Searching for the optimal acquisition month for bamboo area detection using satellite constellation images

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  • 衛星コンステレーションを用いた竹林分布把握における最適撮影時期の探索

Abstract

<p>Shugo Inoue, Tetsuji Ota and Nobuya Mizoue: Searching for the optimal acquisition month for bamboo area detection using satellite constellation images. Jpn. J. For. Plann. 57: 45～51, 2024 We verified the optimal month of data acquisition for detecting bamboo areas from satellite remote sensing data. The study area was the area around the former Tachibana Village in Fukuoka Prefecture, and a total of 11 PlanetScope data were obtained from January to December 2022. Machine learning models were applied to each of the 11 satellite data sets to classify them into two classes: bamboo area and non-bamboo area. Classification accuracy was then compared. The overall accuracy was highest in June (91.2%) and lowest in April (74.6%). The overall accuracy was low in January, gradually increased, and then peaked in May and June, followed by a decrease. In the bamboo area detection using data acquired in June, the red band had the highest importance, and the vegetation indices using the red band, green, and near-infrared band also had high importance. We concluded that data acquired in May-June by satellites with red, green, and near-infrared bands should be used to detect bamboo forests.</p>

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