Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Evaluation of machine learning algorithms for surface water delineation using landsat 8 images Subject The topic of the resource Landsat 8; Machine Learning; Multispectral Images; Surface Water Delineation Description An account of the resource Surface water detection and delineation is an important and necessary step in change detection studies on water bodies using multispectral images. Commonly used techniques for surface water delineation from multispectral images are single band density slicing, spectral index based, machine learning based classification and spectral un mixing based methods. This paper presents a comparative study of commonly used machine learning algorithms viz. ANN, SVM, Decision Tree, Random Forest and K-means clustering for their suitability and effectiveness when applied on Landsat 8 images for surface water detection and delineation. The algorithms are compared for their classification accuracy and execution time. While all the above mentioned algorithms exhibited their usefulness in water detection, Decision Tree and Random Forest algorithms were found be faster in both training phase and testing phase and also yielded better accuracy with fewer miss-classifications. Though K-means clustering with more than four clusters yielded results comparable to that of supervised classification methods, it requires appropriate post-processing to obtain the output image with only two clusters; corresponding to water pixels and non-water pixels. Pierson's correlation co-efficient and Structural similarity Index (SSIM) are computed to compare the correlation and similarity of the output images yielded by the algorithms being studied. 2020, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Bijeesh T.V.; Narasimhamurthy K.N. Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-12, No. 3, pp. 207-216. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5373/JARDCS/V12I3/20201184" target="_blank" rel="noreferrer noopener">https://doi.org/10.5373/JARDCS/V12I3/20201184</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082864069&amp;doi=10.5373%2FJARDCS%2FV12I3%2F20201184&amp;partnerID=40&amp;md5=a6175c0cd64e2aab20b97680567534e6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082864069&amp;doi=10.5373%2fJARDCS%2fV12I3%2f20201184&amp;partnerID=40&amp;md5=a6175c0cd64e2aab20b97680567534e6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bijeesh T.V., CHRIST (Deemed to be University), Bangalore, India; Narasimhamurthy K.N., CHRIST (Deemed to be University), Bangalore, India