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
植物研究所 [18]
水生生物研究所 [2]
烟台海岸带研究所 [1]
采集方式
OAI收割 [21]
内容类型
期刊论文 [21]
发表日期
2022 [2]
2021 [1]
2019 [3]
2018 [4]
2016 [6]
2014 [2]
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学科主题
Environme... [21]
Geoscience... [9]
Imaging Sc... [7]
Remote Sen... [7]
Biodiversi... [4]
Ecology [1]
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浏览/检索结果:
共21条,第1-10条
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学科主题:Environmental Sciences
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Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2022, 卷号: 127, 期号: 3
作者:
Ge, Rong
;
He, Honglin
;
Zhang, Li
;
Ren, Xiaoli
;
Williams, Mathew
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/03/07
soil carbon turnover time
vegetation carbon turnover time
climate sensitivity
forest carbon sequestration
The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management
期刊论文
OAI收割
COMMUNICATIONS EARTH & ENVIRONMENT, 2022, 卷号: 3, 期号: 1
作者:
Sha, Zongyao
;
Bai, Yongfei
;
Li, Ruren
;
Lan, Hai
;
Zhang, Xueliang
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/07
The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 15
作者:
Zhao, Yujin
;
Sun, Yihan
;
Chen, Wenhe
;
Zhao, Yanping
;
Liu, Xiaoliang
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/02/24
grassland
biodiversity
remote sensing
functional trait
spectral diversity
imaging spectroscopy
Underestimated ecosystem carbon turnover time and sequestration under the steady state assumption: A perspective from long-term data assimilation
期刊论文
OAI收割
GLOBAL CHANGE BIOLOGY, 2019, 卷号: 25, 期号: 3, 页码: 938-953
作者:
Ge, Rong
;
He, Honglin
;
Ren, Xiaoli
;
Zhang, Li
;
Yu, Guirui
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2022/01/06
carbon sequestration
climate sensitivity
non-steady state
steady state
turnover time
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 24
作者:
Guan, Hongcan
;
Su, Yanjun
;
Hu, Tianyu
;
Chen, Jin
;
Guo, Qinghua
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/01/06
spatiotemporal data fusion
object-based framework
similar pixel
vegetation mapping
Mapping Irrigated Areas of Northeast China in Comparison to Natural Vegetation
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 7
作者:
Xiang, Kunlun
;
Ma, Minna
;
Liu, Wei
;
Dong, Jie
;
Zhu, Xiufang
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/01/06
cropland
forest
irrigation
land surface water index
Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 204, 页码: 918-930
作者:
Yin, He
;
Pflugmacher, Dirk
;
Li, Ang
;
Li, Zhengguo
;
Hostert, Patrick
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/25
Land use and land cover change
Deforestation
Afforestation
Cropland retirement
MODIS time series
Trajectory-based approach
Inner Mongolia
Machine learning
Random forest
Probability scores
Evaluating the uncertainty of Landsat-derived vegetation indices in quantifying forest fuel treatments using bi-temporal LiDAR data
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2018, 卷号: 95, 页码: 298-310
作者:
Ma, Qin
;
Su, Yanjun
;
Luo, Laiping
;
Li, Le
;
Kelly, Maggi
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/02/25
Forest fuel treatment
Vegetation index
Aboveground biomass
LiDAR
Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 9
作者:
Wang, Dezhi
;
Wan, Bo
;
Qiu, Penghua
;
Su, Yanjun
;
Guo, Qinghua
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/02/25
mangroves
species
Sentinel-2
Landsat 8
Pleiades-1
random forest
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 8
作者:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Hu, Tianyu
;
Liu, Jin
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/25
canopy height
Random Forest
LiDAR
multi-source
vegetation type
location
scale