Exploring the Potential of Gaofen-1/6 for Crop Monitoring: Generating Daily Decametric-Resolution Leaf Area Index Time Series

Author:

Xu Baodong1ORCID,Wei Haodong1,Cai Zhiwen1,Yang Jingya1,Zhang Zhewei1,Wang Cong2,Li Jing3,Zhao Jing3ORCID,Qu Yonghua4ORCID,Yin Gaofei5ORCID,Verger Aleixandre6ORCID

Affiliation:

1. Macro Agriculture Research Institute, College of Resources and Environment, Huazhong Agricultural University, Wuhan, China

2. Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province/College of Urban and Environmental Sciences, Central China Normal University, Wuhan, China

3. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China

4. State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Institute of Remote Sensing Science and Engineering, Faculty of Geography Science, Beijing Normal University, Beijing, China

5. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

6. Desertification Research Centre, Spanish National Research Council, CIDE-CSIC, Valencia, Spain

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Fundamental Resources Investigation Program

Sichuan Science and Technology Program

European Union's Horizon 2020 Research and Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

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