Jie Peng
Affiliations:- Tarim University, Alar, China
According to our database1,
Jie Peng
authored at least 14 papers
between 2015 and 2025.
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Bibliography
2025
Digital mapping of soil salinity with time-windows features optimization and ensemble learning model.
Ecol. Informatics, 2025
2024
Estimation of Soil Salinity by Combining Spectral and Texture Information from UAV Multispectral Images in the Tarim River Basin, China.
Remote. Sens., October, 2024
2023
A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China.
Comput. Electron. Agric., September, 2023
Characterizing Soil Profile Salinization in Cotton Fields Using Landsat 8 Time-Series Data in Southern Xinjiang, China.
Sensors, August, 2023
2022
Estimation of Soil Organic Carbon Using Vis-NIR Spectral Data and Spectral Feature Bands Selection in Southern Xinjiang, China.
Sensors, 2022
Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China.
Remote. Sens., 2022
Mapping the Levels of Soil Salination and Alkalization by Integrating Machining Learning Methods and Soil-Forming Factors.
Remote. Sens., 2022
Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China.
Remote. Sens., 2022
A New Framework for Reconstructing Time Series DMSP-OLS Nighttime Light Data Using the Improved Stepwise Calibration (ISC) Method.
Remote. Sens., 2022
2021
Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades.
Remote. Sens., 2021
2020
Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China.
Remote. Sens., 2020
Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions.
Remote. Sens., 2020
2019
Quantitative Estimation of Soil Salinity Using UAV-Borne Hyperspectral and Satellite Multispectral Images.
Remote. Sens., 2019
2015
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., 2015