XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Type of content:: Konferenzschrift

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Reihe:: ISPRS archives

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Editor:: International Society for Photogrammetry and Remote Sensing

Author:: International Society for Photogrammetry and Remote Sensing, 22.; 2012; Melbourne

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Type of content:: Konferenzschrift

DOI:: 10.14463/KXP:1663822514

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Reihe:: ISPRS archives (volume 39, B8 (2012))

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Editor:: International Society for Photogrammetry and Remote Sensing

Author:: International Society for Photogrammetry and Remote Sensing, 22.; 2012; Melbourne

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/7: Forestry]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ESTIMATING MIXED BROADLEAVES FOREST STAND VOLUME USING DSM EXTRACTED FROM DIGITAL AERIAL IMAGES H. Sohrabi

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia ESTIMATING MIXED BROADLEAVES FOREST STAND VOLUME USING DSM EXTRACTED FROM DIGITAL AERIAL IMAGES H. Sohrabi * * * Dept. of Forestry, Natural resources and Marine Science Faculty, Tarbiat Modares University, Iran - hsohrabi@modares.ac.ir Commission VIII, WG VIII/7 KEY WORDS: Forest Volume, Digital Surface Model, Aerial Image, Regression Method, Hyrcanian Forests ABSTRACT: In mixed old growth broadleaves of Hyrcanian forests, it is difficult to estimate stand volume at plot level by remotely sensed data while LiDar data is absent. In this paper, a new approach has been proposed and tested for estimating stand forest volume. The approach is based on this idea that forest volume can be estimated by variation of trees height at plots. In the other word, the more the height variation in plot, the more the stand volume would be expected. For testing this idea, 120 circular 0.1 ha sample plots with systematic random design has been collected in Tonekaon forest located in Hyrcanian zone. Digital surface model (DSM) measure the height values of the first surface on the ground including terrain features, trees, building etc, which provides a topographic model of the earth's surface. The DSMs have been extracted automatically from aerial UltraCamD images so that ground pixel size for extracted DSM varied from 1 to 10 m size by 1m span. DSMs were checked manually for probable errors. Corresponded to ground samples, standard deviation and range of DSM pixels have been calculated. For modeling, non-linear regression method was used. The results showed that standard deviation of plot pixels with 5 m resolution was the most appropriate data for modeling. Relative bias and RMSE of estimation was 5.8 and 49.8 percent, respectively. Comparing to other approaches for estimating stand volume based on passive remote sensing data in mixed broadleaves forests, these results are more encouraging. One big problem in this method occurs when trees canopy cover is totally closed. In this situation, the standard deviation of height is low while stand volume is high. In future studies, applying forest stratification could be studied. 1. INTRODUCTION most commercial packages use cross-correlation or matching of interest points (Waser et. al. 2008). Generally, forest stand volume is estimated using ground based In Iran, Airborne Laser Scanning (ALS) as the most precise measurements, but, many studies showed that remotely sensed source of canopy height data is not available and in the case of data have large capacity for such purposes. Several studies (e.g. availability, it is too expensive. Instead, DSMs which derived St-Onge and Achaichia, 2001; Watt and Donoghue, 2005) from aerial imagery could be used as a source of DSM. But in revealed that using traditional methods of field survey or aerial mountainous forests, with the lack of precise digital terrain photograph interpretation to gain information on exact forest model for deriving canopy height (by subtracting DSM and area and stand volume is not feasible for large programs DTM) they have limited uses. because of costs and time constraints. Here I presented a method based on statistical parameters (range Based on previous studies, accuracy of volume estimations and standard deviation) of DSM derived from aerial images at using only spectral information from 2D imagery obtained with plot level for estimating standing volume of old growth optical sensors is limited, especially for high volume (Patenaude Hyrcanian forests. et al, 2005; Sohrabi, 2008). Because, these data are relatively insensitive to canopy height and additional data about canopy height such as digital surface model is crucial. 2. MATERIAL AND METHODS Digital surface models (DSMs) are an important basis for many tasks of environmental analysis and environmental science, such 2.1 Study area, aerial images and DSM extraction as analysis of erosion and runoff dynamics or vegetation and infrastructure changes (Altmaier and Kany, 2002). Waser et. al. The test site was placed in a forest area of approximately 2240 (2008) used logistic regression models and CIR aerial images, ha in Lirehsar forest, north of Tonekabon city, Mazandaran DSM derived from them to assess increase and decrease (2002— | Province, Iran. The terrain elevation in the study area ranges 1997) of forest area and other wooded areas in a mire biotope. from 600 to 1360 m above sea level. DSMs can be achieved from various sources like radar The test sites were selected to provide variability of standing (Kellndorfer et al, 2003), laser scanning (Maltamo, et al, volume range and stand conditions that are typical of north 2005), aerial images (Gruber and Schneider, 2007) and stereo Iranian forests. Forest stands in the test sites were largely satellite images (Altmaier and Kany, 2002). DSMs can be composed of beech (Fagus orientalis), hornbeam (Carpinus generated automatically by image matching methods, whereby betulus) trees with the presence of other species such as Oak (Quercus castaneifolia), Alder (Alnus subcordata), velvet * Corresponding author

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