Assessing spatio-temporal health of forest cover using forest canopy density model and forest fragmentation approach in Sundarban reserve forest, India

Modeling Earth Systems and Environment

Volumn 1, Issue 4, 2015, Pages

  Sahana, Mehebub ^a   Sajjad, Haroon ^a   Ahmed, Raihan ^a  

^a JAMIA MILLIA ISLAMIA CENTRAL UNIVERSITY   (India)

Author keywords

Forest canopy density (FCD); Forest fragmentation; Remote sensing; Sundarban reserve forest

Indexed keywords

ENVIRONMENTAL MODELING; FOREST CANOPY; FOREST COVER; FOREST MANAGEMENT; HABITAT FRAGMENTATION; RISK ASSESSMENT; SPATIAL VARIATION; TEMPORAL VARIATION;

INDIA; SUNDARBANS NATIONAL PARK; WEST BENGAL;

EID: 85026556007     PISSN: 23636203     EISSN: 23636211     Source Type: Journal    
DOI: 10.1007/s40808-015-0043-0     Document Type: Article

References (46)

1. Anonymous (1993) Rehabilitation of logged over forests in Asia/Pacific region. Final report of sub project II International Tropical Timber Organization—Japan Overseas Forestry Consultants Association, pp 1–78
2. Azizia Z, Najafi A, Sohrabia H (2008) Forest Canopy Density Estimating, Using Satellite Images. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol XXXVII, Part B8, Beijing
3. Banerjee AK (1964) Forests of Sundarbans, Centenary Commemoration Volume. Writer’s Building, Kolkata
4. Banerjee, LK (2002) Sundarbans. In Floristic Diversity and Conservation Strategies in India, vol. V, Botanical Survey of India; Shing, N.P., Shing, K.P., Eds.; Ministry of Environment and Forests: New Delhi, India, pp 2801–2829
5. Baynes J (2007) Using FCD Mapper software and landsat images to assess forest canopy density in landscapes in Australia and the Philippines. Annal Trop Res 29(1):9–20
6. Bhushan C (2012) Living with changing climate: impact, vulnerability and adaptation challenges in Indian Sundarbans.” Research report, Centre for science and environment, New Delhi, India.
7. Biradar CM, Saran S, Raju PLN, Roy PS (2005) Forest Canopy Density Stratification: How Relevant is Biophysical Spectral Response Modelling Approach?. Geocarto Int 20(1):1–7
8. Blasco F (1975) The Mangroves of India. Institute Francais De Pondicherry, Pondicherry, p 175
9. Brown NR, Noss RF, Diamond DD, Myers MN (2001) Conservation biology and forest certification: working together toward ecological sustainability. J. For 99:18–25
10. Chakraborty SK (2010) Coastal Environmental of Midnapore, West Bengal: Potential Threats and Management. J of Coastal Environ 1(1):27–40
11. Chapungu L, Takuba N, Zinhiva H (2014) A multi-method analysis of forest fragmentation and loss: The case of ward 11, Chiredzi District of Zimbabwe. Academic J 8(2):121–128
12. Chaudhuri AB, Choudhury A (1994) Mangroves of the Sundarbans., vol IIUCN, The World Conservation Union, India
13. CLEAR (2002) Forest Fragmentation in Connecticut: 1985–2006 Center for Land use Education and Research. http://www.clear.uconn.edu/projects/landscape/forestfrag. Accessed 05 May 2015
14. Defries RS, Hansen MC, Townshend JRG (1995) Global discrimination of land cover types from metrics derived from AVHRR Pathfinder data. Remote Sens Environ 54:209–222 DOI: 10.1016/0034-4257(95)00142-5
15. Deka J, Tripathi OP, Khan ML (2012) Implementation of Forest Canopy Density Model to Monitor Tropical Deforestation. J Indian Soc Remote Sens 41(2):469–475. doi:10.1007/s12524-012-0224-5 DOI: 10.1007/s12524-012-0224-5
16. FAO (2010) Global forest resources assessment 2010—main report. FAO Forestry Paper No. 163. Rome. http://www.fao.org/docrep/013/i1757e/i1757e00.htm
17. Forman RTT (1995) Land mosaics: the ecology of landscapes and regions. Cambridge University Press, United Kingdom 652 p
18. Garcia-Gigorro S, Saura S (2014) Forest fragmentation estimated from remotely sensed data: is comparison across scales possible? For Sci 51(1):51–63
19. Giri S, Mukhopadhyay A, Hazra S, Mukherjee S, Roy D, Ghosh S, Ghosh T, Mitra D (2014) A study on abundance and distribution of mangrove species in Indian Sundarban using remote sensing technique. J Coast Conserv. doi:10.1007/s11852-014-0322-3
20. Godinho S, Gil A, Guiomar N, Neves N (2014) Teresa Pinto-CorreiaA remote sensing-based approach to estimating montado canopy density using the FCD model: a contribution to identifying HNV farmlands in southern Portugal. Agroforest Syst. doi:10.1007/s10457-014-9769-3
21. Gopal B, Chauhan M (2006) Biodiversity and its conservation in the Sundarban mangrove ecosystem. Aquat Sci. 68(3):338–354. DOI: 10.1007/s00027-006-0868-8
22. Haila Y (1999) Islands and fragments. In: Hunter ML (ed) Mantaining biodiversity in forest ecosystems. Cambridge University Press, United Kingdom, pp 234–264 DOI: 10.1017/CBO9780511613029.009
23. Harris LD (1984) The fragmented forest: Island biogeography theory and the preservation of biotic diversity. University of Chicago Press. Chicago, IL, p 211
