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

Environmental Systems Research

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

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)