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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地理科学与资源研... [167]
烟台海岸带研究所 [10]
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期刊论文 [189]
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Satellite observed rapid inland aquaculture expansion in Jianghan Plain, China from 2016 to 2022
期刊论文
OAI收割
AQUACULTURE, 2025, 卷号: 599, 页码: 742132
作者:
Wang, Chen
;
Dong, Jinwei
;
Zhou, Yan
;
Cui, Yifeng
;
Chen, Xi
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2025/03/18
Inland freshwater aquaculture
Rice-crayfish fields
Google earth engine
Jianghan Plain
Spatial-temporal variation pattern
Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 136, 页码: 104399
作者:
Wuyun, Deji
;
Sun, Liang
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2025/03/18
Abandoned cropland
Agricultural natural zone
Google Earth Engine
Sample adaptive optimization
Agricultural sustainability
Decoupling characteristics of county-level land use carbon emissions and ecological environment quality at spatiotemporal scales: a case study of Shaanxi Province, China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 2436494
作者:
Li, Jianfeng
;
Han, Jichang
;
Zhang, Yang
;
Liu, Siqi
;
Ye, Huping
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/01/17
Land use carbon emissions (LUCE)
Remote Sensing Ecological Index (RSEI)
Google Earth Engine (GEE)
decoupling
county-level
Rapid lithological mapping using multi-source remote sensing data fusion and automatic sample generation strategy
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 23
作者:
Zhang, Tao
;
Zhao, Zhifang
;
Dong, Pinliang
;
Tang, Bo-Hui
;
Zhang, Geng
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/02/06
Lithological mapping
sample auto-generation
data fusion
Google Earth Engine
object-based segmentation
Annual improved maps to understand the complete evolution of 9 thousand lakes on the Tibetan plateau in 1991-2023
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2024, 卷号: 217, 页码: 134-148
作者:
Zhou, Yan
;
Liu, Bailu
;
Cui, Yaoping
;
Wang, Xinxin
;
Cao, Mengmeng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/10/21
Lake changes
Lake_TP dataset
Tibetan Plateau
Landsat
Google Earth Engine
First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data
期刊论文
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2024, 卷号: 67, 期号: 10, 页码: 3252-3269
作者:
Sun, Weiwei
;
Yang, Gang
;
Huang, Yuling
;
Mao, Dehua
;
Huang, Ke
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/10/21
Wetland mapping
Google Earth Engine
Sentinel imagery
South America
Tidal Flat Extraction and Analysis in China Based on Multi-Source Remote Sensing Image Collection and MSIC-OA Algorithm
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 19, 页码: 16
作者:
Sun, Jixiang
;
Tang, Cheng
;
Mu, Ke
;
Li, Yanfang
;
Zheng, Xiangyang
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/11/15
Google Earth Engine
MSIC-OA
mNDWI
NDVI
tidal flat resources
shoreline
Is satellite-observed surface water expansion a good signal to China's largest granary?
期刊论文
OAI收割
AGRICULTURAL WATER MANAGEMENT, 2024, 卷号: 303, 页码: 14
作者:
Liang, Han
;
Zhou, Yan
;
Cui, Yaoping
;
Dong, Jinwei
;
Gao, Zhenfei
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/11/28
Northeast China
Surface water area
Groundwater storage
Google Earth Engine
Evaporation
A dual-path model merging CNN and RNN with attention mechanism for crop classification
期刊论文
OAI收割
EUROPEAN JOURNAL OF AGRONOMY, 2024, 卷号: 159, 页码: 127273
作者:
Zhang, Fuyao
;
Yin, Jielin
;
Wu, Nan
;
Hu, Xinyu
;
Sun, Shikun
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/08/22
Crop classification
Deep learning
Google Earth Engine
Attention mechanism
Time-series data
Early identification of immature rubber plantations using Landsat and Sentinel satellite images
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 133, 页码: 13
作者:
Wang, Xincheng
;
Chen, Bangqian
;
Dong, Jinwei
;
Gao, Yuanfeng
;
Wang, Guizhen
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/11/28
Immature rubber plantations
Early identification
Random forest
Google Earth Engine