The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …

Recent technological advances in remote sensing sensors and platforms, such as high-
resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of …

In precision agriculture, detecting the vegetation in herbaceous crops in early season is a
first and crucial step prior to addressing further objectives such as counting plants for …

The spatial resolution of imaging sensors has increased dramatically in recent years, and so
too have the challenges associated with extracting meaningful information from their data …

Abstract Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high
resolution remote sensing data for assessing the spatial distribution of species composition …

Image classification is a complex process affected by some uncertainties and decisions
made by the researchers. The accuracy achieved by a supervised classification is largely …

This study aimed to compare and assess different Geographic Object-Based Image Analysis
(GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) …

The use of remote-sensing technology to study violent conflict has increased considerably
over the last 5–10 years. This article surveys this growing field to show which conflict-related …

In the task of using deep learning semantic segmentation model to extract water from high-
resolution remote sensing images, multiscale feature sensing and extraction have become …