Assessing Land Use Dynamics of Lower Bhavani Basin Using Multiple GIS Platforms
Bridget Seremane
Department of Soil and Water Conservation Engineering, AEC&RI, TNAU, Coimbatore, India.
Balaji Kannan *
Department of Physical Sciences and Information Technology, AEC&RI, TNAU, Coimbatore, India.
V. Ravikumar
Department of Soil and Water Conservation Engineering, AEC&RI, TNAU, Coimbatore, India.
K. Arunadevi
Department of Soil and Water Conservation Engineering, AEC&RI, TNAU, Coimbatore, India.
R. Jagadeeswaran
Department of Remote Sensing and GIS, TNAU, Coimbatore, India.
*Author to whom correspondence should be addressed.
Abstract
Land use describes the actual form of land, such as a forest or open water and classification based on human utilization. Land use map provides the information about the current landscape of an area. In this study, the Lower Bhavani basin's land use and land cover were classified using GIS platforms and data from the Landsat 8 satellite. The platform utilized in this study were Semi-Automated Plugin (SAP) in QGIS and Random forest method in Google Earth Engine (GEE). The findings suggested that both platforms performed efficiently and displayed comparable percentages of land covered by various land use features. The accuracy of the resulting land use map was evaluated using a Google Earth image, and it was discovered that SAP and GEE hold 91.8% and 92.6% of the total accuracy. This study aids in evaluating and classifying the various Geographic Information System platforms land use trends.
Keywords: Land use, image classification, QGIS, GEE