Next Article in Journal
Phenological Dynamics Characterization of Alignment Trees with Sentinel-2 Imagery: A Vegetation Indices Time Series Reconstruction Methodology Adapted to Urban Areas
Previous Article in Journal
Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations
Previous Article in Special Issue
Assessing the Performance of Methods for Monitoring Ice Phenology of the World’s Largest High Arctic Lake Using High-Density Time Series Analysis of Sentinel-1 Data
Open AccessArticle

Extending Landsat 8: Retrieval of an Orange contra-Band for Inland Water Quality Applications

1
Protistology and Aquatic Ecology, Gent University, Krijgslaan 281, 9000 Gent, Belgium
2
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK
3
Department of Marine Science, University of Connecticut, Groton, CT 06340, USA
4
Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environments, Vautierstraat 29, 1000 Brussels, Belgium
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(4), 637; https://doi.org/10.3390/rs12040637 (registering DOI)
Received: 17 January 2020 / Revised: 11 February 2020 / Accepted: 12 February 2020 / Published: 14 February 2020
(This article belongs to the Special Issue Lake Remote Sensing)
The Operational Land Imager (OLI) onboard Landsat 8 has found successful application in inland and coastal water remote sensing. Its radiometric specification and high spatial resolution allows quantification of water-leaving radiance while resolving small water bodies. However, its limited multispectral band set restricts the range of water quality parameters that can be retrieved. Identification of cyanobacteria biomass has been demonstrated for sensors with a band centered near 620 nm, the absorption peak of the diagnostic pigment phycocyanin. While OLI lacks such a band in the orange region, superposition of the available multispectral and panchromatic bands suggests that it can be calculated by a scaled difference. A set of 428 in situ spectra acquired in diverse lakes in Belgium and The Netherlands was used to develop and test an orange contra-band retrieval algorithm, achieving a mean absolute percentage error of 5.39 % and a bias of −0.88 % in the presence of sensor noise. Atmospheric compensation error propagated to the orange contra-band was observed to maintain about the same magnitude (13 % higher) observed for the red band and thus results in minimal additional effects for possible base line subtraction or band ratio algorithms for phycocyanin estimation. Generality of the algorithm for different reflectance shapes was tested against a set of published average coastal and inland Optical Water Types, showing robust retrieval for all but relatively clear water types (Secchi disk depth > 6 m and chlorophyll a < 1 . 6 mg m - 3 ). The algorithm was further validated with 79 matchups against the Ocean and Land Colour Imager (OLCI) orange band for 10 globally distributed lakes. The retrieved band is shown to convey information independent from the adjacent bands under variable phycocyanin concentrations. An example application using Landsat 8 imagery is provided for a known cyanobacterial bloom in Lake Erie, US. The method is distributed in the ACOLITE atmospheric correction code. The contra-band approach is generic and can be applied to other sensors with overlapping bands. Recommendations are also provided for development of future sensors with broad spectral bands with the objective to maximize the accuracy of possible spectral enhancements.
Keywords: Landsat 8; Operational Land Imager; contra-band; phycocyanin; cyanobacteria; inland water quality Landsat 8; Operational Land Imager; contra-band; phycocyanin; cyanobacteria; inland water quality
Show Figures

Graphical abstract

MDPI and ACS Style

Castagna, A.; Simis, S.; Dierssen, H.; Vanhellemont, Q.; Sabbe, K.; Vyverman, W. Extending Landsat 8: Retrieval of an Orange contra-Band for Inland Water Quality Applications. Remote Sens. 2020, 12, 637.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop