemists |
| 182 | #a42828 | Cryosaprists |
| 183 | #82f5cd | Frasiwassists |
| 184 | #a54c2e | Haplofibrists |
| 185 | #c11919 | Haplohemists |
| 186 | #b91419 | Haplosaprists |
| 189 | #21b199 | Sphagnofibrists |
| 190 | #702028 | Sulfihemists |
| 191 | #b41919 | Sulfisaprists |
| 196 | #b22328 | Udifolists |
| 201 | #a2c7eb | Borosaprists |
| 202 | #36ba79 | Medisaprists |
| 203 | #806797 | Borohemists |
| 206 | #cb5b5f | Calcicryepts |
| 207 | #cd5c5c | Calciustepts |
| 208 | #d94335 | Calcixerepts |
| 209 | #d35740 | Cryaquepts |
| 210 | #e05a5d | Durixerepts |
| 212 | #cf5b5c | Durustepts |
| 213 | #ca5964 | Dystrocryepts |
| 215 | #ca5d5f | Dystroxerepts |
| 216 | #cd5e5a | Dystrudepts |
| 217 | #ca5969 | Dystrustepts |
| 218 | #d95a35 | Endoaquepts |
| 219 | #d36240 | Epiaquepts |
| 220 | #e05c43 | Eutrudepts |
| 221 | #d64755 | Fragiaquepts |
| 222 | #cf595c | Fragiudepts |
| 225 | #ff5f5f | Halaquepts |
| 226 | #cd6058 | Haplocryepts |
| 228 | #d95f35 | Haploxerepts |
| 229 | #d35140 | Haplustepts |
| 230 | #d65a55 | Humaquepts |
| 231 | #e05c59 | Humicryepts |
| 233 | #cf525e | Humixerepts |
| 234 | #c65978 | Humudepts |
| 235 | #f5615f | Humustepts |
| 245 | #826f9a | Ustochrepts |
| 246 | #cff41a | Eutrochrepts |
| 247 | #4a6f31 | Dystrochrepts |
| 248 | #a96989 | Eutrocryepts |
| 249 | #e16438 | Haplaquepts |
| 250 | #24f640 | Xerochrepts |
| 251 | #88c1f9 | Cryochrepts |
| 252 | #f5d25c | Fragiochrepts |
| 253 | #d74322 | Haplumbrepts |
| 254 | #7f939e | Cryumbrepts |
| 255 | #41a545 | Dystropepts |
| 256 | #8f8340 | Vitrandepts |
| 268 | #09fe03 | Argialbolls |
| 269 | #0aff00 | Argiaquolls |
| 270 | #0ff30f | Argicryolls |
| 271 | #02f00a | Argiudolls |
| 272 | #0fc903 | Argiustolls |
| 273 | #17f000 | Argixerolls |
| 274 | #0cff00 | Calciaquolls |
| 275 | #0ac814 | Calcicryolls |
| 276 | #0cfe00 | Calciudolls |
| 277 | #0aff0a | Calciustolls |
| 278 | #03ff05 | Calcixerolls |
| 279 | #1cf31c | Cryaquolls |
| 280 | #24f000 | Cryrendolls |
| 283 | #00ff0c | Durixerolls |
| 284 | #14c814 | Durustolls |
| 285 | #00fe4c | Endoaquolls |
| 286 | #14ff96 | Epiaquolls |
| 287 | #44d205 | Haplocryolls |
| 289 | #05f305 | Haploxerolls |
| 290 | #62f00a | Hapludolls |
| 291 | #0fcd03 | Haplustolls |
| 292 | #00d20f | Haprendolls |
| 294 | #1add11 | Natraquolls |
| 296 | #09ff0c | Natrixerolls |
| 297 | #03ff05 | Natrudolls |
| 298 | #05e700 | Natrustolls |
| 299 | #02f00a | Palecryolls |
| 300 | #0fea03 | Paleudolls |
