Farahpour, Mehdi

Gholinejad, S.

Mousavi, S. A. R.

English

University of Kentucky

University of Kentucky UKnowledge International Grassland Congress Proceedings 21st International Grassland Congress / 8th International Rangeland Congress Capability Assessments of Landsat Satellite Data for Vegetation Cover Monitoring (Case Study: Lar Dam Basin) S. A. R. Mousavi University of Tehran, Iran Mehdi Farahpour Research Institute of Forests and Rangelands of Iran, Iran S. Gholinejad University of Tehran, Iran Follow this and additional works at: https://uknowledge.uky.edu/igc  Part of the Plant Sciences Commons, and the Soil Science Commons This document is available at https://uknowledge.uky.edu/igc/21/5-2/5 The 21st International Grassland Congress / 8th International Rangeland Congress took place in Hohhot, China from June 29 through July 5, 2008. Proceedings edited by Organizing Committee of 2008 IGC/IRC Conference Published by Guangdong People's Publishing House This Event is brought to you for free and open access by the Plant and Soil Sciences at UKnowledge. It has been accepted for inclusion in International Grassland Congress Proceedings by an authorized administrator of UKnowledge. For more information, please contact UKnowledge@lsv.uky.edu. 　 Multifunctional Grasslands in a Changing World 　 Volume Ⅰ 　 瞯 ]695　 瞯Grasslands/Rangelands Resources and Ecology ——— Application of Information Technology in Monitoring and Managing Grasslands/Rangelands ResourcesCapability assessments of Landsat satellite data for vegetation cover monitoring (case study :LarDam Basin)Mousav i , S .A .R . , PhD student , University o f Tehran E‐mail sarmousav i＠ yahoo .com .Farahpour , M . , Research deputy , Research Institute o f Forests and Rangelands o f I ranGholine j ad , S . , PhD student , University o f TehranKey words : vegetation cover , monitoring , Landsat ７ ETM ＋ , Lar Dam BasinIntroduction Resources assessment using traditional methods is usually time‐consuming and expensive . Also high speed ofnature dynamism forced specialists to seek for quick and precise methods . Remote sensing and GIS are kinds of newtechnologies . We used Landsat ７ ETM ＋ data to monitor this dynamism in a semi‐steppic region of Iran .Materials and methods Landsat ７ ETM ＋ satellite data of ２００２ and also vegetation cover map of １９７６ were used for capabilityassessment of satellite data for preparing vegetation cover categories map and also vegetation monitoring in an area of about２７０００ ha in Lar Dam Basin .Sample points were selected af ter needed corrections . Appropriate band compositions were selected by paying attention toOptimum Index Factor ( OIF) , correlation matrix , Principal Components Analysis ( PCA) and ２‐dimensional diagram analysis .These compositions were classified using Maximum Likelihood , Minimum Distance and Box Classifier algorithms and thenMajority Filter was applied . Accuracy of resulted maps was evaluated by pixel to pixel method . Then Overall AccuracyCoefficient and Kappa Index were calculated . By considering these indices , the map resulted from classification of bandcomposition １２３４５７ with method of Maximum Likelihood and applying Majority Filter was selected as the vegetation cover mapof ２００２ . Vegetation cover map of １９７６ was used as the vegetation cover map of １９７６ . Then the changes happened in differentcategories was detected .Results and discussion Results showed that ２８ .５５％ of total area covered by range types in １９７６ was unchanged , １４畅０３％ wasdecreased to lower categories and ５７ .４２％ increased to higher ones . Table １ shows amounts of change in each category . Whenwe decreased our cover categories from １６ to ４ , we observed different amounts of change in the mentioned period and alsoOverall Accuracy and Kappa indices were promoted . The map of vegetation cover changes was prepared , finally .Table 1 Amounts o f change in cover categories .Category ( ％ ) Area at １９７６ ( ha) Area at ２００２ ( ha) Change０‐２５  ０ >.０ １５２９ .５ １５２９ 6.５２６‐５０ 0１８８７８ 殮.１ ５７２９  .９ ‐１３１４８ ].２５１‐７５ 0３０１ l.５ １１００１ +.７ １０７００ M.２７６‐１００ G１７９０ 儍.１ ２７０８  .６ ９１８ .５Conclusions We reached to acceptable amounts of Overall Accuracy and Kappa indices in this classification and it could beconcluded that ETM ＋ data are suitable for vegetation cover monitoring in similar conditions . As stated before , when wedecreased number of categories , amounts of cover fluctuations and accuracy of resulted maps were changed , as other authorslike Darvish Sefat (１９９８) and Alavi Panah (２０００) pointed out . Therefore , we have to pay a serious attention to precisely andaccurately definition of categories for classification of satellite data .ReferencesAlavi Panah , S .K . , ( ２０００ ) . Assessment of error resources for preparing maps from GIS and RS , CD of proceedings ,Conference of using GIS & RS in desert areas studies , University of Tehran and Forests and Rangelands Organization ofIran .Darvish Sefat , A .A . , (１９９８) . Remote sensing , Tehran : University of Tehran , １６４p .

Capability Assessments of Landsat Satellite Data for Vegetation Cover Monitoring (Case Study: Lar Dam Basin)

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Capability Assessments of Landsat Satellite Data for Vegetation Cover Monitoring (Case Study: Lar Dam Basin)

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