Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia

Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia

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Bibliographic Details
Main Author: Sodikin, Yuli Rahmawati
Format: Thesis
Published: 2007
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
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id my-utm-ep.5689
record_format uketd_dc
spelling my-utm-ep.56892013-12-13T08:24:31Z Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia 2007 Sodikin, Yuli Rahmawati TK Electrical engineering. Electronics Nuclear engineering 2007 Thesis http://eprints.utm.my/id/eprint/5689/ masters Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering Faculty of Geoinformation Science and Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Sodikin, Yuli Rahmawati
Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia
description
format Thesis
qualification_level Master's degree
author Sodikin, Yuli Rahmawati
author_facet Sodikin, Yuli Rahmawati
author_sort Sodikin, Yuli Rahmawati
title Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia
title_short Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia
title_full Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia
title_fullStr Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia
title_full_unstemmed Remote sensing satellite mission analysis for detection and monitoring of forest fire in Malaysia
title_sort remote sensing satellite mission analysis for detection and monitoring of forest fire in malaysia
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering
granting_department Faculty of Geoinformation Science and Engineering
publishDate 2007
_version_ 1747814605654065152

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