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A New Multiangle Method for Estimating Fractional Biocrust Coverage From Sentinel-2 Data in Arid Areas 期刊论文
发表期刊: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 出版年: 2024, 卷号: 62
作者:  Sun, Hui;  Ma, Xu;  Liu, Ying;  Zhou, Guiyun;  Ding, Jianli;  Lu, Lei;  Wang, Tiejun;  Yang, Qiuli;  Shu, Qingtai;  Zhang, Fei
收藏  |  浏览/下载：23/0  |  提交时间：2024/10/04
Fractional biocrust cover index  linear kernel-driven model  multiangle  radiative transfer  
Mulching with oilseed rape improving soil moisture and fertility and apple yield in orchard in semi-arid region 期刊论文
发表期刊: AGRONOMY JOURNAL. 出版年: 2023, 卷号: 115, 期号: 6, 页码: 3119-3130
作者:  Wang, Chunli;  Cao, Chenhui;  Qiang, Cheng;  Wang, Jianping;  Wang, Zhouli;  Zhang, Zhi;  Chen, Wenjie;  Yang, Jianli
收藏  |  浏览/下载：16/0  |  提交时间：2024/09/29
Stronger Cumulative than Lagged Effects of Drought on Vegetation in Central Asia 期刊论文
发表期刊: FORESTS. 出版年: 2023, 卷号: 14, 期号: 11
作者:  Yang, Miao;  Zou, Jie;  Ding, Jianli;  Zou, Wensong;  Yahefujiang, Heran
收藏  |  浏览/下载：17/0  |  提交时间：2024/09/29
drought  vegetation  gross primary productivity  lagged effect  cumulative effect  
Detection and Analysis of the Variation in the Minimum Ecological Instream Flow Requirement in the Chinese Northwestern Inland Arid Region by Using a New Remote Sensing Method 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2023, 卷号: 15, 期号: 24
作者:  Yang, Shengtian;  Li, Jiekang;  Lou, Hezhen;  Dai, Yunmeng;  Pan, Zihao;  Zhou, Baichi;  Wang, Huaixing;  Li, Hao;  Ding, Jianli;  Zheng, Jianghua
收藏  |  浏览/下载：30/0  |  提交时间：2024/09/29
minimum ecological instream flow requirement  wet-circumferential method  remote sensing hydrological station technique  human-water relationship  arid area  
Soil salinity prediction based on scale-dependent relationships with environmental variables by discrete wavelet transform in the Tarim Basin 期刊论文
发表期刊: CATENA. 出版年: 2021, 卷号: 196
作者:  Wei, Yang;  Ding, Jianli;  Yang, Shengtian;  Wang, Fei;  Wang, Chen
收藏  |  浏览/下载：44/0  |  提交时间：2021/01/07
Scale-dependent relationships  Soil salinity  Discrete wavelet transform  Tarim basin  
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：33/0  |  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：57/0  |  提交时间：2021/01/07
Soil salinity  Electromagnetic induction (EMI)  Digital soil mapping  Random forest  Harmonized World Soil Database  Tarim River Basin  
景电灌区移民对祁连山植被恢复的相对生态价值 期刊论文
发表期刊: 干旱区地理. 出版年: 2020, 卷号: 43, 期号: 1, 页码: 182-189
作者:  赵建林;  康德奎;  彭维恩;  王建礼;  史中兴;  陈天顺;  董志洋;  汪杰;  常兆丰
收藏  |  浏览/下载：65/0  |  提交时间：2020/07/01
Qilian Mountains  Jingdian Irrigation Area  exit land and grazing  return of forest and grass  relative ecological value  
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：15/0  |  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：44/0  |  提交时间：2020/05/22
Soil salinization  Predictive mapping  Environmental covariates  Algorithms  Random forest