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dc.contributor.authorDr.Kaddar, Bachir-
dc.date.accessioned2024-12-10T09:11:34Z-
dc.date.available2024-12-10T09:11:34Z-
dc.date.issued2024-
dc.identifier.urihttp://dspace.univ-tiaret.dz:80/handle/123456789/15713-
dc.description.abstractIn recent decades, remote sensing and Geographic Information System (GIS) technology have been successfully used in a wide range of applications thanks to important advances in the integration of remote imagery, computer processing, and spatial analysis technologies. This manuscript provides a general introduction to remote sensing imagery and the capabilities of GIS technology for data analysis. The goal is to show the potential of an integration of these tools and technologies in the field of spatial data modeling, such as resource management and environmental monitoring. This manuscript is divided into five distinct chapters, namely: o Chapter I provides an introduction to the fundamental concepts of remote sensing data acquisition. It also explores different types of platforms and sensors and their resulting remote sensing applications. o Chapter II considers the properties and characteristics of digital remotely sensed imagery. It describes some image fusion techniques that assist satellite image interpretation. o Chapter III looks at the various image processing techniques that are commonly used for remote sensing image analysis and interpretation, including preprocessing, transformation, and correction methods. o Chapter IV provides a general introduction to Geographic Information System (GIS) including basic concepts and examples of its applications. o Chapter V provides a step-by-step guide to the most important GIS software « ArcGIS » with their technical characteristicsen_US
dc.language.isoenen_US
dc.publisherUniversité Ibn Khaldoun -Tiaret-en_US
dc.subjectremote sensing , GIS , stelite imange , image classificationen_US
dc.titlebasics Principles of Remote Sensing and GISen_US
dc.title.alternativedestiné aux étudiants 1ere anneés master Agriculture de précisionen_US
dc.typeLearning Objecten_US
Collection(s) :دروس ومحاضرات كلية العلوم الطبيعة و الحياة

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