Recognizing harmful algal bloom based on remote sensing reflectance band ratio

Optical remote sensing of lakes: an overview on Lake Maggiore

“…We expect that the advent of Ocean Land Colour Instrument onboard ESA Sentinel-3 and of satellite hyperspectral mission (DLR-EnMap, ASI-PRISMA) will stimulate further EO-based programs for inland waters monitoring. Moreover, EO data could contribute to applications related to aquaculture, eutrophication monitoring according to relevant water quality classes (Koponen et al, 2004) and for detecting starting/ending phase of cyanobacterial bloom (Hunter et al, 2009;Bresciani et al, 2011a;Hu et al, 2010), light penetration depth (e.g., for scuba diving) and to the develop products such as primary production (Bracher et al, 2009) and partial pressure of CO 2 (Sobek et al, 2003). The possibility to provide large scale and high frequency data makes remote sensing a technique suitable for tracking phenomena at a temporal scale suitable to the development of the event.…”

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

“…Later, in 2005, Dall'Olmo and Gitelson [22] applied this model (3BDA) and presented its special case (2BDA) for turbid productive waters, using only the first two bands of the 3BDA. 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.…”

“…Cyanobacteria are generally monitored via remote sensing using the biomarker pigment phycocyanin [16][17][18][19]. The latter is a secondary accessory pigment belonging to the family of the phycobiliprotein present in all the cyanobacteria species from which it is used to increase the light harvesting in the visible spectrum [11].…”

Multitemporal analysis of algal blooms with MERIS images in a deep meromictic lake

“…Only recently (2010)(2011)(2012) Lake Idro water quality was monitored on a monthly basis. In one occasion water sampling coincided with an algal bloom occurring over the whole lake surface [Bresciani et al, 2011a]. In order to obtain information about the past occurrence of such phenomena in Lake Idro, remote sensing techniques offer an interesting option; they have, in fact, the important advantage to make retrospective analyses possible when past images are available [e.g., Olmanson et al, 2008;Hadjimitsis et al, 2010;Hu et al, 2010;Lazzara et al, 2010].…”

“…Among water quality features of the euphotic zone, remote sensing techniques allow to characterize surface water temperatures, total suspended matter, yellow substances concentration, water transparency, chlorophyll-a and algal bloom events occurrence [e.g., Lindell et al, 1999;Kutser et al, 2005;Bresciani et al, 2009;Matarrese et al, 2011]. Bresciani et al [2011a] analyzed the algal bloom event occurred in Lake Idro between the end of the summer and the beginning of the autumn 2010, integrating radiometric and limnological in situ measures with the goal of obtaining useful information about the features of the different algal groups forming the bloom (Cyanobacteria: Microcystis spp., Planktothrix spp., Pseudanabena cf. limnetica, Aphanocapsa sp., Aphanizomenon cf.…”