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ISSN 2063-5346
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AN IMAGE PRE-PROCESSING AND CLASSIFICATION APPLICATION AND THE EXPERIMENTATION ANALYSIS OF THE AGRICULTURE CHANGE DETECTION FOR THE DIFFERENT LULC CLASSES USING REMOTE SENSING TIME SERIES IMAGES.

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Mr. Hareesh B1*, Mr. Vasudeva2
» doi: 10.48047/ecb/2023.12.si10.0039

Abstract

Detecting changes in land use and land cover (LULC) using remote sensing data is an essential source of information for many decision support systems like land conservation, sustainable development, water resource management, etc. All these systems are well resourced with the help of extracted and analysed data produced from land use and land cover change detection. This study aims to determine land use and land cover changes in the western Ghat basins. The proposed study is to find the change in agriculture patterns over the years using various segmentation and LULC classification techniques. The remote sensing data which is to be used for the classification required to be pre-processed. The study elaborates the analysis of different image pre-processing, segmentation and classification algorithms to analyse the dominance of the commercial plantation crops over the food-related crop culture.

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