| 301 | #00f000 | Paleustolls |
| 302 | #0ccb0c | Palexerolls |
| 303 | #14dd14 | Vermudolls |
| 306 | #6a685d | Haploborolls |
| 307 | #fae6b9 | Argiborolls |
| 308 | #769a34 | Haplaquolls |
| 309 | #6ff2df | Cryoborolls |
| 310 | #ca7fc6 | Natriborolls |
| 311 | #d8228f | Calciborolls |
| 312 | #c01bf0 | Paleborolls |
| 342 | #d2bad3 | Alaquods |
| 343 | #d8c3cb | Alorthods |
| 345 | #d4c6d4 | Duraquods |
| 348 | #d5bed5 | Durorthods |
| 349 | #ddb9dd | Endoaquods |
| 350 | #d8d2d8 | Epiaquods |
| 351 | #d4c9d4 | Fragiaquods |
| 353 | #d2bad5 | Fragiorthods |
| 354 | #d5bad5 | Haplocryods |
| 356 | #d5b2d5 | Haplohumods |
| 357 | #d8c8d2 | Haplorthods |
| 358 | #d4cbd4 | Humicryods |
| 367 | #552638 | Haplaquods |
| 368 | #2571eb | Cryorthods |
| 370 | #ffa514 | Albaquults |
| 371 | #f3a502 | Endoaquults |
| 372 | #fb7b00 | Epiaquults |
| 373 | #f0b405 | Fragiaquults |
| 374 | #f7a80f | Fragiudults |
| 375 | #fb9113 | Haplohumults |
| 376 | #ffa519 | Haploxerults |
| 377 | #f3a702 | Hapludults |
| 378 | #fbba07 | Haplustults |
| 381 | #f7970f | Kandiudults |
| 385 | #f3a702 | Kanhapludults |
| 387 | #fb5a00 | Paleaquults |
| 388 | #f0c005 | Palehumults |
| 389 | #f7810f | Paleudults |
| 390 | #ff9c00 | Paleustults |
| 391 | #f3b002 | Palexerults |
| 396 | #f0b005 | Rhodudults |
| 399 | #f7980f | Umbraquults |
| 401 | #4d7cfc | Ochraquults |
| 403 | #ffff00 | Calciaquerts |
| 405 | #fafa05 | Calciusterts |
| 406 | #ebeb22 | Calcixererts |
| 409 | #ffff14 | Dystraquerts |
| 410 | #f1f10a | Dystruderts |
| 412 | #fafa05 | Endoaquerts |
| 413 | #ebeb1e | Epiaquerts |
| 414 | #f5eb0c | Gypsitorrerts |
| 415 | #eef506 | Gypsiusterts |
| 417 | #f1f129 | Haplotorrerts |
| 418 | #fafa05 | Haploxererts |
| 419 | #ebeb0c | Hapluderts |
| 420 | #f5d202 | Haplusterts |
| 422 | #ffd700 | Natraquerts |
| 424 | #f1f12b | Salitorrerts |
| 429 | #a91fac | Chromusterts |
| 430 | #2da468 | Pellusterts |
| 431 | #9a8b71 | Chromoxererts |
| 432 | #76b989 | Pelluderts |
| 433 | #713959 | Torrerts |
Terms of Use
Terms of Use
Citations
Citations:
Tomislav Hengl, & Travis Nauman. (2018). Predicted USDA soil great groups at 250 m (probabilities) (Version v01) [Data set]. Zenodo. 10.5281/zenodo.1476844
