Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets-Reference-Cited by-同舟云学术

Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets

Author:

Nabil Mohsen¹²³^ORCID,Zhang Miao¹,Wu Bingfang¹²,Bofana Jose¹²⁴^ORCID,Elnashar Abdelrazek¹²⁵^ORCID

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing, China

2. College of Resources and Environment, University of Chinese Academy of Sciences (UCAS), Beijing, China

3. Division of Agriculture Applications, Soils, and Marine (AASMD), National Authority for Remote Sensing & Space Sciences (NARSS), Cairo, Egypt

4. Faculty of Agricultural Sciences, Catholic University of Mozambique, Cuamba, Mozambique

5. Department of Natural Resources, Faculty of African Postgraduate Studies, Cairo University, Giza, Egypt

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Computer Science Applications

Link

Reference46 articles.

4. CCI, L. C. (2017). S2 prototype land cover 20 m map of Africa.

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