Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Automatic land use/land cover (LULC) classification from very high resolution (VHR) remote
sensing images can provide us with rapid, large-scale, and fine-grained understanding of …

This study analyzes, through remote sensing techniques and innovative clouding services,
the recent land use dynamics in the North-Roman littoral zone, an area where the latest …

The use of spatially aware artificial intelligence in studying and monitoring Sustainable
Development Goals is examined in this chapter. Spatially aware AI incorporates spatial data …

The use of remote sensing to determine land-use and land-cover (LULC) dynamics is often
applied to assess the levels of natural forest conservation and monitor deforestation …

In the face of urban expansion, ensuring sustainable water consumption is paramount. This
study aims to develop a domestic water demand forecast model that considers population …

Negative consequences of urban growing disparities usually lead to impressive levels of
segregation, marginalization, and injustices, particularly in the context of climate change …

Urban growth leads to land use/land cover (LULC) changes, especially in develo**
countries. Knowledge of land transition, especially agricultural land, into the built-up region …

The current study investigates the relationship between urbanization, solid waste
generation, and environmental changes in Kota city from 2000 to 2023. The study employs …

Land-use/land cover maps constitute one of the key sources of information on urban space.
To address the problems associated with the lack of timely and detailed land-use maps, the …