TY - JOUR A1 - Klein, Konstantin A1 - Lantuit, Hugues A1 - Rolph, Rebecca T1 - Drivers of Turbidity and Its Seasonal Variability at Herschel Island Qikiqtaruk (Western Canadian Arctic) JF - Water / Molecular Diversity Preservation International (MDPI) N2 - The Arctic is greatly affected by climate change. Increasing air temperatures drive permafrost thaw and an increase in coastal erosion and river discharge. This results in a greater input of sediment and organic matter into nearshore waters, impacting ecosystems by reducing light transmission through the water column and altering biogeochemistry. This potentially results in impacts on the subsistence economy of local people as well as the climate due to the transformation of suspended organic matter into greenhouse gases. Even though the impacts of increased suspended sediment concentrations and turbidity in the Arctic nearshore zone are well-studied, the mechanisms underpinning this increase are largely unknown. Wave energy and tides drive the level of turbidity in the temperate and tropical parts of the world, and this is generally assumed to also be the case in the Arctic. However, the tidal range is considerably lower in the Arctic, and processes related to the occurrence of permafrost have the potential to greatly contribute to nearshore turbidity. In this study, we use high-resolution satellite imagery alongside in situ and ERA5 reanalysis data of ocean and climate variables in order to identify the drivers of nearshore turbidity, along with its seasonality in the nearshore waters of Herschel Island Qikiqtaruk, in the western Canadian Arctic. Nearshore turbidity correlates well to wind direction, wind speed, significant wave height, and wave period. Nearshore turbidity is superiorly correlated to wind speed at the Beaufort Shelf compared to in situ measurements at Herschel Island Qikiqtaruk, showing that nearshore turbidity, albeit being of limited spatial extent, is influenced by large-scale weather and ocean phenomenons. We show that, in contrast to the temperate and tropical ocean, freshly eroded material is the predominant driver of nearshore turbidity in the Arctic, rather than resuspension, which is caused by the vulnerability of permafrost coasts to thermo-erosion. KW - ocean color remote sensing KW - Arctic ocean KW - suspended sediment KW - Landsat KW - Sentinel 2 KW - ERA5 KW - nearshore zone Y1 - 2022 U6 - https://doi.org/10.3390/w14111751 SN - 2073-4441 VL - 14 SP - 1 EP - 13 PB - MDPI CY - Basel, Schweiz ET - 11 ER - TY - GEN A1 - Klein, Konstantin A1 - Lantuit, Hugues A1 - Rolph, Rebecca T1 - Drivers of Turbidity and Its Seasonal Variability at Herschel Island Qikiqtaruk (Western Canadian Arctic) T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - The Arctic is greatly affected by climate change. Increasing air temperatures drive permafrost thaw and an increase in coastal erosion and river discharge. This results in a greater input of sediment and organic matter into nearshore waters, impacting ecosystems by reducing light transmission through the water column and altering biogeochemistry. This potentially results in impacts on the subsistence economy of local people as well as the climate due to the transformation of suspended organic matter into greenhouse gases. Even though the impacts of increased suspended sediment concentrations and turbidity in the Arctic nearshore zone are well-studied, the mechanisms underpinning this increase are largely unknown. Wave energy and tides drive the level of turbidity in the temperate and tropical parts of the world, and this is generally assumed to also be the case in the Arctic. However, the tidal range is considerably lower in the Arctic, and processes related to the occurrence of permafrost have the potential to greatly contribute to nearshore turbidity. In this study, we use high-resolution satellite imagery alongside in situ and ERA5 reanalysis data of ocean and climate variables in order to identify the drivers of nearshore turbidity, along with its seasonality in the nearshore waters of Herschel Island Qikiqtaruk, in the western Canadian Arctic. Nearshore turbidity correlates well to wind direction, wind speed, significant wave height, and wave period. Nearshore turbidity is superiorly correlated to wind speed at the Beaufort Shelf compared to in situ measurements at Herschel Island Qikiqtaruk, showing that nearshore turbidity, albeit being of limited spatial extent, is influenced by large-scale weather and ocean phenomenons. We show that, in contrast to the temperate and tropical ocean, freshly eroded material is the predominant driver of nearshore turbidity in the Arctic, rather than resuspension, which is caused by the vulnerability of permafrost coasts to thermo-erosion. