MODIS-Based Radiometric Color Extraction and Classification of Inland Water With the Forel-Ule Scale: A Case Study of Lake Taihu

Wang, Shenglei; Li, Junsheng; Shen, Qian; Zhang, Fangfang; Zhang, Fang-Fang; Lu, Zhaoyi

doi:10.1109/jstars.2014.2360564

Cited by 63 publications

(54 citation statements)

References 30 publications

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“…Many arguments and calculations presented in Wang et al [18] are very similar to the algorithms presented here. There are some differences that should be pointed out: first of all, the hue angle in this paper referenced the y = 1/3 line in the xy-chromaticity diagram, while Wang et al (2015) take the x = 1/3 axis as zero (α = 0 • ). Second, they refer to the dominant wavelength (see their Figure 4 or any reference book).…”

Section: Discussionsupporting

confidence: 68%

“…Wang et al [18] made the innovative move to use the 500-m resolution product from MODIS (MOD09 and MYD09 formats) that is derived from three broad bands in the visual (No. 3, 4, and 1).…”

Section: Discussionmentioning

confidence: 99%

“…The hue angle (α) lies between the vector to a point with coordinates (x − x w , y − y w ) and the positive x-axis (at y − y w = 0), giving higher angles in an anti-clockwise direction (see Figure 2 in Van der Woerd and Wernand [1]). Note that the definition of (α) is different in Wang et al [18].…”

Section: Satellite Colourimetrymentioning

confidence: 99%

“…Similar functions were used for Landsat-8 [32] and Landsat-7 ETM+ [32]. The MODIS 500-m product uses only three wide spectral bands [33], which are different from the standard MODIS band setting that is used for ocean-colour imaging, but prove to be useful for analysing smaller waters (Wang et al, 2015). The CZCS is the predecessor of the present ocean-colour instruments, and has a limited set of four narrow spectral bands, plus a broad band in the Near-Infrared (NIR) [34].…”

Section: Satellite Simulated Spectramentioning

confidence: 99%

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

Woerd

Wernand

2018

Remote Sensing

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Abstract: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.

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Section: Discussionsupporting

confidence: 68%

“…Wang et al [18] made the innovative move to use the 500-m resolution product from MODIS (MOD09 and MYD09 formats) that is derived from three broad bands in the visual (No. 3, 4, and 1).…”

Section: Discussionmentioning

confidence: 99%

Section: Satellite Colourimetrymentioning

confidence: 99%

Section: Satellite Simulated Spectramentioning

confidence: 99%

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

Woerd

Wernand

2018

Remote Sensing

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“…The atmospheric correction method used to generate such products used the blue and red bands to estimate aerosol contributions after assuming certain relationship between surface reflectance in these bands, and then interpolated to other bands (Kaufman et al, ). Although named as “land surface reflectance,” the data products (denoted as “R_Land” in this study) do have global coverage including estuarine and inland waters; therefore have been used to study water quality in estuaries and inland waters (Chen et al, ; Constantin et al, ; Doxaran et al, ; Hou et al, ; Olmanson et al, ; Park & Latrubesse, ; Pavelsky & Smith, ; Petus et al, ; Song et al, ; Tarrant et al, ; Wang et al, ; Wu et al, ). Indeed, although designed for land studies, compared with the MODIS ocean bands, MODIS land bands have higher spatial resolutions (250–500 m) and larger dynamic ranges (Hu et al, ), making them particularly useful for relatively small water bodies (Binding et al, ; Chen et al, ; Feng et al, ; Hu et al, ; Kahru et al, ; Kutser et al, ; Lahet & Stramski, ; Markham et al, ; Saldías et al, ).…”

Section: Introductionmentioning

confidence: 99%

Can MODIS Land Reflectance Products be Used for Estuarine and Inland Waters?

Feng

2018

Water Resources Research

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Although designed for land surfaces, MODIS Aqua surface reflectance data products (MYD09, termed as R_Land in this work) have also been used for water applications. Yet to date their uncertainties and general suitability in such applications have rarely been documented. In this study, R_Land products of two regions (Chesapeake Bay and Taihu Lake) between July 2002 and December 2015 are evaluated against in situ measurements and against reflectance products derived by the MODIS Ocean Team using atmospheric correction schemes specifically designed for water applications, namely the default atmospheric correction method based on the near-infrared (NIR) bands (denoted as R_NIR, data products available from NASA) and alternative atmospheric correction method based on the shortwave-infrared (SWIR) bands (denoted as R_SWIR, data products not available from NASA but require customized processing by the user), respectively. Results suggest high accuracy in R_Land(645) and R_Land(645/555) for both Chesapeake Bay and Taihu Lake in terms of daily spatial distributions, seasonality, and long-term trends. A sensitivity test also shows improved data quality in R_Land(645/555) when data are binned by 7 3 7 pixels in space and 32 days in time. Improved data quality can also be obtained for R_Land(645) when data are only binned in time to minimize the patchiness noise in R_Land daily images. Given the fact that most users do not have the capacity to process low-level data to obtain R_SWIR and the standard NASA R_NIR products often lack coverage over inland waters because they are optimized for global oceans instead of inland waters, this study provides a general guide on the applicability of the widely available R_Land products in inland and estuarine water applications in the absence of customized R_NIR or R_SWIR data products for local regions.Key Points: MYD09 (R_Land) products were evaluated using in situ data and reflectance derived using ocean color based NIR and SWIR atmospheric corrections R_Land(645) and R_Land(645/555) demonstrated high accuracy in terms of daily spatial distributions, seasonality, and long-term trends

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Functional Delta Connectivity and Impacts on Lake Ice in the Colville Delta, Alaska

Dolan

Pavelsky

Yang

2021

Preprint

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MODIS-Based Radiometric Color Extraction and Classification of Inland Water With the Forel-Ule Scale: A Case Study of Lake Taihu

Cited by 63 publications

References 30 publications

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

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

Can MODIS Land Reflectance Products be Used for Estuarine and Inland Waters?

Functional Delta Connectivity and Impacts on Lake Ice in the Colville Delta, Alaska

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