Monitoring and Detection of Hotspots using Satellite Images

Nowadays, the usage of optical remote sensing NOAA-AVHRR satellite data is getting familiar as it is known can save cost in order to capture a wide coverage of ground image. The captured images are meaningful after several processes done over it to produce hotspot detection. Developing a specific...

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Main Author: Mohamad Yusof, Juliana
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.7227 /
Published: Universiti Teknologi Petronas 2006
Subjects:
ZA Information resources
Online Access: http://utpedia.utp.edu.my/7227/1/2006%20-%20Monitoring%20and%20Detection%20of%20Hotspots%20using%20Satellite%20Images.pdf
http://utpedia.utp.edu.my/7227/
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spelling utp-utpedia.72272021-07-27T15:40:46Z http://utpedia.utp.edu.my/7227/ Monitoring and Detection of Hotspots using Satellite Images Mohamad Yusof, Juliana ZA Information resources Nowadays, the usage of optical remote sensing NOAA-AVHRR satellite data is getting familiar as it is known can save cost in order to capture a wide coverage of ground image. The captured images are meaningful after several processes done over it to produce hotspot detection. Developing a specific database to store information of Hotspots (LAC images) would make datamanagement and archiving purpose in more efficient and systematic way. Real-time data gathered are monitored countries such as Malaysia, Thailand, Singapore, Indonesia and Brunei within the region of NOAA Satellite coverage area. PostGIS, PostgreSQL, Mapserver and Autodesk MapGuide Studio software are to be studied as a guide to develop a system with simple database using object-relational database management system to store raster and vector images. This paper describes a solution for efficient handling of large raster image data sets in a standard object-relational database management system. By means of adequate indexing, retrieval techniques and multi resolution cell indexing (Quad-Tree) can be achieved using a standard DBMS, even for very large satellite images. Single image will be divided equally into 64 small squares (3 levels of image hierarchy - each level has 4 sub images of the higher image). Partial information of Daily Haze report (processed Hotspot on image map) produces by NREB can be viewed using web-based application. The final product of this project is a web-based application for displaying Hotspots on maps (combination of raster and vector images) with the ability to search record from database and functions to zoom in or zoom out the map. The objective of this paper is also to show the way satellite images and descriptive information are combined and amalgamated to form an Internet or Intranet application. Universiti Teknologi Petronas 2006-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/7227/1/2006%20-%20Monitoring%20and%20Detection%20of%20Hotspots%20using%20Satellite%20Images.pdf Mohamad Yusof, Juliana (2006) Monitoring and Detection of Hotspots using Satellite Images. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic ZA Information resources
spellingShingle ZA Information resources
Mohamad Yusof, Juliana
Monitoring and Detection of Hotspots using Satellite Images
description Nowadays, the usage of optical remote sensing NOAA-AVHRR satellite data is getting familiar as it is known can save cost in order to capture a wide coverage of ground image. The captured images are meaningful after several processes done over it to produce hotspot detection. Developing a specific database to store information of Hotspots (LAC images) would make datamanagement and archiving purpose in more efficient and systematic way. Real-time data gathered are monitored countries such as Malaysia, Thailand, Singapore, Indonesia and Brunei within the region of NOAA Satellite coverage area. PostGIS, PostgreSQL, Mapserver and Autodesk MapGuide Studio software are to be studied as a guide to develop a system with simple database using object-relational database management system to store raster and vector images. This paper describes a solution for efficient handling of large raster image data sets in a standard object-relational database management system. By means of adequate indexing, retrieval techniques and multi resolution cell indexing (Quad-Tree) can be achieved using a standard DBMS, even for very large satellite images. Single image will be divided equally into 64 small squares (3 levels of image hierarchy - each level has 4 sub images of the higher image). Partial information of Daily Haze report (processed Hotspot on image map) produces by NREB can be viewed using web-based application. The final product of this project is a web-based application for displaying Hotspots on maps (combination of raster and vector images) with the ability to search record from database and functions to zoom in or zoom out the map. The objective of this paper is also to show the way satellite images and descriptive information are combined and amalgamated to form an Internet or Intranet application.
format Final Year Project
author Mohamad Yusof, Juliana
author_sort Mohamad Yusof, Juliana
title Monitoring and Detection of Hotspots using Satellite Images
title_short Monitoring and Detection of Hotspots using Satellite Images
title_full Monitoring and Detection of Hotspots using Satellite Images
title_fullStr Monitoring and Detection of Hotspots using Satellite Images
title_full_unstemmed Monitoring and Detection of Hotspots using Satellite Images
title_sort monitoring and detection of hotspots using satellite images
publisher Universiti Teknologi Petronas
publishDate 2006
url http://utpedia.utp.edu.my/7227/1/2006%20-%20Monitoring%20and%20Detection%20of%20Hotspots%20using%20Satellite%20Images.pdf
http://utpedia.utp.edu.my/7227/
_version_ 1741194933909323776
score 11.62408

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