Near Real Time Processing of NOAA AVHRR Satellite Data

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 be...

Full description

Saved in:
Bibliographic Details
Main Author: Hassan, Quazi Khalid
Format: Thesis
Language:English
English
Published: 1998
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/10094/1/FK_1998_1_A.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-upm-ir.10094
record_format uketd_dc
spelling my-upm-ir.100942011-03-09T02:36:22Z Near Real Time Processing of NOAA AVHRR Satellite Data 1998-03 Hassan, Quazi Khalid 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. Detectors Satellite meteorology 1998-03 Thesis http://psasir.upm.edu.my/id/eprint/10094/ http://psasir.upm.edu.my/id/eprint/10094/1/FK_1998_1_A.pdf application/pdf en public masters Universiti Putra Malaysia Detectors Satellite meteorology Faculty of Engineering English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Detectors
Satellite meteorology

spellingShingle Detectors
Satellite meteorology

Hassan, Quazi Khalid
Near Real Time Processing of NOAA AVHRR Satellite Data
description 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.
format Thesis
qualification_level Master's degree
author Hassan, Quazi Khalid
author_facet Hassan, Quazi Khalid
author_sort Hassan, Quazi Khalid
title Near Real Time Processing of NOAA AVHRR Satellite Data
title_short Near Real Time Processing of NOAA AVHRR Satellite Data
title_full Near Real Time Processing of NOAA AVHRR Satellite Data
title_fullStr Near Real Time Processing of NOAA AVHRR Satellite Data
title_full_unstemmed Near Real Time Processing of NOAA AVHRR Satellite Data
title_sort near real time processing of noaa avhrr satellite data
granting_institution Universiti Putra Malaysia
granting_department Faculty of Engineering
publishDate 1998
url http://psasir.upm.edu.my/id/eprint/10094/1/FK_1998_1_A.pdf
_version_ 1747811046595231744