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1270 KW - ocean color remote sensing KW - Arctic ocean KW - suspended sediment KW - Landsat KW - Sentinel 2 KW - ERA5 KW - nearshore zone Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-561765 SN - 1866-8372 SP - 1 EP - 13 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Klein, Konstantin P. A1 - Lantuit, Hugues A1 - Heim, Birgit A1 - Fell, Frank A1 - Doxaran, David A1 - Irrgang, Anna Maria T1 - Long-Term High-Resolution Sediment and Sea Surface Temperature Spatial Patterns in Arctic Nearshore Waters Retrieved Using 30-Year Landsat Archive Imagery JF - Remote sensing N2 - The Arctic is directly impacted by climate change. The increase in air temperature drives the thawing of permafrost and an increase in coastal erosion and river discharge. This leads to a greater input of sediment and organic matter into coastal waters, which substantially impacts the ecosystems, the subsistence economy of the local population, and the climate because of the transformation of organic matter into greenhouse gases. Yet, the patterns of sediment dispersal in the nearshore zone are not well known, because ships do not often reach shallow waters and satellite remote sensing is traditionally focused on less dynamic environments. The goal of this study is to use the extensive Landsat archive to investigate sediment dispersal patterns specifically on an exemplary Arctic nearshore environment, where field measurements are often scarce. Multiple Landsat scenes were combined to calculate means of sediment dispersal and sea surface temperature under changing seasonal wind conditions in the nearshore zone of Herschel Island Qikiqtaruk in the western Canadian Arctic since 1982. We use observations in the Landsat red and thermal wavebands, as well as a recently published water turbidity algorithm to relate archive wind data to turbidity and sea surface temperature. We map the spatial patterns of turbidity and water temperature at high spatial resolution in order to resolve transport pathways of water and sediment at the water surface. Our results show that these pathways are clearly related to the prevailing wind conditions, being ESE and NW. During easterly wind conditions, both turbidity and water temperature are significantly higher in the nearshore area. The extent of the Mackenzie River plume and coastal erosion are the main explanatory variables for sediment dispersal and sea surface temperature distributions in the study area. During northwesterly wind conditions, the influence of the Mackenzie River plume is negligible. Our results highlight the potential of high spatial resolution Landsat imagery to detect small-scale hydrodynamic processes, but also show the need to specifically tune optical models for Arctic nearshore environments. KW - ocean color remote sensing KW - suspended particulate matter KW - turbidity KW - nearshore zone KW - Herschel Island Qikiqtaruk KW - river plume KW - coastal erosion KW - Landsat Y1 - 2019 U6 - https://doi.org/10.3390/rs11232791 SN - 2072-4292 VL - 11 IS - 23 PB - MDPI CY - Basel ER - TY - THES A1 - Klein, Konstantin Paul T1 - Remote Sensing of Suspended Sediment Dynamics in the Arctic Nearshore Zone T1 - Sedimentdynamiken im arktischen Nahküstenbereich analysiert mit Fernerkundungsdaten N2 - The Arctic nearshore zone plays a key role in the carbon cycle. Organic-rich sediments get eroded off permafrost affected coastlines and can be directly transferred to the nearshore zone. Permafrost in the Arctic stores a high amount of organic matter and is vulnerable to thermo-erosion, which is expected to increase due to climate change. This will likely result in higher sediment loads in nearshore waters and has the potential to alter local ecosystems by limiting light transmission into the water column, thus limiting primary production to the top-most part of it, and increasing nutrient export from coastal erosion. Greater organic matter input could result in the release of greenhouse gases to the atmosphere. Climate change also acts upon the fluvial system, leading to greater discharge to the nearshore zone. It leads