of CO 2 and other trace gases released into the atmosphere. The MGDI combines
LST and EVI data from the Aqua-MODIS sensor and detects and maps eventspecific disturbances based on anomalous changes in EVI and LST that exceed the
normal ranges of natural variability (Fig. 1.16). VI time series data have also been
used to predict potential invasive species habitats so that control or preventative
measures can be applied before irreversible changes occur. Using MODIS NDVI,
Franklin et al. (2006) studied the negative impacts of an invasive African grass
Fig. 1.14 a NDVI trends in the Sahel from 1981 to 2003. Yellow to red colors indicate areas of
significant change and gray areas show no significant trend, b comparisons of Sahel rainfall
anomaly index (RAI, 1930–2000) and NDVI anomaly index (NAI, 1981–2003). Adapted from
Anyamba and Tucker (2005), Copyright (2008), reprinted with permission from Elsevier
26
A. Huete et al.
LST and EVI data from the Aqua-MODIS sensor and detects and maps eventspecific disturbances based on anomalous changes in EVI and LST that exceed the
normal ranges of natural variability (Fig. 1.16). VI time series data have also been
used to predict potential invasive species habitats so that control or preventative
measures can be applied before irreversible changes occur. Using MODIS NDVI,
Franklin et al. (2006) studied the negative impacts of an invasive African grass
Fig. 1.14 a NDVI trends in the Sahel from 1981 to 2003. Yellow to red colors indicate areas of
significant change and gray areas show no significant trend, b comparisons of Sahel rainfall
anomaly index (RAI, 1930–2000) and NDVI anomaly index (NAI, 1981–2003). Adapted from
Anyamba and Tucker (2005), Copyright (2008), reprinted with permission from Elsevier
26
A. Huete et al.