Literature DB >> 11315737

Mapping of the water quality of Lake Erken, Sweden, from imaging spectrometry and Landsat Thematic Mapper.

C Ostlund1, P Flink, N Strömbeck, D Pierson, T Lindell.   

Abstract

Hyperspectral data have been collected by the Compact Airborne Spectrographic Imager (CASI) and multispectral data by the Landsat Thematic Mapper (TM) instrument for the purpose of mapping lake water quality. Field campaigns have been performed on Lake Erken in Sweden during the summer of 1997. Water samples have been collected and analysed in laboratory. Continuously measured variables from a boat have added a spatial dimension to the ground truth dataset. The data have been used to construct algorithms, based on remotely sensed data, for the retrieval of water quality parameters. The correlation between the continuous data and the collected CASI data has been investigated. Algorithms using both the point sampling results and the continuous data have been developed. Maps based on data from each instrument, showing the distribution of chlorophyll, are presented. Problems of having few water sampling stations, and the potential of using sub-water optics models are addressed as well. Tests were performed on MERIS bands and found useful for mapping chlorophyll and turbidity, and algorithms have been suggested for future use with MERIS.

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Year:  2001        PMID: 11315737     DOI: 10.1016/s0048-9697(00)00683-5

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  9 in total

1.  Mapping turbidity in the Charles River, Boston using a high-resolution satellite.

Authors:  Ferdi L Hellweger; Will Miller; Kehinde Sarat Oshodi
Journal:  Environ Monit Assess       Date:  2006-12-14       Impact factor: 2.513

2.  A feasible method to assess inaccuracy caused by patchiness in water quality monitoring.

Authors:  Saku Anttila; Timo Kairesalo; Petri Pellikka
Journal:  Environ Monit Assess       Date:  2007-09-23       Impact factor: 2.513

3.  Selection of appropriate sampling stations in a lake through mapping.

Authors:  Hakan Karabork
Journal:  Environ Monit Assess       Date:  2009-03-06       Impact factor: 2.513

4.  Mapping chlorophyll-a through in-situ measurements and Terra ASTER satellite data.

Authors:  Bilgehan Nas; Hakan Karabork; Semih Ekercin; Ali Berktay
Journal:  Environ Monit Assess       Date:  2008-09-27       Impact factor: 2.513

5.  Water quality monitoring of Al-Habbaniyah Lake using remote sensing and in situ measurements.

Authors:  Ahmed A H Al-Fahdawi; Adel M Rabee; Shaheen M Al-Hirmizy
Journal:  Environ Monit Assess       Date:  2015-05-21       Impact factor: 2.513

6.  Use of EO-1 Advanced Land Imager (ALI) multispectral image data and real-time field sampling for water quality mapping in the Hirfanlı Dam Lake, Turkey.

Authors:  Murat Kavurmacı; Semih Ekercin; Levent Altaş; Yakup Kurmaç
Journal:  Environ Sci Pollut Res Int       Date:  2013-02-20       Impact factor: 4.223

7.  Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral data.

Authors:  Hongtao Duan; Yuanzhi Zhang; Bai Zhang; Kaishan Song; Zongming Wang
Journal:  Environ Monit Assess       Date:  2006-10-21       Impact factor: 3.307

Review 8.  A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.

Authors:  Mohammad Haji Gholizadeh; Assefa M Melesse; Lakshmi Reddi
Journal:  Sensors (Basel)       Date:  2016-08-16       Impact factor: 3.576

9.  Impact of the spatial resolution of satellite remote sensing sensors in the quantification of total suspended sediment concentration: A case study in turbid waters of Northern Western Australia.

Authors:  Passang Dorji; Peter Fearns
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

  9 in total

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