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Songchao Chen
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2020 – today
- 2024
- [j22]Jie Xue, Xianglin Zhang, Yuyang Huang, Songchao Chen
, Lingju Dai, Xueyao Chen, Qiangyi Yu, Su Ye, Zhou Shi
A two-dimensional bare soil separation framework using multi-temporal Sentinel-2 images across China. Int. J. Appl. Earth Obs. Geoinformation 134: 104181 (2024) - [j21]Hiba Chaudhry
Evaluating the Soil Quality Index Using Three Methods to Assess Soil Fertility. Sensors 24(3): 864 (2024) - 2023
- [j20]Yu Wang, Songchao Chen, Yongsheng Hong, Bifeng Hu, Jie Peng, Zhou Shi:
A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China. Comput. Electron. Agric. 212: 108067 (2023) - [j19]Hongfen Teng
Future changes and driving factors of global peak vegetation growth based on CMIP6 simulations. Ecol. Informatics 75: 102031 (2023) - [j18]Xianglin Zhang
Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library. Remote. Sens. 15(2): 465 (2023) - [j17]Meihua Yang
Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping. Remote. Sens. 15(6): 1617 (2023) - [j16]Jianxin Yin
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra. Remote. Sens. 15(8): 2053 (2023) - [j15]Diego Urbina-Salazar
Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France. Remote. Sens. 15(9): 2410 (2023) - [j14]Anne C. Richer-de-Forges
Remote Sensing Data for Digital Soil Mapping in French Research - A Review. Remote. Sens. 15(12): 3070 (2023) - [j13]Xianglin Zhang
Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine Learning in Northeast Plain China. Remote. Sens. 15(20): 5033 (2023) - [j12]Zhan Shi, Jianxin Yin
Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy. Sensors 23(13): 5967 (2023) - 2022
- [j11]Wu Yu, Yongsheng Hong, Songchao Chen
Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance Spectroscopy. Remote. Sens. 14(6): 1303 (2022) - [j10]Xianglin Zhang
Digital Mapping of Soil Organic Carbon with Machine Learning in Dryland of Northeast and North Plain China. Remote. Sens. 14(10): 2504 (2022) - [j9]Yin Zhou, Songchao Chen
Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library. Remote. Sens. 14(21): 5627 (2022) - 2021
- [j8]Rebecca-Jo Vestergaard, Hiteshkumar Bhogilal Vasava, Doug Aspinall, Songchao Chen
Evaluation of Optimized Preprocessing and Modeling Algorithms for Prediction of Soil Properties Using VIS-NIR Spectroscopy. Sensors 21(20): 6745 (2021) - 2020
- [j7]Yue Zhou
Fine-Resolution Mapping of Soil Total Nitrogen across China Based on Weighted Model Averaging. Remote. Sens. 12(1): 85 (2020) - [j6]Hanyi Xu, Dongyun Xu, Songchao Chen
Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion. Remote. Sens. 12(9): 1512 (2020) - [j5]Fang Xia, Bifeng Hu
Improved Mapping of Potentially Toxic Elements in Soil via Integration of Multiple Data Sources and Various Geostatistical Methods. Remote. Sens. 12(22): 3775 (2020)
2010 – 2019
- 2019
- [j4]Thomas Loiseau, Songchao Chen
Satellite data integration for soil clay content modelling at a national scale. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [j3]Meihua Yang
Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra. Sensors 19(2): 263 (2019) - 2018
- [j2]Dongyun Xu, Wanzhu Ma, Songchao Chen
Assessment of important soil properties related to Chinese Soil Taxonomy based on vis-NIR reflectance spectroscopy. Comput. Electron. Agric. 144: 1-8 (2018) - 2015
- [j1]Shuo Li, Wenjun Ji, Songchao Chen
Potential of VIS-NIR-SWIR Spectroscopy from the Chinese Soil Spectral Library for Assessment of Nitrogen Fertilization Rates in the Paddy-Rice Region, China. Remote. Sens. 7(6): 7029-7043 (2015)
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