High spatial resolution sea surface climatology from Landsat thermal infrared data

Fisher, Jeremy; Mustard, John F.

doi:10.1016/j.rse.2004.01.008

Cited by 54 publications

(37 citation statements)

References 19 publications

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“…This is called the "sea surface effect" (Schluessel et al 1990;Banks et al 1996;Fisher and Mustard 2004). Bulk water temperatures are, therefore, not strictly determined by TIR remote sensing (Brown et al 2005) since temperature micro-gradients between surface and bulk water exist (Fisher and Mustard 2004). Skin temperatures are colder than bulk water because of evaporative cooling (Handcock et al 2006); however, temperature differences between skin and bulk water are usually between 0.3 and 0.5°C (Schluessel et al 1990;Emery et al 1994;Donlon et al 1998;Emery et al 2001).…”

Section: Sea Surface Effectmentioning

confidence: 99%

High‐resolution aerial infrared mapping of groundwater discharge to the coastal ocean

Kelly

Glenn

Lucey

2013

Limnology & Ocean Methods

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Submarine groundwater discharge (SGD) is a principal pathway for nutrient and contaminant entry into coastal zones worldwide. The ability of SGD to transport dissolved constituents, and the spatially and temporally variable nature of SGD, require rapid and high‐resolution data acquisition at the scales in which it is commonly observed. Airborne thermal infrared (TIR) remote sensing is uniquely qualified for this task, and is applicable wherever > 0.1°C temperature contrasts exist between discharging and receiving waters. We investigated SGD on three of the largest Hawaiian Islands, including most of Oahu, much of western Hawaii, and most of western Maui. The resulting images are 0.5 to 3.2 m‐resolution sea‐surface temperature maps that are accurate to 0.7°C. In this article, we lay the foundation for a complete methodology of TIR data collection, post‐flight data processing, and image interpretation for groundwater discharge research. We demonstrate that groundwater plume areas are linearly and highly correlated to in situ groundwater fluxes. These results illustrate the potential for volumetric quantification and up‐scaling of small‐ to regional‐scale SGD. These methodologies provide a tremendous advantage for identifying and differentiating point‐source and diffuse groundwater discharge into oceans, lakes, and streams. The techniques are also important precursors for developing best‐use strategies for time‐consuming in situ studies, and represent a substantial new asset for those concerned with coastal‐zone research, planning, and management.

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Section: Sea Surface Effectmentioning

confidence: 99%

High‐resolution aerial infrared mapping of groundwater discharge to the coastal ocean

Kelly

Glenn

Lucey

2013

Limnology & Ocean Methods

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“…Historically, Landsat data have been used in coastal and inland waters to map both particulate matter and surface temperature at finer spatial resolution (∼ 30 and ∼ 100 m respectively) (Hellweger et al, 2004;Fisher and Mustard, 2004, and references therein). The recently launched Landsat 8 (L8) has been deemed suitable for studying aquatic environments due to improved data quality and spectral coverage (Irons et al, 2012;Pahlevan et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event

et al. 2015

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Abstract. Sea surface temperature (SST) and turbidity (T) derived from Landsat 8 (L8) imagery were used to characterize river plumes in the northern Adriatic Sea (NAS) during a significant flood event in November 2014. Circulation patterns and sea surface salinity (SSS) from an operational coupled ocean-wave model supported the interpretation of the plumes' interaction with the receiving waters and among them.There was a good agreement of the SSS, T, and SST fields at the sub-mesoscale and mesoscale delineation of the major river plumes. L8 30 m resolution also enabled the description of smaller plume structures. The different plumes' reflectance spectra were related to the lithological fingerprint of the sediments in the river catchments.Sharp fronts in T and SST delimited each single river plume. The isotherms and turbidity isolines' coupling varied among the plumes due to differences in particle loads and surface temperatures in the discharged waters. The surface expressions of all the river plumes occurring in NAS were classified based on the occurrence of the plume dynamical regions in the L8 30 m resolution imagery.

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“…However, preliminary searches on the Landsat-7 archive discovered frequent obscuration of data collected during daytime observing and a paucity of imagery available during appropriate near flood-tide conditions in the relatively short timespan focused upon by this study. Other studies have applied Landsat-7 TIR data successfully to regional oceanographic sea-surface temperature over longer timespans [12,13] or in relatively more arid environments than the coastal investigation herein [14,15]. Nonetheless, Landsat TIR data have a long history and near-global data availability, providing for possible historical change analysis or systematic coastal lagoon comparative research.…”

Section: Discussionmentioning

confidence: 99%

“…In thermal remote sensing, there have also been analyses specifically to develop thermal emissivity and temperature estimates for ASTER [9] and for monitoring volcanic lake craters [10]. Spatial dynamics of coastal waters and riverine discharges have been examined using satellite data [11], and time series Landsat thermal infrared (TIR) have also been used to assess coastal sea surface temperature variability and climatology [12,13] and effects of spatial resolution on detection of stream discharges [14]. However, published studies are lacking that investigate tidal zonation, flushing, repletion, or thermal IR dynamics of lagoons or inlets.…”

Section: Introductionmentioning

confidence: 99%

Estimating Coastal Lagoon Tidal Flooding and Repletion with Multidate ASTER Thermal Imagery

Allen

2012

Remote Sensing

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Coastal lagoons mix inflowing freshwater and tidal marine waters in complex spatial patterns. This project sought to detect and measure temperature and spatial variability of flood tides for a constricted coastal lagoon using multitemporal remote sensing. Advanced Spaceborne Thermal Emission Radiometer (ASTER) thermal infrared data provided estimates of surface temperature for delineation of repletion zones in portions of Chincoteague Bay, Virginia. ASTER high spatial resolution sea-surface temperature imagery in conjunction with in situ observations and tidal predictions helped determine the optimal seasonal data for analyses. The selected time series ASTER satellite data sets were analyzed at different tidal phases and seasons in [2004][2005][2006]. Skin surface temperatures of ocean and estuarine waters were differentiated by flood tidal penetration and ebb flows. Spatially variable tidal flood penetration was evaluated using discrete seed-pixel area analysis and time series Principal Components Analysis. Results from these techniques provide spatial extent and variability dynamics of tidal repletion, flushing, and mixing, important factors in eutrophication assessment, water quality and resource monitoring, and application of hydrodynamic modeling for coastal estuary science and management.

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High spatial resolution sea surface climatology from Landsat thermal infrared data

Cited by 54 publications

References 19 publications

High‐resolution aerial infrared mapping of groundwater discharge to the coastal ocean

High‐resolution aerial infrared mapping of groundwater discharge to the coastal ocean

High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event

Estimating Coastal Lagoon Tidal Flooding and Repletion with Multidate ASTER Thermal Imagery

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