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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Song Yumeng, Zhang Jing
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2021
Materias:
Acceso en línea:https://doaj.org/article/84019df85bb24f4eb9734a0e27e7c230
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:84019df85bb24f4eb9734a0e27e7c230
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic constructed wetland
ecohydraulic modeling
phytoplankton
chlorophyll-a
spot 6
Geology
QE1-996.5
spellingShingle 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