中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究... [28]
南京地理与湖泊研究所 [2]
采集方式
OAI收割 [30]
内容类型
期刊论文 [29]
学位论文 [1]
发表日期
2024 [4]
2023 [8]
2022 [4]
2021 [10]
2020 [4]
学科主题
Environmen... [1]
Geology [1]
Imaging Sc... [1]
Remote Sen... [1]
筛选
浏览/检索结果:
共30条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 21, 页码: 3924
作者:
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/12/20
evapotranspiration (ET)
Sun-Induced Fluorescence (SIF)
two-leaf light use efficiency model
transpiration
SIF partitioning
Assessing Spatial Representativeness of Global Flux Tower Eddy-Covariance Measurements Using Data from FLUXNET2015
期刊论文
OAI收割
SCIENTIFIC DATA, 2024, 卷号: 11, 期号: 1, 页码: 569
作者:
Fang, Junjun
;
Fang, Jingchun
;
Chen, Baozhang
;
Zhang, Huifang
;
Dilawar, Adil
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2024/07/12
Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan (vol 11, 1272155, 2024)
期刊论文
OAI收割
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 卷号: 12, 页码: 1
作者:
Dilawar, Adil
;
Chen, Baozhang
;
Ul-Haq, Zia
;
Ali, Shahbaz
;
Sajjad, Meer Muhammad
  |  
收藏
  |  
浏览/下载:105/0
  |  
提交时间:2024/05/27
land use and land cover change
land change model
atmospheric pollution
climate change
multiscale geographically weighted regression
Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan
期刊论文
OAI收割
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 卷号: 11, 页码: 21
作者:
Dilawar, Adil
;
Chen, Baozhang
;
Ul-Haq, Zia
;
Ali, Shahbaz
;
Sajjad, Meer Muhammad
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2024/04/01
land use and land cover change
land change model
atmospheric pollution
climate change
multiscale geographically weighted regression
Global Evaluation and Intercomparison of XCO
2
Retrievals from GOSAT, OCO-2, and TANSAT with TCCON
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 20, 页码: 20
作者:
Fang, Junjun
;
Chen, Baozhang
;
Zhang, Huifang
;
Dilawar, Adil
;
Guo, Man
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/12/22
carbon satellites
XCO2
TCCON
cross-validation
remote sensing
Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 20, 页码: 5073
作者:
Fang, Junjun
;
Chen, Baozhang
;
Zhang, Huifang
;
Dilawar, Adil
;
Guo, Man
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/01/04
carbon satellites
XCO2
TCCON
cross-validation
remote sensing
Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin
期刊论文
OAI收割
THEORETICAL AND APPLIED CLIMATOLOGY, 2023, 页码: 18
作者:
Shafeeque, Muhammad
;
Hafeez, Mohsin
;
Sarwar, Abid
;
Arshad, Arfan
;
Khurshid, Tahira
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/10/09
评估土地利用和覆盖变化对巴基斯坦区域气候和空气污染的影响
学位论文
OAI收割
中国科学院地理科学与资源研究所: 中国科学院大学, 2023
作者:
ADIL DILAWAR
  |  
收藏
  |  
浏览/下载:125/0
  |  
提交时间:2023/12/07
土地利用和土地覆被变化(LULCC)
区域气候
热效应贡献指数(HECI)
城市地表热岛强度(SUHII)
城市热场方差(UTFVI)
遥感
气候预报模型(WRF)
干旱
热浪
极端气候
大气污染
空气污染动力学
地理加权回归模型
Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 8, 页码: 2084
作者:
Dilawar, Adil
;
Chen, Baozhang
;
Ul-Haq, Zia
;
Amir, Muhammad
;
Arshad, Arfan
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/06/10
air pollution
APPCAP
Geographically weighted regression (GWR)
meteorology
Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS)
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 4, 页码: 873
作者:
Ali, Shoaib
;
Khorrami, Behnam
;
Jehanzaib, Muhammad
;
Tariq, Aqil
;
Ajmal, Muhammad
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/01/04
Indus Basin Irrigation System
GRACE
TWS
machine learning models
downscaling
drought monitoring