Land use land cover changes have been one of the most significant perceptible change taking place around us. The quantification and assessment of changes in land use and land cover, while perceptible, have proven difficult due to the size, diversity, and spatial variability of the change that is occurring. Since human activities have a direct impact on the majority of land use and cover changes, conventional ecological theories are rarely applied. Evaluation and analysis of changes in land use and cover have shown that the remote sensing and geographic information system are crucial. This study looked at the changes in land use and land cover in the Kanyakumari District of Tamil Nadu between the years 2001 and 2021. For the years 2001 and 2021, Landsat 7 EMT+ data and Landsat 8 OLI data, respectively, were used. The derived data was processed using the ArcGIS 10.8 programme, and for the study’s purposes, it was further categorised into eight classes using the ERDAS IMAGING 2014 programme. The prepared land use and land cover map was compared with the prepared spectral indices, such as NDVI, NDWI, and NDBI, for the corresponding years 2001 and 2021.

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A Comparative Study of Decadal Changes in Land Use Land Cover Pattern Using Geospatial Data of Kanyakumari District, Tamil Nadu

  • R. J. Jerin Joe,
  • V. Stephen Pitchaimani,
  • M. Seeththa Sankar Narayanan

摘要

Land use land cover changes have been one of the most significant perceptible change taking place around us. The quantification and assessment of changes in land use and land cover, while perceptible, have proven difficult due to the size, diversity, and spatial variability of the change that is occurring. Since human activities have a direct impact on the majority of land use and cover changes, conventional ecological theories are rarely applied. Evaluation and analysis of changes in land use and cover have shown that the remote sensing and geographic information system are crucial. This study looked at the changes in land use and land cover in the Kanyakumari District of Tamil Nadu between the years 2001 and 2021. For the years 2001 and 2021, Landsat 7 EMT+ data and Landsat 8 OLI data, respectively, were used. The derived data was processed using the ArcGIS 10.8 programme, and for the study’s purposes, it was further categorised into eight classes using the ERDAS IMAGING 2014 programme. The prepared land use and land cover map was compared with the prepared spectral indices, such as NDVI, NDWI, and NDBI, for the corresponding years 2001 and 2021.