全球土壤剖面汇编数据
OpenLandMap USDA Soil Taxonomy Great Groups 简介与Notebook示例
该数据集为USDA根据全球土壤剖面汇编数据经机器学习方法进行预测生成的土壤分类数据产品。
美国农业部土壤大类的分布,基于全球土壤剖面汇编(>350,000 个训练点)的机器学习预测。要了解有关土壤大类的更多信息,请参阅《土壤分类图解指南》(Illustrated Guide to Soil Taxonomy)- NRCS - USDA。此处详细介绍了处理步骤。不包括南极洲。https://www.cbedai.net/xg
要访问和可视化地图,请使用OpenLandMap.org
所有预测的备份副本(>65GB)可从以下网址下载: http://gofile.me/6J25n/mQ3cHOOMr
如果您发现地图中的错误、人工痕迹或不一致之处,或者您有任何疑问,请使用以下渠道:
有关代码的技术问题和疑问: https://gitlab.com/openlandmap/global-layers/issues
一般问题和评论: https://disqus.com/home/forums/landgis/
所有文件均使用 GDAL 中的 "COMPRESS=DEFLATE "创建选项进行内部压缩。文件命名约定:
sol = 主题:土壤、
grtgroup = 变量:USDA great group、
usda.argiustolls = 确定方法:USDA 土壤分类等级 Argiustolls、
p = 概率、
250m = 空间分辨率/区块支持:250 m,
s0..0cm = 垂直参考:土壤表面、
1950..2017 = 时间基准:1950-2017 年、
v0.2 = 版本号:0.2、
分辨率
250
波段
名称 | 描述 |
---|---|
grtgroup | USDA soil taxonomy great group |
grtgroup Class Table
数值 | 类型 |
---|---|
0 | NODATA |
1 | Albaqualfs |
2 | Cryaqualfs |
4 | Durixeralfs |
6 | Endoaqualfs |
7 | Epiaqualfs |
9 | Fragiaqualfs |
10 | Fragiudalfs |
11 | Fragixeralfs |
12 | Fraglossudalfs |
13 | Glossaqualfs |
14 | Glossocryalfs |
15 | Glossudalfs |
16 | Haplocryalfs |
17 | Haploxeralfs |
18 | Hapludalfs |
19 | Haplustalfs |
25 | Natraqualfs |
26 | Natrixeralfs |
27 | Natrudalfs |
28 | Natrustalfs |
29 | Palecryalfs |
30 | Paleudalfs |
31 | Paleustalfs |
32 | Palexeralfs |
38 | Rhodustalfs |
39 | Vermaqualfs |
41 | Eutroboralfs |
42 | Ochraqualfs |
43 | Glossoboralfs |
44 | Cryoboralfs |
45 | Natriboralfs |
46 | Paleboralfs |
50 | Cryaquands |
58 | Fulvicryands |
59 | Fulvudands |
61 | Haplocryands |
63 | Haploxerands |
64 | Hapludands |
74 | Udivitrands |
75 | Ustivitrands |
76 | Vitraquands |
77 | Vitricryands |
80 | Vitrixerands |
82 | Aquicambids |
83 | Aquisalids |
85 | Argidurids |
86 | Argigypsids |
87 | Calciargids |
89 | Calcigypsids |
90 | Gypsiargids |
92 | Haplargids |
93 | Haplocalcids |
94 | Haplocambids |
96 | Haplodurids |
97 | Haplogypsids |
98 | Haplosalids |
99 | Natrargids |
100 | Natridurids |
101 | Natrigypsids |
102 | Paleargids |
103 | Petroargids |
104 | Petrocalcids |
105 | Petrocambids |
107 | Petrogypsids |
110 | Calciorthids |
111 | Camborthids |
112 | Paleorthids |
113 | Durorthids |
114 | Durargids |
115 | Gypsiorthids |
116 | Nadurargids |
118 | Cryaquents |
119 | Cryofluvents |
120 | Cryopsamments |
121 | Cryorthents |
122 | Endoaquents |
123 | Epiaquents |
124 | Fluvaquents |
126 | Frasiwassents |
131 | Hydraquents |
133 | Psammaquents |
134 | Psammowassents |
135 | Quartzipsamments |
136 | Sulfaquents |
137 | Sulfiwassents |
138 | Torrifluvents |
139 | Torriorthents |
140 | Torripsamments |
141 | Udifluvents |
142 | Udipsamments |
143 | Udorthents |
144 | Ustifluvents |
145 | Ustipsamments |
146 | Ustorthents |
147 | Xerofluvents |
148 | Xeropsamments |
149 | Xerorthents |
153 | Udarents |
154 | Torriarents |
155 | Xerarents |
179 | Cryofibrists |
180 | Cryofolists |
181 | Cryohemists |
182 | Cryosaprists |
183 | Frasiwassists |
