Remote Sensing Based Analysis of Land Use / Land Cover Dynamics in Takula Block, Almora District (Uttarakhand)
Bibliographic Data
| ID | 7850974 |
|---|---|
| Authors | Dinesh Kumar Tripathi (0000-0002-7965-364X), Manish Kumar (0000-0002-1444-5508, Kumaun University) |
| Year | 2012 |
| Volume | 38 |
| Issue | 3 |
| Pages | 207-212 |
| Publication date | 2012-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Human Ecology (JOURNAL) |
| Journal identifiers | ISSN: 0970-9274 • E-ISSN: 2456-6608 |
| Publisher | Kamla Raj Enterprises (PUBLISHER) |
| DOI | 10.1080/09709274.2012.11906489 |
| OpenAlex | W2184029686 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
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
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |