Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …

Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Accurate information regarding forest tree species composition is useful for a wide range of
applications, both for forest management and scientific research. Remote sensing is an …

A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …

The Sentinel-2 program provides the opportunity to monitor terrestrial ecosystems with a
high temporal and spectral resolution. In this study, a multi-temporal Sentinel-2 data set was …

Land cover monitoring using remotely sensed data requires robust classification methods
which allow for the accurate map** of complex land cover and land use categories …

A Random Forest (RF) classifier was applied to spectral as well as mono-and multi-seasonal
textural features extracted from Landsat TM imagery to increase the accuracy of land cover …

Fan**gshan National Nature Reserve (FNNR) is a biodiversity hotspot in China that is part
of a larger, multi-use landscape where farming, grazing, tourism, and other human activities …

The importance of accurate and timely information describing the nature and extent of land
resources and changes over time is increasing, especially in rapidly growing metropolitan …

Urban tree species classification is a challenging task due to spectral and spatial diversity
within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor …