Assessments of preprocessing methods for Landsat time series images of mountainous forests in the tropics

Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue, Shigejiro Yoshida

研究成果: ジャーナルへの寄稿記事

抄録

Monitoring forest changes based on numerous satellite images has been recently conducted in the tropics. Preparation of a time series of satellite images, sometimes referred to as preprocessing, is essential for conducting robust detection of forest change. To create consistent and stable conditions in satellite images, the best methods have to be used in each step to correct various sources of noise. This study assessed three atmospheric correction methods, six topographic correction methods, and eight gap-filling methods to produce the best possible time series of Landsat images of tropical seasonal forests. The results showed that the best methods for atmospheric and topographic correction were relative corrections using a Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS), which is based on a 6S radiative transfer model, and the C-correction, respectively. Weighted linear regression and multiple linear regression models were selected as the best models for the filling of data gaps associated with Scan Line Corrector-off and clouds, respectively. This study provided the best possible image preprocessing for trajectory-based change detection using annual Landsat images. Although the best possible preprocessing methods might vary depending on the change detection methods used in different study areas, the results highlight the preferable preprocessing methods, even for different types of time series analysis.

元の言語英語
ページ(範囲)139-148
ページ数10
ジャーナルJournal of Forest Research
23
発行部数3
DOI
出版物ステータス出版済み - 5 4 2018

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Landsat
time series analysis
tropics
time series
methodology
atmospheric correction
detection method
method
radiative transfer
trajectories
trajectory
disturbance
ecosystem
monitoring
ecosystems
satellite image

All Science Journal Classification (ASJC) codes

  • Forestry

これを引用

Assessments of preprocessing methods for Landsat time series images of mountainous forests in the tropics. / Shimizu, Katsuto; Ota, Tetsuji; Mizoue, Nobuya; Yoshida, Shigejiro.

:: Journal of Forest Research, 巻 23, 番号 3, 04.05.2018, p. 139-148.

研究成果: ジャーナルへの寄稿記事

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