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Modelling Spatial and Temporal Forest Cover Change Patterns (1973-2020) : A Case Study from South Western Ghats (India)

Title data

Giriraj, Amarnath ; Irfan-Ullah, Mohammed ; Murthy, Manchi Sri Ramachandra ; Beierkuhnlein, Carl:
Modelling Spatial and Temporal Forest Cover Change Patterns (1973-2020) : A Case Study from South Western Ghats (India).
In: Sensors. Vol. 8 (2008) Issue 10 . - pp. 6132-6153.
ISSN 1424-8220
DOI: https://doi.org/10.3390/s8106132

Abstract in another language

This study used time series remote sensing data from 1973, 1990 and 2004 to assess spatial forest cover change patterns in the Kalakad-Mundanthurai Tiger Reserve(KMTR), South Western Ghats (India). Analysis of forest cover changes and its causes arethe most challenging areas of landscape ecology, especially due to the absence of temporal ground data and comparable space platform based data. Comparing remotely sensed data from three different sources with sensors having different spatial and spectral resolution presented a technical challenge. Quantitative change analysis over a long period provided avaluable insight into forest cover dynamics in this area. Time-series maps were combinedwithin a geographical information system (GIS) with biotic and abiotic factors formodelling its future change. The land-cover change has been modelled using GEOMOD and predicted for year 2020 using the current disturbance scenario. Comparison of the forest change maps over the 31-year period shows that evergreen forest being degraded(16%) primarily in the form of selective logging and clear felling to raise plantations of coffee, tea and cardamom. The natural disturbances such as forest fire, wildlife grazing, invasions after clearance and soil erosion induced by anthropogenic pressure over the decades are the reasons of forest cover change in KMTR. The study demonstrates the role of remote sensing and GIS in monitoring of large-coverage of forest area continuously for a given region over time more precisely and in cost-effective manner which will be ideal for conservation planning and prioritization.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER64177
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography > Chair Biogeography - Univ.-Prof. Dr. Carl Beierkuhnlein
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 05 Jun 2015 06:18
Last Modified: 05 Jun 2015 06:18
URI: https://eref.uni-bayreuth.de/id/eprint/14747