Land Use/Land Cover Change Analysis using NDVI, PCA | IEEE Conference Publication | IEEE Xplore

Land Use/Land Cover Change Analysis using NDVI, PCA


Abstract:

Human activities made on land use shows an impact on the land cover spatially and temporarily in the long run on the environment. Amendments made within Land Use/Land Cov...Show More

Abstract:

Human activities made on land use shows an impact on the land cover spatially and temporarily in the long run on the environment. Amendments made within Land Use/Land Cover (LULC) are anticipated in the direction of the need of increasing population through cultivation step-up for edibles. Perceiving the places, broadcasting of LULC changes is significantly intended for launching associations among leading activities, policy pronouncements, and consequent LULC activities. Change detection is a practice used in funding estimation in which multi-date images are correlated in order to determine the nature and volume of transformation that has occurred. Remote sensing and Geographical Information System (GIS) provide fundamental tools for studying LULC change detection. Reliable data scheduled the grade of nature using diverse techniques is essential in solving ecological snags. The main objective of this paper is to assess land cover changes using Normalized Difference Vegetation Index (NDVI) as well as PCA. Landsat 8, OLI/TIRS images from 2014 and 2020 are used to illustrate the concept of Land Cover Change in Vijayawada, Krishna district, Andhra Pradesh. A total of four LULC classes are identified to harvest the statistics of Dense vegetation, vegetation, water bodies, and urban. Results disclosed that dense vegetation is diminished about 28% where vegetation, built up, and water is improved by 10%, 23%, and 1%, and overall accuracy (OA) and kappa coefficient are increased.
Date of Conference: 08-10 April 2021
Date Added to IEEE Xplore: 06 May 2021
ISBN Information:
Conference Location: Erode, India

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