Google Earth Engine——250米处美国农业部土壤分类的预测数据集
Google Earth Engine——250米处美国农业部土壤分类的预测数据集
Predicted USDA soil great group probablities 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]soil · master · OpenLandMap / global-layers · GitLab) . Antartica is not included.
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If you discover a bug, artifact or inconsistency in the LandGIS maps or if you have a question please use the following channels:
- Technical issues and questions about the code
- General questions and comments 250米处美国农业部土壤大组的预测概率 根据全球土壤剖面汇编的机器学习预测，美国农业部土壤大组的分布。要了解更多关于土壤大类的信息，请参考《土壤分类法图解指南》--NRCS--USDA。处理步骤有详细描述[这里]https://gitlab.com/openlandmap/global-layers/tree/master/soil）。南极洲不包括在内。 要访问和可视化地球引擎以外的地图，请使用这个页面。 如果您发现LandGIS地图中的错误、伪装或不一致之处，或者您有问题，请使用以下渠道。 关于代码的技术问题和疑问 一般问题和评论
Dataset Availability
1950-01-01T00:00:00 - 2018-01-01T00:00:00
Dataset Provider
Collection Snippet
ee.Image("OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX_C/v01")
Resolution
250 meters
Bands Table
Name | Description |
|---|---|
grtgroup | USDA soil taxonomy great groups |
Class Table: grtgroup
Value | Color | Color Value | 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 |
数据引用：
Tomislav Hengl, & Travis Nauman. (2018). Predicted USDA soil great groups at 250 m (probabilities) (Version v01) [Data set]. Zenodo. 10.5281/zenodo.1476844
Predicted USDA soil great groups at 250 m (probabilities) | Zenodo
代码：
var dataset = ee.Image("OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX_C/v01");
var visualization = {
bands: ['grtgroup'],
min: 0.0,
max: 433.0,
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");
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