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)

Temporal-Spatial Distribution of Chlorophyll-a and Impacts of Environmental Factors in the Bohai Sea and Yellow Sea. - Na Zhao; Guanlan Zhang; Sha Zhang 001; Yun Bai 005; Shahazad Ali; Jiahua Zhang 001 (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)

Spatio-Temporal Patterns of Drought and Impact on Vegetation in North and West Africa Based on Multi-Satellite Data. - Malak Henchiri; Qi Liu 037; Bouajila Essifi; Tehseen Javed; Sha Zhang 001; Yun Bai 005; Jiahua Zhang 001 (Remote. Sens., 2020)

Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale. - Yun Bai 005; Sha Zhang 001; Jiahua Zhang 001; Jingwen Wang 002; Shanshan Yang; Vincenzo Magliulo; Luca Vitale; Yanchuang Zhao (Int. J. Appl. Earth Obs. Geoinformation, 2021)

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)

Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño-Southern Oscillation (ENSO). - Malak Henchiri; Tertsea Igbawua; Tehseen Javed; Yun Bai 005; Sha Zhang 001; Bouajila Essifi; Fanan Ujoh; Jiahua Zhang 001 (Remote. Sens., 2021)

Assessment and Comparison of Six Machine Learning Models in Estimating Evapotranspiration over Croplands Using Remote Sensing and Meteorological Factors. - Yan Liu; Sha Zhang 001; Jiahua Zhang 001; Lili Tang; Yun Bai 005 (Remote. Sens., 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)

Remote Sensing-Based Quantification of the Summer Maize Yield Gap Induced by Suboptimum Sowing Dates over North China Plain. - Sha Zhang 001; Yun Bai 005; Jiahua Zhang 001 (Remote. Sens., 2021)

Machine learning and remote sensing-based modeling of the optimal stomatal behavior of crops. - Haojie Li; Jiahua Zhang 001; Sha Zhang 001; Yun Bai 005 (Comput. Electron. Agric., 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)

Improving the Gross Primary Productivity Estimate by Simulating the Maximum Carboxylation Rate of the Crop Using Machine Learning Algorithms. - Dekun Yuan; Sha Zhang 001; Haojie Li; Jiahua Zhang 001; Shanshan Yang; Yun Bai 005 (IEEE Trans. Geosci. Remote. Sens., 2022)

Drought Monitoring and Performance Evaluation Based on Machine Learning Fusion of Multi-Source Remote Sensing Drought Factors. - Yangyang Zhao; Jiahua Zhang 001; Yun Bai 005; Sha Zhang 001; Shanshan Yang; Malak Henchiri; Ayalkibet Mekonnen Seka; Lkhagvadorj Nanzad (Remote. Sens., 2022)

Improving the Estimation of Gross Primary Productivity across Global Biomes by Modeling Light Use Efficiency through Machine Learning. - Daqian Kong; Dekun Yuan; Haojie Li; Jiahua Zhang 001; Shanshan Yang; Yue Li; Yun Bai 005; Sha Zhang 001 (Remote. Sens., 2023)

Study on the Spatial and Temporal Distribution of Urban Vegetation Phenology by Local Climate Zone and Urban-Rural Gradient Approach. - Shan Li; Qiang Li; Jiahua Zhang 001; Shichao Zhang 002; Xue Wang; Shanshan Yang; Sha Zhang 001 (Remote. Sens., 2023)

Aboveground Biomass Dynamics of a Coastal Wetland Ecosystem Driven by Land Use/Land Cover Transformation. - Wenli Wu; Jiahua Zhang 001; Yun Bai 005; Sha Zhang 001; Shanshan Yang; Malak Henchiri; Ayalkibet Mekonnen Seka; Lkhagvadorj Nanzad (Remote. Sens., 2023)

Ecosystem Evapotranspiration Partitioning and Its Spatial-Temporal Variation Based on Eddy Covariance Observation and Machine Learning Method. - Linjun Lu; Danwen Zhang; Jie Zhang; Jiahua Zhang 001; Sha Zhang 001; Yun Bai 005; Shanshan Yang (Remote. Sens., 2023)

Quantitative Assessment of Factors Influencing the Spatiotemporal Variation in Carbon Dioxide Fluxes Simulated by Multi-Source Remote Sensing Data in Tropical Vegetation. - Ruize Xu; Jiahua Zhang 001; Jingwen Wang 002; Fengmei Yao; Sha Zhang 001 (Remote. Sens., 2023)

Mapping the Planting Area of Winter Wheat at 10-m Resolution Using Sentinel-2 Data and Multimodel Fusion Method. - Yanning Yu; Sha Zhang 001; Yun Bai 005; Youtao Sun; Bingyang Ge (IEEE Access, 2024)

Global-scale improvement of the estimation of terrestrial gross primary productivity by integrating optical and microwave remote sensing with meteorological data. - Shuyu Zhang; Shanshan Yang; Jiaojiao Huang; Danni Yang; Sha Zhang 001; Jiahua Zhang 001; Yun Bai 005 (Ecol. Informatics, 2024)

Spatial Downscaling of ESA CCI Soil Moisture Data Based on Deep Learning with an Attention Mechanism. - Danwen Zhang; Linjun Lu; Xuan Li; Jiahua Zhang 001; Sha Zhang 001; Shanshan Yang (Remote. Sens., 2024)

Prediction of Large-Scale Regional Evapotranspiration Based on Multi-Scale Feature Extraction and Multi-Headed Self-Attention. - Xin Zheng 012; Sha Zhang 001; Jiahua Zhang 001; Shanshan Yang; Jiaojiao Huang; Xianye Meng; Yun Bai 005 (Remote. Sens., 2024)

Estimation of radiation scalar using deep learning for improved gross primary productivity estimation based on a light-use efficiency model. - Yukang Sun; Dekun Yuan; Xin Zheng 012; Shanshan Yang; Sha Zhang 001; Jiahua Zhang 001; Yun Bai 005 (Int. J. Digit. Earth, 2024)