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From Cropland To Cropped Field: A Robust Algorithm For National-Scale Mapping By Fusing Time Series Of Sentinel-1 And Sentinel-2, Bingwen Qiu, Duoduo Lin, Chongcheng Chen, Peng Yang, Zhenghong Tang, Zhenong Jin, Zhiyan Ye, Xiao Zhu, Mingjie Duan, Hangyu Huang, Zhiyuan Zhao, Weiming Xu, Zuoqi Chen
From Cropland To Cropped Field: A Robust Algorithm For National-Scale Mapping By Fusing Time Series Of Sentinel-1 And Sentinel-2, Bingwen Qiu, Duoduo Lin, Chongcheng Chen, Peng Yang, Zhenghong Tang, Zhenong Jin, Zhiyan Ye, Xiao Zhu, Mingjie Duan, Hangyu Huang, Zhiyuan Zhao, Weiming Xu, Zuoqi Chen
Architecture Program: Faculty Scholarly and Creative Activity
Detailed and updated maps of actively cropped fields on a national scale are vital for global food security. Unfortunately, this information is not provided in existing land cover datasets, especially lacking in smallholder farmer systems. Mapping national-scale cropped fields remains challenging due to the spectral confusion with abandoned vegetated land, and their high heterogeneity over large areas. This study proposed a large-area mapping framework for automatically identifying actively cropped fields by fusing Vegetation-Soil-Pigment indices and Synthetic-aperture radar (SAR) time-series images (VSPS). Three temporal indicators were proposed and highlighted cropped fields by consistently higher values due to cropping activities. The proposed …