184 | Haplofibrists |
185 | Haplohemists |
186 | Haplosaprists |
189 | Sphagnofibrists |
190 | Sulfihemists |
191 | Sulfisaprists |
196 | Udifolists |
201 | Borosaprists |
202 | Medisaprists |
203 | Borohemists |
206 | Calcicryepts |
207 | Calciustepts |
208 | Calcixerepts |
209 | Cryaquepts |
210 | Durixerepts |
212 | Durustepts |
213 | Dystrocryepts |
215 | Dystroxerepts |
216 | Dystrudepts |
217 | Dystrustepts |
218 | Endoaquepts |
219 | Epiaquepts |
220 | Eutrudepts |
221 | Fragiaquepts |
222 | Fragiudepts |
225 | Halaquepts |
226 | Haplocryepts |
228 | Haploxerepts |
229 | Haplustepts |
230 | Humaquepts |
231 | Humicryepts |
233 | Humixerepts |
234 | Humudepts |
235 | Humustepts |
245 | Ustochrepts |
246 | Eutrochrepts |
247 | Dystrochrepts |
248 | Eutrocryepts |
249 | Haplaquepts |
250 | Xerochrepts |
251 | Cryochrepts |
252 | Fragiochrepts |
253 | Haplumbrepts |
254 | Cryumbrepts |
255 | Dystropepts |
256 | Vitrandepts |
268 | Argialbolls |
269 | Argiaquolls |
270 | Argicryolls |
271 | Argiudolls |
272 | Argiustolls |
273 | Argixerolls |
274 | Calciaquolls |
275 | Calcicryolls |
276 | Calciudolls |
277 | Calciustolls |
278 | Calcixerolls |
279 | Cryaquolls |
280 | Cryrendolls |
283 | Durixerolls |
284 | Durustolls |
285 | Endoaquolls |
286 | Epiaquolls |
287 | Haplocryolls |
289 | Haploxerolls |
290 | Hapludolls |
291 | Haplustolls |
292 | Haprendolls |
294 | Natraquolls |
296 | Natrixerolls |
297 | Natrudolls |
298 | Natrustolls |
299 | Palecryolls |
300 | Paleudolls |
301 | Paleustolls |
302 | Palexerolls |
303 | Vermudolls |
306 | Haploborolls |
307 | Argiborolls |
308 | Haplaquolls |
309 | Cryoborolls |
310 | Natriborolls |
311 | Calciborolls |
312 | Paleborolls |
342 | Alaquods |
343 | Alorthods |
345 | Duraquods |
348 | Durorthods |
349 | Endoaquods |
350 | Epiaquods |
351 | Fragiaquods |
353 | Fragiorthods |
354 | Haplocryods |
356 | Haplohumods |
357 | Haplorthods |
358 | Humicryods |
367 | Haplaquods |
368 | Cryorthods |
370 | Albaquults |
371 | Endoaquults |
372 | Epiaquults |
373 | Fragiaquults |
374 | Fragiudults |
375 | Haplohumults |
376 | Haploxerults |
377 | Hapludults |
378 | Haplustults |
381 | Kandiudults |
385 | Kanhapludults |
387 | Paleaquults |
388 | Palehumults |
389 | Paleudults |
390 | Paleustults |
391 | Palexerults |
396 | Rhodudults |
399 | Umbraquults |
401 | Ochraquults |
403 | Calciaquerts |
405 | Calciusterts |
406 | Calcixererts |
409 | Dystraquerts |
410 | Dystruderts |
412 | Endoaquerts |
413 | Epiaquerts |
414 | Gypsitorrerts |
415 | Gypsiusterts |
417 | Haplotorrerts |
418 | Haploxererts |
419 | Hapluderts |
420 | Haplusterts |
422 | Natraquerts |
424 | Salitorrerts |
429 | Chromusterts |
430 | Pellusterts |
431 | Chromoxererts |
432 | Pelluderts |
433 | Torrerts |
此数据集属于公开数据,有关此数据产品正确引用的更多详细信息,请参阅 EnvirometriX Ltd。 引用参考: Tomislav Hengl, & Travis Nauman. (2018). Predicted USDA soil great groups at 250 m (probabilities) (Version v01)。
代码:
https://www.cbedai.net/xg
- 点赞
- 收藏
- 关注作者
评论(0)