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Technical Commission VIII (B8)

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Bibliographic data

fullscreen: Technical Commission VIII (B8)

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:
A PROPOSED NEW VEGETATION INDEX, THE TOTAL RATIO VEGETATION INDEX (TRVI), FOR ARID AND SEMI-ARID REGIONS Hadi Fadaei, Rikie Suzuki, Tetsuro Sakai and Kiyoshi Torii
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VIII (B8)
  • Cover
  • Title page
  • [Inhaltsverzeichnis]
  • [VIII/1:]
  • [VIII/2: Health]
  • [VIII/3: Atmosphere, Climate and Weather]
  • [VIII/4: Water]
  • [VIII/5: Energy and Solid Earth]
  • [VIII/6: Agriculture, Ecosystems and Bio-Diversity]
  • [VIII/7: Forestry]
  • CHANGE ANALYSIS OF THE SPECTRAL CHARACTERISTICS OF RUBBER TREES AT CANOPY AND LEAF SCALES DURING THE BRAZILIAN AUTUMN C. H. Amaral, T. I. R. Almeida, G. C. M. Quitério, M. N. Alves, C. R. Souza Filho
  • SPECIES-SPECIFIC FOREST VARIABLE ESTIMATION USING NON-PARAMETRIC MODELING OF MULTI-SPECTRAL PHOTOGRAMMETRIC POINT CLOUD DATA J. Bohlin, J. Wallerman, H. Olsson, J. E. S. Fransson
  • APPLICATION OF SPATIAL MODELLING APPROACHES, SAMPLING STRATEGIES AND 3S TECHNOLOGY WITHIN AN ECOLGOCIAL FRAMWORK Hou-Chang Chen, Nan-Jang Lo, Wei-I Chang, and Kai-Yi Huang
  • DEVELOPING A 3D WAVEFORM LIDAR SIMULATOR FOR FOREST T. ENDO, Y. SAWADA, T. KOBAYASHI and H. SAWADA
  • A PROPOSED NEW VEGETATION INDEX, THE TOTAL RATIO VEGETATION INDEX (TRVI), FOR ARID AND SEMI-ARID REGIONS Hadi Fadaei, Rikie Suzuki, Tetsuro Sakai and Kiyoshi Torii
  • INVESTIGATING THE CAPABILITY OF IRS-P6-LISS IV SATELLITE IMAGE FOR PISTACHIO FORESTS DENSITY MAPPING (CASE STUDY: NORTHEAST OF IRAN) F. Hoseini, A. A. Darvishsefat, N. Zargham*
  • FOREST RESOURCE MANAGEMENT SYSTEM BY STANDING TREE VOLUME ESTIMATION USING AERIAL STEREO PHOTOS T. Kamiya, H. Koizumi, J. Wang, A. Itaya
  • A CASE STUDY OF A FOREST CARBON STOCK MONITORING SYSTEM FOR REDD+ IN LAO P.D.R. M. Nasu, T. Sano, K. Oono, Y. Wada, R. Nakada, T. Yamase, S. Tomimura, T. Furuya, G. Matteo, C. Kamusoko, Y. Gomi, T. Isobe, A. Iwata, H. Moriike, S. Hironaga, T. Hosokawa, T. Someya, A. Wachi, Khamma Homsysavath
  • TIME-SERIES ANALYSIS OF COASTAL EROSION IN THE SUNDARBANS MANGROVE M. Mahmudur Rahman
  • BIOMASS ESTIMATION USING VERTICAL FOREST STRUCTURE FROM SAR TOMOGRAGHY: A CASE STUDY IN CANADIAN BOREAL FOREST. E. Renaudin, B. Mercer, Q. Zhang, M. J. Collins
  • ESTIMATING MIXED BROADLEAVES FOREST STAND VOLUME USING DSM EXTRACTED FROM DIGITAL AERIAL IMAGES H. Sohrabi
  • CROWN DELINEATION INFLUENCE ON STANDING VOLUME CALCULATIONS IN PROTECTED AREA K. Sterenczak, S. Miscicki,
  • DEVELOPMENT OF PHOTOGRAMMETRY SYSTEM FOR GRASPING FOREST RESOURCES INFORMATION Y. Uramoto, L. Zhu, K. Tachibana, H. Shimamura, N. Ogaya
  • VOXEL-BASED APPROACH FOR ESTIMATING URBAN TREE VOLUME FROM TERRESTRIAL LASER SCANNING DATA C. Vonderach, T. Voegtle, P. Adler
  • AN INTERCOMPARISON OF PASSIVE TERRESTRIAL REMOTE SENSING TECHNOLOGIES TO DERIVE LAI AND CANOPY COVER METRICS W. L. Woodgate
  • [VIII/8: Land]
  • [VIII/9: Oceans]
  • [VIII/10: Cryosphere]
  • Cover

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IX-B8, 2012 
  
ersections derived 
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configuration, the 
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ditions. Moreover, 
; quite useful for 
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It and we have not 
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A, 2004. Small- 
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ig LiDAR returns 
n Geoscience and 
  
