iSDAsoil Stone Content

ISDASOIL/Africa/v1/stone_content
Disponibilidade de conjuntos de dados
2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
Provedor de conjunto de dados
Snippet do Earth Engine
ee.Image("ISDASOIL/Africa/v1/stone_content")
Tags
africa isda soil
pedra

Descrição

Conteúdo de pedras em profundidades de 0 a 20 cm e 20 a 50 cm, média prevista e desvio padrão.

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 machine learning e dados de sensoriamento remoto,além de um conjunto de treinamento de mais de 100.000 amostras de solo analisadas.

Mais informações podem ser encontradas no FAQ e na 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 % 0 42 metros

Conteúdo de pedras, média prevista em profundidade de 0 a 20 cm

mean_20_50 % 0 42 metros

Conteúdo de pedras, média prevista a uma profundidade de 20 a 50 cm

stdev_0_20 % 1 159 metros

Conteúdo de pedras, desvio padrão na profundidade de 0 a 20 cm

stdev_20_50 % 1 158 metros

Conteúdo de pedras, desvio padrão a uma profundidade de 20 a 50 cm

Termos de Uso

Termos de Uso

CC-BY-4.0

Citações

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

Explorar com o Earth Engine

Editor de código (JavaScript)

var mean_0_20 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#00204D" label="0-0.1" opacity="1" quantity="1"/>' +
  '<ColorMapEntry color="#002D6C" label="0.1-0.3" opacity="1" quantity="3"/>' +
  '<ColorMapEntry color="#16396D" label="0.3-0.5" opacity="1" quantity="4"/>' +
  '<ColorMapEntry color="#36476B" label="0.5-0.6" opacity="1" quantity="5"/>' +
  '<ColorMapEntry color="#4B546C" label="0.6-0.8" opacity="1" quantity="6"/>' +
  '<ColorMapEntry color="#5C616E" label="0.8-1" opacity="1" quantity="7"/>' +
  '<ColorMapEntry color="#6C6E72" label="1-1.2" opacity="1" quantity="8"/>' +
  '<ColorMapEntry color="#7C7B78" label="1.2-1.5" opacity="1" quantity="9"/>' +
  '<ColorMapEntry color="#8E8A79" label="1.5-1.7" opacity="1" quantity="10"/>' +
  '<ColorMapEntry color="#A09877" label="1.7-2" opacity="1" quantity="11"/>' +
  '<ColorMapEntry color="#B3A772" label="2-2.3" opacity="1" quantity="12"/>' +
  '<ColorMapEntry color="#C6B66B" label="2.3-2.7" opacity="1" quantity="13"/>' +
  '<ColorMapEntry color="#DBC761" label="2.7-3.1" opacity="1" quantity="14"/>' +
  '<ColorMapEntry color="#F0D852" label="3.1-3.5" opacity="1" quantity="15"/>' +
  '<ColorMapEntry color="#FFEA46" label="3.5-80" opacity="1" quantity="16"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var mean_20_50 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#00204D" label="0-0.1" opacity="1" quantity="1"/>' +
  '<ColorMapEntry color="#002D6C" label="0.1-0.3" opacity="1" quantity="3"/>' +
  '<ColorMapEntry color="#16396D" label="0.3-0.5" opacity="1" quantity="4"/>' +
  '<ColorMapEntry color="#36476B" label="0.5-0.6" opacity="1" quantity="5"/>' +
  '<ColorMapEntry color="#4B546C" label="0.6-0.8" opacity="1" quantity="6"/>' +
  '<ColorMapEntry color="#5C616E" label="0.8-1" opacity="1" quantity="7"/>' +
  '<ColorMapEntry color="#6C6E72" label="1-1.2" opacity="1" quantity="8"/>' +
  '<ColorMapEntry color="#7C7B78" label="1.2-1.5" opacity="1" quantity="9"/>' +
  '<ColorMapEntry color="#8E8A79" label="1.5-1.7" opacity="1" quantity="10"/>' +
  '<ColorMapEntry color="#A09877" label="1.7-2" opacity="1" quantity="11"/>' +
  '<ColorMapEntry color="#B3A772" label="2-2.3" opacity="1" quantity="12"/>' +
  '<ColorMapEntry color="#C6B66B" label="2.3-2.7" opacity="1" quantity="13"/>' +
  '<ColorMapEntry color="#DBC761" label="2.7-3.1" opacity="1" quantity="14"/>' +
  '<ColorMapEntry color="#F0D852" label="3.1-3.5" opacity="1" quantity="15"/>' +
  '<ColorMapEntry color="#FFEA46" label="3.5-80" opacity="1" quantity="16"/>' +
 '</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/stone_content");
Map.addLayer(
    raw.select(0).sldStyle(mean_0_20), {},
    "Stone content, mean visualization, 0-20 cm");
Map.addLayer(
    raw.select(1).sldStyle(mean_20_50), {},
    "Stone content, mean visualization, 20-50 cm");
Map.addLayer(
    raw.select(2).sldStyle(stdev_0_20), {},
    "Stone content, stdev visualization, 0-20 cm");
Map.addLayer(
    raw.select(3).sldStyle(stdev_20_50), {},
    "Stone content, stdev visualization, 20-50 cm");

var converted = raw.divide(10).exp().subtract(1);

var visualization = {min: 0, max: 6};

Map.setCenter(25, -3, 2);

Map.addLayer(converted.select(0), visualization, "Stone content, mean, 0-20 cm");
Abrir no Editor de código