Timely and accurate information about spatial distribution of tree species in urban areas
provides crucial data for sustainable urban development, management and planning. Very …

High spatial resolution (HSR) imagery and high density LiDAR data provide complementary
horizontal and vertical information. Therefore, many studies have focused on fusing the two …

For a long time, the idea of fusing synthetic radar imagery (SAR) and higher-resolution
panchromatic imagery, with the aim of increasing the spatial resolution of radar imagery, has …

Object-based image analysis (OBIA) has been widely used to classify high spatial resolution
(HSR) imagery. In a traditional OBIA, object-level statistical summaries such as mean values …

The availability of very high resolution (VHR) satellite images has made the analysis of
remotely sensed data an increasingly effective tool for the extraction of urban building …

Rotational grazing in paddocks is a strong indicator of intensive grassland management.
Uncertainty in the extent of grassland management intensity is a reported source of …

Object-based image analysis (OBIA), which has been commonly used for land cover and
land use classification, may encounter challenges when satellite images' spatial resolution …

When object-based analysis is applied to very high-resolution imagery, pixels within the
segments reveal large spectral inhomogeneity; their distribution can be considered complex …

The latest improvement of sensor resolutions has led to the emergence of various big
remote sensing data, which provides great potentials for extracting valuable geospatial …

The rapid expansion of cities and continuous urban population growth underscores a need
for sustainable urban development. Sustainable development is that which addresses …