Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images
We integrated hyperspectral and field-measured chlorophyll-a (Chl-a) data from the Kristalbad constructed wetland in the Netherlands. We developed a best-fit band ratio empirical algorithm to generate a distribution map of Chl-a concentration (C chla) from SPOT 6 imagery. The C...
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De Gruyter
2021
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oai:doaj.org-article:84019df85bb24f4eb9734a0e27e7c2302021-12-05T14:10:48ZMonitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images2391-544710.1515/geo-2020-0243https://doaj.org/article/84019df85bb24f4eb9734a0e27e7c2302021-04-01T00:00:00Zhttps://doi.org/10.1515/geo-2020-0243https://doaj.org/toc/2391-5447We integrated hyperspectral and field-measured chlorophyll-a (Chl-a) data from the Kristalbad constructed wetland in the Netherlands. We developed a best-fit band ratio empirical algorithm to generate a distribution map of Chl-a concentration (C chla) from SPOT 6 imagery. The C chla retrieved from remote sensing was compared with a water quality model established for a wetland pond system. The retrieved satellite results were combined with a water quality model to simulate and predict the changes in phytoplankton levels. The regression model provides good retrievals for Chl-a. The imagery-derived C chla performed well in calibrating the simulation results. For each pond, the modeled C chla showed a range of values similar to the Chl-a data derived from SPOT 6 imagery (10–25 mg m−3). The imagery-derived and prediction model results could be used as the guiding analytical tools to provide information covering an entire study area and to inform policies.Song YumengZhang JingDe Gruyterarticleconstructed wetlandecohydraulic modelingphytoplanktonchlorophyll-aspot 6GeologyQE1-996.5ENOpen Geosciences, Vol 13, Iss 1, Pp 454-468 (2021) |
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constructed wetland ecohydraulic modeling phytoplankton chlorophyll-a spot 6 Geology QE1-996.5 |
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constructed wetland ecohydraulic modeling phytoplankton chlorophyll-a spot 6 Geology QE1-996.5 Song Yumeng Zhang Jing Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images |
description |
We integrated hyperspectral and field-measured chlorophyll-a (Chl-a) data from the Kristalbad constructed wetland in the Netherlands. We developed a best-fit band ratio empirical algorithm to generate a distribution map of Chl-a concentration (C
chla) from SPOT 6 imagery. The C
chla retrieved from remote sensing was compared with a water quality model established for a wetland pond system. The retrieved satellite results were combined with a water quality model to simulate and predict the changes in phytoplankton levels. The regression model provides good retrievals for Chl-a. The imagery-derived C
chla performed well in calibrating the simulation results. For each pond, the modeled C
chla showed a range of values similar to the Chl-a data derived from SPOT 6 imagery (10–25 mg m−3). The imagery-derived and prediction model results could be used as the guiding analytical tools to provide information covering an entire study area and to inform policies. |
format |
article |
author |
Song Yumeng Zhang Jing |
author_facet |
Song Yumeng Zhang Jing |
author_sort |
Song Yumeng |
title |
Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images |
title_short |
Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images |
title_full |
Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images |
title_fullStr |
Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images |
title_full_unstemmed |
Monitoring and simulating the distribution of phytoplankton in constructed wetlands based on SPOT 6 images |
title_sort |
monitoring and simulating the distribution of phytoplankton in constructed wetlands based on spot 6 images |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/84019df85bb24f4eb9734a0e27e7c230 |
work_keys_str_mv |
AT songyumeng monitoringandsimulatingthedistributionofphytoplanktoninconstructedwetlandsbasedonspot6images AT zhangjing monitoringandsimulatingthedistributionofphytoplanktoninconstructedwetlandsbasedonspot6images |
_version_ |
1718371733138833408 |