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 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.