Defining the Landsat TM/ETM+ and CHRIS/PROBA spectral regions in which turbidity can be retrieved in inland waterbodies using field spectroscopy

Papoutsa, Christiana; Retalis, Adrianos; Toulios, Leonidas; Hadjimitsis, Diofantos G.

doi:10.1080/01431161.2014.882029

Cited by 40 publications

(16 citation statements)

References 34 publications

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“…We did a comprehensive analysis of the correlation between the ASD reflectance at the eight GOCI spectral bands and TSS concentration for each class based on the correlation analysis method in a recent study (Papoutsa et al 2014). The results ( Figure 5) show that the correlation coefficients for both Band 7 or Band 8 for the three classes were higher than for the other bands.…”

Section: Retrieval Algorithm Of Tssmentioning

confidence: 93%

Developing a two-step retrieval method for estimating total suspended solid concentration in Chinese turbid inland lakes using Geostationary Ocean Colour Imager (GOCI) imagery

Lyu

Zhang

Zha

et al. 2015

International Journal of Remote Sensing

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Total suspended solid (TSS) concentration is an important water quality parameter. Mapping its varying distribution using satellite images with high temporal resolution is valuable for studying suspended sediment transportation and diffusion patterns in inland lakes. A total of 255 sites were used to make remote-sensing reflectance measurements and surface water sampling at four Chinese inland lakes, i.e. Taihu Lake, Chaohu Lake, Dianchi Lake, and the Three Gorges Reservoir, at different seasons. A two-step retrieval method was then developed to estimate TSS concentration for contrasting Chinese inland lakes, which is described in this article. In the first step, a cluster method was applied for water classification using eight Geostationary Ocean Colour Imager (GOCI) channel reflectance spectra simulated by spectral reflectance measured by an Analytical Spectral Devices (ASD) Inc. spectrometer. This led to the classification of the water into three classes (1, 2, and 3), each with distinct optical characteristics. Based on the water quality, spectral absorption, and reflectance, the optical features in Class 1 were dominated by TSS, while Class 3 was dominated by chl-a and the optical characteristics of Class 2 were dominated jointly by TSS and chl-a. In the second step, class-specific TSS concentration retrieval algorithms were built. We found that the band ratio Band 8/Band 4 was suitable for Class 1, while the band ratio of Band 7/Band 4 was suitable for both Class 2 and Class 3. A comprehensive determination value, combining the spectral angle mapper and Euclidean distance, was adopted to identify the classes of image pixels when the method was applied to a GOCI image. Then, based on the pixel's class, the class-specific retrieval algorithm was selected for each pixel. The accuracy analysis showed that the performance of this two-step method was improved significantly compared to the unclassed method: the mean absolute percentage error decreased from 38.9% to 24.3% and the root mean square error decreased from 22.1 to 16.5 mg l -1 . Finally, the GOCI image acquired on 13 May 2013 was used as a demonstration to map the TSS concentration in Taihu Lake with a reasonably good accuracy and highly resolved spatial structure pattern.

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Section: Retrieval Algorithm Of Tssmentioning

confidence: 93%

Developing a two-step retrieval method for estimating total suspended solid concentration in Chinese turbid inland lakes using Geostationary Ocean Colour Imager (GOCI) imagery

Lyu

Zhang

Zha

et al. 2015

International Journal of Remote Sensing

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“…Agapiou et al 2014;Alexakis et al 2012;Papadavid et al 2013;Papoutsa et al 2013Papoutsa et al , 2014Themistocleous et al 2012). Field spectroradiometers were assessed as suitable tools to determine the spectral regions in which a parameter can be best retrieved, but this was not used extensively for the detection of defects on asphalted roads.…”

