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 …

The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …

Efficient implementation of remote sensing image classification can facilitate the extraction of
spatiotemporal information for land use and land cover (LULC) classification. Mapping …

Improved access to remotely sensed imagery and time series algorithms in combination with
increased availability of cloud computing resources and platforms such as Google Earth …

Extensive studies have highlighted a need for frequently consistent land cover information
for interdisciplinary studies. This paper proposes a comprehensive framework for the …

The spatio-temporal pattern of vegetation disturbance by open-pit mining activities such as
the disturbance area and magnitude are important for coordinated development of surface …

This study aims to assess the potential of Sentinel-2 NDVI time series and Google Earth
Engine to detect small land-use/land-cover changes (at the pixel level) in fire-disturbed …

Coal mining has contributed to a solid and stable global economy. Surface mining and
underground mining are the principal methods for extraction of coal worldwide and given the …

The aim of this study was to assess the LULC changes over 26 years from 1995 to 2021 to
find the most changed land use conditions within the 25 km territory of the main river …

Understanding grassland habitat dynamics in space and time is crucial for evaluating the
effectiveness of protection measures and developing sustainable management practices …