Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis
(GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote …

Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …

The amount of scientific literature on (Geographic) Object-based Image Analysis–GEOBIA
has been and still is sharply increasing. These approaches to analysing imagery have …

The spatio-temporal pattern of biophysical composition significantly affects land surface
temperature (LST). Previous studies, however, mostly characterized urban heat island (UHI) …

The study of mass and energy transfer across landscapes has recently evolved to
comprehensive considerations acknowledging the role of biota and humans as geomorphic …

Landscape pattern is spatially correlated and scale-dependent. Thus, understanding
landscape structure and functioning requires multiscale information, and scaling functions …

In this paper, we evaluate the capability of the high spatial resolution airborne Digital
Airborne Imaging System (DAIS) imagery for detailed vegetation classification at the alliance …

Impacts of human civilization on ecosystems threaten global biodiversity. In a changing
environment, traditional in situ approaches to biodiversity monitoring have made significant …

Environmental heterogeneity is considered to be one of the main factors associated with
biodiversity given that areas with highly heterogeneous environments can host more …

Of particular importance to the study of large-scale phenomena in physical geography is the
modifiable areal unit problem (MAUP). While often viewed as only a problem in human …