to decreasing sea-ice cover as well, which will both increase wave energy and lengthen the open-water season. Yet, knowledge on these processes and the resulting impact on the nearshore zone is scarce, because access to and instrument deployment in the nearshore zone is challenging. Remote sensing can alleviate these issues in providing rapid data delivery in otherwise non-accessible areas. However, the waters in the Arctic nearshore zone are optically complex, with multiple influencing factors, such as organic rich suspended sediments, colored dissolved organic matter (cDOM), and phytoplankton. The goal of this dissertation was to use remotely sensed imagery to monitor processes related to turbidity caused by suspended sediments in the Arctic nearshore zone. In-situ measurements of water-leaving reflectance and surface water turbidity were used to calibrate a semi-empirical algorithm which relates turbidity from satellite imagery. Based on this algorithm and ancillary ocean and climate variables, the mechanisms underpinning nearshore turbidity in the Arctic were identified at a resolution not achieved before. The calibration of the Arctic Nearshore Turbidity Algorithm (ANTA) was based on in-situ measurements from the coastal and inner-shelf waters around Herschel Island Qikiqtaruk (HIQ) in the western Canadian Arctic from the summer seasons 2018 and 2019. It performed better than existing algorithms, developed for global applications, in relating turbidity from remotely sensed imagery. These existing algorithms were lacking validation data from permafrost affected waters, and were thus not able to reflect the complexity of Arctic nearshore waters. The ANTA has a higher sensitivity towards the lowest turbidity values, which is an asset for identifying sediment pathways in the nearshore zone. Its transferability to areas beyond HIQ was successfully demonstrated using turbidity measurements matching satellite image recordings from Adventfjorden, Svalbard. The ANTA is a powerful tool that provides robust turbidity estimations in a variety of Arctic nearshore environments. Drivers of nearshore turbidity in the Arctic were analyzed by combining ANTA results from the summer season 2019 from HIQ with ocean and climate variables obtained from the weather station at HIQ, the ERA5 reanalysis database, and the Mackenzie River discharge. ERA5 reanalysis data were obtained as domain averages over the Canadian Beaufort Shelf. Nearshore turbidity was linearly correlated to wind speed, significant wave height and wave period. Interestingly, nearshore turbidity was only correlated to wind speed at the shelf, but not to the in-situ measurements from the weather station at HIQ. This shows that nearshore turbidity, albeit being of limited spatial extent, gets influenced by the weather conditions multiple kilometers away, rather than in its direct vicinity. The large influence of wave energy on nearshore turbidity indicates that freshly eroded material off the coast is a major contributor to the nearshore sediment load. This contrasts results from the temperate and tropical oceans, where tides and currents are the major drivers of nearshore turbidity. The Mackenzie River discharge was not identified as a driver of nearshore turbidity in 2019, however, the analysis of 30 years of Landsat archive imagery from 1986 to 2016 suggests a direct link between the prevailing wind direction, which heavily influences the Mackenzie River plume extent, and nearshore turbidity around HIQ. This discrepancy could be caused by the abnormal discharge behavior of the Mackenzie River in 2019. This dissertation has substantially advanced the understanding of suspended sediment processes in the Arctic nearshore zone and provided new monitoring tools for future studies. The presented results will help to understand the role of the Arctic nearshore zone in the carbon cycle under a changing climate. N2 - Der arktische Nahküstenbereich spielt eine wichtige Rolle im Kohlenstoffkreislauf. Küsten, die Permafrostböden aufweisen, sind sehr anfällig für Thermoerosion, wodurch Sediment und unzersetzte, organische Überreste in den Arktischen Ozean gelangen können. Durch den Klimawandel ist davon auszugehen, dass Thermoerosion in Zukunft größere Erosionsraten hervorrufen wird. Permafrostböden enthalten große Mengen organischer Überreste, die nach dem Auftauen von Mikroorganismen zersetzt werden, wodurch Treibhausgase in die Atmosphäre gelangen