The use of remote sensing data for tree species classification in tropical forests is still a
challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors …

Advances in remote sensing (RS) technology in recent years have increased the interest in
including RS data into one-class classifiers (OCCs). However, this integration is complex …

Remote identification and mapping of canopy tree species can contribute valuable
information towards our understanding of ecosystem biodiversity and function over large …

Rice is an important food crop and a large producer of green-house relevant methane.
Accurate and timely maps of paddy fields are most important in the context of food security …

Winter wheat is one of the most important staple crops in the world. Accurate and timely
information on the spatial distribution and temporal change of winter wheat is critical for food …

Mapping species through classification of imaging spectroscopy data is facilitating research
to understand tree species distributions at increasingly greater spatial scales. Classification …

Eucalyptus spp. and Acacia mearnsii are common exotic tree species in eastern Africa that
have shown (strong) invasive behavior in some regions. Acacia mearnsii is considered a …

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 …

Remote sensing of individual tree species has many applications in resource management,
biodiversity assessment, and conservation. Airborne remote sensing using light detection …

Mapping a specific tree species at individual tree level across landscapes using remote
sensing is challenging, especially in forests where co-occurring tree species exhibit similar …