The karst region in southwestern China, one of the largest continuous karst areas in the
world, is special for its high landscape heterogeneity, unique hydrology, high endemism …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

This paper discusses the application and adaptation of two existing operational algorithms
for land surface emissivity (ε) retrieval from different operational satellite/airborne sensors …

With rapid urban growth in recent years, understanding urban biophysical composition and
dynamics becomes an important research topic. Remote sensing technologies introduce a …

We compared a set of methods for estimating fractional green vegetation cover (fc) over a∼
4000 km2 region of central New Mexico, USA. The models used were trained and tested …

Predicting land surface energy budgets requires precise information of land surface
emissivity (LSE) and land surface temperature (LST). LST is one of the essential climate …

Shrub encroachment into arid and semi-arid grasslands has elicited extensive research
attention worldwide under the background of climate change and increasing anthropogenic …

Semiarid Mediterranean regions are highly susceptible to desertification processes. This
study investigated the influence of increasing climate aridity in explaining the decline in …

In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC)
retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the …

Spectral mixture analysis is a widely used method to determine the sub‐pixel abundance of
vegetation, soils and other spectrally distinct materials that fundamentally contribute to the …