International Journal of Geo-Information Article Development of a New Phenology Algorithm for Fine Mapping of Cropping Intensity in Complex Planting Areas Using Sentinel-2 and Google Earth Engine Yan Guo 1, Haoming Xia 1,2,3,4,* , Li Pan 1, Xiaoyang Zhao 1, Rumeng Li 1, Xiqing Bian 1, Ruimeng Wang 1 and Chong Yu 1 1 College of Geography and Environmental Science, Henan University, Kaifeng 475004, China;
[email protected] (Y.G.);
[email protected] (L.P.);
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[email protected] (C.Y.) 2 Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China 3 Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Ministry of Education, Kaifeng 475004, China 4 Key Research Institute of Yellow River Civilization and Sustainable Development Collaborative Innovation Center on Yellow River Civilization Provincial Co-Construction, Henan University, Kaifeng 475004, China * Correspondence:
[email protected] Abstract: Cropping intensity is a key indicator for evaluating grain production and intensive use Citation: Guo, Y.; Xia, H.; Pan, L.; of cropland. Timely and accurately monitoring of cropping intensity is of great significance for Zhao, X.; Li, R.; Bian, X.; Wang, R.; Yu, ensuring national food security and improving the level of national land management. In this C. Development of a New Phenology study, we used all Sentinel-2 images on the Google Earth Engine cloud platform, and constructed Algorithm for Fine Mapping of an improved peak point detection method to extract the cropping intensity of a heterogeneous Cropping Intensity in Complex planting area combined with crop phenology.