Displaying 1 - 6 of 6
Operations
Das, Sumit. 2020. Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP). [Remote Sensing Applications: Society and Environment] . 20: 100379 DOI: https://doi.org/10.1016/j.rsase.2020.100379
Uses Remote Sensing: yes
SEDAC Data Collection(s):
india
(Journal Article)
export
Subramanyam, Nidhi. 2020. A small improvement: small cities lag in expanding household water coverage across urban India. [Water Policy] . 22(3): 468-482 DOI: https://doi.org/10.2166/wp.2020.116
SEDAC Data Collection(s):
india
(Journal Article)
export
Suwal, Madan Krishna; Huettmann, Falk. 2020. A rather short story of shared GIS data layers in the Hindu Kush-Himalayas: State of the art, justifications and urgent suggestions for a sustainable global data governance with open access and open source coming to the rescue. [Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives] Ed(s): Regmi, Ganga Ram; Huettmann, Falk. pp: 521-563 DOI: https://doi.org/10.1007/978-3-030-36275-1_26
SEDAC Data Collection(s):
gpw-v4
groads
ndh
(Book Section)
export
Chammartin, Frédérique; Guimarães, Luiz H.; Scholte, Ronaldo G. C.; Bavia, Maria E.; Utzinger, Jürg; Vounatsou, Penelope. 2014. Spatio-temporal distribution of soil-transmitted helminth infections in Brazil. [Parasites & Vectors] . 7(1): 440 DOI: https://doi.org/10.1186/1756-3305-7-440
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Nichols, Gordon; Andersson, Yvonne; Lindgren, Elisabet; Devaux, Isabelle; Semenza, Jan. 2014. European monitoring systems and data for assessing environmental and climate impacts on human infectious diseases. [International Journal of Environmental Research and Public Health] . 11(4): 3894-3936 DOI: https://doi.org/10.3390/ijerph110403894
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
groads
grump-v1
sdp
(Journal Article)
export
Herrick, Keiko; Huettmann, Falk; Lindgren, Michael. 2013. A global model of avian influenza prediction in wild birds: the importance of northern regions. [Veterinary Research] . 44(1): 42 DOI: https://doi.org/10.1186/1297-9716-44-42
SEDAC Data Collection(s):
(Journal Article)
export
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