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
机构
地理科学与资源研究... [71]
遥感与数字地球研究... [15]
成都山地灾害与环境研... [4]
新疆生态与地理研究所 [2]
青藏高原研究所 [1]
长春光学精密机械与物... [1]
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OAI收割 [96]
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SCI/SSCI论... [42]
期刊论文 [40]
会议论文 [14]
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2025 [1]
2024 [4]
2023 [3]
2022 [5]
2020 [3]
2019 [6]
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Remote Sen... [2]
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Effects of machine learning models and spatial resolution on land cover classification accuracy in Dali County, Shaanxi, China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2025, 卷号: 18, 期号: 1, 页码: 245-259
作者:
Shi, Yu
;
Jin, Ning
;
Wu, Bingyan
;
Wang, Zekun
;
Wang, Shiwen
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2025/04/21
satellite data
different spatial resolutions
machine learning
land use
land cover
random forest
uncertainty
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:77/0
  |  
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:72/0
  |  
提交时间:2024/02/05
Land cover products
high-resolution
spatial consistency
accuracy evaluation
China
Land cover
remote sensing
global data bases
A multi-source data fusion method for land cover production: a case study of the East European Plain
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 18
作者:
Li, Kai
;
Wang, Juanle
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2024/05/06
Land cover
East European Plain
multi-source data fusion
deep learning
Assessment of fine-resolution land cover mapping products in the Changbai Mountain Range, China
期刊论文
OAI收割
ALL EARTH, 2024, 卷号: 36, 期号: 1, 页码: 1-18
作者:
Zhao, Longxue
;
Liu, Xuanrui
;
Xue, Jue
;
Guo, Xiaoyi
;
Zhang, Hongyan
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/12/30
Land cover data products
consistency
accuracy
geomorphic types
landscape patterns
Daily Soil Moisture Retrieval by Fusing CYGNSS and Multi-Source Auxiliary Data Using Machine Learning Methods
期刊论文
OAI收割
SENSORS, 2023, 卷号: 23, 期号: 22, 页码: 12
作者:
Yang, Ting
;
Wang, Jundong
;
Sun, Zhigang
;
Li, Sen
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/01/02
CYGNSS
soil moisture
data fusion
land cover
GBRT
Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 17, 页码: 19
作者:
Jiang, Guangmao
;
Wang, Juanle
;
Li, Kai
;
Xu, Chen
;
Li, Heng
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/10/09
land cover data products
Eastern European plain
spatial consistency
accuracy evaluation
consistency analysis
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
期刊论文
OAI收割
LAND, 2023, 卷号: 12, 期号: 5, 页码: 31
作者:
Serge, M. A.
;
Mazier, F.
;
Fyfe, R.
;
Gaillard, M. -J.
;
Klein, T.
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/10/09
Europe
quantitative past land cover
Holocene
pollen data
REVEALS model
relative pollen productivity
validation
A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 38
作者:
Ding, Yaxin
;
Yang, Xiaomei
;
Wang, Zhihua
;
Fu, Dongjie
;
Li, He
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/11/09
10 m land cover products
FROM-GLC10
ESRI 2020 land cover
world cover 2020
land use
cover
field data
accuracy assessment
earth observation
sentinel-2
A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 38
作者:
Ding, Yaxin
;
Yang, Xiaomei
;
Wang, Zhihua
;
Fu, Dongjie
;
Li, He
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/11/09
10 m land cover products
FROM-GLC10
ESRI 2020 land cover
world cover 2020
land use
cover
field data
accuracy assessment
earth observation
sentinel-2