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科研机构
地理科学与资源研究... [15]
内容类型
期刊论文 [15]
发表日期
2020 [15]
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发表日期:2020
专题:地理科学与资源研究所
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Estimation of the Grassland Aboveground Biomass of the Inner Mongolia Plateau Using the Simulated Spectra of Sentinel-2 Images
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 22
作者:
Pang, Haiyang
;
Zhang, Aiwu
;
Kang, Xiaoyan
;
He, Nianpeng
;
Dong, Gang
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2021/03/15
aboveground biomass
multispectrum
hyperspectral
Sentinel-2
the simulated spectrum
estimation
Spatial Distribution of China's Industrial Output Values under Global Warming Scenarios RCP4.5 and RCP8.5
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 12, 页码: 19
作者:
Xue, Qian
;
Song, Wei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/03/15
climate change
industrial output value
RCP4
5 and RCP8
5
machine learning
random forest algorithm
China
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak
期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 页码: 18
作者:
Zhang, Wen-bin
;
Ge, Yong
;
Liu, Mengxiao
;
Atkinson, Peter M.
;
Wang, Jinfeng
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/03/16
COVID-19
Resuming work
Socio-economic activities
Heterogeneity
Beijing
Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China
期刊论文
WATER, 2020, 卷号: 12, 期号: 11, 页码: 22
作者:
Wang, Qiang
;
Xia, Jun
;
Zhang, Xiang
;
She, Dunxian
;
Liu, Jie
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/03/16
CMADS
SWAT model
precipitation
temperature
Ganjiang River Basin
Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine
期刊论文
GISCIENCE & REMOTE SENSING, 2020, 页码: 20
作者:
Li, Kewei
;
Xu, Erqi
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/03/16
Cropland
data fusion
Google Earth Engine
belt and road region
Multi-scenario simulation of desertification in North China for 2030
期刊论文
LAND DEGRADATION & DEVELOPMENT, 2020, 页码: 15
作者:
Xu, Duanyang
;
Zhang, Xiaoyu
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/03/16
2030
desertification
model
North China
system dynamics
Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh
期刊论文
FORESTS, 2020, 卷号: 11, 期号: 9, 页码: 35
作者:
Hasan, Mohammad Emran
;
Nath, Biswajit
;
Sarker, A. H. M. Raihan
;
Wang, Zhihua
;
Zhang, Li
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/16
land cover
forest cover change
spatial forest health quality
forest degradation
multi-temporal Landsat satellite image
Markov-cellular automata model
Sundarban Reserve Forest
Bangladesh
Quantifying livestock vulnerability to snow disasters in the Tibetan Plateau: Comparing different modeling techniques for prediction
期刊论文
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 卷号: 48, 页码: 10
作者:
Ye, Tao
;
Liu, Weihang
;
Mu, Qingyang
;
Zong, Shuo
;
Li, Yijia
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/03/18
Livestock snow disaster
Vulnerability
Generalized additive models
Random forest
Boosted regression trees
Spatio-Temporal Coordination and Conflict of Production-Living-Ecology Land Functions in the Beijing-Tianjin-Hebei Region, China
期刊论文
LAND, 2020, 卷号: 9, 期号: 5, 页码: 22
作者:
Yu, Zhuxiao
;
Xu, Erqi
;
Zhang, Hongqi
;
Shang, Erping
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/07/09
production-living-ecology
land use multifunctionality
spatio-temporal patterns
coupling coordination and conflict
entropy weight
triangle model
Fine-Scale Coastal Storm Surge Disaster Vulnerability and Risk Assessment Model: A Case Study of Laizhou Bay, China
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 8, 页码: 22
作者:
Liu, Yueming
;
Lu, Chen
;
Yang, Xiaomei
;
Wang, Zhihua
;
Liu, Bin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/03/23
storm surge
vulnerability
risk assessment
land-use
Laizhou Bay
coastal areas
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