Evaluating the potential of temporal Sentinel-1A data for paddy rice discrimination at local scales

Author:

Mansaray Lamin R.123ORCID,Zhang Dongdong12,Zhou Zhen4,Huang Jingfeng12

Affiliation:

1. Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China

2. Key Laboratory of Agricultural Remote Sensing and Information Systems, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China

3. Department of Agro-meteorology and Geo-informatics, Magbosi Land, Water and Environment Research Centre (MLWERC), Sierra Leone Agricultural Research Institute (SLARI), Freetown, Sierra Leone

4. Agricultural Image Processing Laboratory, Jiangsu Radio Scientific Research Institute Co. Ltd., Wuxi, Jiangsu, China

Funder

National Key Research and Development Plan of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

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3. An Innovative Method for Paddy Yield Prediction Based on DCNN-ELM Approach;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

4. Mapping Paddy Cropland in Guntur District using Machine Learning and Google Earth Engine utilizing Images from Sentinel-1 and Sentinel-2;Engineering, Technology & Applied Science Research;2023-12-05

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