205
9.3.1.2 Environmental Data Sets
For comparative purposes we obtained environmental data from two sources: (1)
environmental variables derived from WorldClim and (2) S-RS data products
(Fig. 9.3). Environmental variables derived from climatic data were obtained from
the 10 to 2.5 arcmin WorldClim (Hijmans et al. 2005; spatial resolution of ~18.5
and 4.5 km at the equator, respectively) for annual mean temperature (BIO1), temperature seasonality (BIO4), minimum temperature of coldest month (BIO6), mean
Fig. 9.3 A selection of S-RS products and climatic variables used in this study. The panels show
(a) Climate Hazards group Infrared Precipitation with Stations (CHIRPS); (b) MODIS mean LAI;
(c) MODIS mean NDVI; (d) mean annual temperature; (e) mean annual precipitation; and (f)
altitude or mean elevation from Shuttle Radar Topography Mission (SRTM)
9 Using Remote Sensing for Modeling and Monitoring Species Distributions
9.3.1.2 Environmental Data Sets
For comparative purposes we obtained environmental data from two sources: (1)
environmental variables derived from WorldClim and (2) S-RS data products
(Fig. 9.3). Environmental variables derived from climatic data were obtained from
the 10 to 2.5 arcmin WorldClim (Hijmans et al. 2005; spatial resolution of ~18.5
and 4.5 km at the equator, respectively) for annual mean temperature (BIO1), temperature seasonality (BIO4), minimum temperature of coldest month (BIO6), mean
Fig. 9.3 A selection of S-RS products and climatic variables used in this study. The panels show
(a) Climate Hazards group Infrared Precipitation with Stations (CHIRPS); (b) MODIS mean LAI;
(c) MODIS mean NDVI; (d) mean annual temperature; (e) mean annual precipitation; and (f)
altitude or mean elevation from Shuttle Radar Topography Mission (SRTM)
9 Using Remote Sensing for Modeling and Monitoring Species Distributions