Potential of VIS-NIR-SWIR Spectroscopy from the Chinese Soil Spectral Library for Assessment of Nitrogen Fertilization Rates in the Paddy-Rice Region, China. - Shuo Li; Wenjun Ji; Songchao Chen; Jie Peng 004; Yin Zhou; Zhou Shi (Remote. Sens., 2015)

Assessment of important soil properties related to Chinese Soil Taxonomy based on vis-NIR reflectance spectroscopy. - Dongyun Xu; Wanzhu Ma; Songchao Chen; Qingsong Jiang; Kang He; Zhou Shi (Comput. Electron. Agric., 2018)

Satellite data integration for soil clay content modelling at a national scale. - Thomas Loiseau; Songchao Chen; Vera L. Mulder; Mercedes Román Dobarco; Anne C. Richer-de-Forges; Sébastien Lehmann; Hocine Bourennane; Nicolas P. A. Saby; Manuel P. Martin; Emmanuelle Vaudour; Cécile Gomez; Philippe Lagacherie; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra. - Meihua Yang; Dongyun Xu; Songchao Chen; Hongyi Li; Zhou Shi (Sensors, 2019)

Improved Mapping of Potentially Toxic Elements in Soil via Integration of Multiple Data Sources and Various Geostatistical Methods. - Fang Xia; Bifeng Hu; Youwei Zhu; Wenjun Ji; Songchao Chen; Dongyun Xu; Zhou Shi (Remote. Sens., 2020)

Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion. - Hanyi Xu; Dongyun Xu; Songchao Chen; Wanzhu Ma; Zhou Shi (Remote. Sens., 2020)

Fine-Resolution Mapping of Soil Total Nitrogen across China Based on Weighted Model Averaging. - Yue Zhou 009; Jie Xue 006; Songchao Chen; Yin Zhou; Zongzheng Liang; Nan Wang 017; Zhou Shi (Remote. Sens., 2020)

Evaluation of Optimized Preprocessing and Modeling Algorithms for Prediction of Soil Properties Using VIS-NIR Spectroscopy. - Rebecca-Jo Vestergaard; Hiteshkumar Bhogilal Vasava; Doug Aspinall; Songchao Chen; Adam W. Gillespie; Viacheslav I. Adamchuk; Asim Biswas (Sensors, 2021)

Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance Spectroscopy. - Wu Yu; Yongsheng Hong; Songchao Chen; Yiyun Chen; Lianqing Zhou (Remote. Sens., 2022)

Digital Mapping of Soil Organic Carbon with Machine Learning in Dryland of Northeast and North Plain China. - Xianglin Zhang; Jie Xue 006; Songchao Chen; Nan Wang 017; Zhou Shi; Yuanfang Huang; Zhiqing Zhuo (Remote. Sens., 2022)

Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library. - Yin Zhou; Songchao Chen; Bifeng Hu; Wenjun Ji; Shuo Li; Yongsheng Hong; Hanyi Xu; Nan Wang 017; Jie Xue 006; Xianglin Zhang; Yi Xiao; Zhou Shi (Remote. Sens., 2022)

Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library. - Xianglin Zhang; Jie Xue 006; Yi Xiao; Zhou Shi; Songchao Chen (Remote. Sens., 2023)

Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping. - Meihua Yang; Songchao Chen; Xi Guo; Zhou Shi; Xiaomin Zhao (Remote. Sens., 2023)

Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra. - Jianxin Yin; Zhan Shi; Baoguo Li; Fujun Sun; Tianyu Miao; Zhou Shi; Songchao Chen; Meihua Yang; Wenjun Ji (Remote. Sens., 2023)

Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France. - Diego Urbina-Salazar; Emmanuelle Vaudour; Anne C. Richer-de-Forges; Songchao Chen; Guillaume Martelet; Nicolas N. Baghdadi; Dominique Arrouays (Remote. Sens., 2023)

Remote Sensing Data for Digital Soil Mapping in French Research - A Review. - Anne C. Richer-de-Forges; Qianqian Chen; Nicolas N. Baghdadi; Songchao Chen; Cécile Gomez; Stéphane Jacquemoud; Guillaume Martelet; Vera L. Mulder; Diego Urbina-Salazar; Emmanuelle Vaudour; Marie Weiss; Jean-Pierre Wigneron; et al. (Remote. Sens., 2023)

Future changes and driving factors of global peak vegetation growth based on CMIP6 simulations. - Hongfen Teng; Songchao Chen; Bifeng Hu; Zhou Shi (Ecol. Informatics, 2023)

Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy. - Zhan Shi; Jianxin Yin; Baoguo Li; Fujun Sun; Tianyu Miao; Yan Cao; Zhou Shi; Songchao Chen; Bifeng Hu; Wenjun Ji (Sensors, 2023)

A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China. - Yu Wang; Songchao Chen; Yongsheng Hong; Bifeng Hu; Jie Peng 004; Zhou Shi (Comput. Electron. Agric., 2023)

Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine Learning in Northeast Plain China. - Xianglin Zhang; Jie Xue 006; Songchao Chen; Nan Wang 017; Tieli Xie; Yi Xiao; Xueyao Chen; Zhou Shi; Yuanfang Huang; Zhiqing Zhuo (Remote. Sens., 2023)

A two-dimensional bare soil separation framework using multi-temporal Sentinel-2 images across China. - Jie Xue 006; Xianglin Zhang; Yuyang Huang; Songchao Chen; Lingju Dai; Xueyao Chen; Qiangyi Yu; Su Ye; Zhou Shi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Evaluating the Soil Quality Index Using Three Methods to Assess Soil Fertility. - Hiba Chaudhry; Hiteshkumar Bhogilal Vasava; Songchao Chen; Daniel D. Saurette; Anshu Beri; Adam W. Gillespie; Asim Biswas (Sensors, 2024)

Sum-Rate Maximization for Partitioned-IRS-Assisted Hybrid NOMA Networks. - Songchao Chen; Fang Liu; Yuanan Liu (WCNC, 2025)

Cross-sensor data reconstruction for optical remote sensing gap-filling with attention-enhanced multi-scale fusion network. - Xi Wang; Songchao Chen; Chang Zhou; Si-Bo Duan; Zhou Shi (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Digital mapping of soil salinity with time-windows features optimization and ensemble learning model. - Shuaishuai Shi; Nan Wang 017; Songchao Chen; Bifeng Hu; Jie Peng 004; Zhou Shi (Ecol. Informatics, 2025)