Displaying 1 - 5 of 5
Operations
Chen, Xi. 2016. Using nighttime lights data as a proxy in social scientific research. [Recapturing Space: New Middle-Range Theory in Spatial Demography] Series: Spatial Demography Book Series. Ed(s): Howell, Frank M.; Porter, Jeremy R.; Matthews, Stephen A. 1: 301-323 DOI: https://doi.org/10.1007/978-3-319-22810-5_15
Uses Remote Sensing: yes
SEDAC Data Collection(s):
entri
grump-v1
povmap
(Book Section)
export
Mogollón, Beatriz; Frimpong, Emmanuel A.; Hoegh, Andrew B.; Angermeier, Paul L. 2016. Recent changes in stream flashiness and flooding, and effects of flood management in North Carolina and Virginia. [JAWRA Journal of the American Water Resources Association] . 52(3): 561-577 DOI: https://doi.org/10.1111/1752-1688.12408
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Politi, Eirini; Rowan, John S.; Cutler, Mark E. J. 2016. Assessing the utility of geospatial technologies to investigate environmental change within lake systems. [Science of The Total Environment] . 543(Part A): 791-806 DOI: https://doi.org/10.1016/j.scitotenv.2015.09.136
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grand-v1
groads
(Journal Article)
export
van Bemmelen, C. W. T.; Mann, M.; de Ridder, M. P.; Rutten, M. M.; van de Giesen, N. C. 2016. Determining water reservoir characteristics with global elevation data. [Geophysical Research Letters] . 43(21): 11278-11286 DOI: https://doi.org/10.1002/2016GL069816
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Herold, Christian; Rudari, Roberto. 2013. Improvement of the Global Flood Model for the GAR 2013 and 2015: Background Paper prepared for the Global Assessment Report on Disaster Risk Reduction 2013. UNISDR: The United Nations Office for Disaster Risk Reduction. pp: 43
Related URL(s): http://www.preventionweb.net/english/hyogo/gar/2013/en/bgdocs/Herold%20and%20Rud…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Report)
export
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