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 Surface water detection and delineation using remote sensing images: a review of methods and algorithms Subject The topic of the resource Machine learning; Spectral index; Spectral mixture analysis; Surface water detection Description An account of the resource Multispectral and hyperspectral images captured by remote sensing satellites or airborne sensors contain abundant information that can be used to study and analyze objects of interest on the surface of earth and their properties. The potential of remotely sensed images for studying natural resources like water has been studied by researchers over the past many years. As water is an important natural resource that needs to be conserved, such studies have been of great interest to the scientific community. By employing appropriate digital image processing techniques on images taken from remote sensing satellites or airborne sensors, an effective system can be developed to study the quantitative and qualitative changes happening to surface water bodies over a period of time. Surface water detection and mapping is a crucial and necessary step in such studies and different automated and semi-automated methods have been developed over the years for mapping water in remotely sensed images. Remote sensing sensors capture images at multiple bands corresponding to different wavelength ranges in the EM spectrum. Digital image processing based techniques for water mapping falls predominantly into four categories; (i) single band based methods, (ii) spectral index based methods, (iii) machine learning based methods and (iv) spectral mixture analysis based methods. This paper presents a review of techniques, methods, algorithms and the sensors/satellites that have been developed and experimented with to perform surface water body detection and delineation from remote sensing images. 2020, Springer Nature Switzerland AG. 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 Sustainable Water Resources Management, Vol-6, No. 4 Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/s40899-020-00425-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40899-020-00425-4</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088117292&amp;doi=10.1007%2Fs40899-020-00425-4&amp;partnerID=40&amp;md5=b1333c917a66629300c9c5eec005b708" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088117292&amp;doi=10.1007%2fs40899-020-00425-4&amp;partnerID=40&amp;md5=b1333c917a66629300c9c5eec005b708</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23635037 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 University (Deemed), Bangalore, India; Narasimhamurthy K.N., Christ University (Deemed), Bangalore, India