Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

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Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

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

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

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:: APPLICATION OF ETM+ DATA FOR ESTIMATING RANGELANDS COVER PERCENTAGE (CASE STUDY: CHAMESTAN AREA, IRAN) Seyed Zeynalabedin Hosseini, Sayed Jamaleddin Khajeddin, Hossein Azarnivand

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 (Table 4) The resulted correlation coefficients of the field data with image data Vegetation Correlation Vegetation Correlation Hidex or coefficient Indeseot coefficient Band Band IR2 0.19 B3FU -0.087 MIR 0.184 B4 0.147 MND 0.329% B4FU 0.018 MSI 0.111 B5 0.154 NDVI 0:320* B5FU -0.053 NIR 0.322% B6L -0.044 RA 0.127 B6LFU -0.006 SAVI 0.329% B6H -0.200 TVI 0.329* B6HFU 0.003 IRI -0.092 B7 0.112 VNIRI 0.302 B7FU -0.242 VNIR2 0.335* B8 -0.038 PD311 -0.135 HYB2 -0.214 PD312 -0.130 HYB3 -0.234 PD321 -0.80 HYB4 (:38]** PD322 -0.034 VII 0.150 MIRVI 0.309* VI2 -0.148 MIRV2 0.352* VI3 -0.392** MINI 0.019 VIA -0.270** BI -0.114 VIS -0.027 BIFU 0.184 VI6 -0.055 B2 -0.147 VI7 -0.069 B2FU -0.012 B3 -0.132 * Significantly at P=5% and ** significantly at P=1% FU= fused band using HIS method HYB- fused band using spectral response method The results of stepwise regression analysis are shown in Table (4). On the basis of this table contents, it is possible to create a model to predict the percentage cover over the whole studied area. Table -4- Results of step wise regression analysis R? Mean of Degree of Source of Variable Squares freedom Variation Regression NIS 1256.03 4 B7FU 0.64 Enter HYB4 80.71 35 B5FU B6H The suggested model is: Y=-0.28B6H+2.45BSFU-3.15B7FU+1.46HYB4+27.74 Where 200 Y= percentage cover, B6H= band 6 high gain, BSFU= fused band 5 using HIS method , B7FU= fused band 7 using HIS method HYB4= fused band 4 using spectral response method Sepehri (2000) applied the mentioned vegetation indices in Jahannema area, Gorgan, Iran and also Boyd et al (1996) and Sepehri et al (1998) used these indices as well. They expressed since there are high variations among cover data, so the vegetation indices are not much applicable to asses the vegetation cover. Among the examined indices, VI3 has highest correlation coefficient with vegetation cover (r=39.2%). Also the Sepehri et al (1998) and Boyd et al (1996), researches have reched the similar results. And the same results have been discussed for the VI6 vegetation index. NDVI has positive correlation with vegetation cover because of the high spectral reflectance of vegetation cover in band 4. Khajeddin in 1995 has proved that NDVI is one of the indices that have correlation with vegetation cover at Jazmourian area. The low correlation coefficient between NDVI and vegetation cover is due to soil back ground (Apan et al 19997). MIRV2 has a high correlation with vegetation cover (r=35%). It seems that, the high vegetation reflectance on near infrared region is responsible to this point. Hyb4, created from merging panchromatic band with band 4, 3 and 2 data, has correlation with vegetation cover (P=1%). Considering the fusion algorithm in spectral responses, the spectral reflectance of Hyb4 is very similar to band 4. In addition, the latter spectral region of the vegetation reflectance is considerable; therefore this band could be used frequently to estimate vegetation cover. REFERENCES I- Apan, A. A., 1997. Land Cover mapping for tropical forest rehabilitation planning using remotely sensed data, Int. J.R. 5., Vol. 18, No. 5, PP. 1029-1049. 2- Boyd, D.S., Foody, G.M., Curran, P.J., Lucus, R.M. and Klonzak, M., 1996. An assessment of radiance in landsat TM middle and thermal infrared warebands for the detection of tropical forest.rgeneration. Intl.J. Remote sensing, Vol. 17, No. 2, 249-261. 3- Hosseini, S. Z., 2003. Investigation on capability of ETM+ data for land use mapping, Ms thesis, College of Natural resources, University of Tehran, Iran 4- Hosseini, S. Z., Khajeddin, S. J., Azarnivand, H. and Khalilpour S.A., 2004. Utilizing vegetation indices, first and fused bands for vegetation cover percentage mapping, National Geomatics conference, lanian National Cartographic Center. 5- Khajeddin, S.J., 1995. A survey of the plant comunities of the Jazmorian, IRAN, using Landsat MSS data. Ph. D. thesis University of Reading 6- Langford, M, 1997. Landcover mapping in a tropical hillsides in environment, a case study in the Caucau region of Colombia, Int. J. Remote Sensing, Vol. 18, No., 6. 7- Sepehri, A. and M. R. Mottaghi, 2002. Application of vegetation indices for assessing rangelands cover percentage of Jahannema protected area - Gorgan (Iran), Iranian Journal of Natural Resources, Vol. 55, No. 2. 8- Leeuwen, W. J. D and A. R. Hute, 1996. Effect of standing litter on the biophysical interpretation of plant canopies with spectral indices, Remote Sensing of Environment, 55:123-13

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