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...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English English |
| منشور في: |
1998
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://psasir.upm.edu.my/id/eprint/10094/1/FK_1998_1_A.pdf |
| الوسوم: |
إضافة وسم
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| الملخص: | 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. |
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