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... [34]
高能物理研究所 [26]
西北高原生物研究所 [19]
成都山地灾害与环境... [17]
上海应用物理研究所 [9]
合肥物质科学研究院 [9]
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OAI收割 [181]
内容类型
期刊论文 [139]
专利 [32]
CNKI期刊论文 [2]
会议论文 [2]
标准 [2]
EI期刊论文 [1]
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2024 [3]
2023 [16]
2022 [10]
2021 [6]
2020 [12]
2019 [16]
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Geology [5]
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Imaging Sc... [2]
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土壤、肥料综合 [2]
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Estimating global transpiration from TROPOMI SIF with angular normalization and separation for sunlit and shaded leaves
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2025, 卷号: 319, 页码: 114586
作者:
Zheng, Chen
;
Wang, Shaoqiang
;
Chen, Jing M.
;
Xiao, Jingfeng
;
Chen, Jinghua
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2025/03/18
Angular normalization
Transpiration
Sunlit and shaded SIF
Hybrid model
TROPOMI SIF
Stability of China's terrestrial ecosystems carbon sink during 2000-2020
期刊论文
OAI收割
RESOURCES CONSERVATION AND RECYCLING, 2025, 卷号: 212, 页码: 108007
作者:
Shi, Liang
;
He, Honglin
;
Zhang, Li
;
Wang, Junbang
;
Ren, Xiaoli
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2025/01/17
China's terrestrial ecosystem
Net ecosystem productivity
Resilience
Temporal variability
Instability
Mapping the Fraction of Vegetation Coverage of Potamogeton crispus L. in a Shallow Lake of Northern China Based on UAV and Satellite Data
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 16, 页码: 2917
作者:
Chen, Junjie
;
Yu, Quanzhou
;
Zhao, Fenghua
;
Zhang, Huaizhen
;
Liang, Tianquan
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/10/21
Nansi Lake
Potamogeton crispus L.
RGB VIs
Sentinel-2
UAV
GF-2
FVC
NDWI
Mapping the Fraction of Vegetation Coverage of
Potamogeton crispus
L. in a Shallow Lake of Northern China Based on UAV and Satellite Data
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 16, 页码: 19
作者:
Chen, Junjie
;
Yu, Quanzhou
;
Zhao, Fenghua
;
Zhang, Huaizhen
;
Liang, Tianquan
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/11/28
Nansi Lake
Potamogeton crispus L.
RGB VIs
Sentinel-2
UAV
GF-2
FVC
NDWI
Integrating leaf functional traits improves modelled estimates of carbon and water fluxes at a subtropical evergreen conifer forest
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2024, 卷号: 488, 页码: 110593
作者:
Chen, Bin
;
Li, Yue
;
Wang, Shaoqiang
;
Chen, Jinghua
;
Zhang, Xuanze
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/01/26
Leaf maximum carboxylation rate
Leaf maximum electron transport rate
Gross primary productivity Evapotranspiration
Sunlit and shaded leaves
Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity
期刊论文
OAI收割
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
作者:
Zhang, Lei
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/01/08
Convolution isogeometric analysis (C-IGA)
Convolution hierarchical deep-learning neural network (C-hiDeNN)
Software 2.0
r-h-p-s-a adaptive finite element method (FEM)
High-order smoothness and convergence
Changes in mariculture and offshore seawater quality in China during the past 20 years
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2023, 卷号: 157, 页码: 10
作者:
Liu, Yueming
;
Wang, Zhihua
;
Yang, Xiaomei
;
Wang, Shaoqiang
;
Liu, Xiaoliang
  |  
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2024/01/02
Mariculture
Seawater quality
Spatial pattern
Sustainable development
Changes in the spatial distribution of mariculture in China over the past 20 years
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2023, 卷号: 33, 期号: 12, 页码: 2377-2399
作者:
Liu, Yueming
;
Wang, Zhihua
;
Yang, Xiaomei
;
Wang, Shaoqiang
;
Liu, Xiaoliang
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/01/22
remote sensing
mariculture
coastal zone of China
spatiotemporal variation
Drought will constrain ongoing increase in net ecosystem productivity under future climate warming over alpine grasslands on the Qinghai-Tibetan Plateau, China
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 15
作者:
Zuo, Chan
;
Wang, Junbang
;
Zhang, Xiujuan
;
Ye, Hui
;
Wang, Shaoqiang
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/10/30
Qinghai
Carbon sink
CEVSA-RS
Drought
Warming climate
综合古地理重建的数字智能化趋势与方法进展
期刊论文
OAI收割
地质学报, 2023, 卷号: 97, 期号: 09, 页码: 2956-2974
作者:
侯明才
;
陈安清
;
任强
;
钟瀚霆
;
李志林
  |  
收藏
  |  
浏览/下载:78/0
  |  
提交时间:2023/11/06
深时数字地球
古地理
大数据
机器学习
重建模型