Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

The growing population and effect of climate change have put a huge responsibility on the
agriculture sector to increase food-grain production and productivity. In most of the countries …

Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …

Land use and land cover maps provide fundamental information that has been used in
different types of studies, ranging from public health to carbon cycling. However, the existing …

Rapid technological advances in airborne hyperspectral and lidar systems paved the way
for using machine learning algorithms to map urban environments. Both hyperspectral and …

The evolution of harvesting tools and equipment for horticultural crops has significantly
shaped agricultural practices over time. This review paper provides a comprehensive …

News media always pursue informing the public at large. It is impossible to overestimate the
significance of understanding the semantics of news coverage. Traditionally, a news text is …

Recently, unmanned aerial vehicles (UAVs) have been used in several applications of
environmental modeling and land use inventories. At the same time, the computer vision …

Land use and land cover (LULC) information is a fundamental component of environmental
research relating to urban planning, agricultural sustainability, and natural hazards …

Accurate land cover (LC) classification plays an important role in ecosystem protection,
climate changes, and urban planning. The airborne multispectral LiDAR data are …