中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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Quantifying links between aerosol optical depth and rapid urbanisation induced land use changes, Hangzhou, China, 2000-2020
期刊论文
OAI收割
ALL EARTH, 2024, 卷号: 36, 期号: 1, 页码: 1-16
作者:
Yu, Zhifeng
;
Chen, Zheyu
;
Sun, Kun
;
Qi, Bing
;
Wang, Ben
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/01/22
Land use/land cover (LULC)
aerosol optical depth (AOD)
Landsat
MOD04_3K AOD data
Evaluation of six global high-resolution global land cover products over China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 17
作者:
Wang, Yiqi
;
Xu, Yongming
;
Xu, Xichen
;
Jiang, Xingan
;
Mo, Yaping
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/02/05
Land cover products
high-resolution
spatial consistency
accuracy evaluation
China
Land cover
remote sensing
global data bases
Implication of community-level ecophysiological parameterization to modelling ecosystem productivity: a case study across nine contrasting forest sites in eastern China
期刊论文
OAI收割
JOURNAL OF FORESTRY RESEARCH, 2024, 卷号: 35, 期号: 1, 页码: 11
作者:
Fang, Minzhe
;
Cheng, Changjin
;
He, Nianpeng
;
Si, Guoxin
;
Sun, Osbert Jianxin
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/01/08
Biome-BGC
Community traits
Forest Ecosystems
Model parameterization
Mapping of nearshore bathymetry using Gaofen-6 images for the Yellow River Delta-Laizhou Bay, China
期刊论文
OAI收割
ECOLOGICAL INFORMATICS, 2024, 卷号: 80, 页码: 10
作者:
Tan, Kun
;
Sun, Minxuan
;
Sun, Danfeng
;
Liu, Xiaojie
;
Liu, Xiaohuang
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/04/01
Nearshore bathymetry
Turbid waters
Band ratios
CART
RFR
NDTI
GF-6
Catchment land use effect on mercury concentrations in lake sediments: A high-resolution study of Qinghai Lake
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 916, 页码: 170260
作者:
Dai, Lijun
;
Zhang, Bo
;
Liao, Xiaoyong
;
Wang, Lingqing
;
Zhang, Qian
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/04/08
Mercury pollution
Sediment pollution
Catchment land use
Tibetan plateau ecosystem
Biogeochemical cycling
Evaluation of Leaf-To-Canopy Upscaling Approaches for Simulating Canopy Carbonyl Sulfide Uptake and Gross Primary Productivity
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2024, 卷号: 129, 期号: 3, 页码: e2023JG007521
作者:
Chen, Bin
;
Wang, Pengyuan
;
Wang, Shaoqiang
;
Liu, Zhenhai
;
Croft, Holly
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2024/04/08
the big-leaf model
the two-big-leaf model
the two-leaf model
carbonyl sulfide
leaf-to-canopy upscaling
terrestrial biosphere modeling
A spatiotemporal framework for the joint risk assessments of urban flood and urban heat island
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 127, 页码: 103686
作者:
Tang, Xianzhe
;
Huang, Xi
;
Tian, Juwei
;
Jiang, Yuhao
;
Ding, Xue
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/04/08
Urban Flood Heat Island index
Urban Flood Susceptibility
Urban Heat Island Intensity
Random Forest
Spatiotemporal analysis
Reconstructing forest cover changes for the middle and lower reaches of the Yellow River over the past millennium
期刊论文
OAI收割
REGIONAL ENVIRONMENTAL CHANGE, 2024, 卷号: 24, 期号: 1, 页码: 14
作者:
Yang, Fan
;
He, Fanneng
;
Wang, Yafei
;
Zhou, Shengnan
;
Dong, Guanpeng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/01
Land use/cover change
Gridded allocation
Deforestation
Forest cover
Historical human activity
Minute-cadence obser v ations of the LAMOST Fields with the TMTS–V. Machine learning classification of TMTS catalogues of periodic variable stars
期刊论文
OAI收割
Monthly Notices of the Royal Astronomical Society, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015
作者:
Guo, Fangzhou
;
Lin, Jie
;
Wang, Xiaofeng
;
Chen, Xiaodian
;
Li, Tanda
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/29
surveys
binaries: eclipsing
stars: oscillations (including pulsations)
stars: variables: Scuti
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:13/0
  |  
提交时间:2024/04/08
Grain for Green Project
land degradation
Loess Plateau
NDVI
random forest