Trial of silage corn fields detection using ALOS/PALSAR data

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  • ALOS/PALSARデータを用いた飼料用トウモロコシ作付圃場把握の試み
  • ALOS/PALSAR データ オ モチイタ シリョウヨウ トウモロコシ サクツケ ホジョウ ハアク ノ ココロミ

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Abstract

In order to reduce expensive purchased feed and increase the use of self-support feed, because of the increasing import grain and feed prices, the production quantity of feed crops is increasing in various places. On the other hand, the officially statistics of silage corn planted area were published only prefectures unit after the 2007 fiscal year, and it became difficult to acquire objective information about planting areas for each city, town, and village. Therefor silage corn planted area grasp with the satellite is expected. Although the operation range was limited, in order to explore the possibility of detecting silage corn planting fields, simple analysis was tried using time-series ALOS/PALSAR data. Unsupervised classification was carried out using the calculated mean values of back scatter coefficients of the ALOS/PALSAR data for each agricultural parcel (i.e., on the basis of the change in the backscatter coefficients). As a result, the plantation areas were successfully detected. The map of the silage corn planting fields created from the ALOS/PALSAR data agreed well with the one created by the TMR center. Out of the 29 fields that were judged to be silage corn crops according to the satellite data, 27 were accurately identified (i.e., User's accuracy of 93.1%). On the other hand, the results regarding other crops were not as accurate. It is considered that ALOS/PALSAR is suitable for detecting fields where large-biomass agricultural products like silage corn are planted, because ALOS/PALSAR is an L-band SAR, which is operated at a wavelength longer than that of the microwave SAR currently used.

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