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題名 應用SPOT衛星資料監測人工林之研究
其他題名 Application of SPOT Data for Monitoring Plantations
作者 詹進發
Jan, Jihn-Fa
關鍵詞 遙測 ; 影像分類 ; 林地分級 ; 光譜反射
remote sensing ; image classification ; forest land classification ; spectral reflectance
日期 1996.09
上傳時間 12-Sep-2014 16:23:20 (UTC+8)
摘要 台灣人工林面積佔全省森林面積之20%,如何有效地監測這些人工林,爲今後森林經營者應正視的問題。本文旨在探討應用SPOT衛星資料監測人工林之可行性,並以林試所六龜試驗林之台灣杉人工林爲例,供未來全省人工林監測之參考。研究重點包括林地分級在選取均質樣區之應用、樣區光譜資料之分析、林地分級與影像分類之整合,以及提出具林地分級觀念之分層分類方法。研究結果指出,應用林地分級技術於遙測影像分類上,除可協助選取均質的樣區之外,並可提高分類準確度,對提昇應用SPOT資料監測人工林之可行性有明顯的幫助。
Plantations occupy 20% of forest areas in Taiwan. To monitor them well has become an important issue for forest managers. This study investigated the feasibility of applying SPOT data to monitor plantations and took Taiwania plantations of the Liukuei experimental forest as an example reference for monitoring the island`s plantations. The research content includes the application of forest land class-ification to selecting homogeneous training plots, the analysis of training plots, the integration of forest land classification and image classification, and a proposed stratified classification approach incorporating forest land classification.The research results indicate that forest land classification introduced into image classification can improve not only the selection of homogeneous plots but also the classification accuracy. This result will improve the feasibility of applying SPOT data to monitor plantations.
關聯 台灣林業科學, Vol.11, No.3, pp.323-332.
資料類型 article
dc.creator (作者) 詹進發zh_TW
dc.creator (作者) Jan, Jihn-Faen_US
dc.date (日期) 1996.09en_US
dc.date.accessioned 12-Sep-2014 16:23:20 (UTC+8)-
dc.date.available 12-Sep-2014 16:23:20 (UTC+8)-
dc.date.issued (上傳時間) 12-Sep-2014 16:23:20 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/69886-
dc.description.abstract (摘要) 台灣人工林面積佔全省森林面積之20%,如何有效地監測這些人工林,爲今後森林經營者應正視的問題。本文旨在探討應用SPOT衛星資料監測人工林之可行性,並以林試所六龜試驗林之台灣杉人工林爲例,供未來全省人工林監測之參考。研究重點包括林地分級在選取均質樣區之應用、樣區光譜資料之分析、林地分級與影像分類之整合,以及提出具林地分級觀念之分層分類方法。研究結果指出,應用林地分級技術於遙測影像分類上,除可協助選取均質的樣區之外,並可提高分類準確度,對提昇應用SPOT資料監測人工林之可行性有明顯的幫助。en_US
dc.description.abstract (摘要) Plantations occupy 20% of forest areas in Taiwan. To monitor them well has become an important issue for forest managers. This study investigated the feasibility of applying SPOT data to monitor plantations and took Taiwania plantations of the Liukuei experimental forest as an example reference for monitoring the island`s plantations. The research content includes the application of forest land class-ification to selecting homogeneous training plots, the analysis of training plots, the integration of forest land classification and image classification, and a proposed stratified classification approach incorporating forest land classification.The research results indicate that forest land classification introduced into image classification can improve not only the selection of homogeneous plots but also the classification accuracy. This result will improve the feasibility of applying SPOT data to monitor plantations.en_US
dc.format.extent 646831 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) 台灣林業科學, Vol.11, No.3, pp.323-332.en_US
dc.subject (關鍵詞) 遙測 ; 影像分類 ; 林地分級 ; 光譜反射en_US
dc.subject (關鍵詞) remote sensing ; image classification ; forest land classification ; spectral reflectanceen_US
dc.title (題名) 應用SPOT衛星資料監測人工林之研究zh_TW
dc.title.alternative (其他題名) Application of SPOT Data for Monitoring Plantationsen_US
dc.type (資料類型) articleen