Displaying 1 - 10 of 34
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Chamberlin, Jordan; Jayne, T. S.; Headey, D. 2014. Scarcity amidst abundance? Reassessing the potential for cropland expansion in Africa. [Food Policy] . 48: 51-65 DOI: https://doi.org/10.1016/j.foodpol.2014.05.002
SEDAC Data Collection(s):
grump-v1
(Journal Article)
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Chammartin, Frédérique; Houngbedji, Clarisse A.; Hürlimann, Eveline; Yapi, Richard B.; Silué, Kigbafori D.; Soro, Gotianwa; Kouamé, Ferdinand N.; N′Goran, Eliézer K.; Utzinger, Jürg; Raso, Giovanna; Vounatsou, Penelope. 2014. Bayesian risk mapping and model-based estimation of Schistosoma haematobium–Schistosoma mansoni co-distribution in Côte d′Ivoire. [PLOS Neglected Tropical Diseases] . 8(12): e3407 DOI: https://doi.org/10.1371/journal.pntd.0003407
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Christenson, Elizabeth; Bain, Robert; Wright, Jim; Aondoakaa, Stephen; Hossain, Rifat; Bartram, Jamie. 2014. Examining the influence of urban definition when assessing relative safety of drinking-water in Nigeria. [Science of The Total Environment] . 490: 301-312 DOI: https://doi.org/10.1016/j.scitotenv.2014.05.010
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
de Brauw, Alan; Mueller, Valerie; Lee, Hak Lim. 2014. The role of rural–urban migration in the structural transformation of Sub-Saharan Africa. [World Development] . 63: 33-42 DOI: https://doi.org/10.1016/j.worlddev.2013.10.013
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Ghosh, Tuhin; Mukhopadhyay, Anirban. 2014. Thermal heat island effect in Bihar. [Natural Hazard Zonation of Bihar (India) Using Geoinformatics: A Schematic Approach] Series: SpringerBriefs in Earth Sciences. pp: 45-53 DOI: https://doi.org/10.1007/978-3-319-04438-5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Book Section)
export
Kim, Seung-bum; van Zyl, Jakob; Dunbar, Scott; Njoku, Eni; Johnson, Joel; Moghaddam, Mahta; Shi, Jiancheng; Tsang, Leung. 2014. Algorithm Theoretical Basis Document: SMAP L2 & L3 Radar Soil Moisture (Active) Data Products. pp: 52
Related URL(s): http://smap.jpl.nasa.gov/system/internal_resources/details/original/276_L2_3_SM_…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Report)
export
Klotz, Martin; Kemper, Thomas; Esch, Thomas; Pesaresi, Martino; Pittore, Massimiliano; Weiland, Marc; Geiss, Christian; Taubenböck, Hannes. 2014. Mapping global exposure from space: A review of existing products and comparison of two new layers of global urban extent. [Second European Conference on Earthquake Engineering and Seismology] pp: 13
Related URL(s): http://elib.dlr.de/91514/1/2ECEES2014_Klotz_et_al.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Conference Paper)
export
Lin, Jinyao; Liu, Xiaoping; Li, Kai; Li, Xia. 2014. A maximum entropy method to extract urban land by combining MODIS reflectance, MODIS NDVI, and DMSP-OLS data. [International Journal of Remote Sensing] . 35(18): 6708-6727 DOI: https://doi.org/10.1080/01431161.2014.960623
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Liu, Zhifeng; He, Chunyang; Zhou, Yuyu; Wu, Jianguo. 2014. How much of the world’s land has been urbanized, really? A hierarchical framework for avoiding confusion. [Landscape Ecology] . 29(5): 763-771 DOI: https://doi.org/10.1007/s10980-014-0034-y
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Marcotullio, Peter J.; Sarzynski, Andrea; Albrecht, Jochen; Schulz, Niels. 2014. A top-down regional assessment of urban greenhouse gas emissions in Europe. [Ambio] . 43(7): 957-968 DOI: https://doi.org/10.1007/s13280-013-0467-6
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export

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