Forest degradation affects forest structure, composition and diversity, carbon stocks,
functionality and ecosystem processes. It is known to contribute significantly to global carbon …

Remote sensing multi-decadal time-series provide important information for analysing long-
term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has …

Land cover mapping is fundamental for national and international agencies to monitor forest
resources. However, monitoring forest disturbances by direct comparison of these maps …

Time series analysis has gained popularity in forest disturbance monitoring thanks to the
availability of satellite and airborne remote sensing images and the development of different …

Many models for change point detection from time series remote sensing images have been
developed to date. For forest ecosystems, fire disturbance detection models have always …

The present paper aims to highlight the impact of the partial or total drying of the Nuntași
and Tuzla lakes (from the Danube Delta Biosphere Reserve) as a result of intense drought …

This study explored the utilization of rotation forests (RTF) and extreme gradient boosting
(XGBoost) machine learning algorithms (MLAs) to classify drought damage in commercial …

Detecting disturbances in native vegetation is a crucial component of many environmental
management strategies, and remote sensing-based methods are the most efficient way to …

Vegetation index time-series analysis of multitemporal satellite data is widely used to study
vegetation dynamics in the present climate change era. This paper proposes a systematic …

While it is crucial to monitor the spatio-temporal dynamics of forests at the subpixel scale,
most available nonlinear methods are used to predict forest cover fraction maps only at the …