Literature DB >> 11315735

Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland.

P Härmä1, J Vepsäläinen, T Hannonen, T Pyhälahti, J Kämäri, K Kallio, K Eloheimo, S Koponen.   

Abstract

The aim of the study was to test the feasibility of the band combination of the TERRA MODIS and ENVISAT MERIS instruments for operational monitoring of lakes and coastal waters in Finland. Also simulated LANDSAT TM data were tested. Satellite bands were simulated using airborne measurements with AISA imaging spectrometer. Semi-empirical algorithms with simulated satellite data were tested against field observations using regression analysis. Interpretation of chlorophyll a, suspended matter, turbidity and secchi-disk depth was included in the analyses. The data for this study were gathered in campaigns carried out in May and August 1997 and August 1998 both for lakes in southern Finland and coastal waters of the Baltic Sea. The data set included 85 in situ observations for lakes and 107 for coastal waters. Our results show that the band combination to be included in the ENVISAT MERIS instrument enables the interpretation of water quality, including chlorophyll a concentration using semi-empirical algorithms both for lakes and coastal waters. MERIS band 9 centred at 705 nm is proven to be of vital importance for the detection of chlorophyll a in local surface waters.

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Year:  2001        PMID: 11315735     DOI: 10.1016/s0048-9697(00)00688-4

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


  9 in total

1.  Monitoring and validating spatio-temporal dynamics of biogeochemical properties in Mersin Bay (Turkey) using Landsat ETM+.

Authors:  Nusret Karakaya; Fatih Evrendilek
Journal:  Environ Monit Assess       Date:  2010-12-23       Impact factor: 2.513

2.  Application of MODIS satellite data in monitoring water quality parameters of Chaohu Lake in China.

Authors:  Min Wu; Wei Zhang; Xuejun Wang; Dinggui Luo
Journal:  Environ Monit Assess       Date:  2008-01-30       Impact factor: 2.513

3.  Assessment of temporal variations of water quality in inland water bodies using atmospheric corrected satellite remotely sensed image data.

Authors:  Diofantos G Hadjimitsis; Chris Clayton
Journal:  Environ Monit Assess       Date:  2008-12-06       Impact factor: 2.513

4.  Monitoring water quality in a hypereutrophic reservoir using Landsat ETM+ and OLI sensors: how transferable are the water quality algorithms?

Authors:  Eliza S Deutsch; Ibrahim Alameddine; Mutasem El-Fadel
Journal:  Environ Monit Assess       Date:  2018-02-15       Impact factor: 2.513

5.  Spatio-Temporal Variability of Aquatic Vegetation in Taihu Lake over the Past 30 Years.

Authors:  Dehua Zhao; Meiting Lv; Hao Jiang; Ying Cai; Delin Xu; Shuqing An
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

6.  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

7.  A Multivariate Model for Coastal Water Quality Mapping Using Satellite Remote Sensing Images.

Authors:  Yuan-Fong Su; Jun-Jih Liou; Ju-Chen Hou; Wei-Chun Hung; Shu-Mei Hsu; Yi-Ting Lien; Ming-Daw Su; Ke-Sheng Cheng; Yeng-Fung Wang
Journal:  Sensors (Basel)       Date:  2008-10-10       Impact factor: 3.576

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.  Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data.

Authors:  Tuuli Soomets; Kristi Uudeberg; Dainis Jakovels; Agris Brauns; Matiss Zagars; Tiit Kutser
Journal:  Sensors (Basel)       Date:  2020-01-29       Impact factor: 3.576

  9 in total

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