Estimating and mapping forest biomass using regression models and Spot-6 images (case study: Hyrcanian forests of north of Iran)

Author:

Motlagh Mohadeseh Ghanbari,Kafaky Sasan Babaie,Mataji Asadollah,Akhavan Reza

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference45 articles.

1. Amirnejad, H., Khalilian, S., Assareh, M., & Ahmadian, M. (2006). Estimating the existence value of north forests of Iran by using a contingent valuation method. Ecological Economics, 58, 665–675.

2. Aricak, B., Bulut, A., Altunel, A. O., & Sakici, O. E. (2015). Estimating above-ground carbon biomass using satellite image reflection values: a case study in camyazi forest directorate, Turkey. Journal of the Forestry Society of Croatia, 139(7-8), 369–376.

3. BMUFMFCBCHFL. (2016). Building a multiple-use forest management framework to conserve biodiversity in the Caspian Hyrcanian Forest landscape. Caspian Hyrcanian Forest project empowered communities sustainable Forest, global heritage. Faculty of Natural Resources, University of Tehran, IRAN associated with UNDP. 236pp.

4. Clerici, N., Rubiano, K., Abd-Elrahman, A., Posada Hoestettler, J. M., & Escobedo, F. J. (2016). Estimating aboveground biomass and carbon stocks in periurban Andean secondary forests using very high resolution imagery. Journal of Forests, 7(138), 17. https://doi.org/10.3390/f7070138 .

5. Deb, D., Singh, J. P., Deb, S., Datta, D., Ghosh, A., & Chaurasia, R. S. (2017). An alternative approach for estimating above ground biomass using Resourcesat-2 satellite data and artificial neural network in Bundelkhand region of India. Environmental Monitoring and Assessment, 189(11), 576, 12p. https://doi.org/10.1007/s10661-017-6307-6 .

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