
- Ketersediaan Set Data
- 2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
- Penyedia Set Data
- iSDA
- Tag
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
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");