
- Ketersediaan Set Data
- 2001-01-01T00:00:00Z–2017-01-01T00:00:00Z
- Penyedia Set Data
- iSDA
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Deskripsi
Konten batu pada kedalaman tanah 0-20 cm dan 20-50 cm, rata-rata yang diprediksi dan simpangan baku.
Nilai piksel harus ditransformasikan kembali dengan exp(x/10)-1
.
Di area hutan lebat (umumnya di Afrika tengah), akurasi model rendah sehingga artefak seperti banding (striping) mungkin terlihat.
Prediksi properti tanah dibuat oleh Innovative Solutions for Decision Agriculture Ltd. (iSDA) dengan ukuran piksel 30 m menggunakan machine learning yang digabungkan dengan data penginderaan jarak jauh dan set pelatihan yang terdiri dari lebih dari 100.000 sampel tanah yang dianalisis.
Informasi selengkapnya dapat ditemukan di FAQ dan dokumentasi informasi teknis. Untuk mengirimkan masalah atau meminta dukungan, kunjungi situs iSDAsoil.
Band
Ukuran Piksel
30 meter
Band
Nama | Unit | Min | Maks | Deskripsi |
---|---|---|---|---|
mean_0_20 |
% | 0 | 42 | Konten batu, prediksi rata-rata pada kedalaman 0-20 cm |
mean_20_50 |
% | 0 | 42 | Konten batu, perkiraan rata-rata pada kedalaman 20-50 cm |
stdev_0_20 |
% | 1 | 159 | Konten batu, simpangan baku pada kedalaman 0-20 cm |
stdev_20_50 |
% | 1 | 158 | Konten batu, simpangan baku pada kedalaman 20-50 cm |
Persyaratan Penggunaan
Persyaratan Penggunaan
Kutipan
Hengl, T., Miller, M.A.E., Križan, J., et al. Properti dan nutrisi tanah Afrika yang dipetakan pada resolusi spasial 30 m menggunakan machine learning ensemble dua skala. Sci Rep 11, 6130 (2021). doi:10.1038/s41598-021-85639-y
Menjelajahi dengan Earth Engine
Editor Kode (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");