Displaying 31 - 40 of 114
Operations
Liu, Xue; de Sherbinin, Alex; Zhan, Yanni. 2019. Mapping urban extent at large spatial scales using machine learning methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data. [Remote Sensing] . 11(10): 1247 DOI: https://doi.org/10.3390/rs11101247
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(Journal Article)
export
Lloyd, Christopher T.; Chamberlain, Heather; Kerr, David; Yetman, Greg; Pistolesi, Linda; Stevens, Forrest R.; Gaughan, Andrea E.; Nieves, Jeremiah J.; Hornby, Graeme; MacManus, Kytt; Sinha, Parmanand; Bondarenko, Maksym; Sorichetta, Alessandro; Tatem, Andrew J. 2019. Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets. [Big Earth Data] . 3(2): 108-139 DOI: https://doi.org/10.1080/20964471.2019.1625151
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
grump-v1
(Journal Article)
export
Luangasanatip, Nantasit; Flasche, Stefan; Dance, David A. B.; Limmathurotsakul, Direk; Currie, Bart J.; Mukhopadhyay, Chiranjay; Atkins, Tim; Titball, Richard; Jit, Mark. 2019. The global impact and cost-effectiveness of a melioidosis vaccine. [BMC Medicine] . 17(1): 129 DOI: https://doi.org/10.1186/s12916-019-1358-x
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Markovic, Danijela; Walz, Ariane; Kärcher, Oskar. 2019. Scale effects on the performance of niche-based models of freshwater fish distributions: Local vs. upstream area influences. [Ecological Modelling] . 411: 108818 DOI: https://doi.org/10.1016/j.ecolmodel.2019.108818
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
McDonough, Carrie A.; Franks, Diana G.; Hahn, Mark E.; Lohmann, Rainer. 2019. Aryl hydrocarbon receptor-mediated activity of gas-phase ambient air derived from passive sampling and an in vitro bioassay. [Environmental Toxicology and Chemistry] . 38(4): 748-759 DOI: https://doi.org/10.1002/etc.4361
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
McKenzie, Grant; Slind, R. Todd. 2019. A user-generated data based approach to enhancing location prediction of financial services in sub-Saharan Africa. [Applied Geography] . 105: 25-36 DOI: https://doi.org/10.1016/j.apgeog.2019.02.005
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Mesimäki, Marja; Hauru, Kaisa; Lehvävirta, Susanna. 2019. Do small green roofs have the possibility to offer recreational and experiential benefits in a dense urban area? A case study in Helsinki, Finland. [Urban Forestry & Urban Greening] . 40: 114-124 DOI: https://doi.org/10.1016/j.ufug.2018.10.005
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Murakami, Daisuke; Yamagata, Yoshiki. 2019. Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling. [Sustainability] . 11(7): 2106 DOI: https://doi.org/10.3390/su11072106
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Nanni, A. Sofía; Sloan, Sean; Aide, T. Mitchell; Graesser, Jordan; Edwards, David; Grau, H. Ricardo. 2019. The neotropical reforestation hotspots: A biophysical and socioeconomic typology of contemporary forest expansion. [Global Environmental Change] . 54: 148-159 DOI: https://doi.org/10.1016/j.gloenvcha.2018.12.001
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
grump-v1
(Journal Article)
export
Nelson, Andy; Weiss, Daniel J.; van Etten, Jacob; Cattaneo, Andrea; McMenomy, Theresa S.; Koo, Jawoo. 2019. A suite of global accessibility indicators. [Scientific Data] . 6(1): 266 DOI: https://doi.org/10.1038/s41597-019-0265-5
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export

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