Remotely sensed imagery identifying as the best type of data has information throughout the
world. The imagery has a importance information, since it can show up-date-to day …

Adopting a low spatial resolution remote sensing imagery to get an accurate estimation of
Land Use Land Cover is a difficult task to perform. Image fusion plays a big role to map the …

Remote sensing has become a central factor in approaches to managing natural resources
and observing environmental fluctuations. Urban development has brought severe losses of …

This study employed soft computing techniques, namely, support vector machine (SVM) and
Gaussian process regression (GPR) techniques, to predict the properties of a scour hole …

In this research support vector machine (SVM) method apply to classify the satellite image
and produce land use and land cover (LULC) map. The used data is the multispectral …

To prevent losing water resources and wetlands, and conserve existing wetlands ecosystem
for ecosystem and biodiversity services, good, wetlands habitats forstart any sustainable …

Change detection processes using remote sensing and Geographic Information System
(GIS) techniques were applied to monitor and estimate the water volume in the Mosul Dam …

The scale-invariant feature transform (SIFT) ability to automatic control points (CPs)
extraction is very well known on remote sensing images, however, its result inaccurate and …

Urban land-cover change is increasing dramatically in most emerging countries. In Iraq and
in the capital city (Baghdad). Active socioeconomic progress and political stability have …

Landslides significantly threaten infrastructure and human lives, highlighting the need for
effective landslide susceptibility map**. This research focuses on creating a map showing …