Rapid and uncontrolled population growth along with economic and industrial development,
especially in develo** countries during the late twentieth and early twenty-first centuries …

Interest in statistical analysis of remote sensing data to produce measurements of
environment, agriculture, and sustainable development is established and continues to …

New remote sensing sensors will acquire High spectral, spatial and temporal Resolution
Satellite Image Time Series (HR-SITS). These new data are of great interest to map land …

Groundwater occurrence in semi-arid regions is variable in space and time due to climate
patterns, terrain features, and aquifer properties. Thus, accurate delineation of Groundwater …

The concerns over land use/land cover (LULC) change have emerged on the global stage
due to the realisation that changes occurring on the land surface also influence climate …

Supervised classification systems used for land cover map** require accurate reference
databases. These reference data come generally from different sources such as field …

This study aimed at evaluating the synergistic use of Sentinel-1 and Sentinel-2 data
combined with the Support Vector Machines (SVMs) machine learning classifier for map** …

The coastal landuse and land cover features in the South West coast of Kanyakumari are
dynamically regulated due to marine and terrestrial processes and often controlling by …

The objective of the present study is to monitor reclamation activity in mining areas.
Monitoring of these reclaimed sites in the vicinity of mining areas and on closed Over …

Shoreline analysis in response to the rapid erosion of sandy beaches has evolved along
with geospatial and computer technology; it remains an essential task for sustainable …