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Original Articles

Remote estimation of water quality parameters of Himalayan lake (Kashmir) using Landsat 8 OLI imagery

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Pages 274-285 | Received 26 Mar 2015, Accepted 06 Jan 2016, Published online: 10 Feb 2016

References

  • Bilge F, Yazici B, Dogeroglu T, Ayday C. 2003. Statistical evaluation of remotely sensed data for water quality monitoring. Int J Remote Sens. 24:5317–5326.10.1080/0143116031000156828
  • Brezonik P, Menken KD, Bauer M. 2005. Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM). Lake Reservoir Manage. 21:373–382.10.1080/07438140509354442
  • Brivio PA, Giardino C, Zilioli E. 2001. Validation of satellite data for quality assurance in lake monitoring applications. Sci Total Environ. 268:3–18.10.1016/S0048-9697(00)00693-8
  • Chavez PS. 1996. Image-based atmospheric corrections-revisited and improved. Photogramm Eng Remote Sens. 62:1025–1036.
  • Chen C, Tang C, Pan Z, Zhan H, Larson M, Jönsson L. 2007. Remotely sensed assessment of water quality levels in the Pearl River Estuary, China. Mar Pollut Bull. 54:1267–1272.10.1016/j.marpolbul.2007.03.010
  • Chipman JW, Olmanson LG, Gitelson AA. 2009. Remote sensing methods for lake management: a guide for resource managers and decision-makers developed by the North American lake management society in collaboration with Dartmouth College. Madison, WI: University of Minnesota, University of Nebraska and University of Wisconsin for the United States Environmental Protection Agency.
  • Dekker AG, Peters SWM. 1993. The use of the thematic mapper for the analysis of eutrophic lakes: a case study in the Netherlands. Int J Remote Sens. 14:799–821.10.1080/01431169308904379
  • Dewidar KH, Khedr AA. 2008. Remote sensing of water quality for Burullus Lake, Egypt, Geocarto Int. 20:43–49. doi:10.1080/10106040508542354.
  • Duan H, Zhang Y, Zhang B, Song K, Wang Z. 2007. Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral data. Environ Monit Assess. 129:295–308.10.1007/s10661-006-9362-y
  • Dwivedi RM, Narain A. 1987. Remote sensing of phytoplankton, an attempt from the Landsat thematic mapper. Int J Remote Sens. 8:1563–1569.10.1080/01431168708954797
  • Fraser RN. 1998. Multispectral remote sensing of turbidity among Nebraska Sand Hills lakes. Int J Remote Sens. 19:3011–3016.10.1080/014311698214406
  • He W, Chen S, Liu X, Chen J. 2008. Water quality monitoring in a slightly-polluted inland water body through remote sensing – case study of the Guanting reservoir in Beijing, China. Front Environ Sci Eng China. 2:163–171.10.1007/s11783-008-0027-7
  • Hedger RD, Atkinson PM, Malthus TJ. 2001. Optimizing sampling strategies for estimating mean water quality in lakes using geostatistical techniques with Remote Sensing. Lakes Reservoirs Res Manage. 6:279–288.
  • Hellweger FL, Schlosser P, Lall U, Weissel JK. 2004. Use of satellite imagery for water quality studies in New York Harbor. Estuarine Coastal Shelf Sci. 61:437–448.10.1016/j.ecss.2004.06.019
  • Khattab MFO, Merkel BJ. 2013. Application of Landsat 5 and Landsat 7 images data for water quality mapping in Mosul Dam Lake, Northern Iraq. Arab J Geosci. 7 (9):3557–3573. doi 10.1007/s12517-013-1026-y
