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Vegetation cover type mapping in mouling national park in Arunachal Pradesh, Eastern Himalayas- an integrated geospatial approach

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Abstract

Improving image classification and its techniques have been of interest while handling satellite data especially in hilly regions with evergreen forests particularly with indistinct ecotones. In the present study an attempt has been made to classify evergreen forests/vegetation in Moulirig National Park of Arunachal Pradesh in Eastern Himalayas using conventional unsupervised classification algorithms in conjunction with DEM. The study area represents climax vegetation and can be broadly classified into tropical, subtropical, temperate and sub-alpine forests. Vegetation pattern in the study area is influenced strongly by altitude, slope, aspect and other climatic factors. The forests are mature, undisturbed and intermixed with close canopy. Rugged terrain and elevation also affect the reflectance. Because of these discrimination among the various forest/vegetation types is restrained on satellite data. Therefore, satellite data in optical region have limitations in pattern recognition due to similarity in spectral response caused by several factors. Since vegetation is controlled by elevation among other factors, digital elevation model (DEM) was integrated with the LISS III multiband data. The overall accuracy improved from 40.81 to 83.67%. Maximum-forested area (252.80 km2) in national park is covered by sub-tropical evergreen forest followed by temperate broad-leaved forest (147.09 km2). This is probably first attempt where detailed survey of remote and inhospitable areas of Semang sub-watershed, in and around western part of Mouling Peak and adjacent areas above Bomdo-Egum and Ramsingh from eastern and southern side have been accessed for detailed ground truth collection for vegetation mapping (on 1:50,000 scale) and characterization. The occurrence of temperate conifer forests and Rhododendron Scrub in this region is reported here for the first time. The approach of DEM integrated with satellite data can be useful for vegetation and land cover mapping in rugged terrains like in Himalayas.

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References

  • Behera, M.D., Jeganathan, C., Srivastava, S., Kushwaha, S.P.S. and Roy, P.S. (2000a). Utility of GPS in Classification Accuracy Assessment.Current Science 79(12): 1696–1700.

    Google Scholar 

  • Behera, M.D., Srivastava, S., Kushwaha, S.P.S. and Roy, P.S. (2000b). Stratification and mapping ofTaxus baccata L. bearing forest in Talle valley using Remote Sensing and GIS.Current Science,78(8): 1008–1013.

    Google Scholar 

  • Birand, A. and Pawar, S. (2004). An ornithological survey in north-east India,Forktail,20: 15–24.

    Google Scholar 

  • Boyed, D.S., Foody, G.M., Curran, P.J., Lucas, R.M. and Honzak, M. (1996). An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration.International Journal of Remote Sensing,17: 249- 261.

    Article  Google Scholar 

  • Calvà, T. and Palmeirim, J.M. (2004). Mapping Mediterranean scrub with satellite imagery: biomass estimation and spectral behaviour,International Journal of Remote Sensing,25(16): 3113–3126.

    Article  Google Scholar 

  • Champion, H.G and Seth, S.K. (1968). A Revised Survey of Forest Types of India. Delhi.

  • Chauhan, A.S., Singh, K.P. and Singh, D.K. (1996). A Contribution to the Flora of Namdapha, Arunachal Pradesh (ed. P.K. Hajra), Botanical Survey of India, Kolkata.

    Google Scholar 

  • Chen, Z.M., Babiker, I.S., Chen, Z.X., Komaki, K., Mohamed, M.A.A. and Kato, K. (2004). Estimation of interannual variation in productivity of global vegetation using NDVI.International Journal of Remote Sensing,25(16): 3139–3159.

    Article  Google Scholar 

  • Chennaiah, G. Ch., Dutta, H. and Dutta, S.K. (1998). Remote Sensing applications for sustainable development for land and water resources - A case study in Pashighat area. In: Perspectives for Planning and Development in North East India (eds. R.C. Sundriyal, Uma Shankar and T.C. Upreti).Himvikas Occasional Publication, No.11: 32–39.

  • Colby, J. D. (1991). Topographic normalization in rugged terrain.Photogrammetric Engineering & Remote Sensing,57: 531–537.

    Google Scholar 

  • Davis, F.W. and Goetz, S. (1990). Modeling vegetation pattern using digital terrain data.Landscape Ecology,4: 69–80.

