Displaying 1 - 10 of 33
Operations
Abdul Rahaman, S.; Venkatesh, R. 2020. Application of remote sensing and Google Earth Engine for monitoring environmental degradation in the Nilgiri Biosphere Reserv and its ecosystem of Western Ghats, India. [International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences] . XLIII-B3-2020: 933-940 DOI: https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-933-2020
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
(Journal Article)
export
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
Andrade-Núñez, María José; Aide, T. Mitchell. 2020. The socio-economic and environmental variables associated with hotspots of infrastructure expansion in South America. [Remote Sensing] . 12(1): 116 DOI: https://doi.org/10.3390/rs12010116
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
(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
Dang, Yongcai; He, Hongshi; Zhao, Dandan; Sunde, Michael; Du, Haibo. 2020. Quantifying the relative importance of climate change and human activities on selected wetland ecosystems in China. [Sustainability] . 12(3): 912 DOI: https://doi.org/10.3390/su12030912
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
(Journal Article)
export
Dolan, Carrie B.; McDade, Kaci Kennedy. 2020. Pulling the purse strings: Are there sectoral differences in political preferencing of Chinese aid to Africa?. [PLOS ONE] . 15(4): e0232126 DOI: https://doi.org/10.1371/journal.pone.0232126
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
groads
(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
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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