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Forest density and orchard classification in Hyrcanian forests of Iran using Landsat 8 data

Author

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  • Khosrow MIRAKHORLOU
  • Reza AKHAVAN

    (Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran)

Abstract

Satellite-based remote sensing is of crucial importance to provide timely and continuous thematic maps for practical forestry tasks. There is currently no existing remote sensing-based, large-scale inventory of canopy cover classes (and also adjacent orchards) on the full range of Hyrcanian forests. We used the freely available and large-scale coverage of Landsat 8 imagery acquired in 2014 to classify three forest density classes as well as non-forest and orchards. The supervised classification and support vector machine classifier were selected based on a pre-classification of three representative pilot regions. Classified final maps were validated by means of a two-stage sampling and 1,852 field samples. The total areas of the dense, semi-dense, sparse forests and orchards were 45, 36, 19 and 1.9% of the total studied area, respectively. The overall accuracy and Kappa coefficient of classified maps were 94.8 and 90%, respectively. The methodology introduced to map forest cover in Hyrcanian forests is concluded to enable providing a high quality forest database for further research, planning and management.

Suggested Citation

  • Khosrow MIRAKHORLOU & Reza AKHAVAN, 2017. "Forest density and orchard classification in Hyrcanian forests of Iran using Landsat 8 data," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(8), pages 355-362.
    • Handle: RePEc:caa:jnljfs:v:63:y:2017:i:8:id:15-2017-jfs
    DOI: 10.17221/15/2017-JFS
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    Cited by:

    1. Mohadeseh Ghanbari Motlagh & Sasan Babaie Kafaky & Asadollah Mataji & Reza Akhavan, 2019. "Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 65(12), pages 493-503.

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