In recent years, an increasing number of distribution maps of invasive alien plant species
(IAPS) have been published using different machine learning algorithms (MLAs). However …

Efficient prediction of the response of vegetation to future climate change requires an in
depth understanding of the effect of climate change on the land cover by photosynthetic (f …

Geospatial technologies such as GIS, remote sensing, and GNSS are transforming
landscape archaeology, particularly in research areas that are hard to access due to …

Accurate and efficient identification of the urban vegetation abundance is of great
importance for urban planning and management. A lot of efforts have been made to estimate …

Medium resolution satellite-derived fractional cover estimates of bare soil (f BS),
photosynthetic vegetation (f PV), and non-photosynthetic vegetation (f NPV) provide a …

Remotely sensed imagery at multiple spatial scales is used increasingly in conjunction with
field data to estimate rangeland indicators (eg, vegetation cover) and meet the growing need …

Fractional cover of photosynthetic vegetation (F PV), non-photosynthetic vegetation (F NPV),
and bare soil (F BS) has been retrieved for Australian tropical savannah based on linear …

Savanna ecosystems are geographically extensive and both ecologically and economically
important; they therefore require monitoring over large spatial extents. There are, in …

Due to the rapid urbanization and industrialization, urban agglomeration has become the
area with the most drastic and concentrated land use change. The research on the evolution …

Texas savanna experienced substantial woody plant encroachment during the past several
decades, resulting in habitat fragmentation and species loss. A detailed map of woody plant …