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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地理科学与资源研... [163]
生态环境研究中心 [41]
成都山地灾害与环境... [32]
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Assessment of land degradation risks in the Loess Plateau
期刊论文
OAI收割
LAND DEGRADATION & DEVELOPMENT, 2024, 卷号: N/A
作者:
Yu, Ziyue
;
Deng, Xiangzheng
;
Fu, Ping
;
Grebby, Stephen
;
Mangi, Eugenio
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/04/08
Grain for Green Project
land degradation
Loess Plateau
NDVI
random forest
Can normalized difference vegetation index and climate data be used to estimate soil carbon, nitrogen, and phosphorus and their ratios in the Xizang grasslands?
期刊论文
OAI收割
FRONTIERS IN EARTH SCIENCE, 2024, 卷号: 11, 页码: 1340020
作者:
Wang, Shaohua
;
Qi, Huxiao
;
Li, Tianyu
;
Qin, Yong
;
Fu, Gang
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/03/11
big data mining
random forest
global change
Tibetan plateau
alpine region
Spatiotemporal Characteristics of Land Cover Change in the Yellow River Basin over the Past Millennium
期刊论文
OAI收割
LAND, 2024, 卷号: 13, 期号: 2, 页码: 260
作者:
Wang, Yafei
;
Yang, Fan
;
He, Fanneng
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/04/08
land use and land cover change (LUCC)
spatiotemporal analysis
past millennium
the Yellow River Basin
Trade-offs and synergies among ecosystem services in Inland River Basins under the influence of ecological water transfer project: A case study on the Tarim River basin
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 908, 页码: 15
作者:
Qian, Kaixuan
;
Ma, Xiaofei
;
Yan, Wei
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/01/02
Ecosystem services
Ecological water transfer project
Trade-offs
Synergy
Inland River basins
Trade-offs and synergies between ecosystem services on the Tibetan Plateau
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 14
作者:
Yuan, Zhengrong
;
Liang, Yuling
;
Zhao, Hui
;
Wei, Da
;
Wang, Xiaodan
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/03/25
Tibetan Plateau
Ecosystem services
Trade-offs and synergies
Climate change
Human activity
Identifying driving factors of ecosystem service trade-offs in mountainous region of southwestern China across geomorphic and climatic types
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2024, 卷号: 158, 页码: 111520
作者:
Dai, Erfu
;
Wang, Yahui
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/03/11
Ecosystem service trade-offs
Spatial heterogeneity
Driving factor
Hengduan Mountain region
Geographical detector method
Monitoring vegetation dynamics (2010-2020) in Shengnongjia Forestry District with cloud-removed MODIS NDVI series by a spatio-temporal reconstruction method
期刊论文
OAI收割
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2023, 卷号: 26, 期号: 3, 页码: 527-543
作者:
Li, Shuang
;
Xu, Liang
;
Chen, Jiajia
;
Jiang, Yazhen
;
Sun, Shuying
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/10/09
NDVI time series
Reconstruction
Spatio-temporal
Shengnongjia forestry district
Vegetation dynamics
The Impact of Anthropogenic Activities and Natural Factors on the Grassland over the Agro-Pastoral Ecotone of Inner Mongolia
期刊论文
OAI收割
LAND, 2023, 卷号: 12, 期号: 11, 页码: 2009
作者:
Lyu, Feinan
;
Pan, Ying
;
Yu, Linjun
;
Wang, Xiang
;
Yu, Zhenrong
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/01/04
grassland dynamics
spatial-temporal changes
agro-pastoral ecotone
human activities
natural factors
ecological restoration
Multi-scale Feature Fusion and Transformer Network for urban green space segmentation from high-resolution remote sensing images
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 124, 页码: 103514
作者:
Cheng, Yong
;
Wang, Wei
;
Ren, Zhoupeng
;
Zhao, Yingfen
;
Liao, Yilan
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/12/04
Urban green space
Deep learning
Multi-scale feature fusion
Vegetation feature
High-resolution remote sensing images
Distribution of Heavy Metals in Water and Bottom Sediments in the Basin of Lake Gusinoe (Russia): Ecological Risk Assessment
期刊论文
OAI收割
WATER, 2023, 卷号: 15, 期号: 19, 页码: 3385
作者:
Bazarzhapov, Tcogto Zh.
;
Shiretorova, Valentina G.
;
Radnaeva, Larisa D.
;
Nikitina, Elena P.
;
Bazarsadueva, Selmeg V.
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2023/11/06
Lake Gusinoe basin
water quality
pollution
heavy metals
bottom sediments
ecological risk assessment