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IJSP is an International, Peer Reviewed/ Refereed, Indexed, Open Access, Online Journal of Arts and Social Sciences. 10 Golden Years of the regular Publication Call for Paper : IJSP invites Research articles, View Papers, Short Communications, Book Reviews etc for Vol 11(02):2024 Timeline for Vol 11(02):2024 Proposed Publication Date (Online): 31 July 2024, (Print): 15 August 2024 Last Date of Submission: 31 May 2024

Land Use and Land Cover Change Detection: A Comparative Approach using Post Classification Change Matrix and Discriminate Function Change Detection Methodology of Allahabad City

Ram Shankar, Shailendra Kumar Yadav

Affiliations:

  1. Assistant Professor, Department of Geography, Handia PG College Handia, Prayagraj, U.P. INDIA

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Change detection is the measure of the distinct data framework and thematic change information that can guide to more tangible insights into the underlying process involving land cover and land use changes than the information obtained from continuous change. Remote sensing data are primary sources extensively used for change detection in recent decades. In this context, the main objective of this paper is to present the change analysis between two different techniques of change detection to analyze the variability of land use/land cover dynamics in Allahabad City (50 Sq.Km. Area), Uttar Pradesh, using multitemporal analysis of multispectral images of ETM+, TM Land sat (1990 -2000) and digital SOI topographic maps. The study has produced a land use/ land cover map of Allahabad City (50 Sq.Km. Area) at two (1990, 2000) point of time in order to detect the changes that have taken place in fourteen different classes. Sixty possible changes and no change classes were identified. Ten year time period of 1990 -2000 shows some major land-use changes. This paper overview the procedure used and presents some of the results of the change detection experiment.
 

 

Keywords:
KEY WORDS: Land use, Land cover, Change Detection, Post Classification Change Matrix, Discriminate Function Change Detection.