Aquatic ecosystems science using an imaging spectrometer DOI

Ronald B. Lockwood,

Charles M. Bachmann,

Michael Chrisp

et al.

Published: Oct. 4, 2023

The study of aquatic ecosystems is an important research area addressing diverse problems such as carbon sequestration in coastal margins and wetlands, kelp seagrass studies, coral reefs, harmful algal blooms hypoxia, cycling this dynamic environment. application imaging spectrometer to ecosystem particularly challenging due low water-leaving radiance levels adjacent the shore region with its higher values. Committee on Earth Observation Satellites (CEOS) has established more stringent performance standards for visible/near infrared wavelengths than are typically available designs. We have recently developed a compact form spectrometer, Chrisp Compact VNIR/SWIR Imaging Spectrometer (CCVIS), that facilitates their modular usage wide field telescope without sacrificing performance. CCVIS design operational concept predicted approaches CEOS standards. envisioned satellite implementation requires pitchback maneuver where slit projected onto surface slowly scanned while recording focal plane array readouts at rate thereby avoiding saturation over land obtaining high signal-to-noise ratio water. effective frame determined by time it takes scan one ground sample distance (GSD). This approach added benefit measuring range angles during single GSD acquisition, providing insight into bidirectional reflectance distribution function (BRDF).

Language: Английский

Remote sensing of dissolved organic carbon (DOC) stocks, fluxes and transformations along the land-ocean aquatic continuum: advances, challenges, and opportunities DOI Creative Commons
Cédric G. Fichot, Maria Tzortziou, Antonio Mannino

et al.

Earth-Science Reviews, Journal Year: 2023, Volume and Issue: 242, P. 104446 - 104446

Published: May 10, 2023

From stream headwaters to the deep ocean, dissolved organic carbon (DOC) is ubiquitous across world's aquatic systems, where it fulfills important biogeochemical and ecological functions. Importantly, DOC a dynamic component of cycle represents global reservoir (mass carbon) equivalent in size atmospheric CO2 pool. The mobilization, transport, transformations along land-ocean continuum biogeochemically connect terrestrial landscapes, freshwater marine ecosystems, atmosphere. As result, budgets are vulnerable climate- human-driven changes. Having ability quantify stocks, fluxes, consistently accurately systems therefore critical our understanding DOC's functions environment their susceptibility change. In recent years, optical techniques synoptic earth observations have opened new doors achieve this objective on scale. review, we explore how situ measurements, observations, models they inform facilitated large-scale quantification helped shape current cycle. review also explores limitations challenges still face today, discusses upcoming future sensors expected provide insights into

Language: Английский

Citations

27
Driving factors of colored dissolved organic matter dynamics across a complex urbanized estuary DOI Creative Commons
Alana Menendez, Maria Tzortziou

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171083 - 171083

Published: Feb. 20, 2024

The role of estuaries in sourcing and transforming dissolved organic matter - the largest reservoir carbon ocean still presents many unknowns for coastal biogeochemical cycles, is further complicated by increasing human pressures a changing climate. Here, we examined major drivers colored (CDOM) dynamics Long Island Sound (LIS), heavily urbanized estuary National Significance with storied water quality past. A comprehensive new optical dataset, including measurements CDOM absorption fluorescence signatures, was integrated biological hydrological to capture spatiotemporal heterogeneities LIS, its urban-to-rural gradient, dynamic river mouths, blue ecosystems across seasons, following episodic storm events, over five years. Results reveal longitudinal gradients both DOM amount quality. While carbon-rich humic terrigenous dominant riverine-influenced Central Eastern an uncoupling between (aCDOM) (DOC) concentration Western stronger correlation Chlorophyll-a, indicated increased autochthonous production. Closer New York City urban core, aCDOM highly correlated turbidity, consistent wastewater influences. Fluorescence PARAFAC analysis provided strong evidence seasonal processing related summertime photochemical degradation humic-like components shoulder-season microbial processing. Riverine export influenced discharge amount, residence time, wetlands acting as additional sources strongly aromatic matter. These allowed us assess how hydrologic, biological, anthropogenic processes impact and, subsequently, variability trophic status this complex estuary, implications management policy. discussed here are applicable beyond globally face similar forcings.

Language: Английский

Citations

6
Extreme events and impacts on organic carbon cycles from ocean color remote sensing: Review with case study, challenges, and future directions DOI Creative Commons
Eurico J. D’Sa, Maria Tzortziou, Bingqing Liu

et al.

Earth-Science Reviews, Journal Year: 2023, Volume and Issue: 243, P. 104503 - 104503

Published: July 11, 2023

Extreme events and disturbances (e.g., tropical cyclones, extreme precipitation, flooding often associated with land falling storms) affect aquatic carbon (C) cycling at multiple spatiotemporal scales are most impactful in the coastal ocean highly connected ecosystems that include rivers, estuaries, wetlands, continental shelf. Satellite remote sensing its synoptic repeated coverage over large regions across a range of environmental conditions - including severe weather natural disasters, has potential to greatly expand our ability monitor quantify impacts on C cycling, particularly zone. This review presents recent studies have employed combination field data, numerical model simulations, resolution satellite observations assess fluxes, transport, dissolved (DOC) particulate organic (POC) zone, continuum tidal shelf waters. Our highlights challenges quantifying interface examines key research needs opportunities sensor capabilities algorithms) better integrate color modeling efforts improve estimates lateral fluxes between local, regional, global scales.

