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

In using traditional digital classification algorithms, a researcher typically encounters serious
issues in identifying urban land cover classes employing high resolution data. A normal …

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

Texture measurements quantitatively describe relationships of DN values of neighbouring
pixels. The output is a continuous measure of spatial information that may be used for further …

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 …

Wetland vegetation aboveground biomass (AGB) directly indicates wetland ecosystem
health and is critical for water purification, carbon cycle, and biodiversity conservation …

The global availability of high spatial resolution images makes mapping tree species
distribution possible for better management of forest resources. Previous research mainly …

On the basis of canopy height variables, vegetation index, texture index, and laser point
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …

As remote sensing data and methods have become increasingly complex and varied-and
increasingly reliable-so have their uses in forest management. New algorithms have been …

Sunflower lodging is a common agricultural disorder taking place in the middle and late
sunflower growth periods. This disorder reduces the sunflower seed yield, damages the …