  • Khattab MFO, Merkel BJ. 2014. Application of Landsat 5 and Landsat 7 images data for water quality mapping in Mosul Dam Lake, Northern Iraq. Arab J Geosci. 7:3557–3573. doi:10.1007/s12517-013-1026-y.
  • Kloiber SM, Brezonik PL, Olmanson LG, Bauer ME. 2002. A procedure for regional lake water clarity assessment using Landsat multispectral data. Remote Sens Environ. 82:38–47.10.1016/S0034-4257(02)00022-6
  • Kondratyev KYA, Pozdnyakov DV, Pettersson LH. 1998. Water quality remote sensing in the visible spectrum. Int J Remote Sens. 19:957–979.10.1080/014311698215810
  • Koponen S, Pulliainen J, Kallio K, Hallikainen M. 2002. Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data. Remote Sens Environ. 79:51–59.10.1016/S0034-4257(01)00238-3
  • LANDSAT 8 (L8) data users handbook. 2015. Department of the Interior U.S. Geological Survey. Version 1. Available from: http://landsat.usgs.gov/documents/Landsat8DataUsersHandbook.pdf
  • Lathrop RG. 1992. Landsat thematic mapper monitoring of turbid inland water quality. Photogrammc Eng Remote Sens. 58:465–470.
  • Lavery P, Pattiaratchi C. 1993. Water quality monitoring in estuarine waters using the Landsat thematic mapper. Remote Sens Environ. 46:268–280.10.1016/0034-4257(93)90047-2
  • Lillesand TM, Johnson WL, Deuell RL, Lindstrom OM, Meisner DE. 1983. Use of Landsat data to predict the trophic state of Minnesota Lakes. Photogramm Eng Remote Sens. 49:219–229.
  • Lu D, Mausel P, Brondizio E, Moran E. 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. Int J Remote Sens. 23:1671–2651.
  • Ma R, Dai J. 2005. Investigation of chlorophyll-a and total suspended matter concentrations using Landsat ETM and field spectral measurement in Taihu Lake, China. Int J Remote Sens. 26:2779–2795.10.1080/01431160512331326648
  • Markham BL, Barker JL. 1986. Landsat MSS and TM post-calibration dynamic rangers, exoatmospheric reflectances and at-satellite temperatures. Lanham (MD): Earth Observation Satellite Co., Landsat Tech, 3–8 Aug.
  • Moran MS, Jackson RD, Slater PN, Teillet PM. 1992. Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output. Remote Sens Environ. 41:169–184.10.1016/0034-4257(92)90076-V
  • Mushtaq F, Pandey AC. 2014. Assessment of land use/land cover dynamics vis-à-vis hydrometeorological variability in Wular Lake environs Kashmir Valley, India using multitemporal satellite data. Arab J Geosci. 7:4707–4715. doi:10.1007/s12517-013-1092-1.
  • Nas B, Ekercin S, Karabörk H, Berktay A, Mulla DJ. 2010. An application of Landsat-5TM image data for water quality mapping in Lake Beysehir, Turkey. Water Air Soil Pollut. 212:183–197. doi:10.1007/s11270-010-0331-2.
  • Nas B, Karabork H, Ekercin S, Berktay A. 2009. Mapping chlorophyll-a through in-situ measurements and Terra ASTER satellite data. Environ Monit Assess. 157:375–382.10.1007/s10661-008-0542-9
  • Nellis MD, Harrington JA, Wu J. 1998. Remote sensing of temporal and spatial variations in pool size, suspended sediment, turbidity, and Secchi depth in Tuttle Creek reservoir, Kansas: 1993. Geomorphology. 21:281–293.10.1016/S0169-555X(97)00067-6
  • Östlund C, Flink P, Strömbeck N, Pierson D, Lindell T. 2001. Mapping of the water quality of Lake Erken, Sweden, from imaging spectrometry and Landsat thematic mapper. Sci Total Environ. 268:139–154.10.1016/S0048-9697(00)00683-5
  • Pulliainen J, Kallio K, Eloheimo K, Koponen S, Servomaa H, Hannonen T, Tauriainen S, Hallikainen M. 2001. A semi-operative approach to lake water quality retrieval from remote sensing data. Sci Total Environ. 268:79–93.10.1016/S0048-9697(00)00687-2
