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 …

Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Land-use/land cover change (LUCC) is an important problem in develo** and under-
develo** countries with regard to global climatic changes and urban morphological …

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 …

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 …

In the Mediterranean area, rural abandonment and the rapid urbanisation after the 1950׳ s
have led to complex environmental problems, such as the exploitation of natural resources …

Forests are the most widely distributed ecosystem on the earth, affecting the lives of most
humans daily, either as an economic good or an environmental regulator. As forests are a …

Abstract Characterization of ecosystem structure, diversity, and function is increasingly
desired at finer spatial and temporal scales than have been derived in the past. Many …