ABSTRACT
The main objective of this chapter is to introduce how data fusion can be used to generate better satellite images with high spatial and temporal resolution in support of multitemporal change detection of land use and land cover using two biophysical models. These two biophysical models are the Tasseled Cap Transformation (TCT) and the Normalized Difference Vegetation Index (NDVI). These models were used to evaluate the relative impact of Hurricane Sandy on the selected coastal watershed in the northeastern region of the United States of America through comparison, interpretation, and data analysis. With the fused images from Landsat and Moderate-Resolution Imaging Spectroradiometer (MODIS), this study presents closer observations for multitemporal change detection through the image processing techniques described below:
Processing techniques for data fusion based on the Landsat and MODIS satellite images to generate fused images in support of the derivation of TCT and NDVI
Processing techniques for the TCT to generate the greenness, brightness, and wetness images for comparison against the false color composite images for change detection
Processing techniques for the NDVI that involve the use of red and infrared bands for information fusion to echo the TCT analysis
This study aims to prove that Hurricane Sandy reshaped the landscape and changed the land cover at a coastal watershed in New Jersey where the hurricane's landfall occurred on October 29, 2012.
