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Monitoring Oasis Cotton Fields Expansion in Arid Zones Using the Google Earth Engine: A Case Study in the Ogan-Kucha River Oasis, Xinjiang, China 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2022, 卷号: 14, 期号: 1
作者:  Han, Lijing;  Ding, Jianli;  Wang, Jinjie;  Zhang, Junyong;  Xie, Boqiang;  Hao, Jianping
收藏  |  浏览/下载：36/0  |  提交时间：2022/03/17
Google Earth Engine  cotton fields  mulch drip irrigation  groundwater level decline  oasis agriculture in arid zones  
Digital Mapping of Soil Organic Carbon Using Sentinel Series Data: A Case Study of the Ebinur Lake Watershed in Xinjiang 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2021, 卷号: 13, 期号: 4
作者:  Li, Xiaohang;  Ding, Jianli;  Liu, Jie;  Ge, Xiangyu;  Zhang, Junyong
收藏  |  浏览/下载：28/0  |  提交时间：2021/07/30
machine learning  Sentinel-1A  Sentinel-2A  Sentinel-3A  soil organic carbon  digital soil mapping  
Comparisons of random forest and stochastic gradient treeboost algorithms for mapping soil electrical conductivity with multiple subsets using Landsat OLI and DEM/GIS-based data at a type oasis in Xinjiang, China 期刊论文
发表期刊: EUROPEAN JOURNAL OF REMOTE SENSING. 出版年: 2021, 卷号: 54, 期号: 1, 页码: 158-181
作者:  Wei, Yang;  Ding, Jianli;  Yang, Shengtian;  Yang, Xiaodong;  Wang, Fei
收藏  |  浏览/下载：12/0  |  提交时间：2021/07/30
Soil salinity  machine learning  arid regions  Landsat OLI  spatial heterogeneity  
Characterizing soil salinity at multiple depth using electromagnetic induction and remote sensing data with random forests: A case study in Tarim River Basin of southern Xinjiang, China 期刊论文
发表期刊: SCIENCE OF THE TOTAL ENVIRONMENT. 出版年: 2021, 卷号: 754
作者:  Wang, Fei;  Yang, Shengtian;  Wei, Yang;  Shi, Qian;  Ding, Jianli
收藏  |  浏览/下载：26/0  |  提交时间：2021/01/07
Soil salinity  Electromagnetic induction (EMI)  Digital soil mapping  Random forest  Harmonized World Soil Database  Tarim River Basin  
Soil salinization monitoring in the Werigan-Kuqa Oasis, China, based on a Three-Dimensional Feature Space Model with Machine Learning Algorithm. 期刊论文
发表期刊: REMOTE SENSING LETTERS. 出版年: 2021, 卷号: 12, 期号: 3, 页码: 269-277
作者:  Yao, Yuan;  Ding, Jianli;  Wang, Shuang
收藏  |  浏览/下载：23/0  |  提交时间：2021/03/08
Bivariate empirical mode decomposition of the spatial variation in the soil organic matter content: A case study from NW China 期刊论文
发表期刊: CATENA. 出版年: 2021, 卷号: 206
作者:  Zhang, Zipeng;  Ding, Jianli;  Zhu, Chuanmei;  Chen, Xiangyue;  Wang, Jingzhe;  Han, Lijing;  Ma, Xu;  Xu, Dong
收藏  |  浏览/下载：2/0  |  提交时间：2021/11/19
Mountain-Oasis-Desert System  Digital soil mapping  Multi-scale analysis  Fast Fourier transform  Redundancy analysis  
Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2020, 卷号: 12, 期号: 16
作者:  Ding, Jianli;  Yang, Shengtian;  Shi, Qian;  Wei, Yang;  Wang, Fei
收藏  |  浏览/下载：1/0  |  提交时间：2021/01/07
apparent soil electrical conductivity  random forest  Tarim river  digital soil mapping  oasis  
Multi-algorithm comparison for predicting soil salinity 期刊论文
发表期刊: GEODERMA. 出版年: 2020, 卷号: 365
作者:  Wang, Fei;  Shi, Zhou;  Biswas, Asim;  Yang, Shengtian;  Ding, Jianli
收藏  |  浏览/下载：22/0  |  提交时间：2020/05/22
Soil salinization  Predictive mapping  Environmental covariates  Algorithms  Random forest  
Updated information on soil salinity in a typical oasis agroecosystem and desert-oasis ecotone: Case study conducted along the Tarim River, China 期刊论文
发表期刊: SCIENCE OF THE TOTAL ENVIRONMENT. 出版年: 2020, 卷号: 716
作者:  Wei, Yang;  Shi, Zhou;  Biswas, Asim;  Yang, Shengtian;  Ding, Jianli;  Wang, Fei
收藏  |  浏览/下载：2/0  |  提交时间：2020/05/22
Soil salinity  Machine learning  Digital soil mapping  Tarim Basin  Harmonized world Soil Database  
Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring 期刊论文
发表期刊: PEERJ. 出版年: 2019, 卷号: 7
作者:  Ge, Xiangyu;  Wang, Jingzhe;  Ding, Jianli;  Cao, Xiaoyi;  Zhang, Zipeng;  Liu, Jie;  Li, Xiaohang
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/29
UAV  Precision farming  Hyperspectral imagery  Machine learning