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The land cover and change detection analysis are critical factors for sustainable forest management because of the increasing fragmentation of forests. With the development of remote sensing and GIS applications in forestry in recent years, significant deforestation has been measured. Maps of deforestation are created using satellite photos and ground-based data for monitoring forest degradation and identifying changes in the forest cover based on multispectral satellite data have been shown to be capable of doing so. The current work concentrated on applying cutting-edge RS and GIS technologies for LULC (Land use and Land cover), change analysis and comparative assessment. Chikmagalur taluk’s forest vegetation across two decadal periods, from 2000 to 2022. The methodologies of image differencing, reclassification comparison change detection, and normalized difference vegetation index (NDVI) were used. The results demonstrate that the study area experienced a rapid decrease in forest cover, conversion of rural to urban in towns and municipalities, forest fire, and illegal logging and the main reason is due to coffee and other plantation crops in private holdings. Accordingly, the study suggests creating and executing a guided forest conservation programme that progressively implements appropriate sensitization, regular eco-guard visits, reduced intimidation, participatory forest mapping and public awareness.

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Geographical Methods for Assessing the Pace of Change in Land Use and Cover as Identifying the Factors that Contribute to Changes in Forest Cover

  • 章节

  • 发表日期：

    2025年

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  • C. M. Nalina,
  • M. Musini Venkateshwarlu,
  • Prabhu Raj,
  • S. Raghavendra

摘要

The land cover and change detection analysis are critical factors for sustainable forest management because of the increasing fragmentation of forests. With the development of remote sensing and GIS applications in forestry in recent years, significant deforestation has been measured. Maps of deforestation are created using satellite photos and ground-based data for monitoring forest degradation and identifying changes in the forest cover based on multispectral satellite data have been shown to be capable of doing so. The current work concentrated on applying cutting-edge RS and GIS technologies for LULC (Land use and Land cover), change analysis and comparative assessment. Chikmagalur taluk’s forest vegetation across two decadal periods, from 2000 to 2022. The methodologies of image differencing, reclassification comparison change detection, and normalized difference vegetation index (NDVI) were used. The results demonstrate that the study area experienced a rapid decrease in forest cover, conversion of rural to urban in towns and municipalities, forest fire, and illegal logging and the main reason is due to coffee and other plantation crops in private holdings. Accordingly, the study suggests creating and executing a guided forest conservation programme that progressively implements appropriate sensitization, regular eco-guard visits, reduced intimidation, participatory forest mapping and public awareness.