A PROPOSED NEW VEGETATION INDEX, THE TOTAL RATIO VEGETATION INDEX 
(TRVI), FOR ARID AND SEMI-ARID REGIONS 
Hadi Fadaei **, Rikie Suzuki °, Tetsuro Sakai® and Kiyoshi Torii® 
2 postdoctoral Researcher at Research Institute for Global Change (RIGC), Japan Agency for Marine-Earth Science and 
Technology (JAMSTEC)-fadaei@jamstec.go.jp 
"Research Institute for Global Change (RIGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC)- 
rikie@jamstec.go.jp 
° Department of Social Informatics, Graduate School of Informatics, Kyoto University Kyoto, Japan 
* Graduate Schools of Agriculture, Kyoto University, Kyoto, Japan 
KEY WORDS: Arid and semi-arid, ALOS, Total Ratio Vegetation Index (TRVI), Pistachio and Juniper 
ABSTRACT: 
Vegetation indices that provide important key to predict amount vegetation in forest such as percentage vegetation cover, 
aboveground biomass, and leaf-area index. Arid and semi-arid areas are not exempt of this rule. Arid and semi-arid areas of 
northeast Iran cover about 3.4 million ha and are populated by two main tree species, the broadleaf Pistacia vera (pistachio) and the 
conifer Juniperus excelsa ssp. polycarpos (Persian juniper). Natural stands of pistachio in Iran are not only environmentally 
important but also genetically essential as seed sources for pistachio production in orchards. We investigated the relationships 
between tree density and vegetation indices in the arid and semi-arid regions in the northeast of Iran by analysing Advanced Land 
Observing Satellite (ALOS) data PRISM is a panchromatic radiometer with a 2.5 m spatial resolution at nadir, and has one band 
with a wavelength of 0.52—0.77 um (JAXA EORC). AVNIR-2 is a visible and near infrared radiometer for observing land and 
coastal zones with a 10 m spatial resolution at nadir, and has four multispectral bands: blue (0.42—0.50 pm), green (0.52—-0.60 um), 
red (0.61—0.69 jum), and near infrared (0.76—0.89 um) (JAXA EORC). In this study, we estimated various vegetation indices using 
maximum filtering algorithm (5x5) and examined. This study carried out of juniper forests and natural pistachio stand using 
Advanced Land Observing Satellite (ALOS) and field inventories. Have been compared linear regression model of vegetation indices 
and proposed new vegetation index for arid and semi-arid regions. Also, we estimated the densities of juniper forests and natural 
pistachio stands using remote sensing to help in the sustainable management and production of pistachio in Iran. We present a new 
vegetation index for arid and semi-arid regions with sparse forest cover, the Total Ratio Vegetation Index (TRVI), and we investigate 
the relationship of the new index to tree density by analysing data from the Advanced Land Observing Satellite (ALOS) using 5x5 
maximum filtering algorithms. The results for pistachio forest showed the coefficient regression of NDVI, SAVI, MSAVI, OSAVI, 
and TRVI were (R2= 0.68, 0.67, 0.68, 0.68, and 0.71) respectively. The results for juniper forest showed the coefficient regression 
of NDVI, SAVI, MSAVI, OSAVI, and TRVI were (R2= 0.51, 0.52, 0.51, 0.52, and 0.56) respectively. I hope this research can 
provide decision of managers to helping sustainable management for arid and semi-arid regions in Iran. 
1. INTRODUCTION 
Arid and semi-arid areas of northeast Iran cover about 3.4 
million ha and contain two main tree species, the broadleaf 
Pistacia vera. L (pistachio) and the conifer Juniperus excelsa 
ssp. polycarpos (Persian juniper), which are found at different 
elevations above sea level (a.s.l.) (Figure 1). Persian juniper 
forms open woodlands, with a maximum tree density of 
approximately 150 trees per hectare (pers. obs.; Andrew et al. 
1996). This species is found from Turkey to Afghanistan and 
east and south to Iran (Fisher and Andrew 1995) and at 
elevations ranging from 1500 to 2900 m a.s.l., and is also found 
In Pakistan, where it is fairly common, forming open forests in 
Baluchistan and inner dry valleys of the Himalayas from 1200 
to 4000 m (Andrew et al. 1996). However, the climate at these 
altitudes may be marginal for the survival of Persian juniper, 
and even small increases in climatic stress could imperil the 
present status of these woodlands (Fisher and Andrew 1995). 
Pistachio is thought to have been cultivated for 3000-4000 
years in Iran. Currently, Iran is the world’s largest producer of 
Pistachio, followed by the United States, where most pistachio 
Production is in California. In 2004, Iran and the United States 
Were responsible for 44% and 13% of global pistachio 
ey T1” 
Corresponding author. Tel.: +81-45-778-5605; fax: +81-45-778-5706. E-mail address: fadaei@jamstec.go.jp 
production, respectively (Razavi 2006). Pistachios are one of 
the most important non-oil exports from Iran (Fadaei et al. 
2007). Most pistachio production in Iran occurs in orchards, but 
there are a few areas, such as in northeast Iran, where wild 
pistachio (Pistacia vera L.) grows in natural stands, mostly at 
elevations of 500-1200 m (a.s.l.). Natural stands of pistachio 
are important, not only environmentally but also genetically as 
seed storage for pistachio production in orchards. In addition, 
natural pistachio stands, which are managed by the Natural 
Resource Organization of Iran, provide rural residents with 
opportunities to obtain extra income by participating in 
harvesting. 
      
ocations of the study areas in northeast Iran 
  
  
	        

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