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Assessing Land-use Land-cover Dynamics (1990-2030) in Pathri Reserve Forest using Geospatial Technology | Wani | Indian Forester

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Title Assessing Land-use Land-cover Dynamics (1990-2030) in Pathri Reserve Forest using Geospatial Technology | Wani | Indian Forester
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Keywords cloud India Kashmir forest Sensing Remote University change Technology cover Singh views Land ShereKashmir Wani Sciences BenhamaWatlaar Ganderbal Jammu Pathri Department
Keywords consistency
Keyword Content Title Description Headings
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Kashmir 12
forest 11
Sensing 10
Remote 10
University 9
Headings
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Assessing Land-use Land-cover Dynamics (1990-2030) in Pathri Reserve Forest using Geospatial Technology | Wani | Indian Forester Cart    Total Items:  0    Total Price:  0 All Authors Title Abstract Index terms Full Text   Home   About   Login   Search   Current   Archives   Submissions   Our People   Subscription   Advertisements   Contact     Font Size User Username Password Remember me About The Authors Akhlaq Amin Wani Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Benhama-Watlaar, Ganderbal, Jammu and Kashmir India Arijit Roy Forestry and Ecology Department, Indian Institute of Remote Sensing, 4, Kalidas Road Dehradun Uttarakhand-248001 India P. K. Dorothy Biotechnology Department GITAM University Gandhi Nagar, Rushikonda, Vishakapatnam Hyderabad Andra Pradesh 530045 India Seema Joshi DGIS/MISO/ASO, DGIS Enclave, Rao Tula Ram Marg, Ministry of Defense, Government of India, New Delhi- 110010 India Aasif A. Gatoo Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Benhama-Watlaar, Ganderbal, Jammu and Kashmir India M. A. Islam Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Benhama-Watlaar, Ganderbal, Jammu and Kashmir India Amarjeet Singh Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Benhama-Watlaar, Ganderbal, Jammu and Kashmir India Amir F. Bhat Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Benhama-Watlaar, Ganderbal, Jammu and Kashmir India Shah Murtaza ClimateTranspirationCenter, Department of Ecology, Environment and Remote Sensing, SDA Colony, Bemina, Srinagar, J & K IndiaVendibleTools Print this vendible Indexing metadata How to cite item Finding References Email this vendible (Login required) Email the tragedian (Login required) Post aScuttlebuttSubscription Login to verify subscription Purchased Articles Browse  By Issue  ByTragedian By Title Information For Authors For Reviewers Notifications View Subscribe Submissions Online SubmissionsTragedianGuidelines Popular Articles - top 5 » Impact of Industrialisation on Environmental Pollution 53963 views since: 2009-09-01 » Diversity of Vegetation in the Tail End of Eastern Ghats, Tiruchirappalli Forest Division, Tamil Nadu, India 45983 views since: 2016-04-01 » Anthology of Oxalis corniculata L. by Scanning Electron Microscope in Indroda Nature Park, Gujarat, India 41037 views since: 2017-12-01 » Amelioration of Phenol Formaldehyde Adhesive With Silicic Acid for Application in Plywood 36536 views since: 2015-04-01 » 'Jhuming' (Shifting Cultivation) in Mizoram (India) and New Land Use Policy - how Far it has Succerded in Containing This Primitive Agriculture Practice 30560 views since: 1999-02-01 Home > Volume 144, Issue 7, July 2018 > WaniUnshutAccess  Subscription or Fee Access Total views : 82 Assessing Land-use Land-cover Dynamics (1990-2030) in Pathri Reserve Forest using Geospatial Technology Akhlaq Amin Wani 1*, Arijit Roy 2, P. K. Dorothy 3, Seema Joshi 4, Aasif A. Gatoo 1, M. A. Islam 1, Amarjeet Singh 1, Amir F. Bhat 1, Shah Murtaza 5AffiliationsSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Benhama-Watlaar, Ganderbal, Jammu and Kashmir, IndiaForestry and Ecology Department, Indian Institute of Remote Sensing, 4, Kalidas Road Dehradun Uttarakhand-248001, IndiaBiotechnology Department GITAM University Gandhi Nagar, Rushikonda, Vishakapatnam Hyderabad Andra Pradesh 530045, IndiaDGIS/MISO/ASO, DGIS Enclave, Rao Tula Ram Marg, Ministry of Defense, Government of India, New Delhi- 110010, IndiaClimateTranspirationCenter, Department of Ecology, Environment and Remote Sensing, SDA Colony, Bemina, Srinagar, J & K, India Abstract Forests stuff a dynamic full-length are prone to changes which may be either positive or negative. The present study has been taken to monitor Land use land imbricate (LULC) dynamics in Pathri reserve forest over the past three decades (1990, 2000 and 2010), surpassing and without de-reserving some part of this forest in view of the rehabilitation of Tehri dam evacuees. Landsat TM data has been used to generate maps on 1:50000 scale using visual interpretation. The three time period forest vector layers were used