UPM Institutional Repository

Near Real Time Processing of NOAA AVHRR Satellite Data


Hassan, Quazi Khalid (1998) Near Real Time Processing of NOAA AVHRR Satellite Data. Masters thesis, Universiti Putra Malaysia.


This thesis describes near real time processing of NOAA AVHRR satellite raw data which includes automatic geocoding approach followed by cloud masking techniques and sea surface temperature extraction algorithm implemented over South China Sea. For geocoding of the images an orbital model has been used followed by Earth location determination algorithms. Different models have been implemented based on radiative transfer equations for extracting sea surface temperature fro m satellite data, namely single channel, split-window, spatiotemporal split-window technique and multichannel sea surface temperature. There are five cloud masking techn iques namely gross cloud check, spatial coherence method, dynamic visible and near infrared method, ratio of near infrared reflectance to visible reflectance and channel difference method have been implemented. The accuracy of the geocoding is within 2-10 km. Sea surface temperature from satellite data has been compared with ground truth data and standard deviation for sea surface temperature is within 0.1 - 0.75 degree Celsius. The cloud masking techniques are capable to produce non contaminated pixels in the imagery. All the works have been carried out by customization of EASI/PACE environment of PCI software and the developed techniques are fully automatic in nature. These developments can be used for fish forecasting and monitoring of oil spill over Malaysian sea water.

Download File

[img] PDF

Download (703kB)

Additional Metadata

Item Type: Thesis (Masters)
Subject: Detectors
Subject: Satellite meteorology
Call Number: FK 1998 1
Chairman Supervisor: Dr. Shattri B. Mansor
Divisions: Faculty of Engineering
Depositing User: Laila Azwa Ramli
Date Deposited: 09 Mar 2011 02:35
Last Modified: 09 Mar 2011 02:36
URI: http://psasir.upm.edu.my/id/eprint/10094
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item