iSDAsoil Extractable Sulfur

ISDASOIL/Africa/v1/sulphur_extractable
Ketersediaan Set Data
2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
Penyedia Set Data
Cuplikan Earth Engine
ee.Image("ISDASOIL/Africa/v1/sulphur_extractable")
Tag
africa isda soil
belerang

Deskripsi

Sulfur yang dapat diekstrak pada kedalaman tanah 0-20 cm dan 20-50 cm, rata-rata dan standar deviasi yang diprediksi.

Nilai piksel harus ditransformasikan kembali dengan exp(x/10)-1.

Di area hutan lebat (umumnya di Afrika tengah), akurasi model rendah dan oleh karena itu artefak seperti banding (garis-garis) mungkin terlihat.

Prediksi properti tanah dibuat oleh Innovative Solutions for Decision Agriculture Ltd. (iSDA) pada ukuran piksel 30 m menggunakan machine learning yang dipadukan dengan data penginderaan jauh dan set pelatihan lebih dari 100.000 sampel tanah yang dianalisis.

Informasi selengkapnya dapat ditemukan di FAQ dan dokumentasi informasi teknis. Untuk mengirimkan masalah atau meminta dukungan, buka situs iSDAsoil.

Band

Ukuran Piksel
30 meter

Band

Nama Unit Min Maks Ukuran Piksel Deskripsi
mean_0_20 ppm 3 42 meter

Belerang, dapat diekstrak, rata-rata yang diprediksi pada kedalaman 0-20 cm

mean_20_50 ppm 0 39 meter

Belerang, dapat diekstrak, rata-rata yang diprediksi pada kedalaman 20-50 cm

stdev_0_20 ppm 1 37 meter

Belerang, dapat diekstrak, simpangan baku pada kedalaman 0-20 cm

stdev_20_50 ppm 3 41 meter

Belerang, dapat diekstrak, standar deviasi pada kedalaman 20-50 cm

Persyaratan Penggunaan

Persyaratan Penggunaan

CC-BY-4.0

Kutipan

Kutipan:
  • 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

Menjelajahi dengan Earth Engine

Code Editor (JavaScript)

var mean_0_20 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#0D0887" label="0-2.3" opacity="1" quantity="12"/>' +
  '<ColorMapEntry color="#350498" label="2.3-3.1" opacity="1" quantity="14"/>' +
  '<ColorMapEntry color="#5402A3" label="3.1-3.5" opacity="1" quantity="15"/>' +
  '<ColorMapEntry color="#7000A8" label="3.5-4" opacity="1" quantity="16"/>' +
  '<ColorMapEntry color="#8B0AA5" label="4-5" opacity="1" quantity="18"/>' +
  '<ColorMapEntry color="#A31E9A" label="5-5.7" opacity="1" quantity="19"/>' +
  '<ColorMapEntry color="#B93289" label="5.7-6.4" opacity="1" quantity="20"/>' +
  '<ColorMapEntry color="#CC4678" label="6.4-7.2" opacity="1" quantity="21"/>' +
  '<ColorMapEntry color="#DB5C68" label="7.2-8" opacity="1" quantity="22"/>' +
  '<ColorMapEntry color="#E97158" label="8-9" opacity="1" quantity="23"/>' +
  '<ColorMapEntry color="#F48849" label="9-10" opacity="1" quantity="24"/>' +
  '<ColorMapEntry color="#FBA139" label="10-11.2" opacity="1" quantity="25"/>' +
  '<ColorMapEntry color="#FEBC2A" label="11.2-12.5" opacity="1" quantity="26"/>' +
  '<ColorMapEntry color="#FADA24" label="12.5-15.4" opacity="1" quantity="28"/>' +
  '<ColorMapEntry color="#F0F921" label="15.4-125" opacity="1" quantity="30"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var mean_20_50 =
'<RasterSymbolizer>' +
 '<ColorMap type="ramp">' +
  '<ColorMapEntry color="#0D0887" label="0-2.3" opacity="1" quantity="12"/>' +
  '<ColorMapEntry color="#350498" label="2.3-3.1" opacity="1" quantity="14"/>' +
  '<ColorMapEntry color="#5402A3" label="3.1-3.5" opacity="1" quantity="15"/>' +
  '<ColorMapEntry color="#7000A8" label="3.5-4" opacity="1" quantity="16"/>' +
  '<ColorMapEntry color="#8B0AA5" label="4-5" opacity="1" quantity="18"/>' +
  '<ColorMapEntry color="#A31E9A" label="5-5.7" opacity="1" quantity="19"/>' +
  '<ColorMapEntry color="#B93289" label="5.7-6.4" opacity="1" quantity="20"/>' +
  '<ColorMapEntry color="#CC4678" label="6.4-7.2" opacity="1" quantity="21"/>' +
  '<ColorMapEntry color="#DB5C68" label="7.2-8" opacity="1" quantity="22"/>' +
  '<ColorMapEntry color="#E97158" label="8-9" opacity="1" quantity="23"/>' +
  '<ColorMapEntry color="#F48849" label="9-10" opacity="1" quantity="24"/>' +
  '<ColorMapEntry color="#FBA139" label="10-11.2" opacity="1" quantity="25"/>' +
  '<ColorMapEntry color="#FEBC2A" label="11.2-12.5" opacity="1" quantity="26"/>' +
  '<ColorMapEntry color="#FADA24" label="12.5-15.4" opacity="1" quantity="28"/>' +
  '<ColorMapEntry color="#F0F921" label="15.4-125" opacity="1" quantity="30"/>' +
 '</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="3"/>' +
  '<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="4"/>' +
  '<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="6"/>' +
  '<ColorMapEntry color="#440154" label="high" opacity="1" quantity="14"/>' +
 '</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="3"/>' +
  '<ColorMapEntry color="#20908d" label=" " opacity="1" quantity="4"/>' +
  '<ColorMapEntry color="#3a528b" label=" " opacity="1" quantity="6"/>' +
  '<ColorMapEntry color="#440154" label="high" opacity="1" quantity="14"/>' +
 '</ColorMap>' +
 '<ContrastEnhancement/>' +
'</RasterSymbolizer>';

var raw = ee.Image("ISDASOIL/Africa/v1/sulphur_extractable");
Map.addLayer(
    raw.select(0).sldStyle(mean_0_20), {},
    "Sulphur extractable, mean visualization, 0-20 cm");
Map.addLayer(
    raw.select(1).sldStyle(mean_20_50), {},
    "Sulphur extractable, mean visualization, 20-50 cm");
Map.addLayer(
    raw.select(2).sldStyle(stdev_0_20), {},
    "Sulphur extractable, stdev visualization, 0-20 cm");
Map.addLayer(
    raw.select(3).sldStyle(stdev_20_50), {},
    "Sulphur extractable, stdev visualization, 20-50 cm");

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

var visualization = {min: 0, max: 20};

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

Map.addLayer(converted.select(0), visualization, "Sulphur extractable, mean, 0-20 cm");
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