NDLI: WorldPop: Disaggregating areal population count data for demographic mapping using Random Forests with remotely-sensed and other ancillary data

Content Provider	Semantic Scholar
Copyright Year	2013
Abstract	2.1 Data Description Population distribution is often highly correlated with land cover types and we incorporate land cover information using the finest resolution contemporary ground-validated dataset available for each country. Land cover data are complemented by digital elevation data and its derived slope estimates, primarily from the SRTM-based HydroSheds data (Lehner et al., 2006). We also include MODIS-derived, MOD17A3 estimates of net primary productivity (NPP) (Running et al., 2004) as well as observed lights at night, mosaicked from Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) data, standardized and provided as a global coverage (NOAA, 2012). Within-country climatic spatial variation is also incorporated, by using WorldClim/BioClim 1950-2000 mean annual precipitation (BIO12) and mean annual temperature (BIO1) estimates (Hijmans et al., 2005).
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.worldpop.org.uk/resources/docs/WorldPop-Random-Forest-Mapping.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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