EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FOREST

Tree crown size (CS) and stem number per hectare (SN) has become increasingly important for forest management and ecosystem monitoring. Tree crown size is also strongly related to other canopy structural parameters, such as diameter at breast height, tree height and biomass. For both issues, remote...

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Main Authors: M. Abbasi, H. R. Riyahi Bakhtyarib
Format: Article
Language:English
Published: Copernicus Publications 2012-07-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/153/2012/isprsarchives-XXXIX-B4-153-2012.pdf
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spelling doaj-d396b6c548e64ffca9ebfa34891e6c672020-11-25T02:24:48ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B415315710.5194/isprsarchives-XXXIX-B4-153-2012EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FORESTM. Abbasi0H. R. Riyahi Bakhtyarib1Department of Forestry, Faculty of Natural Resource and earth science, University of Shahre-kord, Charmahal & Bakhtyari, IranDesert Region Management Department, College of Agriculture, Shiraz University, Shiraz, IranTree crown size (CS) and stem number per hectare (SN) has become increasingly important for forest management and ecosystem monitoring. Tree crown size is also strongly related to other canopy structural parameters, such as diameter at breast height, tree height and biomass. For both issues, remote sensing data are attractive for their large-area and up-to-date mapping capacities. The QuickBird and ASTER imagery used in this study was acquired over Zagros Forests in southern Zagros region, Fars province of Iran on 1 August 2005 and 1 July 2005, respectively. For the forest site investigated in this study, we concentrated on stands of <i>Quercus Persica</i> which is the dominant species in Zagros region. This study was conducted to investigate the capabilities of ASTER-L1B data to estimate some of forest parameters at individual tree and stand level in dry area. The forest stand parameters are crown area, crown density, average crown area. Obtaining the accuracy of classification the ground truth map was prepared by tree crown delineation using the panchromatic band of QuickBird data. Individual tree crowns were automatically delineated by color segmentation of QuickBird imagery. Simple linear regression procedure was used to show the relationships between spectral variables and the individual trees and forest stand parameters. With decreasing the crown density the effects of background will increase. Our results indicated that crown size could be accurately extracted from panchromatic band of QuickBird images especially for open forest stands. This paper demonstrates that using high-resolution satellite imagery in the open forest offers a unique opportunity for deriving single tree attributes and allowing reliable ground truth map to estimate stand structure. ASTER data and its indices showed good capability to estimate crown area in this study.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/153/2012/isprsarchives-XXXIX-B4-153-2012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Abbasi
H. R. Riyahi Bakhtyarib
spellingShingle M. Abbasi
H. R. Riyahi Bakhtyarib
EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FOREST
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet M. Abbasi
H. R. Riyahi Bakhtyarib
author_sort M. Abbasi
title EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FOREST
title_short EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FOREST
title_full EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FOREST
title_fullStr EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FOREST
title_full_unstemmed EXTRACTION OF FOREST STANDS PARAMETERS FROM ASTER DATA IN OPEN FOREST
title_sort extraction of forest stands parameters from aster data in open forest
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2012-07-01
description Tree crown size (CS) and stem number per hectare (SN) has become increasingly important for forest management and ecosystem monitoring. Tree crown size is also strongly related to other canopy structural parameters, such as diameter at breast height, tree height and biomass. For both issues, remote sensing data are attractive for their large-area and up-to-date mapping capacities. The QuickBird and ASTER imagery used in this study was acquired over Zagros Forests in southern Zagros region, Fars province of Iran on 1 August 2005 and 1 July 2005, respectively. For the forest site investigated in this study, we concentrated on stands of <i>Quercus Persica</i> which is the dominant species in Zagros region. This study was conducted to investigate the capabilities of ASTER-L1B data to estimate some of forest parameters at individual tree and stand level in dry area. The forest stand parameters are crown area, crown density, average crown area. Obtaining the accuracy of classification the ground truth map was prepared by tree crown delineation using the panchromatic band of QuickBird data. Individual tree crowns were automatically delineated by color segmentation of QuickBird imagery. Simple linear regression procedure was used to show the relationships between spectral variables and the individual trees and forest stand parameters. With decreasing the crown density the effects of background will increase. Our results indicated that crown size could be accurately extracted from panchromatic band of QuickBird images especially for open forest stands. This paper demonstrates that using high-resolution satellite imagery in the open forest offers a unique opportunity for deriving single tree attributes and allowing reliable ground truth map to estimate stand structure. ASTER data and its indices showed good capability to estimate crown area in this study.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/153/2012/isprsarchives-XXXIX-B4-153-2012.pdf
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