The effect of landslide and its consequences always impact negatively on the inhabitants of a certain region or zone. The overall damage of socioeconomic structure and loss of human lives always a matter of concern. Numerous approaches of landslide susceptibility mapping, hazard analysis have been developed and in most cases remote sensing, Geographical Information System (GIS) remains the core...

This paper describes a workflow for the DEM extraction from unrectified satellite stereo scenes, its visualization and integration in GIS environment. The results obtained using a stereo scene acquired by EOS-AM1/ASTER over Switzerland are presented and commented. The images are oriented with a rigorous photogrammetric model for CCD linear array sensors developed at IGP (ETH Zurich). The model ...

Urban places represent built environments that are physically distinguishable from the natural environment, and are thus potentially identifiable through the use of remotely-sensed sources such as satellite images. The urban environment can be defined by classifying images and then combining that information with census data to create a quantitative index of the urban-rural continuum. This is b...

The large number of data sources on the Internet can be used to augment and verify the accuracy of geospatial sources, such as gazetteers and annotated satellite imagery. Data sources such as satellite imagery, maps, gazetteers and vector data have been traditionally used in geographic information systems (GIS), but nontraditional geospatial data, such as online phone books and property records...

Achieving a fossil-resources-free power supply requires an exploration of alternative, renewable energy sources. Over the last years, biomass has become an important component of this endeavour and its consumption is rising steadily. Common sources of biomass are agricultural production and forestry but the production of these sources is stagnating due to limited space. To explore new sources o...

Today different satellites provide imagery with high potentials for applications in various fields of geomatics (e.g. DTM extraction, topographic mapping, GIS applications, Cultural Heritage documentation). The ground resolution of the satellite scenes is constantly increasing and the scenes can be acquired world-wide in different radiometric modes. In this contribution we present the modeling ...

The recent experiences in the 2004 Sumatra earthquake and tsunami showed the efficiency of remote sensing techniques in quick damage mapping and recovery efforts. A variety of satellite images at different resolutions provided different aspects of information about the affected zones. After remotely sensed images are acquired, choosing a suitable image analysis method is a critical requirement....

The major aim of processing satellite images is to prepare topical and effectivemaps. The selection of appropriate classification methods plays an important role. Amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. In present study, TM images of 1987, and ETM+ images of 2000 and 2006were analyzed using artificial fuzzy ARTMAP neural netwo...

Estimation of plant dry matter to management of rangelands fast as well as high accuracy is important for managers. Research aims to compare Plant Dry Matter Productivity (PDMP) values estimated by Normalized Difference Vegetation Index (NDVI) derived from satellite images BKA, KVA according to different levels of satellite image processing, for AL-Sweeda Badia (Syria), during the April, July o...