Muhammad Akmal bin Ismail

Study on Extracting Long Period of Continuous Good Weather Specific Area Using MODIS Observation Data

Atsushi Rikimaru,Kazuyoshi Takahashi

Currently, the earth is observable by the satellite using satellite image. Satellite imagery has been used in various fields including environmental issues. For example, by understanding the distribution of vegetation from satellite imagery, we can find a clue that cause the ecological food problems and environmental problems. Remote sensing earth observation satellite is being used as a way to observe the distribution of vegetation instantaneously distributed over a wide area. However, observation of the vegetation is difficult under the influence of cloud area, and it is difficult to grasp a change of the vegetation in chronological order.
The previous researcher extracted a Good Weather Specific Area by using Cloud Frequency Area Image and tried extraction of NDVI in high time resolving power. Cloud Frequency Area Image is an image that expressed frequency covered to the cloud of each spot by overlapped eight days composite MODIS image for one year (46 scenes). However, it cannot be said that it is the accurately Good Weather Specific Area when it is only overlapped the one year of Cloud Frequency Area Image. Because, for each year the Good Weather Specific Area is changing by the movement of the clouds and there can be unusually wide or narrow Good Weather Specific Area only in some years.
This study worked on a setting method of the consecutive Good Weather Specific Area extraction for a long term and examined the Good Weather Specific Area suitable for NDVI extraction. Good Weather Specific Area is the area that have a high ratio of the good weather in a long term by extracting the low cloud frequency domain for 12 years using Cloud Frequency Area Image from a satellite image.
By the Cloud Frequency Area Image which made with the eight days composite MODIS image, it is able to examine Good Weather Specific Area suitable for extract the NDVI of the Thailand country for 12 year, 6 years and 3 years between 2000 through 2011.

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