Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters

Mishra, Sachidananda; Mishra, Deepak R.

doi:10.1016/j.rse.2011.10.016

Cited by 379 publications

(250 citation statements)

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“…In 2011, Bresciani [19], suggested to use a simple band ratio algorithm emphasizing the reflectance peak between 620nm and 560nm, obtaining good results in the retrieval of cyanobacteria blooms. Mishra and Mishra [23], in 2012, based on the Normalized Difference Vegetation Index (NDVI) proposed the Normalized Difference Chlorophyll Index (NDCI) to predict chl_a concentration from MERIS images in estuarine and coastal turbid productive waters, centred in the same two bands of 2BDA.…”

Section: Introductionmentioning

confidence: 99%

Red Algae Bloom Detection in Occhito Lake Combining MERIS and MODIS Data

Matarrese¹,

Guyennon²,

Copetti³

2017

Preprint

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Section: Introductionmentioning

confidence: 99%

Red Algae Bloom Detection in Occhito Lake Combining MERIS and MODIS Data

Matarrese¹,

Guyennon²,

Copetti³

2017

Preprint

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“…In addition, the effects from TSS and water are speculated to be similar in red and NIR wavelengths [21]. The most notable aspect of the MCI is the use of the 708 nm band which is centered over the Chl a fluorescence.…”

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confidence: 99%

“…Moses et al [24,25] (Referred to as Moses in this paper) proposed returning to a two band ratio between 665 and 708 nm, due to the high rates of variability in three spectral points models. Mishra and Mishra [21] built the two band Normalized Difference Chlorophyll Index (NDCI) in an effort to improve models proposed by Moses et al [25]. The NDCI uses 665 and 708 nm and operates similarly to the Normalized Difference Vegetative Index (NDVI) binding higher and lower index values between −1 and 1 and reducing seasonal variability and sun angle influences.…”

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confidence: 99%

“…A comparison of the NDCI effectiveness in Case 2 waters of the Chesapeake and Delaware Bays found NDCI was the most effective model, followed by Moses et al [25] and then by Dall'Olmo and Gitelson [23] (Table 1). In a further effort to test the effectiveness of these algorithms for estuarine algal bloom mapping, we chose Moses et al [25] and NDCI [21] to calibrate and validate Chl a in the Indian River Lagoon (IRL), FL a shallow estuary in which severe algal blooms have occurred in recent years Table 1. Comparison of MERIS Chl a estimation algorithms (Adapted from Mishra and Mishra [21]).…”

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confidence: 99%

“…In a further effort to test the effectiveness of these algorithms for estuarine algal bloom mapping, we chose Moses et al [25] and NDCI [21] to calibrate and validate Chl a in the Indian River Lagoon (IRL), FL a shallow estuary in which severe algal blooms have occurred in recent years Table 1. Comparison of MERIS Chl a estimation algorithms (Adapted from Mishra and Mishra [21]). Dall'Olmo and Gitelson [23] studied the Chesapeake Bay, USA; Moses et al [24] studied the Sea of Azov; Mishra [21] studied Chesapeake, Delaware, and Mobile Bays and the Mississippi Delta, USA.…”

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Monitoring of the 2011 Super Algal Bloom in Indian River Lagoon, FL, USA, Using MERIS

2015

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During the spring of 2011 an unprecedented "Super" algal bloom formed in the Indian River Lagoon (IRL), with Chlorophyll a (Chl a) concentrations over eight times the historical mean in some areas and lasted for seven months across the IRL. The European Space Agency's MEdium Resolution Imaging Spectrometer (MERIS) platform provided multispectral data at 665 and 708 nm, which was used to quantify the phytoplankton Chl a by fluorescence while minimizing the effects of other water column constituents. The three objectives were to: (1) calibrate and validate two Chl a algorithms using all available MERIS data of the IRL from 2002 to 2012; (2) determine the accuracy of the algorithms estimation of Chl a before, during, and after the 2011 super bloom; and (3) map the 2011 algal bloom using the Chl a algorithm that was proven to be effective in other similar estuaries. The chosen algorithm, Normalized Difference Chlorophyll Index (NDCI), was positively correlated with the in-situ measurements, with an R 2 value of 0.798. While there was a significant (62.9 ± 25%) underestimation of Chl a using MERIS NDCI, the underestimation appears to be consistent across the data and mostly in the estimations of lower concentrations, suggesting that a qualitative or ratio analysis is still valid. Analysis of the application of the NDCI processed MERIS data provided additional insights that the in-situ

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Life at the borderline: Responses of Ganges river dolphins to dry‐season flow regulation of river and canal habitats by the Farakka barrage

Samad

Kelkar

Krishnaswamy

2021

Aquatic Conservation

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Modification of river flows by dams and barrages has fragmented riverine habitats and threatened the survival of Indian subcontinental river dolphins. In this study, habitat use by endangered Ganges river dolphins in response to dry‐season operations (December‐March) of the Farakka barrage on the Ganga River, located about 20 km upstream of the India–Bangladesh border, was assessed. Ten surveys were conducted in: (i) the Ganga River below the barrage, where rapid changes in water levels were expected owing to barrage operations; (ii) the Farakka feeder canal with stable water levels; and (iii) the Hooghly River downstream of the canal. Dolphin distribution, water depth, fishing boat count and temperature were recorded in all surveys and the data were analysed in a dynamic occupancy modelling framework. Temporal trends in river discharge, primary productivity and fish availability were also estimated to explain river dolphin responses. Occupancy and colonization by dolphins increased in all stretches by spring/March, correlated with rising water temperature and increased fishing intensity, which was related to upstream migration of hilsa fish. In the Ganga River, dolphin occupancy in deep river pools remained stable, but resulted in increased overlap with fisheries as river flow declined. The feeder canal, with stable flows, witnessed increased colonization by dolphins, but also greater risk of bycatch in fishing nets. The canal that appeared as a hydrological refuge thus became an ‘ecological trap’. The findings highlight the need for integration of flow maintenance and fishery regulations in the monitoring and management of canals as effective refuges for riverine species. We advocate the inclusion of ecological flow criteria and fishery regulations to reduce dolphin bycatch mortality, in the context of establishing river dolphin conservation plans and transboundary water‐sharing guidelines. The revision of the India–Bangladesh water‐sharing treaty in 2026 could incorporate the above considerations.

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Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters

Cited by 379 publications

References 26 publications

Red Algae Bloom Detection in Occhito Lake Combining MERIS and MODIS Data

Red Algae Bloom Detection in Occhito Lake Combining MERIS and MODIS Data

Monitoring of the 2011 Super Algal Bloom in Indian River Lagoon, FL, USA, Using MERIS

Life at the borderline: Responses of Ganges river dolphins to dry‐season flow regulation of river and canal habitats by the Farakka barrage

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