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Table 3 Variables and their data sources used for integrating (bio) climatic and remote sensing data

From: Integration of remote sensing and bioclimatic data for prediction of invasive species distribution in data-poor regions: a review on challenges and opportunities

Variables Data sources References
Bioclimatic variables WorldClim database Buermann et al. (2008); Cord et al. (2014a, b); Feilhauer et al. (2012); Ng et al. (2018); Prates-Clark et al. (2008); Truong et al. (2017); Wakie et al. (2014)
Long term NDVI Landsat, MODIS, Airborne Digital Sensor Engler et al. (2013); Evangelista et al. (2008); Feilhauer et al. (2012); Ng et al. (2018); Shiferaw et al. (2019a); Shiferaw et al. (2019c); Wakie et al. (2014)
Long term EVI MODIS Cord et al. (2014a, b); Wakie et al (2014)
LAI MODIS Buermann et al. (2008); Engler et al. (2013); Prates-Clark et al. (2008); Saatchi et al. (2008)
Near-Infrared band Landsat, Airborne Digital Sensor Engler et al. (2013); Shiferaw et al. (2019a); Zimmermann et al. (2007)
Land cover Tuanmu and Jetz 2014 Truong et al. (2017); Tuanmu and Jetz (2014)
Vegetation density Tuanmu and Jetz 2014 Truong et al. (2017); Buermann et al. (2008)
Elevation SRTM, ASTER, GTOPO30 Bradley and Mustard (2006); Buermann et al. (2008); Ng et al. (2018); Prates-Clark et al. (2008); Saatchi et al. (2008); Shiferaw et al. (2019a); Truong et al. (2017)
Slope SRTM, ASTER Ng et al. (2018); Shiferaw et al. (2019a)
Distance from road Survey data Ng et al. (2018); Shiferaw et al. (2019a)
Distance from water SRTM Engler et al. (2013); Ng et al. (2018); Shiferaw et al. (2019a)
Distance to Village Landsat, Survey data Ng et al. (2018); Shiferaw et al. (2019a)