Displaying 1 - 10 of 12
Operations
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
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
Manacorda, Marco; Tesei, Andrea. 2020. Liberation technology: Mobile phones and political mobilization in Africa. [Econometrica] . 88(2): 533-567 DOI: https://doi.org/10.3982/ecta14392
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
povmap
(Journal Article)
export
Mussetti, Gianluca; Brunner, Dominik; Henne, Stephan; Allegrini, Jonas; Krayenhoff, E. Scott; Schubert, Sebastian; Feigenwinter, Christian; Vogt, Roland; Wicki, Andreas; Carmeliet, Jan. 2020. COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees. [Geoscientific Model Development] . 13: 1685-1710 DOI: https://doi.org/10.5194/gmd-13-1685-2020
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(Journal Article)
export
Roni, Rezaul; Jia, Peng. 2020. An optimal population modeling approach using geographically weighted regression based on high-resolution remote sensing data: A case study in Dhaka City, Bangladesh. [Remote Sensing] . 12(7): 1184 DOI: https://doi.org/10.3390/rs12071184
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Tellman, Beth; Sesnie, Steven E.; Magliocca, Nicholas R.; Nielsen, Erik A.; Devine, Jennifer A.; McSweeney, Kendra; Jain, Meha; Wrathall, David J.; Dávila, Anayasi; Benessaiah, Karina; Aguilar-Gonzalez, Bernardo. 2020. Illicit drivers of land use change: Narcotrafficking and forest loss in Central America. [Global Environmental Change] . 63: 102092 DOI: https://doi.org/10.1016/j.gloenvcha.2020.102092
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Bai, Zhanguo; Dent, David. 2009. Recent land degradation and improvement in China. [Ambio] . 38(3): 150-156 DOI: https://doi.org/10.1579/0044-7447-38.3.150
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
povmap
(Journal Article)
export
Mitchard, E. T. A.; Saatchi, S. S.; Gerard, F. F.; Lewis, S. L.; Meir, P. 2009. Measuring woody encroachment along a forest-savanna boundary in Central Africa. [Earth Interactions] . 13(8): 1-29 DOI: https://doi.org/10.1175/2009EI278.1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export

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