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

APPLICATION OF ETM+ DATA FOR ESTIMATING RANGELANDS COVER PERCENTAGE (CASE STUDY: CHAMESTAN AREA, IRAN) Seyed Zeynalabedin Hosseini', Sayed Jamaleddin Khajeddin', Hossein Azarnivand*, 1-College of Natural Resources & Desert Studies, University of Yazd, P.O.Box 89195-741 Yazd, Iran TeleFax:+98351-8210312 , E-mail: hosseini_sz@yahoo.com 2- College of Natural Resources, Isfahan University of Technology 3- College of Natural Resources, University of Tehran KEYWORDS: ETM’, Vegetation indices, Fusion, Percentage vegetation cover, Correlation analysis, Stepwise regression. ABSTRACT: The major land cover in Iran is rangeland, so it is not possible to assess the vegetation cover of these vast areas through field work. During the recent years, many researchers have used various satellite data with vegetation indices as a tool to evaluate the rangelands vegetation cover and to estimate the yield and percentage cover. This study was carried out in Chamestan area rangelands (12000ha) in Mazandaran province, Iran. Landsat ETM" data with acquisition date of 18th July, 2000 were registered to digital topographic maps with scale of 1:25000. Multi spectral bands were registered to TM8 panchromatic band using data fusion method in two ways: “Spectral Response” and “Hue, Intensity, Saturation (HIS)” techniques. In addition, 26 vegetation indices were applied to Landsat data as well. Field surveys and available vegetation maps confirmed the limited number of vegetation types that were not exceed to four major vegetation forms at the studied areas. Totally on 40 points, 400 quadrates were placed to estimate vegetation cover. To arrange these quadrates, on each randomly selected point, 10 quadrates each 10m*10 m were placed on perimeter of a supposed circle with 20m radius. This supposed circle covers (3*3) 79 pixels of ETM' image. Inside of each quadrate the percentage vegetation cover was estimated and the dominant species were recorded. Correlation and stepwise regression analysis were applied to field data and vegetation indices. These indices were the products of the Landsat data bands and the fused bands. The results illustrated that vegetation indices alone did not have enough ability to estimate percentage cover on studied rangelands. But applying of vegetation indices to ETM" bands along with fused bands, leads to get reliable results on estimating of rangelands percentage cover. INTRODUCTION (merging) was done with two methods: “Spectral Response” and “Hue, Intensity Saturation (HIS)”. In spectral response method, 2, 3 and 4 bands were merged with pan band. In HIS During the recent years, implication of satellite data on method all of the bands were merged with pan band. Also pixel vegetation assessment and land cover mapping has been size of thermal and multi spectral bands were equaled to pan extended. Field surveying and data collection can be carried out band. Subsequently a lot of 26 vegetation indices were tested on a part of studied area, then the collected data relation with (Table 1). satellite data can be modeled to assess the vegetation cover on Field surveys and available vegetation maps confirmed that only the whole region. According to this point some works have been four major vegetation types can be found in the studied area. managed. Among them, Longford and et al. (1997) used TM Totally, on 40 randomly selected sample points, 400 quadrates data to map land cover of Caucau in Colombia. Khajeddin were randomly placed to estimate vegetation cover in a manner (1995) use Landsat MSS data to assess the vegetation cover of that on each sampling sit, 10 quadrates (10*10m) were placed Jazmourian area, Iran. Sepehri (2002), applied TM data and on the perimeter of supposed circles with 20m radius to cover 9 vegetation indices, to assess the percentage vegetation cover of ~~ ETM+ pixels (Figure 1). Inside of each quadrates the rangelands in Jahannema protected area, Iran. Also Leeuwen percentage vegetation cover was estimated and the dominant and Huete (1996) have employed NDVI and MNDVI on litter species were recorded. determination and vegetation assessments. (Table 1) The tested vegetation indices. MATERIAL AND METHODS Vegetation Formula Index The studied area is located in Mazandaran province, northern part of Iran, between 36° 14'to 36° 17 E and 52° 0'to 52° 15 N IR2 (TM4-TM7)/(TM4+TM7) about 12000ha where the mean annual precipitation is 1200mm. Landsat ETM+ images of 18th July, 2000 were registered to MIR TMS/TM7 1:25000 digital topographic maps by nearest neighbor ur MND (TM4-(1.2* TM3)(TM4* TM3) resampling algorithm which the RMSe was less than one pixel. To use the panchromatic band, the multi spectral and thermal MSI IMS/IMA bands were registered to the pan band, then data fusion 198

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