Section: Remote Sensing and Asphalt Pavement Assessmentmentioning

confidence: 99%

Risk provision using field spectroscopy to identify spectral regions for the detection of defects in flexible pavements

et al. 2016

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Natural and physical hazards accelerate the deterioration of asphalted surfaces. Climatic factors are unavoidable and can affect the properties of asphalt mixtures, making them weaker and less durable. Thus, continuous monitoring of bituminous surfaces is something that can reduce the risks of public health. Remote sensing techniques have become an effective, noninvasive method for early detection of damaged asphalt pavements. This paper outlines a range of different remote sensing methodologies that can be used to monitor asphalt road pavements. This is complemented by the use of field spectroscopy for the examination of asphalt pavements of varying age and conditions. The results of the study found spectral differences regarding asphalt defects, such as physical cracking, patched cracking and polishing. These spectral changes were examined through ''in-band'' simulation analysis of the Landsat 7 ETM? sensor, using appropriate relative spectral response filters, concluding that the ratio band 5/band 1 can be used to distinguish asphalt pavements of different date of construction and condition.

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“…Moreover, characteristics spectral signatures of coastal areas with various clarity values are also presented. Finally, four study areas were selected in order to create the turbidity (measured in Nephelometric units -NTU) and the trophic state index (based on Secchi disk depth values -TSI SD ) risk assessment maps by applying algorithms developed by previous works by [12,13] using in situ spectroradiometric-and water quality-data collected simultaneously both in Cyprus and Greece including both inland and coastal water bodies and processed to retrieve the empirical algorithms. For the aim of this study one inland and three coastal water bodies along the coastline of Limassol and Paphos District.…”

Section: Study Areas: the Case Of Cyprusmentioning

confidence: 99%

“…Landsat was selected for the aims of this study since it provides a high spatial resolution which is suitable to assess both coastal and inland water bodies in Cyprus. Landsat TM and ETM+ satellite images were used to create risk assessment maps regarding four coastal and inland areas in Cyprus using empirical algorithms for the estimation of both turbidity and trophic state index established in previous studies by [12,13].…”

Section: Introductionmentioning

confidence: 99%

Monitoring water quality parameters for Case II waters in Cyprus using satellite data

et al. 2014

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Remote sensing technology has been widely used for monitoring water quality parameters such as suspended solids (turbidity), Secchi Disk, chlorophyll, and phosphorus. Suspended matter plays an important role in water quality management of several inland-(such as lakes and reservoirs) and coastal-water bodies and can be used to estimate the Trophic State Index of different water bodies. However synoptic information on water quality parameters at a systematic basis is difficult to be obtained from routine in situ monitoring programs since suspended matter, phosphorus, and chlorophyll are spatially inhomogeneous parameters. To meet this need, an integrated use of Landsat satellite images, in situ data and water quality models can be used. Several algorithms were developed at a previous stage using water quality data collected during the in situ sampling campaigns taken place in 2010 and 2011 over Asprokremmos Reservoir (Paphos District) for the assessment of turbidity, Secchi Disk, and Trophic State Index fluctuations using spectroradiometric data. Remotely sensed data were atmospherically corrected and water quality models for the estimation of both the turbidity-and Secchi Disk-concentrations were further calibrated using in situ data for the case of Asprokremmos Reservoir and several coastal over Cyprus coastline (Limassol and Paphos District Areas). This methodology can be used as a supporting monitoring tool for water management authorities "gaining" additional information regarding the spatial and temporal alterations of the turbidity-and Secchi Disk-concentrations and the Trophic State Index values over several Case II water bodies.

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Defining the Landsat TM/ETM+ and CHRIS/PROBA spectral regions in which turbidity can be retrieved in inland waterbodies using field spectroscopy

Cited by 40 publications

References 34 publications

Developing a two-step retrieval method for estimating total suspended solid concentration in Chinese turbid inland lakes using Geostationary Ocean Colour Imager (GOCI) imagery

Developing a two-step retrieval method for estimating total suspended solid concentration in Chinese turbid inland lakes using Geostationary Ocean Colour Imager (GOCI) imagery

Risk provision using field spectroscopy to identify spectral regions for the detection of defects in flexible pavements

Monitoring water quality parameters for Case II waters in Cyprus using satellite data

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