This study aims to develop a software framework for modeling of tsunami vulnerability using
DEM and Sentinel 2 images. The stages of study, are: 1) extraction Sentinel 2 images using …

This research aims to develop new methods of mapping aridity risk zones and their potential
impacts on land fires using a combination of indices to identify land fires such as the CSI and …

This study aims to develop a software framework for predicting aridity using vegetation
indices (VI) from LANDSAT 8 OLI images. VI data are predicted using machine learning (ml) …

Spectral indices are algorithms performed to improve the signal of certain features, such as
vegetation, water and soil in satellite images. The objective of this work was to utilize the …

Abstract The use of Local Area Coverage (LAC) data from Ocean Color Monitor (OCM)
sensor of Oceansat-2 with its high radiometric resolution (12 bits/pixel) and 2-day repeat …

Developing applications for analyzing and processing different remotely sensed data is very
important for environmental predictions and management strategies. Applications focusing …

Vegetation indices are widely used for global monitoring of vegetation conditions and are
used in products displaying land cover and their changes. Normalized Difference Vegetation …

Spatial data models are complex and huge for large geographical area and high resolution.
The management, the processing, and the visualization of such extensive models require …

In this study, we discuss a technique to determine the correlation between various
environmental factors affecting malaria transmission and the possibility for application of …

Abstract The use of Local Area Coverage (LAC) data from Ocean Color Monitor (OCM)
sensor of Oceansat-2 with its high radiometric resolution (12 bits/pixel) and 2-day repeat …