Evaluating satellite hyperspectral (Orbita) and multispectral (Landsat 8 and Sentinel-2) imagery for identifying cotton acreage

Author:

Wang Changwei12,Chen Qi3,Fan Haisheng4,Yao Chaolong12,Sun Xin4,Chan Ji4,Deng Jizhong56

Affiliation:

1. Department of Geomatics and Remote Sensing, College of Natural Resources and Environment, South China Agricultural University, Guangzhou, China

2. Guangdong Province Key Laboratory for Land Use and Consolidation, Guangzhou, China

3. Department of Geography, University of Hawaiî at Mānoa, Honolulu, HI, USA

4. Team of Remote Sensing Big Data, Zhu-hai ORBITA Aerospace Science & Technology Co., Ltd. Zhuhai, China

5. Department of Automation, College of Engineering, South China Agricultural University, Guangzhou, China

6. National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China

Funder

the National Modern Agricultural Technology System Cotton Industry System Field Management Mechanization Post-Expert Project

Promoting Economic Development of Guangdong Province Special Foundation

the open fund of Guangxi Key Laboratory of Spatial Information and Geomatic

Cloud Service Platform and Applications based on ‘ZHUHAI No.1’ Constellation & Remote Sensing Big Data

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

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