  • Quaidrari H, Vermote EF. 1999. Operational atmospheric correction of Landsat TM data. Remote Sens Environ. 70:4–15.10.1016/S0034-4257(99)00054-1
  • Ritchie JC, Cooper CM, Schiebe FR. 1990. The relationship of MSS and TM digital data with suspended sediments, chlorophyll, and temperature in Moon Lake, Mississippi. Remote Sens Environ. 33:137–148.10.1016/0034-4257(90)90039-O
  • Romshoo SA, Rashid I. 2012. Assessing the impacts of changing land cover and climate on Hokersar wetland in Indian Himalayas. Arab J Geosci. 7:143–160. doi:10.1007/s12517-012-0761-9.
  • Seker DZ, Goksel C, Kabdasli S, Musaoglu N, Kaya S. 2003. Investigation of coastal morphological changes due to river basin characteristics by means of remote sensing and GIS techniques. Water Sci Technol. 48:135–142.
  • Singh K, Ghosh M, Sharma SR, Kumar Pavan. 2014. Blue–red–NIR model for chlorophyll-a retrieval in hypersaline–alkaline water using Landsat ETM+ sensor. IEEE J Sel Top Appl Earth Obs Remote Sens. 7:8.
  • Somvanshi S, Kunwar P, Singh NB, Shukla SP, Pathak V. 2012. Integrated remote sensing and GIS approach for water quality analysis of Gomti River, Uttar Pradesh. Int J Environ Sci. 3(1):62–74.
  • Tassan S, Ribera d'Alcalá, M. 1993. Water quality monitoring by thematic mapper in coastal environments: a performance analysis of local bio-optical algorithms and atmospheric correction procedures. Remote Sens Environ. 45:177–191.10.1016/0034-4257(93)90041-U
  • Torbick N, Hession S, Hagen S, Wiangwang N, Becker B, Qi J. 2013. Mapping inland lake water quality across the Lower Peninsula of Michigan using Landsat TM imagery. Int J Remote Sens. 34:7607–7624.10.1080/01431161.2013.822602
  • Tripathi NK, Singh, P. 2000. Integrated GIS and remote sensing approach to map pollution in upper lake, Bhopal, India. Geocarto Int. 15 : 51–58.10.1080/10106040008542172
  • Tyler AN, Svab E, Preston T, Présing M, Kovács WA. 2006. Remote sensing of the water quality of shallow lakes: a mixture modelling approach to quantifying phytoplankton in water characterized by high‐suspended sediment. Int J Remote Sens. 27:1521–1537.10.1080/01431160500419311
  • Usali N, Ismail MH. 2010. Use of remote sensing and GIS in monitoring water quality. J Sustainable Dev. 3(3):228–238.
  • Wang F, Luoheng H, Hsiang TK, Roy BVA. 2006. Applications of Landsat-5 TM imagery in assessing and mapping water quality in Reelfoot Lake, Tennessee. Int J Remote Sens. 27:5269–5283.10.1080/01431160500191704
  • Wang XJ, Ma T. 2001. Application of remote sensing techniques in monitoring and assessing the water quality of Taihu Lake. Bull Environ Contam Toxicol. 67:863–870.10.1007/s001280202
  • Yang X, Lo CP. 2000. Relative radiometric normalization performance for change detection from multi-date satellite images. Photogramm Eng Remote Sens. 66:967–980.
  • Yang M, Merry CJ, Sykes RM. 1996. Adaptive short-term water quality forecasts using remote sensing and GIS. In AWRA Symposium on GIS and Water Resources; Ft. Lauderdale, FL.
  • Zhou W, Wang S, Zhou Y, Troy A. 2006. Mapping the concentrations of total suspended matter in Lake Taihu, China, using Landsat-5 TM data. Int J Remote Sens. 27:1177–1191.10.1080/01431160500353825

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