Exponential Micro Scale of Forest’s Map by Satellite Data of Sensor OLI, Case Study: Forests of Golestan Province, Iran

Akram Karimi, Sara Abdollahi, Saeid Eslamian, Kaveh Ostad-Ali-Askari, Vijay P. Singh

Article ID: 473
Vol 2, Issue 1, 2019, Article identifier:1-7

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Identify and diagnosis of homogenous units and separating them and eventually planning separately for each unit are considered the most principled way to manage units of forests and creating these trustable maps of forest’s types, plays important role in making optimum decisions for managing forest ecosystems in wide areas. Field method of circulation forest and Parcel explore to determine type of forest require to spend cost and much time. In recent years, providing these maps by using digital classification of remote sensing’s data has been noticed. The important tip to create these units is scale of map. To manage more accurate, it needs larger scale and more accurate maps. Purpose of this research is comparing observed classification of methods to recognize and determine type of forest by using data of Land Cover of Modis satellite with 1 kilometer resolution and on images of OLI sensor of LANDSAT satellite with 30 kilometers resolution by using vegetation indicators and also timely PCA and to create larger scale, better and more accurate resolution maps of homogenous units of forest. Eventually by using of verification, the best method was obtained to classify forest in Golestan province’s forest located on north-east of country.


Observed Classification; Homogenous Units; Forest Management; EVI2 Indicator; Scale

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Etemad, Vahid. Namiranian/F Manouchehr. Zabiri, Mahmoud. Majnounian, Baris. Moradi, Gholamhossein. 2013 qualitative and quantitative changes of forest masses after performing one period of forestation plan. Jungle publication and wood manufactures. Iran natural sources magazine, period 66 number 3 autumn 2013.

Zabiri M 2000 census and measuring in forest, publication of University of Tehran, third year

Daghestani Maryam 2009, usage of remote sensing science in managing forest, first local conference of geometric.

Feizizadeh, Bakhtiar. Helali , Hasan 2009, comparing methods of Object-orient programming base pixel and effective parameters in category of land usage cover of West Azerbaijan Province, Natural Geographical researches, number 71, spring 2009.

Lotfi, Sadigheh. Mahmoudnejad, Hasan. Abdollahi, Mehdi. Farrokhi, Roghieh 2010, usage of SPOT satellite’s images to provide land usage map of Marand city by Object-orient programming, remote sensing’s usage and Geographical information system in planning Magazine, quarterly of first year number 2 winter 2010.

Alavipanah, Seyed Kazem, usage of remote sensing in Geology, publication of University of Tehran

Modgan, Paul., Fischer,Chistoph., Fuchs Hans ., Kleinn, Christoph .2014 Trenslationg criteria of international forest definitions into remote sensing analysis , remotely sensing of envormental ,149pp252-262 -- Huang, .L and Ni.L. 2008, Object-Oriented Classification ofHigh Resolution Satellite Image for Better Accuracy, Proceedingsof the 8th International Symposium on Spatial Accuracy Assessmentin Natural Resources and Envir

DOI: http://dx.doi.org/10.24294/jgc.v1i2.473


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