Application of Landsat 8 imagery to regional-scale assessment of lake water quality

Abstract The aim of the project was to create a tool with which to support regional lake quality assessment using Landsat 8 imagery data. The model of assigning the ecological status was implemented in GIS for the northern part of Poland and classifies lake quality for several classes according to classification of WFD using two basic assumptions. The first is that there exists a combination of OLI bands (OLI2/OLI4 was used) which correlates well with the trophic state of the lakes; the second assumption is that the reference trophic state depends on the mean depth of the lake. The model uses a lake geodatabase which contains lakes outlines, raster masks of lakes and attribute information about their mean depth. There is no need to provide any field data when using this tool, as calibration of the model is done using subsets of lakes which were classified using legally defined methods. The tool allows fast classification of 2800 lakes from the area of interest. The results show good agreement between satellite and expert based methods.

[1]  H. Elster.  History of limnology , 1974 .

[2]  O. Pietiläinen,et al.  Chlorophyll–nutrient relationships of different lake types using a large European dataset , 2008, Aquatic Ecology.

[3]  N. Chang,et al.  Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective , 2015 .

[4]  Val H. Smith,et al.  Cultural Eutrophication of Inland, Estuarine, and Coastal Waters , 1998 .

[5]  Ulrich Sommer,et al.  Limnoecology: the Ecology of Lakes and Streams , 1997 .

[6]  M. Bauer,et al.  Landsat-based Remote Sensing of Lake Water Quality Characteristics, Including Chlorophyll and Colored Dissolved Organic Matter (CDOM) , 2005 .

[7]  Kaishan Song,et al.  Estimation of chlorophyll‐a concentration and trophic states for inland lakes in Northeast China from Landsat TM data and field spectral measurements , 2008 .

[8]  R. Carlson.  A trophic state index for lakes1 , 1977 .

[9]  C. Woodcock,et al.  Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .

[10]  David M. Harper,et al.  Remote sensing of chlorophyll-a as a measure of cyanobacterial biomass in Lake Bogoria, a hypertrophic, saline―alkaline, flamingo lake, using Landsat ETM + , 2013 .

[11]  Cynthia S. Loftin,et al.  Combining lake and watershed characteristics with Landsat TM data for remote estimation of regional lake clarity , 2012 .

[12]  I. Creed,et al.  Understanding variation in trophic status of lakes on the Boreal Plain: A 20 year retrospective using Landsat TM imagery , 2007 .

[13]  L. Carvalho,et al.  Defining ecologically relevant water quality targets for lakes in Europe , 2014 .

[14]  J. Qi,et al.  Mapping inland lake water quality across the Lower Peninsula of Michigan using Landsat TM imagery , 2013 .

[15]  Marten Scheffer,et al.  Assessing ecological quality of shallow lakes: Does knowledge of transparency suffice? , 2009 .

[16]  David A. Chin,et al.  Water-quality engineering in natural systems , 2006 .

[17]  J. Berge,et al.  Vertical flux of particulate matter in an Arctic fjord: the case of lack of the sea-ice cover in Adventfjorden 2006–2007 , 2010, Polar Biology.

[18]  P. Chavez.  An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[19]  M. Bauer,et al.  A 20-year Landsat water clarity census of Minnesota's 10,000 lakes , 2008 .

[20]  M. Bauer,et al.  Application of Landsat imagery to regional-scale assessments of lake clarity. , 2002, Water research.

[21]  M. Scheffer.  Ecology of Shallow Lakes , 1997, Population and Community Biology Series.