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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... [32]
成都山地灾害与环境研... [2]
自动化研究所 [2]
长春光学精密机械与物... [1]
武汉植物园 [1]
沈阳应用生态研究所 [1]
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采集方式
OAI收割 [39]
内容类型
期刊论文 [39]
发表日期
2019 [39]
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Quick Aboveground Carbon Stock Estimation of Densely Planted Shrubs by Using Point Cloud Derived from Unmanned Aerial Vehicle
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18
作者:
Zhang, Xueyan
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/05/19
unmanned aerial vehicle
estimation model
carbon sink
aboveground carbon stock
carbon trade
densely planted shrub
China
Quick Aboveground Carbon Stock Estimation of Densely Planted Shrubs by Using Point Cloud Derived from Unmanned Aerial Vehicle
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18
作者:
Zhang, Xueyan
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/05/19
unmanned aerial vehicle
estimation model
carbon sink
aboveground carbon stock
carbon trade
densely planted shrub
China
Soil C and N dynamics and hydrological processes in a maize-wheat rotation field subjected to different tillage and straw management practices
期刊论文
OAI收割
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2019, 卷号: 285, 页码: 9
作者:
Wang, Li
;
Yuan, Xiaoliang
;
Liu, Chuang
;
Li, Zhiguo
;
Chen, Fang
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2020/10/04
Danjiangkou Reservoir
Conservation tillage
SPACSYS
Surface runoff
Soil C and N balances
Soil C and N dynamics and hydrological processes in a maize-wheat rotation field subjected to different tillage and straw management practices
期刊论文
OAI收割
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2019, 卷号: 285, 页码: 9
作者:
Wang, Li
;
Yuan, Xiaoliang
;
Liu, Chuang
;
Li, Zhiguo
;
Chen, Fang
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2020/05/19
Danjiangkou Reservoir
Conservation tillage
SPACSYS
Surface runoff
Soil C and N balances
Deriving a long-term pan evaporation reanalysis dataset for two Chinese pan types
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2019, 卷号: 579, 页码: 11
作者:
Wang, Kaiwen
;
Liu, Xiaomang
;
Li, Yuqi
;
Yang, Xiaohua
;
Bai, Peng
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/05/19
Pan evaporation reanalysis dataset
Long-term continuous and consistent dataset
Representativeness to atmospheric evaporative demand
Deriving a long-term pan evaporation reanalysis dataset for two Chinese pan types
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2019, 卷号: 579, 页码: 11
作者:
Wang, Kaiwen
;
Liu, Xiaomang
;
Li, Yuqi
;
Yang, Xiaohua
;
Bai, Peng
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/05/19
Pan evaporation reanalysis dataset
Long-term continuous and consistent dataset
Representativeness to atmospheric evaporative demand
Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 693, 页码: 12
作者:
Wang, Yaqin
;
Luo, Yi
;
Shafeeque, Muhammad
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/05/19
Satellite phenology
GIMMS
Normalized Difference Vegetation Index
Daytime and night-time
Asymmetric effects
Opposing response
Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 693, 页码: 12
作者:
Wang, Yaqin
;
Luo, Yi
;
Shafeeque, Muhammad
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/05/19
Satellite phenology
GIMMS
Normalized Difference Vegetation Index
Daytime and night-time
Asymmetric effects
Opposing response
Assessment of five satellite-derived LAI datasets for GPP estimations through ecosystem models
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 690, 页码: 1120-1130
作者:
Xie, Xinyao
;
Li, Ainong
;
Jin, Huaan
;
Tan, Jianbo
;
Wang, Changbo
  |  
收藏
  |  
浏览/下载:143/0
  |  
提交时间:2019/10/08
Satellite-derived LAI datasets
Gross primary productivity
Topographic effects
LUE model
Process-based model
Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 22, 页码: 22
作者:
Zhu, Wanxue
;
Sun, Zhigang
;
Peng, Jinbang
;
Huang, Yaohuan
;
Li, Jing
  |  
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2020/05/19
unmanned aerial vehicle
above-ground biomass
LiDAR
crop height
machine learning
multispectral data
SfM point clouds