ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP
Traditional field methods for measuring tree heights are often too costly and time consuming. An alternative remote sensing approach is to measure tree heights from digital stereo photographs which is more practical for forest managers and less expensive than LiDAR or synthetic aperture radar. Thi...
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doaj-215679020f7a44d2bbeba3dde8d4816f2020-11-24T21:53:01ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B869569810.5194/isprs-archives-XLI-B8-695-2016ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAPK. M. Kim0Divison of Global Forestry, National Institute of Forest Science, 57 Hoegi-ro, Dondaemun-gu, Seoul, Republic of KoreaTraditional field methods for measuring tree heights are often too costly and time consuming. An alternative remote sensing approach is to measure tree heights from digital stereo photographs which is more practical for forest managers and less expensive than LiDAR or synthetic aperture radar. This work proposes an estimation of stand height and forest volume(m<sup>3</sup>/ha) using normalized digital surface model (nDSM) from high resolution stereo photography (25cm resolution) and forest type map. The study area was located in Mt. Maehwa model forest in Hong Chun-Gun, South Korea. The forest type map has four attributes such as major species, age class, DBH class and crown density class by stand. Overlapping aerial photos were taken in September 2013 and digital surface model (DSM) was created by photogrammetric methods(aerial triangulation, digital image matching). Then, digital terrain model (DTM) was created by filtering DSM and subtracted DTM from DSM pixel by pixel, resulting in nDSM which represents object heights (buildings, trees, etc.). Two independent variables from nDSM were used to estimate forest stand volume: crown density (%) and stand height (m). First, crown density was calculated using canopy segmentation method considering live crown ratio. Next, stand height was produced by averaging individual tree heights in a stand using Esri’s ArcGIS and the USDA Forest Service’s FUSION software. Finally, stand volume was estimated and mapped using aerial photo stand volume equations by species which have two independent variables, crown density and stand height. South Korea has a historical imagery archive which can show forest change in 40 years of successful forest rehabilitation. For a future study, forest volume change map (1970s–present) will be produced using this stand volume estimation method and a historical imagery archive.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/695/2016/isprs-archives-XLI-B8-695-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
K. M. Kim |
spellingShingle |
K. M. Kim ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
K. M. Kim |
author_sort |
K. M. Kim |
title |
ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP |
title_short |
ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP |
title_full |
ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP |
title_fullStr |
ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP |
title_full_unstemmed |
ESTIMATION OF STAND HEIGHT AND FOREST VOLUME USING HIGH RESOLUTION STEREO PHOTOGRAPHY AND FOREST TYPE MAP |
title_sort |
estimation of stand height and forest volume using high resolution stereo photography and forest type map |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2016-06-01 |
description |
Traditional field methods for measuring tree heights are often too costly and time consuming. An alternative remote sensing
approach is to measure tree heights from digital stereo photographs which is more practical for forest managers and less expensive
than LiDAR or synthetic aperture radar. This work proposes an estimation of stand height and forest volume(m<sup>3</sup>/ha) using
normalized digital surface model (nDSM) from high resolution stereo photography (25cm resolution) and forest type map. The study
area was located in Mt. Maehwa model forest in Hong Chun-Gun, South Korea. The forest type map has four attributes such as
major species, age class, DBH class and crown density class by stand. Overlapping aerial photos were taken in September 2013 and
digital surface model (DSM) was created by photogrammetric methods(aerial triangulation, digital image matching). Then, digital
terrain model (DTM) was created by filtering DSM and subtracted DTM from DSM pixel by pixel, resulting in nDSM which
represents object heights (buildings, trees, etc.). Two independent variables from nDSM were used to estimate forest stand volume:
crown density (%) and stand height (m). First, crown density was calculated using canopy segmentation method considering live
crown ratio. Next, stand height was produced by averaging individual tree heights in a stand using Esri’s ArcGIS and the USDA
Forest Service’s FUSION software. Finally, stand volume was estimated and mapped using aerial photo stand volume equations by
species which have two independent variables, crown density and stand height. South Korea has a historical imagery archive which
can show forest change in 40 years of successful forest rehabilitation. For a future study, forest volume change map (1970s–present)
will be produced using this stand volume estimation method and a historical imagery archive. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/695/2016/isprs-archives-XLI-B8-695-2016.pdf |
work_keys_str_mv |
AT kmkim estimationofstandheightandforestvolumeusinghighresolutionstereophotographyandforesttypemap |
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