In a digitalized era and with the rapid growth of computational skills and advancements,
artificial intelligence and Machine Learning uses in various applications are gaining a rising …

Existing forest biomass stock maps show discrepancies with in-situ observations in Mexico.
Ground data from the National Forest and Soil Inventory of Mexico (INFyS) were used to …

Conservation areas are facing increasing threats from anthropogenic land use activities. It is
important to reasonably recognize and predict suspected illegal land development in …

Abstract The Kilombero floodplain in Tanzania is one of the largest wetlands in Africa and at
the same time one of the focus regions for agricultural production of the Tanzanian …

We used correlative models with species occurrence points, Moderate Resolution Imaging
Spectroradiometer (MODIS) vegetation indices, and topo-climatic predictors to map the …

Hyperspectral image classification (HSIC) faces three major challenging issues, which are
generally overlooked. One is how to address the background (BKG) issue due to its …

Coastal regions are one of the most vulnerable areas to the effects of global warming, which
is accompanied by an increase in mean sea level and changing shoreline configurations. In …

In the last 50 years intensification of agricultural land use systems drastically reduced
extensively used grassland areas. These areas are of high ecological value due to high …

Land-cover change, a major driver of the distribution and functioning of ecosystems, is
characterized by a high diversity of patterns of change across space and time. Thus, a large …

Spartina alterniflora (S. alterniflora) is one of the worst plant invaders in the coastal wetlands
of China. Accurate and repeatable mapping of S. alterniflora invasion is essential to develop …