In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …

For both the positive economic benefit and the negative ecological impact of the rapid
expansion of oil palm plantations in tropical developing countries, it is significant to achieve …

The U-net is nowadays among the most popular deep learning algorithms for land use/land
cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar …

Tropical rainforests from the Brazilian Amazon are frequently degraded by logging, fire,
edge effects and minor unpaved roads. However, mapping the extent of degradation …

Deforestation remains a major concern with regard to climate change and the maintenance
of biodiversity. Meanwhile, the development of new image processing techniques and the …

In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps
(RTS), are becoming more abundant and dynamic, with serious implications for permafrost …

People have modified landscapes throughout the Holocene (the last c. 11,700 years) by
modifying soils, burning forests, cultivating and domesticating plants, and directly and …

The commercialization of Brazil nuts, seeds of Bertholletia excelsa Bonpl.(Lecythidaceae),
represents one of the main income-generation activities for local and indigenous people …

Spatially explicit information on urban tree species distribution is crucial for green
infrastructure management in cities. This information is usually acquired with ground-based …

Phoenix palms cover more than 1.3 million hectares in the Mediterranean, Middle East, and
North Africa regions and they represent highly valued assets for economic, environmental …