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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... [17]
地质与地球物理研究所 [4]
金属研究所 [3]
成都山地灾害与环境研... [3]
寒区旱区环境与工程研... [2]
国家天文台 [2]
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OAI收割 [41]
iSwitch采集 [2]
内容类型
期刊论文 [42]
会议论文 [1]
发表日期
2019 [43]
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High-Spatial-Resolution Population Exposure to PM2.5 Pollution Based on Multi-Satellite Retrievals: A Case Study of Seasonal Variation in the Yangtze River Delta, China in 2013
期刊论文
OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 23, 页码: 17
作者:
Wang, Hong
;
Li, Jiawen
;
Gao, Zhiqiu
;
Yim, Steve H. L.
;
Shen, Huanfeng
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2020/06/05
population exposure
PM2.5
satellite remote sensing
random forest model
population estimation
Yangtze River Delta
China
Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices
期刊论文
OAI收割
SENSORS, 2019, 卷号: 19, 期号: 23, 页码: 17
作者:
Zhang, Yu
;
Han, Wenting
;
Niu, Xiaotao
;
Li, Guang
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/05/19
crop coefficient (K-c)
vegetation indices
deficit irrigation
regression model
soil water balance
stress coefficient
Properties of LBGs with [OIII] detection at z similar to 3.5 The importance of including nebular emission data in SED fitting
期刊论文
OAI收割
ASTRONOMY & ASTROPHYSICS, 2019, 卷号: 631, 页码: 12
作者:
Yuan, Fang-Ting
;
Burgarella, Denis
;
Corre, David
;
Buat, Veronique
;
Boquien, Mederic
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/09/26
galaxies: evolution
galaxies: high-redshift
The Effect of NDVI Time Series Density Derived from Spatiotemporal Fusion of Multisource Remote Sensing Data on Crop Classification Accuracy
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 11, 页码: 17
作者:
Sun, Rui
;
Chen, Shaohui
;
Su, Hongbo
;
Mi, Chunrong
;
Jin, Ning
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2020/05/19
support vector machine
classification accuracy
remote sensing
random forest
The Effect of NDVI Time Series Density Derived from Spatiotemporal Fusion of Multisource Remote Sensing Data on Crop Classification Accuracy
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 11, 页码: 17
作者:
Sun, Rui
;
Chen, Shaohui
;
Su, Hongbo
;
Mi, Chunrong
;
Jin, Ning
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/05/19
support vector machine
classification accuracy
remote sensing
random forest
The assessment of different vegetation indices for spatial disaggregating of thermal imagery over the humid agricultural region
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 页码: 20
作者:
Liu, Kai
;
Wang, Shudong
;
Li, Xueke
;
Li, Yao
;
Zhang, Bo
  |  
收藏
  |  
浏览/下载:99/0
  |  
提交时间:2020/05/19
The assessment of different vegetation indices for spatial disaggregating of thermal imagery over the humid agricultural region
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 页码: 20
作者:
Liu, Kai
;
Wang, Shudong
;
Li, Xueke
;
Li, Yao
;
Zhang, Bo
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/05/19
Research of step-length estimation methods for full waveform inversion in time domain
期刊论文
OAI收割
EXPLORATION GEOPHYSICS, 2019, 页码: 17
作者:
Ma, Xiaona
;
Li, Zhiyuan
;
Ke, Pei
;
Xu, Shanhui
;
Liang, Guanghe
  |  
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2019/11/14
Full waveform inversion
step-length estimation method
exact line-search method
inexact line-search method
step-length initial-guess method
Exploring regional differences in the impact of high energy-intensive industries on CO2 emissions: Evidence from a panel analysis in China
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 卷号: 26, 期号: 25, 页码: 26229-26241
作者:
Liu, Hanchu
;
Fan, Jie
;
Zhou, Kan
;
Wang, Qiang
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/03/23
High energy-intensive industries
CO2 emissions
Regional differences
Panel estimation
China
Exploring regional differences in the impact of high energy-intensive industries on CO2 emissions: Evidence from a panel analysis in China
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 卷号: 26, 期号: 25, 页码: 26229-26241
作者:
Liu, Hanchu
;
Fan, Jie
;
Zhou, Kan
;
Wang, Qiang
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/03/23
High energy-intensive industries
CO2 emissions
Regional differences
Panel estimation
China