    Article  Google Scholar 

  • DeFries, R.S. and Townshend, J.R.G. (1994). NDVI-derived land cover classification at global scales.Internationaljournal of Remote Sensing,15: 3567- 3586.

    Article  Google Scholar 

  • Duguay, C.R. and LeDrew, E.F. (1992). Estimating surface reflectance and albedo from Landsat-5 TM over rugged terrain.Photogrammetric Engineering Remote Sensing,58: 551–558.

    Google Scholar 

  • Ekstrand, S. (1996). Landsat TM based forest damage assessment: Correction for topographic effects.Photogrammetric Engineering Remote Sensing,62: 151–161.

    Google Scholar 

  • Fahsi, A., Tsegaye, T., Tadesse, W. and Colman, T. (2000). Incorporation of digital elevation models with Landsat-TM data to improve land cover classification accuracy,Forest Ecology and Management,128: 57–64.

    Article  Google Scholar 

  • FSI (2002). State of Forest Report 2001. Forest Survey of India. Ministry of Environment & Forests, Forest Survey of India, Dehra Dun.

    Google Scholar 

  • FSI (2005). State of Forest Report 2003. Forest Survey of India. Ministry of Environment and Forests, Dehra Dun.

    Google Scholar 

  • Gastellu-Etchegorry, J.P., Estregull, C. and Mougin, E. (1993). A GIS based methodology for small scale monitoring of tropical forests - a case study in Sumatra.International Journal of Remote Sensing,14: 2349–2368.

    Article  Google Scholar 

  • Hunt, E.R. Jr. and Rock, B.N. (1989). Detection of changes in Leaf Water Content using Near- and Middle-infrared reflectances.Remote Sensing of Environment 30: 43–54.

    Article  Google Scholar 

  • URS (2002). Biodiversity characterization at landscape level in Arunachal Pradesh using satellite remote sensing and geographic information system, a joint study of Department of Biotechnology and Department of Space, URS, Dehra Dun.

    Google Scholar 

  • Kaul, R.N. and Haridasan, K. (1987). Forest Types of Arunachal Pradesh - A preliminary study.Journal of Economic and Taxonomic Botany,9(2): 379–389.

    Google Scholar 

  • Lepricur, C, Durand, J.M. and Peyron, J.L. (1988). Influence of topography on forest reflectance using Landsat Thematic mapper and digital terrain data.Photogrammetric Engineering Remote Sensing, 54: 491–496.

    Google Scholar 

  • Lillesand, T.M. and Kiefer, R.W. (2002). Remote Sensing, and Image Interpretation. John Wiley and Sons, Singapore, Fourth edition.

    Google Scholar 

  • Malingreau, J.P., Achard, F. and Estreguil, C. (1996). NOAA AVHRR based tropical forest mapping for south-east Asia, validated and calibrated with higher spatial resolution imagery. Advances in the use of NOAA AVHRR Data for Land applications, (eds. G.D. Souza, Belward, A.S. and Malingreau, J.P.) ECSC, EEC, EAEC, Brussels and Luxembourg, Printed in the Netherlands, pp.279–310.

    Google Scholar 

  • NRSA (1982). Satellite Remote Sensing surveys of resources of lower reaches of Arunachal Pradesh. A project report from National Remote Sensing Agency, Hyderabad.

  • Palacio-Prieto, J.L. and Luna-Gonzalez, L. (1996). Improving spectral results in a GIS context.International Journal of Remote Sensing,17: 2201- 2209.

    Article  Google Scholar 

  • Porwal, M.C., Roy, P.S., Singh, S. and Kurian, A.J. (1992). Importance of middle infrared band for classifying mangrove vegetation and plantation in Middle Andaman Islands. Proc. National Symposium on Remote Sensing for Sustainable Development, Nov. 17–19, 1992, Lucknow, pp. 30–36.

  • Rao, A.S. (1974). Vegetation and Phytogeography of Assam-Burma, Ecology & Biogeography in India (Ed. M.S. Mani) The Hague, pp.204–246.

  • Rao, A.S. and Hajra, P.K. (1986). Fern allies and ferns of Kameng district, Arunachal Pradesh.Indian Forester,106(5): 327–349. pl. 1–2.

