Remote Sensing of Algal Blooms in Lake Mývatn, Iceland

Lake Mývatn in Iceland is a eutrophic lake well-known for its unique ecosystem. Planktonic cyanobacteria are of vital importance to its ecosystem. Cyanobacterial blooms in the water column shade the bottom and reduce growth of benthic macrophytes; its increased frequency and duration have resulted i...

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Bibliographic Details
Main Author: Johanne Cornelia van Linge 1994-
Other Authors: Háskóli Íslands
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/1946/33278
id ftskemman:oai:skemman.is:1946/33278
record_format openpolar
spelling ftskemman:oai:skemman.is:1946/33278 2023-05-15T16:49:08+02:00 Remote Sensing of Algal Blooms in Lake Mývatn, Iceland Johanne Cornelia van Linge 1994- Háskóli Íslands 2019-05 application/pdf image/jpeg http://hdl.handle.net/1946/33278 en eng http://hdl.handle.net/1946/33278 Jarðfræði Vistkerfi Lífríkið Fjarkönnun Rannsóknir Mývatn Thesis Master's 2019 ftskemman 2022-12-11T06:53:28Z Lake Mývatn in Iceland is a eutrophic lake well-known for its unique ecosystem. Planktonic cyanobacteria are of vital importance to its ecosystem. Cyanobacterial blooms in the water column shade the bottom and reduce growth of benthic macrophytes; its increased frequency and duration have resulted in major reduction in benthic green algae, including the near disappearance of the rare Marimo balls. For the past 50 years the ecosystem has been monitored in considerable detail, however no research using remote sensing on algae or cyanobacteria has been done for Lake Mývatn. Previous research for other turbid inland waters provides various methods of quantifying algal and cyanobacterial blooms by estimating concentrations of their indicators; chlorophyll-a (CHL) and phycocyanin (PC). This study tested two CHL and one PC quantification methods on Lake Mývatn for the summers of 2016 and 2018 using multispectral satellite images from Landsat 8, Sentinel-2 and Advanced Land Imager. CHL and PC concentration maps were computed and validated with in-situ concentration measurements. The overall accuracy of the three methods were R2=0.09 (CHL1), R2=0.11 (CHL2), and R2=0.07 (PC). The results show that applying these methods in a new study area is nontrivial. In order to accurately predict algae pigment concentrations, method optimisation should be performed with in-situ spectral data. Once the newly proposed method shows statistically significant results, concentration maps can be created of Lake Mývatn for future and past satellite images. This can provide insight into algal and cyanobacterial blooming in Lake Mývatn and its influence on the lake’s ecosystem. Mývatn er þekkt fyrir einstakt vistkerfi, og gegna blágrænar bakteríur þar mikilvægu hlutverki. Mikill bakteríublómi við yfirborð getur þó skyggt á lífverur við botninn, og aukin tíðni og lengd slíkra blóma hefur valdið skaða á grænþörungum þar, þ.á m. svokölluðum kúluskít, sem er nokkuð fágætur. Lífríki Mývatns hefur verið vaktað fremur ítarlega undanfarin 50 ár, en ... Thesis Iceland Mývatn Skemman (Iceland) Mývatn ENVELOPE(-16.985,-16.985,65.600,65.600)
institution Open Polar
collection Skemman (Iceland)
op_collection_id ftskemman
language English
topic Jarðfræði
Vistkerfi
Lífríkið
Fjarkönnun
Rannsóknir
Mývatn
spellingShingle Jarðfræði
Vistkerfi
Lífríkið
Fjarkönnun
Rannsóknir
Mývatn
Johanne Cornelia van Linge 1994-
Remote Sensing of Algal Blooms in Lake Mývatn, Iceland
topic_facet Jarðfræði
Vistkerfi
Lífríkið
Fjarkönnun
Rannsóknir
Mývatn
description Lake Mývatn in Iceland is a eutrophic lake well-known for its unique ecosystem. Planktonic cyanobacteria are of vital importance to its ecosystem. Cyanobacterial blooms in the water column shade the bottom and reduce growth of benthic macrophytes; its increased frequency and duration have resulted in major reduction in benthic green algae, including the near disappearance of the rare Marimo balls. For the past 50 years the ecosystem has been monitored in considerable detail, however no research using remote sensing on algae or cyanobacteria has been done for Lake Mývatn. Previous research for other turbid inland waters provides various methods of quantifying algal and cyanobacterial blooms by estimating concentrations of their indicators; chlorophyll-a (CHL) and phycocyanin (PC). This study tested two CHL and one PC quantification methods on Lake Mývatn for the summers of 2016 and 2018 using multispectral satellite images from Landsat 8, Sentinel-2 and Advanced Land Imager. CHL and PC concentration maps were computed and validated with in-situ concentration measurements. The overall accuracy of the three methods were R2=0.09 (CHL1), R2=0.11 (CHL2), and R2=0.07 (PC). The results show that applying these methods in a new study area is nontrivial. In order to accurately predict algae pigment concentrations, method optimisation should be performed with in-situ spectral data. Once the newly proposed method shows statistically significant results, concentration maps can be created of Lake Mývatn for future and past satellite images. This can provide insight into algal and cyanobacterial blooming in Lake Mývatn and its influence on the lake’s ecosystem. Mývatn er þekkt fyrir einstakt vistkerfi, og gegna blágrænar bakteríur þar mikilvægu hlutverki. Mikill bakteríublómi við yfirborð getur þó skyggt á lífverur við botninn, og aukin tíðni og lengd slíkra blóma hefur valdið skaða á grænþörungum þar, þ.á m. svokölluðum kúluskít, sem er nokkuð fágætur. Lífríki Mývatns hefur verið vaktað fremur ítarlega undanfarin 50 ár, en ...
author2 Háskóli Íslands
format Thesis
author Johanne Cornelia van Linge 1994-
author_facet Johanne Cornelia van Linge 1994-
author_sort Johanne Cornelia van Linge 1994-
title Remote Sensing of Algal Blooms in Lake Mývatn, Iceland
title_short Remote Sensing of Algal Blooms in Lake Mývatn, Iceland
title_full Remote Sensing of Algal Blooms in Lake Mývatn, Iceland
title_fullStr Remote Sensing of Algal Blooms in Lake Mývatn, Iceland
title_full_unstemmed Remote Sensing of Algal Blooms in Lake Mývatn, Iceland
title_sort remote sensing of algal blooms in lake mývatn, iceland
publishDate 2019
url http://hdl.handle.net/1946/33278
long_lat ENVELOPE(-16.985,-16.985,65.600,65.600)
geographic Mývatn
geographic_facet Mývatn
genre Iceland
Mývatn
genre_facet Iceland
Mývatn
op_relation http://hdl.handle.net/1946/33278
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