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wmo-im · Jun 16, 2023 · 8ae2db5 · 8ae2db5
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diff --git a/wmdr/ObservingMethodTerrestrial/380.ttl b/wmdr/ObservingMethodTerrestrial/380.ttl
@@ -5,4 +5,4 @@
 <380> a skos:Concept ;
 	rdfs:label "radar velocimetry" ;
 	skos:notation "380" ;
-	dct:description "Radar velocimetry or surface velocity radar (radar sensor) is an active remote sensing method, which measures the surface velocity of moving water.  The radar sensor transmits microwave energy of a known frequency at an incidence angle (from nadir) to the water surface, where small-scale surface features such as waves shift the frequency of the microwave energy that is returned to the sensor. The frequency shift is used to compute the surface velocity of the water using the Doppler effect. Note: because radar sensors measure the velocity at the water surface a transfer function, such as the probability concept, is needed to translate the surface velocity to a mean channel velocity [Based on Chiu, Entropy and probability concepts in hydraulics: J. Hydraul. Eng. 113, 1987; Fulton et al, Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 U.S. Geological Survey Streamgages, Remote Sens. 12, 2020; Fulton e al, Measuring Real-Time Streamflow Using Emerging Technologies: Radar, Hydroacoustics, and the Probability Concept, Journal of Hydrology 357, 2008 and Khan et al, Uncertainty in remote sensing of streams using noncontact radars, Journal of Hydrology 603, 2021]."@en	.
+	dct:description "Radar velocimetry or surface velocity radar (radar sensor) is an active remote sensing method which measures the surface velocity of moving water.  The radar sensor transmits microwave energy of a known frequency at an incidence angle (from nadir) to the water surface, where small-scale surface features such as waves shift the frequency of the microwave energy that is returned to the sensor. The frequency shift is used to compute the surface velocity of the water using the Doppler effect. Note: Because radar sensors measure the velocity at the water surface a transfer function, such as the probability concept, is needed to translate the surface velocity to a mean channel velocity [Based on Chiu, Entropy and probability concepts in hydraulics: J. Hydraul. Eng. 113, 1987; Fulton et al, Near-field remote sensing of surface velocity and river discharge using radars and the probability concept at 10 U.S. Geological Survey Streamgages, Remote Sens. 12, 2020; Fulton e al, Measuring Real-Time Streamflow Using Emerging Technologies: Radar, Hydroacoustics, and the Probability Concept, Journal of Hydrology 357, 2008 and Khan et al, Uncertainty in remote sensing of streams using noncontact radars, Journal of Hydrology 603, 2021]."@en	.
diff --git a/wmdr/ObservingMethodTerrestrial/381.ttl b/wmdr/ObservingMethodTerrestrial/381.ttl
@@ -5,4 +5,4 @@
 <381> a skos:Concept ;
 	rdfs:label "image velocimetry" ;
 	skos:notation "381" ;
-	dct:description "The measurement of velocities at the free surface of a moving water body using PIV (Particle Image Velocimetry) or LSPIV (Large Scale Particle Image Velocimetry) operates on the principle of statistical estimation of the displacement of groups of particles in consecutive images. The estimation is most-often made using cross-correlations applied to the spatial distribution of the light intensity defining the patterns (i.e., the pattern image) enclosed in small interrogation areas covering the whole image. The results of image processing is a velocity vector field centered on the interrogation area grid determined by dividing the estimated displacement with the time between images in the pair. Note: given that LSPIV images cover large areas usually recorded from an oblique angle to the flow surface, an additional step is customarily involved, i.e. image orthorectification [Based on Aberle et al., Experimental Hydraulics: Instrumentation and Measurement Techniques, 2017 and Muste et al., Large-Scale Particle Image Velocimetry for Measurements in Riverine Environments, Special Issue on Hydrologic Measurements, Water Resources Research 44,  2008]."@en	.
+	dct:description "The measurement of velocities at the free surface of a moving water body using PIV (Particle Image Velocimetry) or LSPIV (Large Scale Particle Image Velocimetry) operates on the principle of statistical estimation of the displacement of groups of particles in consecutive images. The estimation is most-often made using cross-correlations applied to the spatial distribution of the light intensity defining the patterns (i.e., the pattern image) enclosed in small interrogation areas covering the whole image. The results of image processing is a velocity vector field centered on the interrogation area grid determined by dividing the estimated displacement with the time between images in the pair. Note: Given that LSPIV images cover large areas usually recorded from an oblique angle to the flow surface, an additional step is customarily involved, i.e. image orthorectification [Based on Aberle et al., Experimental Hydraulics: Instrumentation and Measurement Techniques, 2017 and Muste et al., Large-Scale Particle Image Velocimetry for Measurements in Riverine Environments, Special Issue on Hydrologic Measurements, Water Resources Research 44,  2008]."@en	.