24. Hasmadi MI, Pakhriazad HZ, Norlida K (2011) Remote sensing for mapping ramsar heritage site at Sungai Pulai Mangrove forest reserve, Johor. Malaysi Sains Malays 40(2):83–88
25. Islam MJ, Alam MS, Elahi KM (1997) Remote sensing for change detection in the Sundarbans, Bangladesh. Geocarto International 12, 91 ed 100 http://www.dx.doi.org/10.1080/10106049709354601
26. Lwin KK (2010) Estimation of landsat TM surface temperature using ERDAS imagine spatial modular. SIS tutorial series, 2010 by division of spatial information science. Copyright © 2010 by Division of Spatial Information Science. http://giswin.geo.tsukuba.ac.jp/sis/tutorial/koko/SurfaceTemp/SurfaceTemperature.pdf.
27. Li M, Huang C, Zhu Z, Wen W, Xu D, Liu A (2009) Use of remote sensing coupled with a vegetation change tracker model to assess rates of forest change and fragmentation in Mississippi, USA. Int J Remote Sensing.30(24):6559–6574
28. Mandal RN, Das CS, Naskar KR (2010) Dwindling Indian Sundarban mangrove. Sci Cult 76(7–8):275–282
29. Mon MS, Kajisa T, Mizoue N, Yoshida S (2010) Monitoring deforestation and forest degradation the Bago mountain area, Myanmar using FCD Mapper. J Rr Hann l5:63–Z2C201W
30. Mon MS, Mizoue N, Htun NZ, Kajisa T, Yoshida S (2012) Estimating forest canopy density of tropical mixed deciduous vegetation using Landsat data: a comparison of three classification approaches. Int J Remote Sens 33(4):1042–1057 DOI: 10.1080/01431161.2010.549851
31. Nandy S, Joshi PK, Das KK (2003) Forest canopy density stratification using biophysical modeling. J Indian Soc Remote Sens 31(4):2003 DOI: 10.1007/BF03007349
32. Nugroho S (2011) Method for detecting of forest degradation method using landsat satellite images to support MRV REDD in Halimun Salak National Park. INAFOR 11D-029, Bogor, 5–7 December 2011
33. Panta M (2003) Analysis of forest canopy density and factors affecting it using RS and GIS techniques: a case study from Chitwan district of Nepal. International Institute for Geo-information Science and Earth Observation, Netherlands
34. Panta M, Kim M (2006) Spatio-temporal dynamic alteration of forest canopy density based on site associated factors: view from tropical forest of Nepal. Korean J Remote Sens 22(5):1–11
35. Parry BA, Vogt KA, Beard KH (2000) Landscape spatial patterns and edges. In: Vogt KA, Larson BC, Gordon JC, Vogt DJ, Fanzeres A (eds) Forest certification: roots, issues, challenges and benefits. CRC Press, Boca Raton, pp 194–198
36. Prasad PRC, Nagabhatla N, Reddy CS, Gupta S, Rajan KS, Raza SH, Dutt CBS (2009) Assessing forest canopy closure in a geospatial medium to address management concerns for tropical islands—south east Asia. Environ Monit Assess. doi:10.1007/s10661-008-0717-4 (Springer Science + Business Media B.V. 2009)
37. Ray R, Paul Ak, Basu B (2013) Application of Supervised Enhancement Technique in Monitoring the Mangrove Forest Cover Dynamics- A Study on Ajmalmari Reserve Forest, Sundarban, West Bengal. Int J Remote Sens Geosci 2(1):16–21
38. Rikimaru A (1996) LANDSAT TM Data processing guide for forest canopy density mapping and monitoring model. In: ITTO workshop on utilization of remote sensing in site assessment and planning for rehabilitation of logged-over forests. Bangkok, Thailand, pp. 1–8, (July 30–August 1, 1996)
39. Rikimaru A, Miyatake S (1997) Development of Forest Canopy Density Mapping and Monitoring Model using Indices of Vegetation, Bare soil and Shadow. – ACRS 1997.
40. Rikimaru A, Roy PS, Miyatake S (2002) Tropical forest cover density mapping. Int Soc Trop Ecol 43(1):39–47 (ISSN 0564-3295)
41. Roy PS, Sharma KP, Jain A (1996) Stratification of density in dry deciduous forest using satellite remote sensing digital data—an approach based on spectral indices. J Biosci 21(5):723–734 DOI: 10.1007/BF02703148
42. Roy PS, Miyatake S Rikimaru A (1997) Biophysical spectral response modeling approach for forest density stratification. In: Proceedings of the 18th Asian conference on remote sensing. http://www.a-a-r-s.org/aars/proceeding/ACRS1998/Papers/PS298-4.htm. Accessed 11 Nov 2015.
43. Saunders DA, Hobbs RJ, Margules CR (1991) Biological consequences of ecosystem fragmentation: a review. Conserv Biol 5:18–32 DOI: 10.1111/j.1523-1739.1991.tb00384.x
44. Vogt P, Riitters KH, Estreguil C, Kozak J, Wade TG, Wickham JD (2007) Mapping spatial patterns with morphological image processing. Landscape Ecol 22:171–177. doi:10.1007/s10980-006-9013-2 DOI: 10.1007/s10980-006-9013-2
45. Wang Z, Brenner A (2009) An integrated method for forest canopy cover mapping using landsat ETM+ imagery. ASPERS/MAPRS2009 fall conference November 16–19, San Antonio, Texas
46. Wilkie ML, Fortune S (2003) Status and trends of mangrove area worldwide. Forest Resources Assessment Working Paper No. 63. Food and Agriculture Organization of the United Nations, Rome.