Remote sensing of inland water quality: a hyperspectral perspective

Chander, Shard; Gujrati, Ashwin; Krishna, Aswathy Vijaya; Sahay, Arvind; Singh, Randhir

doi:10.1016/b978-0-08-102894-0.00017-6

Cited by 9 publications

(9 citation statements)

References 45 publications

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“…In particular, satellite and airborne hyperspectral data in the SWIR can be very useful to detect point sources of gases and to estimate emitted fluxes [14][15][16]. The information obtained by exploiting hyperspectral imagery is also crucial for several earth sciences applications, such as for vegetation and agriculture [17][18][19], geology and mining activities [20,21], water monitoring [22][23][24], and fire detection [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

et al. 2021

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The aim of this work is to develop and test a simple methodology for CO2 emission retrieval applied to hyperspectral PRISMA data. Model simulations are used to infer the best SWIR channels for CO2 retrieval purposes, the weight coefficients for a Continuum Interpolated Band Ratio (CIBR) index calculation, and the factor for converting the CIBR values to XCO2 (ppm) estimations above the background. This method has been applied to two test cases relating to the LUSI volcanic area (Indonesia) and the Solfatara area in the caldera of Campi Flegrei (Italy). The results show the capability of the method to detect and estimate CO2 emissions at a local spatial scale and the potential of PRISMA acquisitions for gas retrieval. The limits of the method are also evaluated and discussed, indicating a satisfactory application for medium/strong emissions and over soils with a reflectance greater than 0.1.

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Section: Introductionmentioning

confidence: 99%

A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

et al. 2021

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“…Continuous marine environment monitoring is thus essential to identify water quality issues such as red tides and hypoxia, as well as identifying harmful algae blooms and sediment plumes. In addition, reliable and continuous monitoring is helpful for researchers and decision-makers to characterize coastal basins temporally and spatially and identify the changes and trends of water properties [12].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Seasonal and Spatial Variations of Coastal Water Quality Using Multivariate Statistical Techniques

Alkhalidi

Alsulaili

Almarshed

et al. 2021

JMSE

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This study investigates the seasonal and spatial trends in Kuwait’s coastal water’s physical, chemical, and biological parameters by applying multivariate statistical techniques, including cluster analysis (CA), principal component/factor analysis (PCA/FA), and the Pearson correlation (PC) method to the average daily reading of water quality parameters from fifteen stations over one year. The investigated parameters are pH, turbidity, chlorophyll-a, conductivity, dissolved oxygen (DO), phycoerythrin, salinity, and temperature. The results show that the coastal water of Kuwait is subjected to high environmental pressure due to natural and human interferences. During 2017, the DO levels were below the threshold limit, and at the same time, the water temperature and salinity were very high, causing a series of fish death events. CA resulted in three different regions based on the turbidity, including high, moderate, and low regions, and three seasons (winter, summer, and autumn). Spring is very short and overlaps with winter and summer. PCA/FA applied on the datasets assisted in extracting and identifying parameters responsible for the variations in the seasons and regions obtained from CA. Additionally, Pearson’s correlation resulted in a strong positive relation between chlorophyll and phycoerythrin in 7 out of the 15 stations. However, at high turbidity regions (stations 1 and 2), chlorophyll concentration was low. Additionally, the negative correlation between DO and temperature was observed at stations with rare human activities.

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“…Up to date, Moderate resolution Imaging Spectrometer (MODIS), MERIS (Medium Resolution Imaging Spectrometer Instrument), HY-1 and GOCI (Geostationary Ocean Color Imager) are widely used to achieve long time series images with wide coverage and high frequency, which is of great significance for currents observation, primary productivity estimation, eutrophication assessment, land-sea interaction, carbon flux estimation, etc. [ 21 , 22 ]. Moreover, aerial remote sensing technology creates more flexibility in emergency monitoring [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…[ 21 , 22 ]. Moreover, aerial remote sensing technology creates more flexibility in emergency monitoring [ 22 ]. At present, the airborne imaging spectroscopy systems have been widely used in coastal monitoring, especially for oil spill, red tide and other purposes [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Eutrophication and DOC Sources Tracing in the Sea Area around Dajin Island Using CASI and MODIS Images Coupled with CDOM Optical Properties

Zhang

Xiong

et al. 2021

Sensors

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The sea area around Dajin Island in the Pearl River Estuary is the second-largest habitat in China for the Indo-Pacific humpback dolphin (Sousa Chinensis). However, the rapid economic development of this area brings potential threats to the aquatic ecology around Dajin Island. Real-time monitoring and evaluation of the ecological health of the sea area are urgent. In this study, band ratio and single-band inversion algorithms were performed to obtain Chlorophyll-a (Chl-a) and Suspended Sediment Concentration (SSC), relying on both Compact Airborne Spectrographic Imager (CASI) and Moderate resolution Imaging Spectrometer (MODIS) images. The CASI/Chl-a with high spatial resolution was adopted to assess the eutrophication status, while the dissolved organic carbon (DOC) concentration and chromophoric dissolved organic matter (CDOM) optical properties were used to derive the material composition and sources. The results suggest that the study area is under a low to medium eutrophication state with evenly distributed low Chl-a concentration. However, higher Chl-a is observed in the outer estuary with MODIS/Chl-a. The relatively high DOC concentration, especially in the north, where aquaculture is practiced, and near the estuary’s main axis, i.e., east Dajin Island, indicates that the eutrophication state might be underestimated using satellite chlorophyll alone. CDOM optical properties indicated that terrestrial materials are the DOC’s primary material sources, but the DOC derived from fishery aquaculture cannot be ignored. The low Chl-a concentration is likely due to the turbulent hydrodynamic regime caused by jet flow and reciprocating flow in this marine area. Comprehensive observation, including the assessment of different technological platforms, is suggested for the aquatic environment.

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Remote sensing of inland water quality: a hyperspectral perspective

Cited by 9 publications

References 45 publications

A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

Assessment of Seasonal and Spatial Variations of Coastal Water Quality Using Multivariate Statistical Techniques

Assessment of Eutrophication and DOC Sources Tracing in the Sea Area around Dajin Island Using CASI and MODIS Images Coupled with CDOM Optical Properties

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