Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …

It is challenging to accurately and rapidly extract crops based on the ultra-high spatial
resolution images of uncrewed aerial vehicle (UAV). Object-based image analysis (OBIA) …

Land use/land cover (LULC) changes can occur naturally or due to human activities. In this
study, the maximum likelihood algorithm (MLH) and machine learning (random forest …

The present work reveals the potential of Landsat 8 and ASTER imagery in the lithological
discrimination and structural lineaments extraction in the Tiwit region (Jbel Saghro). Various …

Crop discrimination helps monitor crops and strengthen the agricultural industry to secure
food supplies. From existing crop-related studies and observations, found that vegetative …

Urban areas are increasing since several years as a result of development of built-up areas,
network infrastructure, industrial areas or other built-up areas. This urban sprawl has a …

The use of remote sensing to map land cover and changes in land use has proven to be a
practical, reliable, and accessible approach. These images provide precise details about the …

Abstract The Ayapel Wetland Complex (AWC) is part of the so-called Momposina
Depression, one of the largest alluvial plains in South America and a strategic ecosystem for …

Multi-spectral satellite imagery is an ideal data source for comprehensive, real-time Earth
observation (EO) due to its extensive coverage of Earth and regular updates. It has a wide …

Melanoma is widely recognized as one of the most lethal forms of skin cancer, with its
incidence showing an upward trend in recent years. Nonetheless, the timely detection of this …