Google Earth Engine ——2001-2017年非洲0-200 厘米深度的基巖深度,預測平均值和標準偏差數據集
iSDAsoil Depth to Bedrock
Depth to bedrock at 0-200 cm depth, predicted mean and standard deviation.
Due to the potential cropland mask that was used for generating the data, many areas of exposed rock (where depth to bedrock would be 0 cm) have been masked out and therefore appear as nodata values. The maximum depth of this layer is 200 cm, but this does not represent the maximum possible soil depth, therefore values of 200 should be interpreted as >= 200.
In areas of dense jungle (generally over central Africa), model accuracy is low and therefore artefacts such as banding (striping) might be seen.
Soil property predictions were made by?Innovative Solutions for Decision Agriculture Ltd. (iSDA)?at 30 m pixel size using machine learning coupled with remote sensing data and a training set of over 100,000 analyzed soil samples.
Further information can be found in the?FAQ?and?technical information documentation. To submit an issue or request support, please visit?the iSDAsoil site.
0-200 厘米深度的基巖深度,預測平均值和標準偏差。 由于用于生成數據的潛在農田掩膜,許多裸露巖石區域(基巖深度為 0 厘米)已被掩蔽,因此顯示為無數據值。該層的最大深度為 200 厘米,但這并不代表可能的最大土壤深度,因此值 200 應解釋為 >= 200。 在茂密的叢林地區(通常在非洲中部),模型精度較低,因此可能會看到條帶(條紋)等偽影。 Innovative Solutions for Decision Agriculture Ltd. (iSDA) 使用機器學習、遙感數據和超過 100,000 個分析土壤樣本的訓練集,以 30 m 像素大小進行了土壤特性預測。 可以在常見問題解答和技術信息文檔中找到更多信息。要提交問題或請求支持,請訪問 iSDAsoil 站點。
Dataset Availability
2001-01-01T00:00:00 - 2017-01-01T00:00:00
Dataset Provider
iSDA
Collection Snippet
ee.Image("ISDASOIL/Africa/v1/bedrock_depth")
Resolution
30 meters
Bands Table
數據引用:
Hengl, T., Miller, M.A.E., Kri?an, 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
代碼:
var mean_0_200 = '
機器學習
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