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OpenLandMap USDA Soil Taxonomy Great Groups

OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX_C/v01

Disponibilidad del conjunto de datos: 1950-01-01T00:00:00Z–2018-01-01T00:00:00Z
Proveedor de conjuntos de datos: EnvirometriX Ltd

Etiquetas: envirometrix opengeohub openlandmap soil usda
taxonomía

Descripción

Probabilidades de grandes grupos de suelo del USDA predichas a 250 m.

Distribución de los grandes grupos de suelos del USDA según las predicciones de aprendizaje automático de la compilación global de perfiles de suelos. Para obtener más información sobre los grandes grupos de suelo, consulta la Guía ilustrada de la taxonomía del suelo - NRCS - USDA.

Los pasos de procesamiento se describen en detalle aquí.
No se incluye la Antártida.

Para acceder a los mapas y visualizarlos fuera de Earth Engine, usa esta página.

Si detectas un error, un artefacto o una incoherencia en los mapas de LandGIS, o si tienes alguna pregunta, usa los siguientes canales:

Bandas

Tamaño del píxel
250 metros

Bandas

Nombre	Tamaño de los píxeles	Descripción
`grtgroup`	metros	Grandes grupos de la taxonomía de suelos del USDA

grtgroup Class Table

Valor	Color	Descripción
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	Petrocámbidos
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	Criofibristas
180	#722328	Cryofolists
181	#d81419	Crioquímicos
182	#a42828	Cryosaprists
183	#82f5cd	Frasiwassists
184	#a54c2e	Haplofibrists
185	#c11919	Haplohemists
186	#b91419	Haplosaprists
189	#21b199	Esfagnofibrístas
190	#702028	Sulfihemistas
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	Húmicryepts
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	Húmicryods
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

Condiciones de Uso

Condiciones de Uso

CC-BY-SA-4.0

Citas

Tomislav Hengl y Travis Nauman. (2018). Predicted USDA soil great groups at 250 m (probabilities) (Version v01) [Conjunto de datos: Grupos de suelo principales del USDA previstos a 250 m (probabilidades) (versión v01)]. Zenodo. 10.5281/zenodo.1476844

DOI

https://doi.org/10.5281/zenodo.1476844

Explora con Earth Engine

Editor de código (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');

Abrir en el editor de código

Grandes grupos de la taxonomía de suelos del USDA de OpenLandMap

Probabilidades de grandes grupos de suelo del USDA predichas a 250 m. Distribución de los grandes grupos de suelos del USDA según las predicciones de aprendizaje automático de la recopilación global de perfiles de suelos. Para obtener más información sobre los grandes grupos de suelo, consulta la Illustrated Guide to Soil Taxonomy (Guía ilustrada de la taxonomía del suelo) del NRCS del USDA. Se describen los pasos de procesamiento…

OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX_C/v01, envirometrix,opengeohub,openlandmap,soil,usda

1950-01-01T00:00:00Z/2018-01-01T00:00:00Z

-90 -180 90 180

Google Earth Engine

https://developers.google.com/earth-engine/datasets