Quantitative Assessment of Desertification Using Landsat Data on a Regional Scale - A Case Study in the Ordos Plateau, China. - Duanyang Xu; Xiangwu Kang; Dongsheng Qiu; Dafang Zhuang; Jianjun Pan (Sensors, 2009)

Mapping Winter Wheat with Multi-Temporal SAR and Optical Images in an Urban Agricultural Region. - Tao Zhou 006; Jianjun Pan; Peiyu Zhang; Shanbao Wei; Tao Han (Sensors, 2017)

Exploring the Impact of Seasonality on Urban Land-Cover Mapping Using Multi-Season Sentinel-1A and GF-1 WFV Images in a Subtropical Monsoon-Climate Region. - Tao Zhou 006; Meifang Zhao; Chuanliang Sun; Jianjun Pan (ISPRS Int. J. Geo Inf., 2018)

Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground Biomass in Arid and Semi-Arid Regions of China. - Luodan Cao; Jianjun Pan; Ruijuan Li; Jialin Li; Zhaofu Li (Remote. Sens., 2018)

Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A, Landsat-8 OLI, and Hyperion Images for Urban Land-Cover Classification. - Tao Zhou 006; Zhaofu Li; Jianjun Pan (Sensors, 2018)

Spatial-Temporal Evolution and Regional Differentiation Features of Urbanization in China from 2003 to 2013. - Peiyu Zhang; Jianjun Pan; Longtao Xie; Tao Zhou 006; Haoran Bai; Yanxiang Zhu (ISPRS Int. J. Geo Inf., 2019)

Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region. - Chuanliang Sun; Yan Bian; Tao Zhou 006; Jianjun Pan (Sensors, 2019)

Mapping Winter Wheat with Combinations of Temporally Aggregated Sentinel-2 and Landsat-8 Data in Shandong Province, China. - Feng Xu; Zhaofu Li; Shuyu Zhang; Naitao Huang; Zongyao Quan; Wenmin Zhang; Xiaojun Liu 003; Xiaosan Jiang; Jianjun Pan; Alexander V. Prishchepov (Remote. Sens., 2020)

Two-Stepwise Hierarchical Adaptive Threshold Method for Automatic Rapeseed Mapping over Jiangsu Using Harmonized Landsat/Sentinel-2. - Shaomei Chen; Zhaofu Li; Tingli Ji; Haiyan Zhao; Xiaosan Jiang; Xiang Gao; Jianjun Pan; Wenmin Zhang (Remote. Sens., 2022)

Landscape Classification System Based on RKM Clustering for Soil Survey UAV Images-Case Study of the Small Hilly Areas in Jurong City. - Zihan Fang; Wenhao Lu; Fubin Zhu; Changda Zhu; Zhaofu Li; Jianjun Pan (Sensors, 2022)

Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging. - Changda Zhu; Yuchen Wei; Fubin Zhu; Wenhao Lu; Zihan Fang; Zhaofu Li; Jianjun Pan (Sensors, 2022)

National-scale spatial prediction of soil organic carbon and total nitrogen using long-term optical and microwave satellite observations in Google Earth Engine. - Tao Zhou 006; Wenhao Lv; Yajun Geng; Shancai Xiao; Jie Chen; Xiangrui Xu 002; Jianjun Pan; Bingcheng Si; Angela Lausch (Comput. Electron. Agric., 2023)

Constructing Soil-Landscape Units Based on Slope Position and Land Use to Improve Soil Prediction Accuracy. - Changda Zhu; Fubin Zhu; Cheng Li; Wenhao Lu; Zihan Fang; Zhaofu Li; Jianjun Pan (Remote. Sens., 2024)

Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL). - Fubin Zhu; Changda Zhu; Wenhao Lu; Zihan Fang; Zhaofu Li; Jianjun Pan (Remote. Sens., 2024)

Extracting Typical Samples Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map. - Changda Zhu; Fubin Zhu; Cheng Li; Yunxin Yan; Wenhao Lu; Zihan Fang; Zhaofu Li; Jianjun Pan (Remote. Sens., 2024)