Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay, FL

Hu, Chuanmin; Chen, Zhiqiang; Clayton, Tonya D.; Swarzenski, Peter W.; Brock, John C.; Muller‐Karger, Frank E.

doi:10.1016/j.rse.2004.08.007

Cited by 379 publications

(222 citation statements)

References 49 publications

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“…Indeed, because of their repeated global coverage, the MODIS medium-resolution bands showed great value in studying small-scale features such as oil spills [Hu et al, 2003], algal blooms [Kahru et al, 2004], and estuarine and inland water quality [Hu et al, 2004;Miller and McKee, 2004;Wang and Shi, 2008]. The medium-resolution bands' full potential in monitoring our coastal and open-ocean environments, however, is yet to be realized.…”

Section: Historical and Environmental Perspectivesmentioning

confidence: 99%

Origin and Offshore Extent of Floating Algae in Olympic Sailing Area

2008

EoS Transactions

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129

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Extensive patches of floating algae have appeared since mid‐June in coastal waters off Qingdao, China, where the Olympic sailing competitions will be held on 9–23 August. By 27 June, field surveys showed that the patches occupied about 30%, or 15 square kilometers, of the 50‐square‐kilometer region designated for the competitions, posing potential problems for them, according to reports in local news media. The floating algae, whose spatial extent is the largest ever reported in the literature for the world's oceans (as revealed by satellite estimates indicated below), have attracted wide national and international attention since late June.

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Section: Historical and Environmental Perspectivesmentioning

confidence: 99%

Origin and Offshore Extent of Floating Algae in Olympic Sailing Area

2008

EoS Transactions

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129

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“…Based on the current state of satellite sensors, monitoring inland water quality using sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites, the Geostationary Ocean Color Imager (GOCI) aboard the Communication, Ocean and Meteorological Satellite and the Medium Resolution Imaging Spectrometer (MERIS) aboard the Envisat satellite, which have spatial resolutions of 500 m or better, high frequencies and high spectral resolutions, has become popular since 2000 [30][31][32]. Among these, MERIS, which operated from 2002-2012, used a 600-900 nm band to effectively monitor the quality of optically-complex inland water.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Unified Algorithms for Remote Sensing of Chlorophyll-a and Turbidity in Lake Shinji and Lake Nakaumi of Japan and the Vaal Dam Reservoir of South Africa under Eutrophic and Ultra-Turbid Conditions

Sakuno

Yajima

Yoshioka

et al. 2018

Water

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Abstract:We evaluated unified algorithms for remote sensing of chlorophyll-a (Chla) and turbidity in eutrophic and ultra-turbid waters such as Japan's Lake Shinji and Lake Nakaumi (SJNU) and the Vaal Dam Reservoir (VDR) in South Africa. To realize this objective, we used 38 remote sensing reflectance (R rs ), Chla and turbidity datasets collected in these waters between July 2016 and March 2017. As a result, we clarified the following items. As a unified Chla model, we obtained strong correlation (R 2 = 0.7, RMSE = 2 mg m −3 ) using a two-band model (2-BM) and three-band model (3-BM), with R rs (687)/R rs (672) and [R rs −1 (687) − R rs −1 (672)] × R rs (832). As a unified turbidity model, we obtained strong correlation (R 2 = 0.7, RMSE = 260 NTU) using 2-BM and 3-BM, with R rs (763)/R rs (821) and R rs (810) − [R rs (730) + R rs (770)]/2. When targeting the Sentinel-2 Multispectral Imager (MSI) frequency band, we focused on MSI Bands 4 and 5 (R rs (740) and R rs (775)) for the Chla algorithm. When optically separating SJNU and VDR data, it is effective to use the slopes of MSI Bands 3 and 4 (R rs (560) and R rs (665)) and the slopes of MSI Bands 7 and 9 (R rs (775) and R rs (865)).

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“…For example, Miller and McKee [16] demonstrated that TSM concentration could be mapped successfully for a variety of coastal waters using MODIS 250 m band 1 data using a simple atmospheric correction model. Numerous other investigators (e.g., [17][18][19][20][21]) provide additional evidence that MODIS 250 m data can be used to examine water quality parameters related to TSM concentration using various atmospheric correction methods, image processing techniques and collection of field data.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Sensor Approach to Examining the Distribution of Total Suspended Matter (TSM) in the Albemarle-Pamlico Estuarine System, NC, USA

et al. 2011

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For many coastal waters, total suspended matter (TSM) plays a major role in key biological, chemical and geological processes. Effective mapping and monitoring technologies for TSM are therefore needed to support research investigations and environmental assessment and management efforts. Although several investigators have demonstrated that TSM or suspended sediments can be successfully mapped using MODIS 250 m data for relatively large water bodies, MODIS 250 m data is of more limited use for smaller estuaries and bays or aquatic systems with complex shoreline geometry. To adequately examine TSM in the Albemarle-Pamlico Estuarine System (APES) of North Carolina, the large-scale synoptic view of MODIS and the higher spatial resolution of other sensors are required. MODIS, Landsat 7 ETM+ and FORMOSAT-2 remote sensing instrument (RSI) data were collected on 8 November, 24 November and 10 December, 2010. Using TSM images (mg/L) derived from MODIS 250 m band 1 (620-670 nm) data, Landsat 7 ETM+ 30 m band 3 (630-690 nm) and FORMOSAT-2 RSI 8 m band 3 (630−690 nm) atmospherically corrected images were calibrated to TSM for select areas of the APES. There was a significant linear relationship between both Landsat 7 ETM+ (r 2 = 0.87, n = 599, P < 0.001) and FORMOSAT-2 RSI (r 2 = 0.95, n = 583, P < 0.001) OPEN ACCESSRemote Sens. 2011, 3 963 reflectance images and MODIS-derived TSM concentrations, thus providing consistent estimates of TSM at 250, 30 and 8 m pixel resolutions. This multi-sensor approach will support a broad range of investigations on the water quality of the APES and help guide sampling schemes of future field campaigns.

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Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay, FL

Cited by 379 publications

References 49 publications

Origin and Offshore Extent of Floating Algae in Olympic Sailing Area

Origin and Offshore Extent of Floating Algae in Olympic Sailing Area

Evaluation of Unified Algorithms for Remote Sensing of Chlorophyll-a and Turbidity in Lake Shinji and Lake Nakaumi of Japan and the Vaal Dam Reservoir of South Africa under Eutrophic and Ultra-Turbid Conditions

A Multi-Sensor Approach to Examining the Distribution of Total Suspended Matter (TSM) in the Albemarle-Pamlico Estuarine System, NC, USA

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