Detecting annual harvested area using landsat time series data on the main island of Kyushu

Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue

研究成果: Contribution to journalArticle査読

1 被引用数 (Scopus)

抄録

The objective of this study was to investigate the utility of Landsat time series data for the detection of harvested area using annual data on the main island of Kyushu. We used a change detection algorithm to extract variables for the classification of harvesting, other disturbance, stable forest, and other land cover change. The estimated annual harvested area from 1985 to 2017 was 7426.5 ha, on average, with an increasing trend in the last decade. The overall, producer's, and user's accuracies were 95.2%(±0.5%), 83.1%(±2.9%), and 93.8%(±0.9%), respectively, based on the accuracy assessment using satellite images. When the accuracy was assessed based on ground survey data, 87.6% of the harvested area was detected by annual Landsat time series data. When the accuracy was assessed based on statistical data, the estimated harvested area was 2.6% larger than the recorded clearcut area in national forests and 30.5% larger than the recorded clearcut area in private conifer forests in Miyazaki Prefecture. This study demonstrated that using annual Landsat time series data is a viable approach for the detection of harvesting in a large area across several decades.

本文言語英語
ページ(範囲)15-23
ページ数9
ジャーナルNihon Ringakkai Shi/Journal of the Japanese Forestry Society
102
1
DOI
出版ステータス出版済み - 2020

All Science Journal Classification (ASJC) codes

  • Forestry

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