Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify

Abstract The objectives of the research were to find the range of vegetation index value, correlation between vegetation index and canopy cover density and the best vegetation index transformation to identify swamp-peat forest vegetation. The method that used in this research was combination between...

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Main Author: Perpustakaan UGM, i-lib
Format: Article
Published: [Yogyakarta] : Universitas Gadjah Mada 2001
Subjects:
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author Perpustakaan UGM, i-lib
author_facet Perpustakaan UGM, i-lib
author_sort Perpustakaan UGM, i-lib
collection UGM
description Abstract The objectives of the research were to find the range of vegetation index value, correlation between vegetation index and canopy cover density and the best vegetation index transformation to identify swamp-peat forest vegetation. The method that used in this research was combination between digital analysis of index vegetation spectral pattern of landsat TM image approach and fieldwork. The result showed that multi spectral classification based on Landsat TM vegetation indices values had capability to produce 11 object classes with interpretation accuracy 98,93 %. The range of vegetation indices value for vegetation group were: NDVI = 0,5473 - 0,7785
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spelling oai:generic.eprints.org:176102014-06-18T00:32:24Z https://repository.ugm.ac.id/17610/ Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify Perpustakaan UGM, i-lib Jurnal i-lib UGM Abstract The objectives of the research were to find the range of vegetation index value, correlation between vegetation index and canopy cover density and the best vegetation index transformation to identify swamp-peat forest vegetation. The method that used in this research was combination between digital analysis of index vegetation spectral pattern of landsat TM image approach and fieldwork. The result showed that multi spectral classification based on Landsat TM vegetation indices values had capability to produce 11 object classes with interpretation accuracy 98,93 %. The range of vegetation indices value for vegetation group were: NDVI = 0,5473 - 0,7785 [Yogyakarta] : Universitas Gadjah Mada 2001 Article NonPeerReviewed Perpustakaan UGM, i-lib (2001) Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=369
spellingShingle Jurnal i-lib UGM
Perpustakaan UGM, i-lib
Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify
title Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify
title_full Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify
title_fullStr Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify
title_full_unstemmed Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify
title_short Analisis Indeks Vegetasai Data Landsat TM Untuk Identifikasi Vegetasi Hutan Rawa Gambut (Studi Kasus di Areal HPH PT.Brata Jaya Utama, Kalimantan Tengah) = Analysis of Vegetation Index of Landsat TM Data to Identify
title_sort analisis indeks vegetasai data landsat tm untuk identifikasi vegetasi hutan rawa gambut studi kasus di areal hph pt brata jaya utama kalimantan tengah analysis of vegetation index of landsat tm data to identify
topic Jurnal i-lib UGM
work_keys_str_mv AT perpustakaanugmilib analisisindeksvegetasaidatalandsattmuntukidentifikasivegetasihutanrawagambutstudikasusdiarealhphptbratajayautamakalimantantengahanalysisofvegetationindexoflandsattmdatatoidentify