Next Article in Journal
Retrieval of Water Constituents from Hyperspectral In-Situ Measurements under Variable Cloud Cover—A Case Study at Lake Stechlin (Germany)
Next Article in Special Issue
Chlorophyll-a Concentration Retrieval in the Optically Complex Waters of the St. Lawrence Estuary and Gulf Using Principal Component Analysis
Previous Article in Journal
Estimation of Leaf Area Index in a Mountain Forest of Central Japan with a 30-m Spatial Resolution Based on Landsat Operational Land Imager Imagery: An Application of a Simple Model for Seasonal Monitoring
Previous Article in Special Issue
High-Chlorophyll-Area Assessment Based on Remote Sensing Observations: The Case Study of Cape Trafalgar
Open AccessArticle

Hue-Angle Product for Low to Medium Spatial Resolution Optical Satellite Sensors

Institute for Environmental Studies (IVM), Water & Climate Risk, VU University Amsterdam, De Boelelaan 1087, Amsterdam 1081HV, The Netherlands
Royal Netherlands Institute for Sea Research, Coastal Systems, Marine Optics & Remote Sensing, P.O. Box 59, Den Burg 1790AB, Texel, The Netherlands
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 180;
Received: 15 November 2017 / Revised: 24 January 2018 / Accepted: 24 January 2018 / Published: 26 January 2018
(This article belongs to the Special Issue Remote Sensing of Ocean Colour)
In the European Citclops project, with a prime aim of developing new tools to involve citizens in the water quality monitoring of natural waters, colour was identified as a simple property that can be measured via a smartphone app and by dedicated low-cost instruments. In a recent paper, we demonstrated that colour, as expressed mainly by the hue angle (α), can also be derived accurately and consistently from the ocean colour satellite instruments that have observed the Earth since 1997. These instruments provide superior temporal coverage of natural waters, albeit at a reduced spatial resolution of 300 m at best. In this paper, the list of algorithms is extended to the very first ocean colour instrument, and the Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m resolution product. In addition, we explore the potential of the hue angle derivation from multispectral imaging instruments with a higher spatial resolution but reduced spectral resolution: the European Space Agency (ESA) multispectral imager (MSI) on Sentinel-2 A,B, the Operational Land Imager (OLI) on the National Aeronautics and Space Administration (NASA) Landsat-8, and its precursor, the Enhanced Thematic Mapper Plus (ETM+) on Landsat-7. These medium-resolution imagers might play a role in an upscaling from point measurements to the typical 1-km pixel size from ocean colour instruments. As the parameter α (the colour hue angle) is fairly new to the community of water remote sensing scientists, we present examples of how colour can help in the image analysis in terms of water-quality products. View Full-Text
Keywords: hue; colour; CZCS; Landsat-7 and Landsat-8; MERIS; MODIS; MSI; OLCI; SeaWiFS hue; colour; CZCS; Landsat-7 and Landsat-8; MERIS; MODIS; MSI; OLCI; SeaWiFS
Show Figures

Graphical abstract

MDPI and ACS Style

Van der Woerd, H.J.; Wernand, M.R. Hue-Angle Product for Low to Medium Spatial Resolution Optical Satellite Sensors. Remote Sens. 2018, 10, 180.

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

Back to TopTop