Abstract
Water Quality assessment of lakes, rivers, and reservoirs is a key issue for environmental monitoring and management. Lakes are subjected to sudden environmental changes caused by anthropogenic activities due to their multiple uses (agriculture, fishing, and boating, industrial and water supply). One of the most important issues in lake water management is water quality. Water quality assessments are being carried out using conventional methods which are very common and accurate, however, have the disadvantage of being expensive and labor-intensive. Further, sampling method and frequency are the major constraints to obtain representative samples. In order to overcome such hurdles in water quality management remote sensing approach has become more user-friendly and quite reliable. Remote sensing approach to water quality assessment is based on the optical bands in the region from blue to near infrared. These data are then used to explore the relation between the reflectance of water bodies and biophysical parameters such as: transparency, chlorophyll concentration (phytoplankton), and the organic and mineral suspended sediments. In the present study, an attempt has been made to understand the water quality characteristics of a lake situated in coastal, Kerala, known as Vembanad lake (a Ramsar site in south India) using Landsat-TM data. A relationship between Landsat-TM bands and suspended sediment concentration has been arrived at and compared with the field monitored data. It is noticed that TM bands such as TM5, TM6, and TM7 show higher correlation with observed data than bands 1, 2, and 3.
This is a preview of subscription content, log in via an institution to check access.
References
Akbar TA, Hassan QK, Acharia G (2012) A remote sensing based framework for predicting water quality of different source waters. Satellite based remote sensing approach for acquiring water quality data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol 34, Part XXX
Choubey VK (1994) Monitoring water quality in reservoirs with IRS- 1A-LISS-I. Water Resour Manage 8:121–136
CPCB (2008) Status of water quality in India. Central Pollution Control Board, New Delhi
Lathrop R (1992) Landsat thematic mapper monitoring of turbid inland water quality. Photogramm Eng Remote Sens 58:465–470
Naithani R (2012) Physicochemical assessment of water quality with respect to Remote sensing and GIS techniques. Adv Pure Appl Chem (APAC) 1(1). ISSN 2167-0854
Purandara BK (2008) Environmental issues of wetland ecosystem management: a case study. Ecol Environ Conserv 14(2–3):439–448
Purandara BK, Dora YL (1987) Studies on texture and Organic matter in the sediments of Vembanad Lake and nearshore sediments. In: Proceedings of national seminar on estuarine management, pp 449–452
Ritchie JC, Cooper CM (2001) Remote sensing techniques for determining water quality: applications to TMLDs”. In TMDL science issues conference, water environment federation, Alexandria, VA, pp 367–374
Ritchie JC, Charles MC, Schibe FR (1990) The relationship of MSS and TM Digital data with suspended sediments, chlorophyll, and temperature in Moon Lake, Mississippi. Remote Sens Environ 33:137–148
Sudheer KP, Chaubey I, Garg V (2006) Lake water quality assessment from LANDSAT thematic mapper data using neural network: an approach to optimal band combination selection. J Am Water Resour Assoc 1683–1695
Sugumaran R, Clayton M, Ecker M, Stigliani B, Gimond M, Green N (2005) Hyperspectral remote sensing and geographical information systems tools to assess water quality areas and Shallow Inland lake. University of Northern Iowa and NASA Kennedy Space Center. Iowa Space Grant (Cooperative) Final Technical Report, pp 1–35
Thiam S, Eastman RJ (1999) Vegetation indices. Guide GIA Image Process 2:107–122
Acknowledgements
Authors are highly grateful to Dr. R.D. Singh, Director, NIH, and Dr. Sudhir Kumar, Scientist ‘G’ and Head, Hydrological Investigation Division, NIH, Roorkee for their constant support and encouragement. Authors are thankful to Dr. Pramod Hanamgond. T., Head, Dept. of Geology, GSS College, Belagavi for assisting in ERDAS application.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Purandara, B.K., Jamadar, B.S., Chandramohan, T., Jose, M.K., Venkatesh, B. (2018). Water Quality Assessment of a Lentic Water Body Using Remote Sensing: A Case Study. In: Singh, V., Yadav, S., Yadava, R. (eds) Environmental Pollution. Water Science and Technology Library, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5792-2_30
Download citation
DOI: https://doi.org/10.1007/978-981-10-5792-2_30
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5791-5
Online ISBN: 978-981-10-5792-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)