Displaying 1 - 10 of 32
Operations
Akpoti, Komlavi; Kabo-bah, Amos T.; Dossou-Yovo, Elliott R.; Groen, Thomas A.; Zwart, Sander J. 2020. Mapping suitability for rice production in inland valley landscapes in Benin and Togo using environmental niche modeling. [Science of The Total Environment] . 709: 136165 DOI: https://doi.org/10.1016/j.scitotenv.2019.136165
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Baker, Rachel E.; Yang, Wenchang; Vecchi, Gabriel A.; Metcalf, C. Jessica E.; Grenfell, Bryan T. 2020. Susceptible supply limits the role of climate in the early SARS-CoV-2 pandemic. [Science] . 369(6501): 315-319 DOI: https://doi.org/10.1126/science.abc2535
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Chen, Qi-Xiang; Huang, Chun-Lin; Yuan, Yuan; Mao, Qian-Jun; Tan, He-Ping. 2020. Spatiotemporal distribution of major aerosol types over China based on MODIS products between 2008 and 2017. [Atmosphere] . 11(7): 703 DOI: https://doi.org/10.3390/atmos11070703
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Danesh Yazdi, Mahdieh; Kuang, Zheng; Dimakopoulou, Konstantina; Barratt, Benjamin; Suel, Esra; Amini, Heresh; Lyapustin, Alexei; Katsouyanni, Klea; Schwartz, Joel. 2020. Predicting fine particulate matter (PM2.5) in the Greater London area: An ensemble approach using machine learning methods. [Remote Sensing] . 12(6): 914 DOI: https://doi.org/10.3390/rs12060914
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Deka, Mark A. 2020. Mapping the geographic distribution of Tungiasis in Sub-Saharan Africa. [Tropical Medicine and Infectious Disease] . 5(3): 122 DOI: https://doi.org/10.3390/tropicalmed5030122
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
povmap
(Journal Article)
export
Dhewantara, Pandji Wibawa; Zhang, Wenyi; Al Mamun, Abdullah; Yin, Wen-Wu; Ding, Fan; Guo, Danhuai; Hu, Wenbiao; Soares Magalhães, Ricardo J. 2020. Spatial distribution of leptospirosis incidence in the Upper Yangtze and Pearl River Basin, China: Tools to support intervention and elimination. [Science of The Total Environment] . 725: 138251 DOI: https://doi.org/10.1016/j.scitotenv.2020.138251
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Ding, Su; He, Jianhua; Liu, Dianfeng; Zhang, Ruitian; Yu, Shuying. 2020. The spatially heterogeneous response of aerosol properties to anthropogenic activities and meteorology changes in China during 1980–2018 based on the singular value decomposition method. [Science of The Total Environment] . 724: 138135 DOI: https://doi.org/10.1016/j.scitotenv.2020.138135
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Journal Article)
export
Doremus, Jacqueline. 2020. How does eco-label competition affect environmental benefits? The case of Central Africa's forests. [Journal of Environmental Economics and Management] . 103: 102344 DOI: https://doi.org/10.1016/j.jeem.2020.102344
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Ehrlich, Daniele; Balk, Deborah; Sliuzas, Richard. 2020. Measuring and understanding global human settlements patterns and processes: innovation, progress and application. [International Journal of Digital Earth] . 13(1): 2-8 DOI: https://doi.org/10.1080/17538947.2019.1630072
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Gong, Peng; Li, Xuecao; Wang, Jie; Bai, Yuqi; Chen, Bin; Hu, Tengyun; Liu, Xiaoping; Xu, Bing; Yang, Jun; Zhang, Wei; Zhou, Yuyu. 2020. Annual maps of global artificial impervious area (GAIA) between 1985 and 2018. [Remote Sensing of Environment] . 236: 111510 DOI: https://doi.org/10.1016/j.rse.2019.111510
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export

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