Language: Английский

Citations

11
Sorption of colored vs. noncolored organic matter by tidal marsh soils DOI Creative Commons
Patrick J. Neale, J. Patrick Megonigal, Maria Tzortziou

et al.

Biogeosciences, Journal Year: 2024, Volume and Issue: 21(10), P. 2599 - 2620

Published: May 29, 2024

Abstract. Tidal marshes are significant sources of colored (or chromophoric) dissolved organic carbon (CDOC) to adjacent waters and, as a result, contribute substantially their optical complexity and ultimately affect water quality. Despite this, our mechanistic understanding the processes that regulate exchange transformation CDOC at tidal marsh–estuarine interface remains limited. We hypothesized marsh soils this subject soil mineralogy salinity environment. To test hypothesis, we generated initial mass sorption isotherms noncolored (NCDOC) using anaerobic batch incubations Great Dismal Swamp DOC with four wetland soils, representing range content (1.77 ± 0.12 % 36.2 2.2 %) across treatments (0, 10, 20, 35). followed Langmuir were similar in shape those total DOC, but greater maximum capacity lower binding affinity. Like increased affinity decreased salinity. Initial natively adsorbed was low content. In contrast, NCDOC desorbed under all conditions desorption increasing linearly concentration. This suggests for solutions displaced on soils. Parallel factor analysis 3-D excitation emission matrices specific ultraviolet absorbance measurements suggested driven primarily by highly aromatic humic-like CDOC. Taken together, these results suggest export composition depending complex interplay between mineralogy, salinity, vs. composition.

Language: Английский

Citations

4
Characterizing Tidal Marsh Inundation with Synthetic Aperture Radar, Radiometric Modeling, and In Situ Water Level Observations DOI Creative Commons
Brian T. Lamb, K. C. McDonald, Maria Tzortziou

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 263 - 263

Published: Jan. 13, 2025

Tidal marshes play a globally critical role in carbon and hydrologic cycles by sequestering dioxide from the atmosphere exporting dissolved organic to connected estuaries. These ecosystems provide habitat variety of fauna also reduce coastal flood impacts. Accurate characterization tidal marsh inundation dynamics is crucial for understanding these processes ecosystem services. In this study, we developed remote sensing-based classifications over range stages Mid-Atlantic Gulf Mexico regions United States. Inundation products were derived C-band L-band synthetic aperture radar (SAR) imagery using backscatter thresholding temporal change detection approaches. validated with situ water level observations radiometric modeling. The Michigan Microwave Canopy Scattering (MIMICS) model was used simulate response across vegetation parameterizations simulated states. Our findings demonstrate that based on SAR—developed applied single-date imagery—were comparable accuracy best performing SAR required approaches time-series (90.0% vs. 88.8% accuracy, respectively). threshold compared polarimetric decompositions quad-polarimetric Phased Array Synthetic Aperture Radar 2 (PALSAR-2) Uninhabited Aerial Vehicle (UAVSAR) imagery. Polarimetric decomposition analysis showed relative shift volume single-bounce scattering double-bounce increasing stage associated increases classified inundated area. MIMICS modeling similarly decrease total inundation. have relevance upcoming NASA-ISRO (NISAR) mission, as threshold-based wetland will be employed verify NISAR datasets satisfy mission science requirements map classification accuracies better than 80% at 1 hectare spatial scales.

Language: Английский

Citations

0
Impacts of Spartina alterniflora invasion on coastal carbon cycling within a native Phragmites australis-dominated wetland DOI
Ying Huang, Jiangtao Wang, Pengfei Wu

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 363, P. 110405 - 110405

Published: Jan. 30, 2025

Language: Английский

Citations

0
Optical classification of an urbanized estuary using hyperspectral remote sensing reflectance DOI Creative Commons
Kyle J. Turner, Maria Tzortziou, Brice Grunert

et al.

Optics Express, Journal Year: 2022, Volume and Issue: 30(23), P. 41590 - 41590

Published: Oct. 17, 2022

Optical water classification based on remote sensing reflectance (Rrs(λ)) data can provide insight into components driving optical variability and inform the development application of bio-optical algorithms in complex aquatic systems. In this study, we use an situ dataset consisting hyperspectral Rrs(λ) other biogeochemical parameters collected over nearly five years across a heavily urbanized estuary, Long Island Sound (LIS), east New York City, USA, to optically classify LIS waters spectral shape. We investigate similarities differences discrete groupings (k-means clustering) continuous indexing using Apparent Visible Wavelength (AVW) relation system biogeochemistry properties. Our was best described by three clusters, first two accounting for majority (89%) observations primarily driven phytoplankton dynamics, with third confined measurements river plume waters. found AVW effective at tracking subtle changes shape fine-scale quality features along river-to-ocean gradients. The recently developed Quality Water Index Polynomial (QWIP) applied evaluate different atmospheric correction approaches satellite-derived from Sentinel-3 Ocean Land Colour Instrument (OLCI) sensor LIS, finding Polymer be preferred approach. results suggest that integrative, indices such as indicators assess nearshore both satellite datasets, needed improved ecosystem resource management similar regions.

