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Remote Sensing Based Analysis of Land Use / Land Cover Dynamics in Takula Block, Almora District (Uttarakhand)

Bibliographic Data

ID7850974
AuthorsDinesh Kumar Tripathi (0000-0002-7965-364X), Manish Kumar (0000-0002-1444-5508, Kumaun University)
Year2012
Volume38
Issue3
Pages207-212
Publication date2012-06-01
Open AccessYes
TypeARTICLE
VenueJournal of Human Ecology (JOURNAL)
Journal identifiersISSN: 0970-9274 • E-ISSN: 2456-6608
PublisherKamla Raj Enterprises (PUBLISHER)
DOI10.1080/09709274.2012.11906489
OpenAlexW2184029686
LanguageEN
Citations received1
References cited1

Present study is an attempt to analyse the dynamics of land use / land cover using modern geospatial techniques of Remote Sensing and GIS in Takula Block of District Almora, Uttarakhand, India. The Landsat TM (Thematic Mapper) satellite images for year 1990 , Landsat ETM+ (Enhanced Thematic Mapper Plus) images for years 2005 and training data collected through field visit were used to analyse the dynamics of land use / land cover from 1999 to 2005 over a 15 year of period. Maximum Likelihood Algorithm was used for image classification in ERDAS 9.3. Mapping and analysis of land use / land cover classes were performed in ArcGIS 9.1 software. Five classes of land use / land cover (namely: forest, croplands, water bodies, built-up structures and fallow land) were mapped and analysed in the study area. The study reveals that the land use / land cover changes have occurred in forest (− 6.28%), croplands (+7.99%), built-up structures (1.22%) fallow land (−2.97%) and water body (0.04%). The study also highlights the importance of digital change detection techniques in sustainable land use planning and development for Takula Block

Biology · Cartography · Geography · Geospatial analysis · Land cover · Land use · Remote sensing · Satellite imagery · Thematic map · Thematic Mapper · Environmental Science · Groundwater and Watershed Analysis · Mathematics · Rangeland Management and Livestock Ecology · Remote Sensing in Agriculture · Ecology · Forestry

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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