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A 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, Crowdsource, and Auxiliary Datasets.

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posted on 2021-01-07, 10:34 authored by Mohsen NabilMohsen Nabil, Miao Zhang, Bingfang Wu, Jose Bofana, Abdelrazek Elnashar
In order to produce the most accurate cropland layer at 30 m spatial resolution for Africa, the cropland layers extracted from four remote sensing land cover datasets were integrated. The four datasets covered the period 2015 to 2017. Hence, the constructed cropland layer was produced for the nominal year 2016. To build the final layer, the cropland mapping accuracies of the four cropland layers were firstly investigated at the units of Agro-ecological zones. Then, the best cropland layers for all zones were spatially joined. The resulted cropland layer is a binary mask with higher overall accuracy than individual layers and more consistent with FAO official statistics.

Funding

National Natural Science Foundation of China (41561144013, 41861144019 and 41701496)

National Key R&D Program of China (2016YFA0600302)

The Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19030201)

History