Displaying 1 - 10 of 150
Operations
Aina, Yusuf A.; Aleem, K. F. 2014. Assessing the vulnerability of an industrial city to predicted sea level rise using SRTM and GPW observations: The case of Yanbu, Saudi Arabia. [International Journal of Geoinformatics] . 10(3): 73-81
Related URL(s): http://journals.sfu.ca/ijg/index.php/journal/article/view/437
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Almås, Ingvid; Johnsen, Åshild Auglænd; Kotsadam, Andreas. 2014. Poverty in China as Seen from Outer Space. Department of Economics, University of Oslo. Issue: Memorandum 11/2014: 17
Related URL(s): http://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Report)
export
Arbault, Damien; Rugani, Benedetto; Tiruta-Barna, Ligia; Benetto, Enrico. 2014. A first global and spatially explicit emergy database of rivers and streams based on high-resolution GIS-maps. [Ecological Modelling] . 281: 52-64 DOI: https://doi.org/10.1016/j.ecolmodel.2014.03.004
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Asefi-Najafabady, S.; Rayner, P. J.; Gurney, K. R.; McRobert, A.; Song, Y.; Coltin, K.; Huang, J.; Elvidge, C.; Baugh, K. 2014. A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of results. [Journal of Geophysical Research: Atmospheres] . 119(17): 10213-10231 DOI: https://doi.org/10.1002/2013jd021296
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Baek, K. H.; Kim, Jae H.; Park, Rokjin J.; Chance, Kelly; Kurosu, Thomas P. 2014. Validation of OMI HCHO data and its analysis over Asia. [Science of The Total Environment] . 490: 93-105 DOI: https://doi.org/10.1016/j.scitotenv.2014.04.108
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Binswanger-Mkhize, Hans P.; Savastano, Sara. 2014. Agricultural Intensification: The Status in Six African Countries. [World Bank Policy Research Working Paper] The World Bank. Issue: WPS 7116: 34
Related URL(s): http://hdl.handle.net/10986/20649
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Report)
export
Bistinas, I.; Harrison, S. P.; Prentice, I. C.; Pereira, J. M. C. 2014. Causal relationships versus emergent patterns in the global controls of fire frequency. [Biogeosciences] . 11(18): 5087-5101 DOI: https://doi.org/10.5194/bg-11-5087-2014
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Bistinas, Ioannis; Harrison, S. P.; Prentice, I. C.; Pereira, J. M. C. 2014. Causal relationships vs. emergent patterns in the global controls of fire frequency. [Biogeosciences] . 11: 5087-5101 DOI: https://doi.org/10.5194/bgd-11-3865-2014
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Bódis, K.; Monforti, F.; Szabó, S. 2014. Could Europe have more mini hydro sites? A suitability analysis based on continentally harmonized geographical and hydrological data. [Renewable and Sustainable Energy Reviews] . 37: 794-808 DOI: https://doi.org/10.1016/j.rser.2014.05.071
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Journal Article)
export
Bosch, Jaime; Mardones, Fernando; Pérez, Andrés; de la Torre, Ana; Muñoz, María Jesús. 2014. A maximum entropy model for predicting wild boar distribution in Spain. [Spanish Journal of Agricultural Research] . 12(4): 984-999 DOI: https://doi.org/10.5424/sjar/2014124-5717
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export

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