Masaki KOBAYASHI
Study on time-series changes of vegetation index grasp using MODIS data
Atsushi RIKIMARU, Hiroki IRIE
The remote sensing by an earth observation satellite is utilized as a method of observing the vegetation index distributed over a wide area. Moreover, vegetation distribution of eight scenes has been grasped according to a season in one year by the basic research in 2009. It was mentioned in one year as a subject that eight scenes low as time resolution. Then, it is a low frequency domain of clouds and it is important to grasp change of the time series of vegetation by high time resolution compared with the conventional technique.The purpose of this research is for a domain with few clouds to consider extraction of a time series vegetation change through one year.The satellite imagery used the data that the MODIS sensor carried in EOS-Aqua and a Terra satellite observes.The cloud frequency image of 40 scenes was first created by April, 2010 to one-year from the MODIS data of Kanto.The low cloud frequency domain considered time series change of the vegetation index of Kanto in 2010 paying attention to the paddy field that change of vegetation index tends to catch.The NDVI value of the paddy field of each area in Kanto was examined in 2010. The NDVI value increased greatly from June to July, and decreased from September. Local verification was performed in each area and the fixture of the rice crop was checked.Next, as a result of performing comparison study with the cultivation-calendar of a rice crop calendar, it turned out that time series change of the vegetation index in each area is almost the same as that of transition of the vegetation index of a cultivation calendar. Moreover, when this research technique was applied also in 2009 in the same part, time series change of vegetation index has been grasped. When this research technique was applied in Thailand where places differ, transition of the vegetation index in dry season planting has been grasped.
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