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| Main Authors: | , , , |
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| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2018
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.871462 |
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| _version_ | 1867170996107083776 |
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| author | Odermatt, Daniel Danne, Olaf Philippson, Petra Brockmann, Carsten |
| author_facet | Odermatt, Daniel Danne, Olaf Philippson, Petra Brockmann, Carsten |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The use of ground sampled water quality information for global studies is limited due to practical and financial constraints. Remote sensing is a valuable means to overcome such limitations and to provide synoptic views of ambient water quality at appropriate spatio-temporal scales. In past years several large data processing efforts were initiated to provide corresponding data sources. The Diversity II water quality dataset consists of several monthly, yearly and 9-year averaged water quality parameters for 340 lakes worldwide and is based on data from the full ENVISAT MERIS operation period (2002–2012). Existing retrieval methods and datasets were selected after an extensive algorithm intercomparison exercise. Chlorophyll-a, total suspended matter, turbidity, coloured dissolved organic matter, lake surface water temperature, cyanobacteria and floating vegetation maps, as well as several auxiliary data layers, provide a generically specified database that can be used for assessing a variety of locally relevant ecosystem properties and environmental problems. For validation and accuracy assessment, we provide matchup comparisons for 24 lakes and a group of reservoirs representing a wide range of bio-optical conditions. Matchup comparisons for chlorophyll-a concentrations indicate mean absolute errors and bias in the order of median concentrations for individual lakes, while total suspended matter and turbidity retrieval achieve significantly better performance metrics across several lake-specific datasets. We demonstrate the use of the products by illustrating and discussing remotely sensed evidence of lake-specific processes and prominent regime shifts documented in the literature. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_871462 |
| institution | PANGAEA |
| language | en |
| publishDate | 2018 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Diversity II water quality parameters for 300 lakes worldwide from ENVISAT (2002-2012) Odermatt, Daniel Danne, Olaf Philippson, Petra Brockmann, Carsten Area; Country; ELEVATION; File name; File size; Flow rate; Identification; LATITUDE; LONGITUDE; Name; ORDINAL NUMBER; Ratio; Type; Uniform resource locator/link to file; Uniform resource locator/link to reference; Use; Volume The use of ground sampled water quality information for global studies is limited due to practical and financial constraints. Remote sensing is a valuable means to overcome such limitations and to provide synoptic views of ambient water quality at appropriate spatio-temporal scales. In past years several large data processing efforts were initiated to provide corresponding data sources. The Diversity II water quality dataset consists of several monthly, yearly and 9-year averaged water quality parameters for 340 lakes worldwide and is based on data from the full ENVISAT MERIS operation period (2002–2012). Existing retrieval methods and datasets were selected after an extensive algorithm intercomparison exercise. Chlorophyll-a, total suspended matter, turbidity, coloured dissolved organic matter, lake surface water temperature, cyanobacteria and floating vegetation maps, as well as several auxiliary data layers, provide a generically specified database that can be used for assessing a variety of locally relevant ecosystem properties and environmental problems. For validation and accuracy assessment, we provide matchup comparisons for 24 lakes and a group of reservoirs representing a wide range of bio-optical conditions. Matchup comparisons for chlorophyll-a concentrations indicate mean absolute errors and bias in the order of median concentrations for individual lakes, while total suspended matter and turbidity retrieval achieve significantly better performance metrics across several lake-specific datasets. We demonstrate the use of the products by illustrating and discussing remotely sensed evidence of lake-specific processes and prominent regime shifts documented in the literature. |
| title | Diversity II water quality parameters for 300 lakes worldwide from ENVISAT (2002-2012) |
| topic | Area; Country; ELEVATION; File name; File size; Flow rate; Identification; LATITUDE; LONGITUDE; Name; ORDINAL NUMBER; Ratio; Type; Uniform resource locator/link to file; Uniform resource locator/link to reference; Use; Volume |
| url | https://doi.org/10.1594/PANGAEA.871462 |