können. Erhöhte Sedimentmengen in den Küstengewässern verhindert außerdem das Eindringen elektromagnetischer Strahlung in die Wassersäule, wodurch die auf Photosynthese basierte Primärproduktion in tieferen Wasserschichten stark reduziert wird. Durch den Klimawandel transportieren Flüsse in der Arktis mehr Frischwasser und Sediment in die Nahküstenbereiche, und erhöhte Temperaturen verringern die Meereisausdehnung. All diese Prozesse können das Ökosystem des arktischen Nahküstenbereiches nachhaltig verändern, allerdings ist das Verständnis von Interaktionen untereinander und deren Resultate begrenzt, da sich die Datensammlung in arktischen Nahküstenbereichen sehr herausfordernd gestaltet. Fernerkundungsmethoden bieten die Möglichkeit der vergleichsweise unkomplizierten Datenaufnahme nur schwer erreichbarer Regionen wie dem arktischen Nahküstenbereich. Arktische Küstengewässer sind allerdings optisch komplex, und Wasserinhaltsstoffe wie Sediment, organische Überreste, gelöstes Material und Plankton erschweren genaue Analysen. Das Ziel dieser Dissertation ist es, Satellitenbilder zu analysieren und Sedimentdynamiken zu identifizieren, die die Wassertrübung beeinflussen. In einem empirischen Algorithmus wird die von der Wasseroberfläche reflektierte elektromagnetische Strahlung genutzt, um die Wassertrübung zu berechnen. Zusammen mit einer Sammlung von Wetterdaten und anderen Umwelteinflüssen wurden Mechanismen identifiziert, die die Wassertrübung arktischer Küstengewässer beeinflussen. Die Kalibrierung des Algorithmus zur Berechnung der Wassertrübung (ANTA) wurde mit Messungen aus den Küstengewässern in der Nähe von Herschel Island Qikiqtaruk (HIQ) auf dem Kanadischen Beaufortschelf durchgeführt. Seine Anwendung führt verglichen mit bereits existierenden Algorithmen zu besseren Ergebnissen, die für den weltweiten Gebrauch vorgesehen sind. Für die Kalibrierung dieser Algorithmen wurden keine Messungen arktischer Nahküstenbereiche genutzt, wodurch die optische Komplexität nur unzureichend wiedergegeben werden kann. Der ANTA ist besser geeignet, um Transportwege von Sediment an der Wasseroberfläche zu identifizieren, weil nahezu klare Gewässer mit höherer Genauigkeit klassifiziert werden. Messungen aus dem Adventfjord in Spitzbergen zeigen, dass der ANTA auch außerhalb der Kanadischen Beaufortsee akkurate Ergebnisse produziert, was ihn zu einem wichtigen Werkzeug zukünftiger Untersuchungen arktischer Nahküstenbereiche macht. Um Prozesse zu identifizieren, die die Wassertrübung in arktischen Küstengewässern beeinflussen, wurden ANTA-Ergebnisse aus dem Sommer 2019 von HIQ, Messungen der Wetterstation auf HIQ, Wetter- und Klimamodellierungen des Kanadischen Beaufortschelfes und Abflussdaten des Mackenzie genutzt. Die Wassertrübung korreliert linear mit der Windgeschwindigkeit, der Wellenhöhe und der Wellenperiodendauer. Es ist beachtenswert, dass die Wassertrübung nur mit der Windgeschwindigkeit auf dem Beaufortschelf, nicht aber mit der Windgeschwindigkeit auf HIQ korreliert. Dies zeigt, dass weit entfernte Prozesse großen Einfluss auf die Wassertrübung in arktischen Küstengewässern haben können, obwohl die Wassertrübung selber nur ein kleines Gebiet beeinflusst. Der große Einfluss von Wellenenergie aus die Wassertrübung unterstreicht sowohl die Wirksamkeit von Erosion als auch, dass kürzlich erodiertes Sediment einen erheblichen Anteil der Sedimentfracht im Nahküstenbereich ausmacht. Dies unterscheidet den Arktischen Ozean von den gemäßigten und tropischen Ozeanen, wo Gezeiten und Strömungen die größten Einflüsse auf die Wassertrübung im Nahküstenbereich sind. Die vom Mackenzie transportierten Sedimente haben keinen Einfluss auf die Wassertrübung um HIQ im Sommer 2019, allerdings zeigt die Analyse des dreißigjährigen Bildarchives der Landsat-Satelliten, dass die Windrichtung, welche maßgeblichen Einfluss auf die Verteilung der transportierten Sedimente nimmt, ein wichtiger Faktor sein kann. Diese Diskrepanz könnte jedoch auch dem untypischen Abflussverhalten des Mackenzie im Jahr 2019 geschuldet sein. Diese Dissertation hat maßgeblichen Anteil am derzeitigen Verständnis der Prozesse im dynamischen Nahküstenbereich des Arktischen Ozeans. Die vorgestellten Methoden und erlangten Ergebnisse werden helfen, in zukünftigen Studien die Rolle des arktischen Nahküstenbereiches im Kohlenstoffkreislauf zu analysieren und quantifizieren. KW - ocean color remote sensing KW - Arctic nearhore zone KW - turbidity