Hyperspectral remote sensing: Potential prospects in water quality monitoring and assessment

Simple item page
dc.contributor.authorSrivastava M.K.
dc.contributor.authorGaur S.
dc.contributor.authorOhri A.
dc.contributor.authorSrivastava P.K.
dc.contributor.authorChaturvedi S.
dc.date.accessioned2025-01-13T07:07:04Z
dc.date.available2025-01-13T07:07:04Z
dc.date.issued2024
dc.description.abstractIn recent decades, the field of remote sensing has made significant progress, especially in hyperspectral imaging, which has become an essential tool for civil, commercial, medical, and military applications. Hyperspectral sensors are capable of estimating physical parameters of complex surfaces and identifying visually similar materials with fine spectral signatures. This article focuses on the use of hyperspectral remote sensing, particularly in water quality assessment and monitoring. It highlights the importance of hyperspectral imageries in recent studies and discusses the working and types of hyperspectral data, as well as various space-borne and airborne sensors currently in use. Additionally, the article reviews various techniques and methods that researchers around the world have employed to use hyperspectral data for water quality applications. Lastly, the article discusses the advantages and challenges inherent in hyperspectral remote sensing. This chapter aims to serve as a comprehensive guide for those interested in hyperspectral remote sensing and its applications in water quality monitoring and assessment. � 2025 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/B978-0-323-95193-7.00015-4
dc.identifier.isbn978-032395193-7; 978-032395194-4
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/2609
dc.language.isoen
dc.publisherElsevier
dc.subjectChlorophyll
dc.subjectGroundwater
dc.subjectHyperspectral
dc.subjectRemote sensing
dc.subjectSensors
dc.subjectWater quality
dc.titleHyperspectral remote sensing: Potential prospects in water quality monitoring and assessment
dc.typeBook chapter
journal.titleEarth Observation for Monitoring and Modeling Land Use

Files

Collections

2024