@article{oai:ir.kagoshima-u.ac.jp:00004893,
 author = {山口, 雄也 and YAMAGUCHI, Yuya and 石川, 大太郎 and ISHIKAWA, Daitaro and 内原, 浩之 and UCHIHARA, Hiroyuki and 芦原, 誠一 and ASHIHARA, Seiichi and 片平, 祐介 and KATAHIRA, Yusuke and 徳岡, 杜香 and TOKUOKA, Morika and 石黒, 悦爾 and ISHIGURO, Etsuji},
 journal = {鹿児島大学農学部演習林研究報告, Research bulletin of the Kagoshima University forests},
 month = {Mar},
 note = {This research was carried out for identification of cutting area in forest using remote sensing, especially Landsat/TM and ALOS/AVNIR-2 data. Non-vegetation area and the others were able to be separated with high accuracy when threshold was determined by value of NDVI ≦ 0.51. The index (I) of the identification of cutting area was developed. Finally, the value of I(Landsat) ≧ 16 and the value of I(ALOS) ≧ 0 were effective for the identification of cutting areas in the forest. The results suggested that the identification of cutting areas using satellite data is an effective technique for forestry management.},
 pages = {1--6},
 title = {衛星画像を用いた伐採地の抽出手法の開発},
 volume = {38},
 year = {2011},
 yomi = {ヤマグチ, ユウヤ and イシカワ, ダイタロウ and ウチハラ, ヒロユキ and アシハラ, セイイチ and カタヒラ, ユウスケ and トクオカ, モリカ and イシグロ, エツジ}
}