- Disponibilidade do conjunto de dados
- 2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
- Produtor de conjunto de dados
- iSDA Google Earth Engine
- Tags
Descrição
Média e desvio padrão previstos da capacidade de troca de cátions efetiva em profundidades de solo de 0 a 20 cm e de 20 a 50 cm.
Os valores de pixel precisam ser transformados novamente com exp(x/10)-1.
Em áreas de selva densa (geralmente na África Central), a acurácia do modelo é baixa e, portanto, podem aparecer artefatos como bandas (listras).
As previsões de propriedades do solo foram feitas pela Innovative Solutions for Decision Agriculture Ltd. (iSDA) com tamanho de pixel de 30 m usando aprendizado de máquina associado a dados de sensoriamento remoto e um conjunto de treinamento de mais de 100.000 amostras de solo analisadas.
Para mais informações, consulte as perguntas frequentes e a documentação de informações técnicas. Para enviar um problema ou pedir suporte, acesse o site do iSDAsoil.
Bandas
Tamanho do pixel
30 metros
Bandas
| Nome | Unidades | Mín. | Máx. | Tamanho do pixel | Descrição |
|---|---|---|---|---|---|
mean_0_20 |
cmol(+)/kg | 0 | 45 | metros | Capacidade de troca de cátions efetiva, média prevista em profundidade de 0 a 20 cm |
mean_20_50 |
cmol(+)/kg | 0 | 46 | metros | Capacidade de troca de cátions efetiva, média prevista em profundidade de 20 a 50 cm |
stdev_0_20 |
cmol(+)/kg | 0 | 19 | metros | Capacidade de troca de cátions efetiva, desvio padrão na profundidade de 0 a 20 cm |
stdev_20_50 |
cmol(+)/kg | 0 | 20 | metros | Capacidade de troca de cátions efetiva, desvio padrão na profundidade de 20 a 50 cm |
Termos de Uso
Termos de Uso
Citações
Hengl, T., Miller, M.A.E., Križan, J., et al. African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. Sci Rep 11, 6130 (2021). doi:10.1038/s41598-021-85639-y
Explore com o Earth Engine
Editor de código (JavaScript)
var mean_0_20 = '<RasterSymbolizer>' + '<ColorMap type="ramp">' + '<ColorMapEntry color="#000004" label="0-3.5" opacity="1" quantity="15"/>' + '<ColorMapEntry color="#0C0927" label="3.5-4.5" opacity="1" quantity="17"/>' + '<ColorMapEntry color="#231151" label="4.5-5" opacity="1" quantity="18"/>' + '<ColorMapEntry color="#410F75" label="5-6.4" opacity="1" quantity="20"/>' + '<ColorMapEntry color="#5F187F" label="6.4-7.2" opacity="1" quantity="21"/>' + '<ColorMapEntry color="#7B2382" label="7.2-8" opacity="1" quantity="22"/>' + '<ColorMapEntry color="#982D80" label="8-9" opacity="1" quantity="23"/>' + '<ColorMapEntry color="#B63679" label="9-10" opacity="1" quantity="24"/>' + '<ColorMapEntry color="#D3436E" label="10-11.2" opacity="1" quantity="25"/>' + '<ColorMapEntry color="#EB5760" label="11.2-12.5" opacity="1" quantity="26"/>' + '<ColorMapEntry color="#F8765C" label="12.5-13.9" opacity="1" quantity="27"/>' + '<ColorMapEntry color="#FD9969" label="13.9-15.4" opacity="1" quantity="28"/>' + '<ColorMapEntry color="#FEBA80" label="15.4-17.2" opacity="1" quantity="29"/>' + '<ColorMapEntry color="#FDDC9E" label="17.2-19.1" opacity="1" quantity="30"/>' + '<ColorMapEntry color="#FCFDBF" label="19.1-130" opacity="1" quantity="31"/>' + '</ColorMap>' + '<ContrastEnhancement/>' + '</RasterSymbolizer>'; var mean_20_50 = '<RasterSymbolizer>' + '<ColorMap type="ramp">' + '<ColorMapEntry color="#000004" label="0-3.5" opacity="1" quantity="15"/>' + '<ColorMapEntry color="#0C0927" label="3.5-4.5" opacity="1" quantity="17"/>' + '<ColorMapEntry color="#231151" label="4.5-5" opacity="1" quantity="18"/>' + '<ColorMapEntry color="#410F75" label="5-6.4" opacity="1" quantity="20"/>' + '<ColorMapEntry color="#5F187F" label="6.4-7.2" opacity="1" quantity="21"/>' + '<ColorMapEntry color="#7B2382" label="7.2-8" opacity="1" quantity="22"/>' + '<ColorMapEntry color="#982D80" label="8-9" opacity="1" quantity="23"/>' + '<ColorMapEntry color="#B63679" label="9-10" opacity="1" quantity="24"/>' + '<ColorMapEntry color="#D3436E" label="10-11.2" opacity="1" quantity="25"/>' + '<ColorMapEntry color="#EB5760" label="11.2-12.5" opacity="1" quantity="26"/>' + '<ColorMapEntry color="#F8765C" label="12.5-13.9" opacity="1" quantity="27"/>' + '<ColorMapEntry color="#FD9969" label="13.9-15.4" opacity="1" quantity="28"/>' + '<ColorMapEntry color="#FEBA80" label="15.4-17.2" opacity="1" quantity="29"/>' + '<ColorMapEntry color="#FDDC9E" label="17.2-19.1" opacity="1" quantity="30"/>' + '<ColorMapEntry color="#FCFDBF" label="19.1-130" opacity="1" quantity="31"/>' + '</ColorMap>' + '<ContrastEnhancement/>' + '</RasterSymbolizer>'; var stdev_0_20 = '<RasterSymbolizer>' + '<ColorMap type="ramp">' + '<ColorMapEntry color="#fde725" label="low" opacity="1" quantity="1"/>' + '<ColorMapEntry color="#5dc962" label=" " opacity="1" quantity="2"/>' + '<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="3"/>' + '<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="4"/>' + '<ColorMapEntry color="#440154" label="high" opacity="1" quantity="5"/>' + '</ColorMap>' + '<ContrastEnhancement/>' + '</RasterSymbolizer>'; var stdev_20_50 = '<RasterSymbolizer>' + '<ColorMap type="ramp">' + '<ColorMapEntry color="#fde725" label="low" opacity="1" quantity="1"/>' + '<ColorMapEntry color="#5dc962" label=" " opacity="1" quantity="2"/>' + '<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="3"/>' + '<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="4"/>' + '<ColorMapEntry color="#440154" label="high" opacity="1" quantity="5"/>' + '</ColorMap>' + '<ContrastEnhancement/>' + '</RasterSymbolizer>'; var raw = ee.Image("ISDASOIL/Africa/v1/cation_exchange_capacity"); Map.addLayer( raw.select(0).sldStyle(mean_0_20), {}, "Cation exchange capacity, mean visualization, 0-20 cm"); Map.addLayer( raw.select(1).sldStyle(mean_20_50), {}, "Cation exchange capacity, mean visualization, 20-50 cm"); Map.addLayer( raw.select(2).sldStyle(stdev_0_20), {}, "Cation exchange capacity, stdev visualization, 0-20 cm"); Map.addLayer( raw.select(3).sldStyle(stdev_20_50), {}, "Cation exchange capacity, stdev visualization, 20-50 cm"); var converted = raw.divide(10).exp().subtract(1); var visualization = {min: 0, max: 25}; Map.setCenter(25, -3, 2); Map.addLayer(converted.select(0), visualization, "Cation exchange capacity, mean, 0-20 cm");