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Application of the Levenburg-Marquardt back propagation neural network approach for landslide risk assessments 期刊论文
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2019, 卷号: 19, 期号: 3, 页码: 629-653
Authors:  Xiong, Junnan;  Sun, Ming;  Zhang, Hao;  Cheng, Weiming;  Yang, Yinghui;  Sun, Mingyuan;  Cao, Yifan;  Wang, Jiyan
Favorite  |  View/Download:10/0  |  Submit date:2019/05/22
Challenges of Hydrologic Nonstationarity: Mountain Torrent Control in China 期刊论文
JOURNAL OF HYDROLOGIC ENGINEERING, 2019, 卷号: 24, 期号: 3, 页码: 4
Authors:  Sang, Yan-Fang;  Xie, Ping;  Zhang, Yichi;  Cheng, Weiming;  Guo, Liang;  Sun, Dongya
Favorite  |  View/Download:8/0  |  Submit date:2019/05/22
Model Simulation and Prediction of Decadal Mountain Permafrost Distribution Based on Remote Sensing Data in the Qilian Mountains from the 1990s to the 2040s 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 2, 页码: 19
Authors:  Zhao, Shangmin;  Zhang, Shifang;  Cheng, Weiming;  Zhou, Chenghu
Favorite  |  View/Download:22/0  |  Submit date:2019/05/22
mountain permafrost  logistic regression model  model simulation and prediction  mean decadal air temperature data  Qilian Mountains  
Performance of a two-leaf light use efficiency model for mapping gross primary productivity against remotely sensed sun-induced chlorophyll fluorescence data 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 613, 页码: 977-989
Authors:  Zan, M;  Zhou, YL;  Ju, WM;  Zhang, YG;  Zhang, LM;  Liu, YB
Favorite  |  View/Download:45/2  |  Submit date:2018/04/14
Gross primary production  Solar-induced chlorophyll fluorescence  LUE model  Two-leaf light use efficiency  China  
Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China 期刊论文
ZEITSCHRIFT FUR GEOMORPHOLOGIE, 2017, 卷号: 61, 页码: 9-26
Authors:  Zhao, Shangmin;  Cheng, Weiming;  Zhou, Chenghu;  Liu, Haijiang;  Su, Qiaomei;  Zhang, Shifang;  He, Weican;  Wang, Li;  Wu, Wenjiao
Favorite  |  View/Download:13/0  |  Submit date:2019/05/30
vertical error distribution  MLR model  ASTER GDEM V2  ICESat/GLA14  land surface factors  
森林冠层多角度高光谱观测系统的实现与分析 中文期刊论文
2016
Authors:  张乾;  居为民;  杨风亭;  曹林;  冯永康
View  |  Adobe PDF(616Kb)  |  Favorite  |  View/Download:71/20  |  Submit date:2015/12/18
多角度  高光谱  定量遥感  通量研究  
2000—2013年河南省耕地的时空变化分析 中文期刊论文
2016
Authors:  张永民;  程维明
View  |  Adobe PDF(225Kb)  |  Favorite  |  View/Download:22/7  |  Submit date:2017/11/07
河南省  土地利用综合区  省辖市  耕地  时空变化  
A novel soil manganese mechanism drives plant species loss with increased nitrogen deposition in a temperate steppe 期刊论文
ECOLOGY, 2016, 卷号: 97, 期号: 1, 页码: 65-74
Authors:  Tian, QY;  Liu, NN;  Bai, WM;  Li, LH;  Chen, JQ;  Reich, PB;  Yu, Q;  Guo, DL;  Smith, MD;  Knapp, AK;  Cheng, WX;  Lu, P;  Gao, Y;  Yang, A;  Wang, TZ;  Li, X;  Wang, ZW;  Ma, YB;  Han, XG;  Zhang, WH
Favorite  |  View/Download:28/0  |  Submit date:2018/04/14
Artemisia frigida  forbs and grasses  Inner Mongolia  China  manganese mobilization and acquisition  nitrogen deposition  photosynthesis  soil acidification  species richness  Stipa krylovii  temperate steppe  
Differential responses of grasses and forbs led to marked reduction in below-ground productivity in temperate steppe following chronic N deposition 期刊论文
JOURNAL OF ECOLOGY, 2015, 卷号: 103, 期号: 6, 页码: 1570-1579
Authors:  Bai, WM;  Guo, DL;  Tian, QY;  Liu, NN;  Cheng, WX;  Li, LH;  Zhang, WH
Favorite  |  View/Download:28/4  |  Submit date:2018/04/14
below-ground productivity  grasses and forbs  nitrogen deposition  photosynthetic rates  plant-soil (below-ground) interactions  root traits  soil acidification  temperate steppe  
Simulation of permafrost distributions in the Qilian Mountains using a multi-criteria approach 期刊论文
COLD REGIONS SCIENCE AND TECHNOLOGY, 2014, 卷号: 103, 页码: 63-73
Authors:  Zhang, Wenjie(张文杰);  Cheng, Weiming;  Ren, Zhoupeng;  Gao, Yingbo;  Chen, Jin;  Li, Baolin;  Zhou, Chenghu
View  |  Adobe PDF(3432Kb)  |  Favorite  |  View/Download:83/23  |  Submit date:2014/08/27
Alpine Permafrost Simulation  Multi-criteria Approach  Qilian Mountains  Topographic Factors  Meteorological Factors