Περιβαλλοντικές εφαρμογές με λογισμικά ανοικτού κώδικα
Environmental applications using open source software
This dissertation seeks free evaluation software for processing satellite data and to extract useful environmental information. The first case concerns the free software and Beam Visat Eoli-sa for analyzing vegetation burnt forest area of Parnitha, with satellite data Meris satellite system Envisat, calculating the vegetation index NDVI during 2007-2011. Satellite images are retrieved from the internet and more specifically from the website https://oa-es.eo.esa.int/ra/ (website for downloading satellite images of various types) in combination with software Eoli-sa 7.22 and the treatment was with software Beam Visat 4.9. In the second case evaluated free software Quantum GIS in conjunction with the GUI Monteverdi Orfeo Toolbox library for the analysis of satellite images Ikonos high-resolution analysis, pictures and images Lidar DEM - Digital Terrain Model in order to classify land uses and identify the urban green area of Filopapou in Attica. The study area extends in Attica between Kallithea Municipality and the Municipality of Athens. The aim is to develop methodology and application, investigation and classification of land cover cases reflected in the available images, for the automated identification of urban green space and creating a sequence of processes that are flexible and applicable in different situations. The process of remote sensing data processing and object-oriented image analysis is done with free software Quantum Gis and OTB Monteverdi. The Quantum GIS (QGIS) is an open source GIS software, user-friendly, which can be viewed, management, processing, analysis and synthesis of images that are in raster / grid files (raster) or vector files (vector). The GUI library Monteverdi CTB provides sorting objects using techniques of supervised and unsupervised classification, feasibility object model work for the automatic classification categories, ability to use multiple satellite data of different spatial and radiometric resolution in single interface for simultaneous processing, possibility of enhancing images using techniques for transforming histogram, channel operations and mathematical transformations.