Abstract
Land use/land cover (LULC) change is an extremely significant driving component of ecological degradation in tropical regions where forests are under risk due to various anthropogenic activities. The present study appraises changing pattern of LULC (1999–2017) over the Intanki National Park (INP) in Nagaland (India) using Landsat imageries. Moreover, the study attempts to assess the evaluation of forested landscape at the patch, class and landscape levels of study region. At the class level, distinctive measurements of forest and non-forest classes during the period were compared. The study reveals that several patches were developed in the southern part of that INP while the north-eastern region has lost majority of its forest. The forest constituted 95% in 1999 which was reduced to 84% in 2017. The accuracy assessment of LULC maps derived from satellite imageries indicated > 87% concurrence with the test dataset. This study will be helpful for policy makers to realize the landscape arrangement and plan the region for sustainable growth.
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References
Ashish D, Hoogenboom G, McClendon RW (2004) Land-use classification of gray-scale aerial images using artificial neural networks. Transactions of the ASAE 47:1813–1819
Bell M, Walker MJC (2005) Late quaternary environmental change: physical and human perspectives. Routledge, 2nd Edition. pp. 368
BotequilhaLeitão A, Miller J, Ahern J, McGarigal K (2006) Measuring landscapes. Island, Washington, DC
BotequilhaLeitáo L, Ahern J (2002) Applying landscape ecological concepts and metrics in sustainable landscape planning. Landsc Urban Plan 59:65–93
Brown DG, Duh JD, Drzyzga SA (2000) Estimating error in an analysis of forest fragmentation change using North American Landscape Characterization (NALC) data. Remote Sens Environ 71:106–117
Cumming S, Vernier P (2002) Statistical models of landscape pattern metrics, with applications to regional scale dynamic forest simulations. Landsc Ecol 17:433–444
Cushman SA, McGarigal K, Neel MC (2008) Parsimony in landscape metrics: Strength, universality, and consistency. Ecol Indicat 8:691–703
De Groot R (2006) Function-analysis and valuation as a tool to assess land use conflicts in planning for sustainable, multi-functional landscapes. Landsc Urban Plan 75:175–186
The Food and Agriculture Organization (FAO) of the United Nations (2010) Global Forest Resources Assessment 2010. Main report 1-378
Fischer J, Lindenmayer DB (2007) Landscape modification and habitat fragmentation: a synthesis. Global Ecol Biogeog 16:265–280
Forman RT (1995) Some general principles of landscape and regional ecology. Landsc Ecol 10:133–142
Gabril EMA, Denis DM, Nath S, Paul A, Kumar M (2019) Quantifying LULC change and landscape fragmentation in Prayagraj district, India using geospatial techniques. Pharm Innov J 8:670–675
Goparaju L, Tripathi A, Jha CS (2005) Forest fragmentation impacts on phytodiversity-An analysis using remote sensing and GIS. Curr Sci 88:1264–1274
Griffith JA, Mantinko EA, Price KP (2000) Landscape structure analysis of Kansas at three scales.Landsc Urban Plan 52:45–61
Günlü A, Kadıoğulları AI, Keleş S, Başkent EZ (2009) Spatiotemporal changes of landscape pattern in response to deforestation in Northeastern Turkey: a case study in Rize. Environ Monit Assess 148:127–137
Hanski I (2005) Landscape fragmentation, biodiversity loss and the societal response. EMBO Rep 6:388–392
Jensen JR (1996) Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall, pp. 316
Kumar M, Denis DM, Singh SK, Szabó S, Suryavanshi S (2018) Landscape metrics for assessment of land cover change and fragmentation of a heterogeneous watershed. Remote Sens Appl Soc Environ 10:224–233
Laurance WF (2000) Mega-development trends in the Amazon: implications for global change. Environ Monit Assess 61:113–122
Li H, Wu J (2004) Use and misuse of landscape indices. Landsc Ecol 19:389–399
Li X, Lu L, Cheng G, Xiao H (2000) Quantifying landscape structure of the Heihe River Basin, north-west China using FRAGSTAT. J Arid Environ 48:521–535
Matsushita B, Xu M, Fukushima T (2006) Characterizing the changes in landscape structure in the Lake Kasumigaura, Japan using a high-quality GIS dataset. Landsc Urban Plan 78:241–250
McGarigal K, Marks BJ (1995) Spatial pattern analysis program for quantifying landscape structure. General Technical Report PNW-GTR-351 US Department of Agriculture, Forest Service, Pacific Northwest Research Station.pp 122
McGarigal K, Cushman SA, Neel MC, Ene E (2002) FRAGSTATS: spatial pattern analysis program for categorical maps. Amherst: Computer software program produced by the authors at the University of Massachusetts. Available from http://www.umass.edu/landeco/research/fragstats/fragstats.html
Midha N, Mathur PK (2010) Assessment of forest fragmentation in the conservation priority Dudhwa landscape, India using FRAGSTATS computed class level metrics. J India Soc Remote Sens 38:487–500
Olsen LM, Dale VH, Foster T (2006) Landscape patterns as indicators of ecological change at Fort Benning, Georgia, USA. Landsc Urban Plan 79:137–149
Reed RA, Johnson-Barnard J, Baker WL (1996) Fragmentation of a forested Rocky Mountain landscape 1950–1993. Biol Conserv 75:267–277
Riitters KH, O’Neill RVO, Hunsaker CT, Wickham JD, Yankee DH, Timmins SP, Jones KB, Jackson BL (1995) A factor analysis of landscape pattern and structure metrics. Landsc Ecol 10:23–39
Singh SK, Srivastava PK, Szabo S, Petropoulos GP, Gupta M, Islam T (2016) Landscape transform and spatial metrics for mapping spatiotemporal land cover dynamics using earth observation data-sets. GeocartoInt 32:113–127
Southworth J, Munroeb D, Nagendra H (2004) Land cover change and landscape fragmentation comparing the utility of continuous and discrete analyses for a western Honduras region. Agricul Ecosyst Environ 101:185–205
Srivastava PK, Mukherjee S, Gupta M, Islam T (2014) Remote sensing applications in environmental research. (Eds) Switzerland: Springer Verlag, pp. 212
Strahler AH (1980) The use of prior probabilities in maximum likelihood classification of remotely sensed data. Remote Sens Environ 10:135–163
Tang J, Wang L, Yao Z (2006) Analyzing urban sprawl spatial fragmentation using multi-temporal satellite images. Gisci Remote Sens 43:218–232
Thapa GJ, Wikramanayake E, Jnawali SR, Oglethorpe J, Adhikari R (2016) Assessing climate change impacts on forest ecosystems for landscape-scale spatial planning in Nepal. Curr Sci 110:345–352
Wu J (2008) Landscape ecology. In: Jorgensen SE (ed) Encyclopedia of Ecology. Elsevier, Oxford, p 2780
Wu J, Hobbs R (2007) (Eds.) Key Topics in Landscape Ecology. University Press, Cambridge. pp. 297
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Authors affirm their earnest gratitude to USGS (http://www.usgs.gov/) for making available of satellite datasets and FRAGSTATS developer for accomplish this study.
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Liezietsu, M. et al. (2022). Quantifying Land Use/Land Cover Change and Landscape Fragmentation Over the Intanki National Park, Nagaland (India) Using Geo-Informatics. In: Singh, R.B., Kumar, M., Tripathi, D.K. (eds) Remote Sensing and Geographic Information Systems for Policy Decision Support. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-7731-1_19
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