Mapping chlorophyll-α concentrations in West Lake, China using Landsat 7 ETM+

Nathan Torbick, Feng Hu, Jianying Zhang, Jiaguo Qi, Hangjun Zhang, Brian Becker

Research output: Contribution to journalArticlepeer-review

47 Scopus citations


Eutrophication is a persistent problem that affects the ecological health of many shallow lakes in China. An indicator used to monitor trophic status is chlorophyll-a; however, collection and analysis can be spatially limiting and time consuming. In this study we utilized Landsat 7 ETM+ (Path/Row 119/39) imagery for West Lake, Hangzhou, to map chlorophyll-a concentrations. An optimal linear regression model with the band ratio ETM+3/ETM+1 (independent) and concurrent field-collected water quality measurements (dependant) was developed. The resulting model, lnChl, = 5.009 (ETM+3/ETM+1)-1.855, showed a strong (R2 = 0.815) ability to accurately map the distribution of chlorophyll-a. The straightforward approach carried out to assess this fresh-water lake in a rapidly developing region increased the level of information required to combat aquatic ecosystem degradation.

Original languageEnglish
Pages (from-to)559-565
Number of pages7
JournalJournal of Great Lakes Research
Issue number3
StatePublished - 2008


  • Algal blooms
  • China
  • Chlorophyll-a
  • Landsat ETM+
  • Monitoring
  • West Lake


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