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7. Arekhi, S. 2011. Modeling spatial pattern of deforestation using GIS and logistic regression: a case study of northern Ilam forests, Ilam province, Iran, African Journal of Biotechnology, Vol.10, pp.16236-16249.

8. Atela, J.O.; C.H. Quinn, and P.A. Minang. 2014. Are REDD projects pro-poor in their spatial targeting? evidence from kenya, Applied Geography. 52: 14-24.

9. Bos, A.B.; V. De Sy, A.E. Duchelle, M. Herold, C. Martius, and N.E. Tsendbazar. 2019. Global data and tools for local forest cover loss and REDD+ performance assessment: Accuracy, uncertainty, complementarity and impact. International Journal of Applied Earth Observation and Geoinformation. 80: 295-311.

10. Brown, D.; D.S. Boyd, K. Brickell, C.D., Ives, N. Natarajan, and L. Parsons. 2021. Modern slavery, environmental degradation and climate change: Fisheries, field, forests and factories. Environment and Planning E: Nature and Space. 4(2), 191-207.

11. Eastman, J.R. 2006. IDRISI Andes. Guide to GIS and Image Processing. Clark Labs, Clark University, Worcester, MA.

12. Eastman, J.R. 2012(b). IDRISI Help System. Accessed in IDRISI Selva 17.02. Worcester, MA: Clark University.

13. Ebrahimnia, V.; M. Rasouli, and S. Zandieh. 2009. Land Use Allocation Methods and Models. Armanshahr Architecture & Urban Development. 2(2): 9-22. (In Persian).

14. Eckert, S.; H.R. Ratsimba, L.O. Rakotondrasoa, L.G. Rajoelison, and A. Ehrensperger. 2011. Deforestation and forest degradation monitoring and assessment of biomass and carbon stock of lowland rainforest in the Analanjirofo region Madagascar, Forest Ecology and Management. 262(11): 1996-2007.

15. Gaveau, D.L.A.; M. Kshatriya, D. Sheil, S. Sloan, E. Molidena, and A. Wijaya. 2013. Reconciling Forest Conservation and Logging in Indonesian Borneo. PLoS one. 8(8), e69887.

16. Gilmour, D. 2016. Forty Years of Community-Based Forestry: A Review of its Extent and Effectiveness, Food and Agriculture Organization of the United Nations (FAO), 176, 1-186.

17. Graham, V.; L. Nurhidayah, and R. Astuti. 2019. Reducing emissions from tropical deforestation and forest degradation, Encyclopedia of the World's Biomes, pp: 260-268.

18. Guadalupe, V.; E.D. Sotta, V.F. Santos, L.J.G., Aguiar, M. Vieira, C.P. de Oliveira, and J.V.N. Siqueira. 2018. REDD+ implementation in a high forest low deforestation area: Constraints on monitoring forest carbon emissions. Land Use Policy. 76:414-421.

19. http://www.ncc.org.ir

20. Harris, N.L.; S. Petrova, F. Stolle, and S. Brown. 2008. Identifying optimal areas for REDD intervention: East kaliman tan, Indonesia as case study, Environmental Research Letters, pp1-11.

21. Irmadi, N, and S. Yatin. 2017. Modeling Deforestation and Green Houses Gas Emissions in Morowali Utara District, Central Sulawesi Province, Indonesia, IOP Publishing, pp 1088- 1755.

22. Ji, Y, and R. Ranjan. 2019. A global climate-economy model including the REDD option. Journal of environmental management. 247: 342-355.

23. Kapos, V.; C. Ravilious, A. Campbell, B., Dickson, H. Gibbs, M. Hansen, I. Lysenko, L., Miles, J. Price, J.P.W., Scharlemann, and K. Trumper. 2008. Carbon and biodiversity, UNEP-WCMC, Cambridge. UK.

24. Khoi, D.D, and Y. Murayama. 2010. Forecasting areas vulnerable to forest conversion in the Tam Dao National Park Region, Vietnam, Journal of Remote Sensing, Vol. 2, pp. 1249-1272.

25. Kia-Daliri, H.; R. Akhavan, and I. Anissi. 2011. Timber marking and its impact on forest stand (Case study: Shourab district of Golband region). Iranian Journal of Forest. 3: 49 -59. (In Persian)

26. Kim, O.S. 2010. An assessment of deforestation models for reducing emissions from deforestation and forest degradation (REDD), Transactions in GIS. 14(5): 631-654.

27. Linkie, M.; R.J. Smith, and N. Leader-Williams. 2004. Mapping and predicting deforestation patterns in the lowlands of Sumatra. Biodiversity and Conservation. 13 (10), 1809-1818.

