In this paper, we demonstrate the concepts of a prototype of a knowledge-driven content-based
information mining system produced to manage and explore large volumes of remote …

Automatic interpretation of remote-sensing (RS) images and the growing interest for query by
image content from large remote-sensing image archives rely on the ability and robustness …

The authors present a concept of interactive learning and probabilistic retrieval of user-specific
cover types in a content-based remote sensing image archive. A cover type is …

For pt.I see ibid., p.1431-45 (1998). The authors present Gibbs-Markov random field (GMRF)
models as a powerful and robust descriptor of spatial information in typical remote-sensing …

The progress in information retrieval, computer vision, and image analysis makes it possible
to establish very complete bases of algorithms and operators. A specialist in remote sensing …

Initially, the role of snow and ice in the global water balance is assessed and methods of
snow measurements are explained. Remote sensing is dealt with with regard to periodical …

We present an intelligent satellite information mining system, a next generation architecture
to help a user to rapidly gather information about courses of action, a tool to add value and to …

The runoff regime in the basins of the rivers Ganges (917’444 km 2) and Brahmaputra (547’346
km 2) is modelled from precipitation, remotely sensed snow covered areas and …

Runoff in glacierized alpine basins results from both seasonal snow cover and glacier melt.
In this paper we present a case study for an improved runoff modelling of the basin Massa‐…

Snow-cover mapping is a prerequisite for deriving the main input variable for a deterministic
snowmelt runoff model (SRM). Operational forecasting of snowmelt runoff has to rely on "…