for predicting the forest imbricate for the periods 2010 and 2030 using Cellular Automata (CA) Markov model. The wringer reveals that out of 17.31km2 in 1990, only 2.62 km2 of zone was left as dumbo forest in 2010, while the remaining zone was degraded to unshut forest and scrub. About 13 km2 zone of water persons and wetlands in the study zone reduced to 3.4 km2 in two decades indicates demand for intensification of agricultural besides the pressure for fuel wood hodgepodge and uncontrolled grazing. This loss of forest over the decades can be attributed to the Rehabilitation Policy, 1998 of the Government of Uttarakhand to resettle the Tehri dam evacuees and relocation of Gujjars, a nomadic polity to an 8 km2 patch at Pathri rehabilitation site. Human interventions as well as signs of disturbance such as lopped off trees, presence of invasive species such as Ipomea spp. and Clerodendron spp. could be the causative factors. From the present LULC dynamics and projection for 2030, it is evident that the Pathri reserve forest continues to be under pressure from anthropogenic activities. Keywords Pathri Reserve Forest, Land Use Land Cover, Geospatial Technology, Markov Modeling. Full Text:  |  (PDF views: 0) References Chakraborty K. (2009). Vegetation transpiration detection in Barak Basin. Current Science, 96(9, 10). Coppin P., Jonckheere I., Nackaerts K. and Muys B. (2004).Digital transpiration Detection methods in ecosystem monitoring - a review. Inter. J. Remote Sensing, 25 (9): 15651596. Ekwal I. (2011). Mapping of landscape imbricate using remote sensing and GIS inChandoli National Park, India. Momona Ethiopian J. Science, 3 (2): 78-92. Ellis E. and Robert P. (2007). "Land-use and land-cover change." In: Environmental Information Coalition, National Council for Science and the Environment (Encyclopedia of Earth. Eds. Cutler J. Cleveland) (Washington, D.C.: (Retrieved 5th December, 2017). http://www.aughty.org/pdf/landuse_landcover.pdf. Joshi R. and Singh R. (2009). GujjarPolityRehabilitation from Rajaji National Park: Moving towards an integrated tideway for Asian Elephant (Elephas maximus). Conservation. J. Hum. Ecol., 28(3): 199-206. Kushwaha S.P.S. (1990). Forest-type mapping and transpiration detection from satellite imagery. J. Photogrammetry and Remote Sensing, 45: 175-181. Kushwaha S.P.S., Suchismita M., Hari V.P. and Suresh K. (2010).Sustainable minutiae planning in Pathri Rao subwatershed using geospatial techniques Current Science, 98 (11, 10). Lele N. and Joshi P.K. (2008). Analyzing deforestation rates, spatial forest imbricate changes and identifying hair-trigger areas of forest imbricate changes in north-east India during 1972-1999. Environmental Monitoring and Assessment, 156 (1-4):159-70. Lund H. (1983). Change: now you see it- now you don't! Proceedings of the International priming on renewable resources inventories for monitoring changes and trends, Oregon State University, Corvallis, US, 211-213. Macleod R.D. and Congalton R.G. (1998). A quantitative comparison of transpiration detection algorithm for monitoring eelgrass from remotely sensed data. Photogrammetric Engineering and Remote Sensing, 64 (3): 207-216. Nandy S., Kushwaha S.P.S. and Dadhwal V.K. (2011).Forest ousting towage in the upper catchment of the river Tons using remote sensing and GIS. Ecological Indicators, 11(2): 509513. Reis S. (2008). Analyzing Land Use/LandImbricateChanges Using Remote Sensing and GIS in Rize, North-East Turkey. Sensors, 8: 6188-6202. Roy P.S. and Arijit R. (2010). Land use and land imbricate transpiration in India: A remote sensing & GIS perspective. J. Indian Institute of Science, 90:4 (journal.library.iisc.ernet.in). Singh A. (1986).Transpirationdetection in the tropical forest environment of North-eastern India using Landsat In: Remote Sensing and Tropical Land Management (New York: John Wiley and Sons), pp. 237–254. Singh A. (1989). Digital transpiration detection techniques using remotely-sensed data.InternationalPeriodicalof Remote Sensing, 10: 989–1003. Wani A.A. (2008). Forest imbricate towage and trend in inside India using remote sensing and GIS.Indian Forester. 134(11): 1529-1538. Wani A.A., Joshi P.K. and Singh O. (2014). Estimating biomass and stat mitigation of temperate coniferous forests in the Western Himalayan region using spectral modeling and field inventory data. Ecological Informatics. http://dx.doi.org/10.1016/j.ecoinf.2014.12.003. Wani A.A., Singh S., Joshi P.K., Zargar M.A. and Wani A.A. (2009). Forest imbricate mapping and transpiration detection wringer (1960's to 1970's) in some parts of inside India using remote sensing and GIS (2009). In: Proceedings of IV National Forestry Conference, Forest Research Institute Dehradun. Refbacks There are currently no refbacks. Add scuttlebutt HOMEABOUTSEARCHCURRENT ISSUEARCHIVESSUBSCRIPTIONADVERTISEMENTSCONTACT USCopyright © Indian Forester Journal. All Rights Reserved.