The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation

Castillo-López, Elena; Domínguez, José Antonio; Pereda, Raúl; Luis, Julio Manuel de; Pérez, Rubén Darío Manturano; Piña, Felipe

doi:10.5194/amt-10-3919-2017

Cited by 11 publications

(8 citation statements)

References 31 publications

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“…This methodology has been applied in several research projects involving the measurement of optical properties in the field [3,10,[43][44][45][46]. The ratio between the water-leaving reflectance just above the surface, R(0 + ), and the water-leaving reflectance just below the surface, R(0 − ), corresponds to 0.544 [3,45,46].…”

Section: Methodology (A) Image Processingmentioning

confidence: 99%

“…Remote sensing has been considered a good tool to improve water quality control, because information can be retrieved nearly every day in real-time by different sensors and platforms [9][10][11]. From the point of view of water pollution monitoring as well as management of inland and coastal waters, this ability is very valuable due to Water Framework Directive (WFD) requirements.…”

Section: Introductionmentioning

confidence: 99%

“…Another possibility is to determine the types of inland and coastal waters in optical terms [17], in order to extract the spectral signatures defining the different ecological indicators such as bathymetry [10], macroalgae [18], and seagrass [16]. If the better spectral responses are known, our knowledge of water bodies' classification will be better [17,19].…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Erena¹,

Domínguez

Aguado‐Giménez³

et al. 2019

Water

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The Mar Menor is a hypersaline coastal lagoon located in the southeast of Spain. This fragile ecosystem is suffering several human pressures, such as nutrient and sediment inputs from agriculture and other activities and decreases in salinity. Therefore, the development of an operational system to monitor its evolution is crucial to know the cause-effect relationships and preserve the natural system. The evolution and variability of the turbidity and chlorophyll-a levels in the Mar Menor water body were studied here through the joint use of remote sensing techniques and in situ data. The research was undertaken using Operational Land Imager (OLI) images on Landsat 8 and two SPOT images, because cloudy weather prevented the use of OLI images alone. This provided the information needed to perform a time series analysis of the lagoon. We also analyzed the processes that occur in the salt lagoon, characterizing the different spatio-temporal patterns of biophysical parameters. Special attention was given to the role of turbidity and chlorophyll-a levels in the Mar Menor ecosystem with regard to the programs of integral management of this natural space that receives maximum environmental protection. The objective of the work has been fulfilled by answering the questions of the managers: when did the water quality in the Mar Menor begin to change? What is happening in the lagoon? Is remote sensing useful for monitoring the water quality in the Mar Menor? The answers to these questions have allowed the generation of a methodology and monitoring system to track the water quality in the Mar Menor in real-time and space. The tracking system using satellite images is open to the incorporation of images provided by new multispectral sensors.

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Section: Methodology (A) Image Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Erena¹,

Domínguez

Aguado‐Giménez³

et al. 2019

Water

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“…Table 8 presents the accumulated storage capacity loss estimated from the bathymetries of three reservoirs, performed in 1976. These technologies can be complemented by other emerging technologies, although they have lower altimetric precision, such as those based on high-resolution optical remote sensing satellite images and USV sounding data [31][32][33].…”

Section: Discussionmentioning

confidence: 99%

Use of Drones for the Topo-Bathymetric Monitoring of the Reservoirs of the Segura River Basin

Erena

Atenza

Galiano

et al. 2019

Water

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The Segura River Basin (SRB), located in the South East of Spain, has the lowest percentage of renewable water resources of all the Spanish basins. Therefore, knowledge of the annual rate of water reservoir sedimentation is an important issue to be resolved in one of the most water-stressed regions in the western Mediterranean basin. This paper describes the sensors developed in collaboration with technology-based enterprises (aerial drone, floating drone, and underwater drone), and the methodology for integration of the different types of data acquired to monitor the reservoirs of the SRB. The proposed solution was applied to 21 reservoirs of the SRB. The proposed methodology is based on the use of unmanned aerial vehicles (UAV) for photogrammetry of the reservoir surface area. For each reservoir, two flights were completed, with 20 cm and 5 cm resolution, respectively. Then, a triangular irregular network mesh was generated by GIS techniques. Surface water vehicles (USV) and underwater remote-operated vehicles (ROV) were used to undertake bathymetric surveys. In addition, water quality measurements were made with an ROV device. The main results consist of topographic and bathymetric measurements for each reservoir, obtained by using equipment based on OpenSource technology. According to the results, the annual rate of storage capacity loss of water resources in the SRB´s reservoirs is 0.33%.

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“…In the field of instrumentation and measurement (IAM), a number of studies have focused on either hyperspectral technology [ 30 , 31 ], HSI for atmospheric and oceanic measurements [ 32 ], or chemical detection [ 33 , 34 ]. However, to the authors’ knowledge, no studies within IAM have focused exclusively on HSI and polymer aging.…”

Section: Introductionmentioning

confidence: 99%

Visualizing Polymer Damage Using Hyperspectral Imaging

Bleszynski

Mann²,

Kumosa

2020

Polymers

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Silicone rubbers (SIRs) are common industrial materials which are often used for electrical insulation including weather sheds on non-ceramic insulators (NCIs). While SIRs are typically resilient to outside environments, aging can damage SIRs’ favorable properties such as hydrophobicity and electrical resistance. Detecting SIR aging and damage, however, can be difficult, especially in service. In this study we used hyperspectral imaging (HSI) and previously investigated aging methods as a proof of concept to show how HSI may be used to detect various types of aging damage in different SIR materials. The spectral signature changes in four different SIRs subjected to four different in-service aging environments all occurred between 400––650 nm. Therefore, remote sensing of NCIs using HSI could concentrate on bands below 700 nm to successfully detect in service SIR damage.

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The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation

Cited by 11 publications

References 31 publications

Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Monitoring Coastal Lagoon Water Quality through Remote Sensing: The Mar Menor as a Case Study

Use of Drones for the Topo-Bathymetric Monitoring of the Reservoirs of the Segura River Basin

Visualizing Polymer Damage Using Hyperspectral Imaging

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