Global data on settlements, built-up land and population distributions are becoming
increasingly available and represent important inputs to a better understanding of key …

Mixture tuned matched filtering (MTMF) image classification capitalizes on the increasing
spectral and spatial resolutions of available hyperspectral image data to identify the …

Remote-sensing images of high spatial resolution (HSR) are valuable sources of fine-
grained spatial information for various applications, such as urban surveys and governance …

The error matrix has been adopted as both the “de facto” and the “de jure” standard way to
report on the thematic accuracy assessment of any remotely sensed data product. This …

In typical accuracy assessments of cartographic products and remote sensing-based spatial
data, uncertainty is often quantified using overall accuracy measures. Even though stratified …

Landscape metrics (LM) play a crucial role in fields such as urban planning, ecology, and
environmental research, providing insights into the ecological and functional dynamics of …

Privately owned rangelands in the western US support many ecosystem services and are
threatened by financial incentives favoring conversion to housing development and more …