Extracting Nature Areas Using Object Oriented Analysis | Remote Sensing for Environmental Monitoring

Lalitya Narieswari

ISBN 10: 3659246999 / ISBN 13: 9783659246999

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

Extracting Nature Areas Using Object Oriented Analysis | Remote Sensing for Environmental Monitoring | Lalitya Narieswari | Taschenbuch | 64 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659246999 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106209065

Bibliographic Details

• Title: Extracting Nature Areas Using Object Oriented Analysis | Remote Sensing for Environmental Monitoring
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659246999
• ISBN 13: 9783659246999
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 113 grams
• Seller catalogs:
  • Bücher

About this title

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.

About the Author

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.