Language: Английский

Citations

14
Seasonal drivers of dissolved oxygen across a tidal creek–marsh interface revealed by machine learning DOI Creative Commons
Peter Regier, Nicholas Ward, Allison Myers‐Pigg

et al.

Limnology and Oceanography, Journal Year: 2023, Volume and Issue: 68(10), P. 2359 - 2374

Published: Sept. 12, 2023

Abstract Dissolved oxygen (DO) is a key biogeochemical control in coastal systems, and its concentration drivers vary markedly through time space. This makes it difficult to accurately represent DO associated processes models, limiting our ability predict how these systems will respond global change. We obtained high‐frequency (5‐min) situ measurements of collected at three locations across the interface tidal creek marsh Pacific Northwest, USA. Random Forest machine learning models quantified importance categories environmental (Aquatic, Climatic, Terrestrial) variability creek–marsh interface. selected two 4‐month datasets representing Summer Winter seasonal periods test hypotheses on dominant found that Terrestrial driver—characterized by long anaerobic conditions episodic pulses after floods—was most important during Winter, whereas Aquatic over tidal, diel, lunar cycles—was Summer. explored future climate change scenarios could alter using cumulative sums driver–response framework. Our results suggest under change, Climatic may increase Summer, potentially linked changing metabolic regimes sea level, with driver increasing Winter. approach highlights useful methods for understanding spatiotemporal complexity interfaces quantifying relative distinct drivers.

Language: Английский

Citations

7
High frequency, continuous measurements reveal strong diel and seasonal cycling of pCO2 and CO2 flux in a mesohaline reach of the Chesapeake Bay DOI Creative Commons
A. Whitman Miller, Jim R. Muirhead,

Amanda C. Reynolds

et al.

Published: Jan. 2, 2024

Abstract. We estimated hourly air-water gas transfer velocities (k600) for carbon dioxide in the Rhode River, a mesohaline subestuary of Chesapeake Bay. Gas were calculated from estuary-specific parameterizations developed explicitly shallow, microtidal estuaries Mid-Atlantic region United States, using standardized wind speed measurements. Combining velocity with continuous measurements pCO2 water and overlying atmosphere, we determined direction magnitude CO2 flux at intervals across 3-year record (01 July 2018 to 01 2021). Continuous year-round enabled us document strong seasonal cycling whereby River is net autotrophic during cold-water months (Dec–May), largely heterotrophic warm-water (Jun–Nov). Although there inter-annual variability annual mean condition near neutral. Measurement high temporal resolution multiple years revealed that can reverse single 24-hour period. are mediated by temperature effects on biological activity inverse temperature-dependent physical solubility water. Biological/biogeochemical fixation mineralization rapid extensive, so sufficient sampling frequency crucial capture unbiased extremes central tendencies these estuarine ecosystems.

Language: Английский

Citations

2
Capturing the Dynamics of Dissolved Organic Carbon (DOC) in Tidal Saltmarsh Estuaries Using Remote‐Sensing‐Informed Models DOI
Aylin Tuzcu Kokal, Joshua P. Harringmeyer, Olivia Cronin‐Golomb

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2024, Volume and Issue: 129(10)

Published: Oct. 1, 2024

Abstract The fluxes of dissolved organic carbon (DOC) through tidal marsh‐influenced estuaries remain poorly quantified and have been identified as a missing component in carbon‐cycle models. extreme variability inherent to these ecosystems the land‐ocean interface challenge our ability capture DOC‐concentration dynamics calculate accurate DOC fluxes. In situ discrete continuous measurements provide high‐quality estimates concentration, but strategies are constrained spatially temporally can be costly operate. Here, field high‐spatial‐resolution remote sensing were used train validate predictive model distributions Plum Island Estuary (PIE), mesotidal saltmarsh‐influenced estuary Massachusetts. A large set collected between 2017 2023 was develop an empirical algorithm retrieve concentration with ±15% uncertainty from Sentinel‐2 imagery. Implementation on 141 useable images produced 6‐year time series (2017–2023) along thalweg. Analysis helped identify river discharge, water level (WL), marsh enhanced vegetation index 2 predictors distribution estuary, facilitated training validation simple estimating distribution. This able predict PIE thalweg within ±16% measurements. for three years (2020–2022) illustrated how this type remote‐sensing‐informed models coupled outputs hydrodynamic estimate export coastal ocean.

Language: Английский

Citations

2