    Google Scholar 

  • Rao, A.S. and Panigrahi, G. (1961). Distribution of vegetational types and their dominant species in Eastern India.Journal of Indian Botanical Society 40(2): 274–285. map I-II.

    Google Scholar 

  • Rao, R.S. (1972). Botanical Works in Arunachal Pradesh.Arunachal Forest News.

  • Rao, V.R., Breach, E.J. and Mack, A.R. (1978). Crop discriminability in the visible and near Infrared regions.Photogrammetric Engineering and Remote Sensing 11: 1179–1184.

    Google Scholar 

  • Riano, D., Chuvieco, E., Salas, J. and Aguado, I. (2003). Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types.IEEE Transactions on Geoscience and Remote sensing,41(5): 1056–1061.

    Article  Google Scholar 

  • Roy, P.S., Kaul, R.N., Sharma, M.R. and Garbyal, S.S. (1983). Forest type stratification and delineation of shifting cultivation areas in the Eastern part of Arunachal Pradesh using Landsat MSS data. InNational Natural Resources Management System (NNRMS), National Seminar, May 10–12, 1983, National Remote Sensing Agency, Hyderabad.

    Google Scholar 

  • Sharma, S.A., Bhatt, H.P. and Ajai (1995). Oilseed crop discrimination: Selection of optimum bands and role middle infrared.Journal of Photogrammetry and Remote Sensing 50(5): 25–30.

    Article  Google Scholar 

  • Singh, K. D. (2002). Development of Natural Resources in Arunachal Pradesh - Prospects and Problems.Himvikas Occasional Publication No. 16:109–115.

  • Singh, S. and Panigrahi, G. (2005). Ferns & Fern-Allies of Arunachal Pradesh, M/S Bishen Singh Mahendra Pal Singh, Dehra Dun, 1:10–30.

    Google Scholar 

  • Singh, S. and Singh, T.P. (2002). Arunachal Pradesh (Eastern). In P.S. Roy: Biodiversity Characterization at Landscape level using satellite remote sensing and geographic information system in North Eastern India, Department of Biotechnology and Department of Space, URS, Dehra Dun, pp. 52–67.

    Google Scholar 

  • Singh, T.P., Singh, S. and Roy, P.S. (2003). Assessing Jhum-Induced Forest Loss in Dibang Valley, Arunachal Himalayas- A Remote Sensing Perspective. Photonirvachak,Journal of Indian Society of Remote Sensing,31(1): 3–9.

    Article  Google Scholar 

  • Singh, T.P., Singh, S., Roy, P.S. and Rao, B.S.P. (2002). Vegetation Mapping and Characterization in West Siang District of Arunachal Pradesh, India- a Satellite Remote Sensing - based approach,Current Science,83(10): 1221–1230.

    Google Scholar 

  • Strahler, A.H. (1981). Stratification of natural vegetation for forest and range-land inventory using Landsat digital imagery and collateral data.International Journal of Remote Sensing,2: 15–41.

    Article  Google Scholar 

  • Thomson, A.G and Jones, C. (1990). Effect of topography on radiance from upland vegetation in North Wales.International Journal of Remote Sensing,11: 829–840.

    Article  Google Scholar 

  • Tokola, T., Sarkeala, J. and Van der Linden, M. (2001). Use of topographic correction in Landsat TM-based forest interpretation in Nepal.International Journal of Remote Sensing,22: 551–563.

    Article  Google Scholar 

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Authors and Affiliations

  1. Forestry and Ecology Division, Indian Institute of Remote Sensing 4, Kalidas Road, 248001, Dehradun, India

    Sarnam Singh & Gaurav Srivastava

  2. NRDMS Center, Kumaun University Campus, 263002, Nainital, India

    T. P. Singh

Authors
  1. Sarnam Singh
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  2. T. P. Singh
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  3. Gaurav Srivastava
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Correspondence to Sarnam Singh.

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Singh, S., Singh, T.P. & Srivastava, G. Vegetation cover type mapping in mouling national park in Arunachal Pradesh, Eastern Himalayas- an integrated geospatial approach. J Indian Soc Remote Sens 33, 547–563 (2005). https://doi.org/10.1007/BF02990740

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  • DOI: https://doi.org/10.1007/BF02990740

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