Mapping land-cover/land-use (LCLU) and estimating forest biomass using satellite images
is a challenge given the diversity of sensors available and the heterogeneity of forests …

Despite utilizing various remote sensing datasets, precise tree-cutting detection remains
challenging due to spatial and spectral resolution constraints in satellite imagery, complex …

Over the last several decades, thanks to improvements in and the diversification of open-
access satellite imagery, land cover mapping techniques have evolved significantly. Notable …

Wildfire risk has globally increased during the past few years due to several factors. An
efficient and fast response to wildfires is extremely important to reduce the damaging effect …

Our planet Earth comprises distinguished topologies based on temperature, location,
latitude, longitude, and altitude, which can be captured using Remote Sensing Satellites. In …

This study has developed a CNN model applied to classify the eight classes of land cover
through satellite images. Early detection of deforestation has become one of the study's …

Land cover is an important factor in geographic analysis, ranging from physical geography
studies, approaches to sustainable planning to environmental analysis. Vegetation analysis …

Wildfires are a recurring concern in several regions around the globe, often leading to
catastrophic outcomes. The increasing accessibility of small satellites operating in Low Earth …

Potential capabilities of the multispectral optical reflectometry method with use of an optical
locator for optical monitoring of forests have been analysed. Mathematical modelling and …

Kerapatan vegetasi penting untuk dibedakan guna mengetahui penggunaan lahan dan
degradasi lahan. Menurut Standar Nasional Indonesia (SNI 7645: 2014), vegetasi …