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.Image('OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX_C/v01'); var visualization = { bands: ['grtgroup'], min: 0, max: 433, palette: [ 'ffffff', 'adff2d', 'adff22', 'a5ff2f', '87ff37', 'baf019', '87ff19', '96f03d', 'a3f52f', 'aff319', '91ff37', '9cf319', '9bff37', '91ff19', '71ff37', '86ff19', 'a9d42d', 'aff519', '9bff19', '9af024', 'a5fd2f', '88ff37', 'afed19', '71ff19', 'aff026', '8cf537', 'b7ff19', '7177c0', '9a85ec', 'f5f5e1', '52cf5a', 'e42777', '4ef76d', 'ff00fb', 'eb05eb', 'fa04fa', 'fc04f5', 'f50df0', 'f118f1', 'fa0cfa', 'fc05e1', 'f100d5', 'eb09e6', 'fa22fa', 'ffdab9', 'f5d2bb', 'e8c9b8', 'ffddc4', 'e7cbc0', 'ffd2c3', 'f5d6bb', 'd5d3b9', 'e8d4b8', 'e7cdc0', 'f3eac8', 'a0c4ba', 'ffd2b9', 'f5dabb', 'f5d5b9', 'e8ebb8', 'ffddc2', 'e7ffc0', 'f3e6c8', 'ffdab9', 'f5cdb9', 'a91d30', '796578', 'd8ff6e', '177548', '43efd6', '8496a9', '296819', '73ffd4', '6fffc8', '75fbc9', '86f5d1', '82ffd2', '88eec8', '80ffd4', '6bffc9', '88eec8', '7fffc8', '81ffd2', '86f0d4', '67ffc8', '88eec8', '7ffbcb', '87ffd2', '8af5ce', '6bfad2', '78f0d4', '88eec8', '7ffbd4', '73f5cd', '88c8d2', '91f0cd', '73cdd2', '88eec8', 'fb849b', 'dd4479', '61388b', 'a52a30', '722328', 'd81419', 'a42828', '82f5cd', 'a54c2e', 'c11919', 'b91419', '21b199', '702028', 'b41919', 'b22328', 'a2c7eb', '36ba79', '806797', 'cb5b5f', 'cd5c5c', 'd94335', 'd35740', 'e05a5d', 'cf5b5c', 'ca5964', 'ca5d5f', 'cd5e5a', 'ca5969', 'd95a35', 'd36240', 'e05c43', 'd64755', 'cf595c', 'ff5f5f', 'cd6058', 'd95f35', 'd35140', 'd65a55', 'e05c59', 'cf525e', 'c65978', 'f5615f', '826f9a', 'cff41a', '4a6f31', 'a96989', 'e16438', '24f640', '88c1f9', 'f5d25c', 'd74322', '7f939e', '41a545', '8f8340', '09fe03', '0aff00', '0ff30f', '02f00a', '0fc903', '17f000', '0cff00', '0ac814', '0cfe00', '0aff0a', '03ff05', '1cf31c', '24f000', '00ff0c', '14c814', '00fe4c', '14ff96', '44d205', '05f305', '62f00a', '0fcd03', '00d20f', '1add11', '09ff0c', '03ff05', '05e700', '02f00a', '0fea03', '00f000', '0ccb0c', '14dd14', '6a685d', 'fae6b9', '769a34', '6ff2df', 'ca7fc6', 'd8228f', 'c01bf0', 'd2bad3', 'd8c3cb', 'd4c6d4', 'd5bed5', 'ddb9dd', 'd8d2d8', 'd4c9d4', 'd2bad5', 'd5bad5', 'd5b2d5', 'd8c8d2', 'd4cbd4', '552638', '2571eb', 'ffa514', 'f3a502', 'fb7b00', 'f0b405', 'f7a80f', 'fb9113', 'ffa519', 'f3a702', 'fbba07', 'f7970f', 'f3a702', 'fb5a00', 'f0c005', 'f7810f', 'ff9c00', 'f3b002', 'f0b005', 'f7980f', '4d7cfc', 'ffff00', 'fafa05', 'ebeb22', 'ffff14', 'f1f10a', 'fafa05', 'ebeb1e', 'f5eb0c', 'eef506', 'f1f129', 'fafa05', 'ebeb0c', 'f5d202', 'ffd700', 'f1f12b', 'a91fac', '2da468', '9a8b71', '76b989', '713959', ] }; Map.centerObject(dataset); Map.addLayer(dataset, visualization, 'USDA soil taxonomy great groups');