Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection

博士 === 國立臺灣大學 === 森林學研究所 === 84 ===

Bibliographic Details
Main Authors:	Zhong, Yu Long, 鍾玉龍
Other Authors:	Jiao, Guo Mo
Format:	Others
Language:	zh-TW
Published:	1996
Online Access:	http://ndltd.ncl.edu.tw/handle/34596750397771390042

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spelling	ndltd-TW-084NTU023600022016-07-13T04:10:55Z http://ndltd.ncl.edu.tw/handle/34596750397771390042 Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection 地理資訊系統與遙測資訊應用於植群生態變遷之研究:以霧頭山自然保護區為例 Zhong, Yu Long 鍾玉龍博士國立臺灣大學森林學研究所 84 Jiao, Guo Mo 焦國模 1996 學位論文 ; thesis 0 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	博士 === 國立臺灣大學 === 森林學研究所 === 84 ===
author2	Jiao, Guo Mo
author_facet	Jiao, Guo Mo Zhong, Yu Long 鍾玉龍
author	Zhong, Yu Long 鍾玉龍
spellingShingle	Zhong, Yu Long 鍾玉龍 Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection
author_sort	Zhong, Yu Long
title	Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection
title_short	Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection
title_full	Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection
title_fullStr	Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection
title_full_unstemmed	Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection
title_sort	studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection
publishDate	1996
url	http://ndltd.ncl.edu.tw/handle/34596750397771390042
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Studies on the application of geographic information system and remotely sensed data on vegetation ecosystem change detection

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