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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地理科学与资源研究... [99]
成都山地灾害与环境... [32]
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期刊论文 [158]
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Research on the Evolution of Human-Land Patterns and Influencing Factors in the Mountainous Regions of Southwest China
期刊论文
OAI收割
LAND, 2026, 卷号: 15, 期号: 2, 页码: 269
作者:
Ni, Qingsong
;
Chen, Zongfeng
;
Wang, Chenlin
;
Liu, Xueqi
  |  
收藏
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浏览/下载:1/0
  |  
提交时间:2026/04/16
mountainous
Southwest China's mountainous areas
human-land relationship
decoupling mode
terrain constraint
driving mechanism
Flexible barrier-landslide interaction: a coupled MPM-DEM framework and real case study
期刊论文
OAI收割
COMPUTERS AND GEOTECHNICS, 2026, 卷号: 190, 页码: 20
作者:
Chen, Penglin
;
Zhao, Shuxi
;
Li, Xinpo
;
Li, Jianguo
;
Zhu, Lei
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/11/21
MPM-DEM
Efficient simulation
Flexible barrier
Real-scale
Complex terrain
Ganluo landslide
Environmental variables controlling soil thickness across elevation zones in the eastern Himalayas
期刊论文
OAI收割
CATENA, 2025, 卷号: 261, 页码: 14
作者:
Zhang, Xin
;
Fan, Jianrong
;
Chen, Hongjin
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/11/21
Right-censored data
Digital soil mapping
SHAP values
Sentinel-2
Complex terrain
Himalayas
Filtering and gap-filling strategies in eddy covariance CO2 flux series of mountainous forests: Comparison based on measurements from Qingyuan-Ker Towers
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2025, 卷号: N/A
作者:
Li, Tongtong
;
Gao, Tian
;
Teng, Dexiong
;
Chen, Zhi
;
Yang, Bai
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/01/21
Complex terrain
Forest ecosystem
Eddy covariance
Friction velocity threshold
Gap-filling
A physically-refined regional climate model for the Tibetan Plateau
期刊论文
OAI收割
SCIENCE BULLETIN, 2025, 卷号: 70, 期号: 23, 页码: 4070-4079
作者:
Yang, Kun
;
Zhou, Xu
;
Ma, Xiaogang
;
Chen, Deliang
;
Chen, Fahu
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/01/21
Tibetan Plateau Climate System Model (TPCSM)
Terrain effects
Land-atmosphere interactions
Snow processes
Lake processes
Small-scale clouds
Remote sensing applications in geomorphology: Innovations, insights and perspectives
期刊论文
OAI收割
EARTH SURFACE PROCESSES AND LANDFORMS, 2025, 卷号: 50, 期号: 14, 页码: e70190
作者:
Xiong, Li-yang
;
Qin, Cheng-zhi
  |  
收藏
  |  
浏览/下载:0/0
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提交时间:2026/01/21
AI application
digital elevation model
geomorphology
remote sensing
terrain analysis
First demonstration of spaceborne L-band bistatic single-polarization single-baseline SAR interferometry on the retrieval of forest vertical structural information
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2025, 卷号: 329, 页码: 114916
作者:
Lei, Yang
;
Li, Weiliang
;
Yu, Yanghai
;
Liu, Xiaotong
;
Xu, Jie
  |  
收藏
  |  
浏览/下载:0/0
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提交时间:2025/09/22
Spaceborne L-band bistatic InSAR
Lutan-1
Lidar
GEDI
ICESat-2/ATLAS
Radar-lidar fusion
Tropical forest
Forest height
Forest vertical structural information
Vertical profile
Underlying topography
Digital terrain model (DTM)
Hainan tropical rainforest national park
What Factors Drove the Global Cropland Expansion Into Highlands?
期刊论文
OAI收割
EARTHS FUTURE, 2025, 卷号: 13, 期号: 7, 页码: e2024EF005337
作者:
Chen, Wanxu
;
Yuan, Yanghaoyue
;
Gu, Tianci
;
Ma, Haitao
;
Zeng, Jie
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/08/21
cropland elevation
highlands
spectrum
terrain gradient analysis
spatial regression models
global
Deep Learning With ERA5 Variables Accurately Simulates Near-Surface Wind Speed Variations Across a Complex Terrain Region
期刊论文
OAI收割
GEOPHYSICAL RESEARCH LETTERS, 2025, 卷号: 52, 期号: 12, 页码: e2025GL116108
作者:
Long, Zhiyi
;
Zha, Jinlin
;
Zhang, Hao
;
Chuan, Ting
;
Lu, Wenxi
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2025/07/18
wind speed
deep learning
complex terrain region
Tibetan Plateau
transformer
convolutional neural networks
A refined method for the simulation of catchment rainfall-runoff based on satellite-precipitation downscaling
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2025, 卷号: 653, 页码: 15
作者:
Jian, Jihao
;
He, Siming
;
Liu, Wei
;
Liu, Shuang
;
Guo, Liping
  |  
收藏
  |  
浏览/下载:117/0
  |  
提交时间:2025/03/24
Deep Learning
Precipitation Downscaling Model
Rainfall-induced Runoff Simulation
Terrain-based Attention Mechanism