modelling KW - arktischer Nahküstenbereich KW - Gewässerfernerkundung KW - Modellierung der Wassertrübung Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-576032 ER - TY - JOUR A1 - Klein, Konstantin P. A1 - Lantuit, Hugues A1 - Heim, Birgit A1 - Doxaran, David A1 - Juhls, Bennet A1 - Nitze, Ingmar A1 - Walch, Daniela A1 - Poste, Amanda A1 - Søreide, Janne E. T1 - The Arctic Nearshore Turbidity Algorithm (ANTA) BT - A multi sensor turbidity algorithm for Arctic nearshore environments JF - Science of remote sensing N2 - The Arctic is greatly impacted by climate change. The increase in air temperature drives the thawing of permafrost and an increase in coastal erosion and river discharge. This leads to a greater input of sediment and organic matter into coastal waters, which substantially impacts the ecosystems by reducing light transmission through the water column and altering the biogeochemistry, but also the subsistence economy of local people, and changes in climate because of the transformation of organic matter into greenhouse gases. Yet, the quantification of suspended sediment in Arctic coastal and nearshore waters remains unsatisfactory due to the absence of dedicated algorithms to resolve the high loads occurring in the close vicinity of the shoreline. In this study we present the Arctic Nearshore Turbidity Algorithm (ANTA), the first reflectance-turbidity relationship specifically targeted towards Arctic nearshore waters that is tuned with in-situ measurements from the nearshore waters of Herschel Island Qikiqtaruk in the western Canadian Arctic. A semi-empirical model was calibrated for several relevant sensors in ocean color remote sensing, including MODIS, Sentinel 3 (OLCI), Landsat 8 (OLI), and Sentinel 2 (MSI), as well as the older Landsat sensors TM and ETM+. The ANTA performed better with Landsat 8 than with Sentinel 2 and Sentinel 3. The application of the ANTA to Sentinel 2 imagery that matches in-situ turbidity samples taken in Adventfjorden, Svalbard, shows transferability to nearshore areas beyond Herschel Island Qikiqtaruk. KW - Ocean color remote sensing KW - Turbidity retrieval KW - Nearshore zone KW - Arctic Ocean Y1 - 2021 U6 - https://doi.org/10.1016/j.srs.2021.100036 SN - 2666-0172 VL - 4 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Klein, Konstantin P. A1 - Lantuit, Hugues A1 - Heim, Birgit A1 - Doxaran, David A1 - Juhls, Bennet A1 - Nitze, Ingmar A1 - Walch, Daniela A1 - Poste, Amanda A1 - Søreide, Janne E. T1 - The Arctic Nearshore Turbidity Algorithm (ANTA) BT - A multi sensor turbidity algorithm for Arctic nearshore environments T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - The Arctic is greatly impacted by climate change. The increase in air temperature drives the thawing of permafrost and an increase in coastal erosion and river discharge. This leads to a greater input of sediment and organic matter into coastal waters, which substantially impacts the ecosystems by reducing light transmission through the water column and altering the biogeochemistry, but also the subsistence economy of local people, and changes in climate because of the transformation of organic matter into greenhouse gases. Yet, the quantification of suspended sediment in Arctic coastal and nearshore waters remains unsatisfactory due to the absence of dedicated algorithms to resolve the high loads occurring in the close vicinity of the shoreline. In this study we present the Arctic Nearshore Turbidity Algorithm (ANTA), the first reflectance-turbidity relationship specifically targeted towards Arctic nearshore waters that is tuned with in-situ measurements from the nearshore waters of Herschel Island Qikiqtaruk in the western Canadian Arctic. A semi-empirical model was calibrated for several relevant sensors in ocean color remote sensing, including MODIS, Sentinel 3 (OLCI), Landsat 8 (OLI), and Sentinel 2 (MSI), as well as the older Landsat sensors TM and ETM+. The ANTA performed better with Landsat 8 than with Sentinel 2 and Sentinel 3. The application of the ANTA to Sentinel 2 imagery that matches in-situ turbidity samples taken in Adventfjorden, Svalbard, shows transferability to nearshore areas beyond Herschel Island Qikiqtaruk. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1250 KW - Ocean color remote sensing KW - Turbidity retrieval KW - Nearshore zone KW - Arctic Ocean Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-553692 SN - 1866-8372 IS - 1250 ER -