Extracting Nature Areas Using Object Oriented Analysis: Remote Sensing for Environmental Monitoring - Couverture souple

Narieswari, Lalitya

 
9783659246999: Extracting Nature Areas Using Object Oriented Analysis: Remote Sensing for Environmental Monitoring
Couverture souple
ISBN 10 : 3659246999 ISBN 13 : 9783659246999
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

A so-called non-intervention management scheme has been adopted in a large part of the nature areas. This means that natural processes like storm, grazing, climate, succession and diseases are allowed to occur and become a dominant factor that changes the structure and ecosystem in the area. There is a need to monitor how the applied management influences the environment and the habitat of the nature area. This study focuses on developing an approach to extract the different types of land cover which characterize the nature areas in the study area based on object oriented analysis using aerial photographs. Three subset areas were chosen and considered as representative areas. The study aimed to create a rule set transferable to other datasets to enable automatic monitoring. Using Definiens Developer, segmentation and classification were undertaken at 2 levels to create a hierarchical image object. The validation was assessed by comparing the result of the computer-based segmentation with a reference segmentation generated by visual interpretation.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

A so-called non-intervention management scheme has been adopted in a large part of the nature areas. This means that natural processes like storm, grazing, climate, succession and diseases are allowed to occur and become a dominant factor that changes the structure and ecosystem in the area. There is a need to monitor how the applied management influences the environment and the habitat of the nature area. This study focuses on developing an approach to extract the different types of land cover which characterize the nature areas in the study area based on object oriented analysis using aerial photographs. Three subset areas were chosen and considered as representative areas. The study aimed to create a rule set transferable to other datasets to enable automatic monitoring. Using Definiens Developer, segmentation and classification were undertaken at 2 levels to create a hierarchical image object. The validation was assessed by comparing the result of the computer-based segmentation with a reference segmentation generated by visual interpretation.

Biographie de l'auteur

Lalitya Narieswari is a researcher in Geospatial Information Agency (BIG) Republic of Indonesia since 2003. Her professional activities are related to GIS and Remote Sensing application for environmental monitoring.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659246999
ISBN 13 
9783659246999
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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