28. Lu, D.; P. Mausel, E., Brondi'zio, and E. Moran. 2004. Change detection techniques. International Journal of Remote Sensing, 25(12), 2365-2407.

29. Massarella, K.; S.M. Sallu, J.E. Ensor, and R. Marchant. 2018. REDD+, hype, hope and disappointment: The dynamics of expectations in conservation and development pilot projects. World Development, 109: 375-385.

30. Merten, B, and E.F. Lambin. 1997. Spatial modeling of tropical deforestation in southern Cameroon: spatial disaggregation of diverse deforestation processes. Applied Geography, 17 (2), 143-162.

31. Pearson, T.R.H.; S. Brown, and L. Murray. 2017. Greenhouse gas emissions from tropical forest degradation: an underestimated source. Carbon Balance Manage, 12: 3.

32. Pedroni, L.; A. Garcia, B. De jong, B. Schlamadinger, M., Steiniger, S. Brown, T. Pearson, K. Andrasko, and S. Scholz. 2008. BioCF RED Mosaic Methodology-Version1 of the BioCarbon Fund's proposed Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation. Published date: 2009/10/14, http://wbcarbonfi nance.org/Router.cfm? Page= Doclib&CatalogID=49189, Visited date: 2014/8/2.on its thirteen session held in Bali, from 3 to 15 December 2007.

33. Pedroni, L.; A. Garcia, De jong, B., Schlamadinger, B., Steiniger, M., Brown. S., Pearson, T., Andrasko, K., & Scholz. S. (2014). BioCF RED Mosaic Methodology-Version1 of the BioCarbon Fund's proposed Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation", Published date: 2009/10/14, available: http://wbcarbonfi nance.org/Router.cfm? Page=Doclib&CatalogID=49189.

34. Rafiee, R.; A. Salman Mahiny, and N. Khorasani. 2009. Assessment of changes in urban green spaces of Mashad city using satellite data, International Journal of Applied Earth Observation and Geoinformation, 11: 431-438.

35. Rajitha, K.; C. Mukherjee, R. Vinu Chandran, and M.Prakash Mohan. 2010. Landcover change dynamics and coastal aquaculture development: a case study in the East Godavari delta, Andhra Pradesh, India using multi-temporal satellite data ،International Journal of Remote Sensing, 30 ، (04) 6673 - 6667.

36. Rakatama, A.; M.S. Iftekhar, and R. Pandit. 2020. Perceived benefits and costs of REDD+ projects under different forest management regimes in Indonesia. Climate and Development. 12(5): 481-493.

37. Schulz, J.J.; C. Cayuela, C., Echeverria, J. Salas, and J.M, Rey Benayas. 2010. Monitoring land cover change of the dryland forest landscape of Central Chile (1975-2008), Applied Geography, 30: 436-447.

38. Sheng, J.; X. Han, H. Zhou, and Z. Miao. 2016. Effects of corruption on performance: Evidence from the UN-REDD Program. Land Use Policy. 59: 344-350.

39. Taheri, M.; M. Gholamalifard, A. Riahi Bakhtiari, and S. Rahimoghli. 2014. Land cover changes modeling of Tabriz township using artificial neural network and markov chain, Journal of Physical Geography Research Quarterly, Vol. 45, pp. 97-121.

40. Ty, S.; N. Sasaki, A.H. Ahmad, and A.Z. Zainal. 2011. REDD development in Cambodia-potential carbon emission reductions in a REDD project, Formath. 10: 1-23.

41. United Nations Framework Convention on Climate Change (UNFCCC). 2008. Report of the Conference of the Parties, on its thirteen session held in Bali, from 3 to 15 December 2007.

42. Vaclavik, T, and J. Rogan. 2009. Identifying trends in land use/land cover changes in the context of postsocialist transformation in Central Europe: A case study of the greater Olomouc region, Czech Republic. GIScience & Remote Sensing, 46 (1), 54-76.

43. Weishou, S.; J. Di, Z. Hui, Y. Yan Shouguang, H. Li, and L. Naifeng. 2011. The Response Relation between Climate Change and NDVI over the Qinghai-Tibet plateau, World Academy of Science, Engineering and Technology, International Science, Inde59, Vol 5, No 00, P 7838 - 7666.

44. Yuan, F.; K.E. Sawaya, B.C. Loeffelholz, and M.E. Bauer. 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan area by multitemporal Landsat remote sensing, Remote Sensing of Environment, 98: 317-328.

45. Zahedi, Q, and N. Zargham. 2014. Carbon sequestration in terrestrial ecosystems. University of Tehran Press.