Displaying 1 - 10 of 22
Operations
Cheval, Sorin; Micu, Dana; Dumitrescu, Alexandru; Irimescu, Anișoara; Frighenciu, Maria; Iojă, Cristian; Tudose, Nicu Constantin; Davidescu, Șerban; Antonescu, Bogdan. 2020. Meteorological and Ancillary Data Resources for Climate Research in Urban Areas. [Climate] . 8(3): 37 DOI: https://doi.org/10.3390/cli8030037
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
ulandsat
(Journal Article)
export
Jia, Aolin; Liang, Shunlin; Wang, Dongdong; Jiang, Bo; Zhang, Xiaotong. 2020. Air pollution slows down surface warming over the Tibetan Plateau. [Atmospheric Chemistry and Physics] . 20: 881-899 DOI: https://doi.org/10.5194/acp-20-881-2020
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Khandelwal, Ankush; Karpatne, Anuj; Wei, Zhihao; Ghosh, Rahul; Kuang, Huangying; Cutler, Kelly; Dugan, Hilary; Hanson, Paul; Kumar, Vipin. 2020. ReaLSAT-R: A new Reservoir Surface Area Dynamics Database created using Machine Learning and Satellite Imagery.
Related URL(s): https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth28.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Conference Paper)
export
Lin, Mi; Biswas, Asim; Bennett, Elena M. 2020. Socio-ecological determinants on spatio-temporal changes of groundwater in the Yellow River Basin, China. [Science of The Total Environment] . 731: 138725 DOI: https://doi.org/10.1016/j.scitotenv.2020.138725
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grand-v1
(Journal Article)
export
Lin, Ying; Yang, Xiuyun; Li, Yanan; Yao, Shunbo. 2020. The effect of forest on PM2.5 concentrations: A spatial panel approach. [Forest Policy and Economics] . 118: 102261 DOI: https://doi.org/10.1016/j.forpol.2020.102261
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Liu, Dong; Bai, Yan; He, Xianqiang; Chen, Chen-Tung Arthur; Huang, Ting-Hsuan; Pan, Delu; Chen, Xiaoyan; Wang, Difeng; Zhang, Lin. 2020. Changes in riverine organic carbon input to the ocean from mainland China over the past 60 years. [Environment International] . 134: 105258 DOI: https://doi.org/10.1016/j.envint.2019.105258
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Li, Yao; Gao, Huilin; Zhao, Gang; Tseng, Kuo-Hsin. 2020. A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry. [Remote Sensing of Environment] . 244: 111831 DOI: https://doi.org/10.1016/j.rse.2020.111831
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Meichang, Wang; Bingbing, Zhang. 2020. Examining the impact of polycentric urban form on air pollution: evidence from China. [Environmental Science and Pollution Research] . 27: 43359–43371 DOI: https://doi.org/10.1007/s11356-020-10216-1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Nguyen, Hiep Duc; Trieu, Toan; Cope, Martin; Azzi, Merched; Morgan, Geoffrey. 2020. Modelling hazardous reduction burnings and bushfire emission in air quality model and their impacts on health in the Greater Metropolitan Region of Sydney. [Environmental Modeling & Assessment] . 25: 705-730 DOI: https://doi.org/10.1007/s10666-020-09705-x
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Journal Article)
export
Yang, C.; Zhan, Q.; Xiao, Y.; Liu, H. 2020. Identifying the driving factors of population exposure to fine particulate matter (PM2.5) in Wuhan, China. [ISPRS Annals of the Photogrammetry, Remote Sensing, and Spatial Information Sciences] . V-3-2020: 355-361 DOI: https://doi.org/10.5194/isprs-annals-V-3-2020-355-2020
Uses Remote Sensing: yes
SEDAC Data Collection(s):
sdei
(Journal Article)
export

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