Developing an integrated indicator for monitoring maize growth condition using remotely sensed vegetation temperature condition index and leaf area index. - Lei Wang 210; Pengxin Wang; Li Li 059; Lan Xun; Qingling Kong; Shunlin Liang (Comput. Electron. Agric., 2018)

Crop Area Identification Based on Time Series EVI2 and Sparse Representation Approach: A Case Study in Shandong Province, China. - Lan Xun; Jiahua Zhang 001; Dan Cao; Sha Zhang 001; Fengmei Yao (IEEE Access, 2019)

Developing a Method to Estimate Maize Area in North and Northeast of China Combining Crop Phenology Information and Time-Series MODIS EVI. - Sha Zhang 001; Jiahua Zhang 001; Yun Bai 005; Lan Xun; Jingwen Wang 002; Da Zhang 005; Shanshan Yang; Jinguo Yuan (IEEE Access, 2019)

Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018. - Dan Cao; Jiahua Zhang 001; Hao Yan; Lan Xun; Shanshan Yang; Yun Bai 005; Sha Zhang 001; Fengmei Yao; Wenbin Zhou (IEEE Access, 2020)

Mapping cotton cultivated area combining remote sensing with a fused representation-based classification algorithm. - Lan Xun; Jiahua Zhang 001; Dan Cao; Jingwen Wang 002; Sha Zhang 001; Fengmei Yao (Comput. Electron. Agric., 2021)

Superpixel-Based Regional-Scale Grassland Community Classification Using Genetic Programming with Sentinel-1 SAR and Sentinel-2 Multispectral Images. - Zhenjiang Wu; Jiahua Zhang 001; Fan Deng 006; Sha Zhang 001; Da Zhang 005; Lan Xun; Mengfei Ji; Qian Feng (Remote. Sens., 2021)

Fusion of GF and MODIS Data for Regional-Scale Grassland Community Classification with EVI2 Time-Series and Phenological Features. - Zhenjiang Wu; Jiahua Zhang 001; Fan Deng 006; Sha Zhang 001; Da Zhang 005; Lan Xun; Tehseen Javed; Guizhen Liu; Dan Liu; Mengfei Ji (Remote. Sens., 2021)

AMFAN: Adaptive Multiscale Feature Attention Network for Hyperspectral Image Classification. - Shichao Zhang 002; Jiahua Zhang 001; Lan Xun; Jingwen Wang 002; Da Zhang 005; Zhenjiang Wu (IEEE Geosci. Remote. Sens. Lett., 2022)

Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region. - Xue Wang; Jiahua Zhang 001; Lan Xun; Jingwen Wang 002; Zhenjiang Wu; Malak Henchiri; Shichao Zhang 002; Sha Zhang 001; Yun Bai 005; Shanshan Yang; Shuaishuai Li; Xiang Yu (Remote. Sens., 2022)