Quantitative Analysis of Land Use and Land Cover Dynamics using Geoinformatics Techniques: A Case Study on Kolkata Metropolitan Development Authority (KMDA) in West Bengal, India

One of the most valuable approaches in spatial analysis for a better understanding hydrological response region or watershed is certainly well-known land use cover (LULC) dynamicity. The present case study delves deeper into LULC dynamicity by using digital Landsat TM and OLI data to classify Kolkata Metropolitan Development Authority (KMDA) seven classes with over 90% classification accuracy decadal level assessments 30 years (for 1989, 1999, 2009, 2019). change index, Dematel method analyzing cause-effect relationship among classes, Jaccard Similarity Index measuring nature similarity Adherence consistency after transition was used this analyze transformation. In more detail, considers how urban altering at expense other uses. Besides shifting pattern mean centers through time, also gives very significant insight dynamics span. current transformation patterns KMDA area expected assist planners, engineers, administrators sustainable decisions policies ensure inclusive urbanization that accommodates population growth while minimizing impact on potential natural resources within whole area.