This paper introduces the Input Amplification (InAmp) module, a deep learning (DL)
innovation designed to enable DL models to automatically learn class-specific spectral …

The urban heat island (UHI) effect has become a significant focus of research in today's era
of climate change, and a key consideration for the next generation of urban planning …

Nighttime light image (NTL) is an effective data for urban built-up area. Due to the
shortcomings of low resolution and the blooming effect of NTL, the extraction result of the …

The availability of land in Bandung City become a challenge for urban development.
Bandung has long been an urbanization destination for Indonesians besides Jakarta …

Remote sensing techniques are widely used to detect and analyze land cover changes due
to their accuracy and cost-effectiveness. Among the various spectral indices derived from the …

Classifying land use and land cover (LULC) is essential for various environmental
monitoring and geospatial analysis applications. This research focuses on land …

The complexity of surface characteristics in rural areas poses challenges for accurate
extraction of built-up areas from remote sensing images. The Artificial Surface Index (ASI) …

Dünyada hızlı bir kentleşme yaşanmakta ve kentleşme süreciyle birlikte önemli miktarda
doğal alan geçirimsiz yüzeylere dönüşmektedir. Kentsel alanlarda geçirimsiz yüzeylerin …

This study examines Islamabad's landscape changes over four decades, attributing land
degradation to shifts in land use and cover. Using Landsat imagery from 1980 to 2023, it …

The growth dynamics of urban areas and the increase in land requirements are a series of
each other influence each other The method used in this study is a quantitative method …