Rain detection from X-band marine radar images: A support vector machine-based approach
Since rain alters the histogram pattern of radar images, rain-contaminated radar data can be
identified. In this article, a support vector machine (SVM)-based method for rain detection …
identified. In this article, a support vector machine (SVM)-based method for rain detection …
Impact of rain on spaceborne Ku-band wind scatterometer data
The accuracy of Ku-band ocean wind scatterometers (ie, NSCAT and SeaWinds) is
impacted to varying degrees by rain. In order to determine how to best flag rain …
impacted to varying degrees by rain. In order to determine how to best flag rain …
[HTML][HTML] Ground-penetrating radar full-wave inversion for soil moisture mapping in Trench-Hill potato fields for precise irrigation
K Wu, H Desesquelles, R Cockenpot, L Guyard… - Remote Sensing, 2022 - mdpi.com
In this paper, we analysed the effect of trench-hill soil surface on ground-penetrating radar
(GPR) full-wave inversion for soil moisture measurement. We conducted numerical …
(GPR) full-wave inversion for soil moisture measurement. We conducted numerical …
[HTML][HTML] Effects of rain rate and wind magnitude on SeaWinds scatterometer wind speed errors
DE Weissman, MA Bourassa… - Journal of Atmospheric …, 2002 - journals.ametsoc.org
Rain within the footprint of the SeaWinds scatterometer on the QuikSCAT satellite causes
more significant errors than existed with its predecessor, the NASA scatterometer (NSCAT) …
more significant errors than existed with its predecessor, the NASA scatterometer (NSCAT) …
Evaluating the effect of rain on SeaWinds scatterometer measurements
DW Draper, DG Long - Journal of Geophysical Research …, 2004 - Wiley Online Library
A simple wind/rain backscatter model is used with co‐located precipitation radar (PR) data
from the Tropical Rainfall Measuring Mission (TRMM) satellite to evaluate the effect of rain …
from the Tropical Rainfall Measuring Mission (TRMM) satellite to evaluate the effect of rain …
[HTML][HTML] Characterization of rain impact on L-band GNSS-R ocean surface measurements
R Balasubramaniam, C Ruf - Remote sensing of environment, 2020 - Elsevier
Earth remote sensing using reflected GNSS signals is currently an emerging trend
especially in ocean surface wind measurements. Unlike the existing scatterometer missions …
especially in ocean surface wind measurements. Unlike the existing scatterometer missions …
Machine learning-based methods for sea surface rainfall detection from CYGNSS delay-doppler maps
Because of its unique advantages of a short revisit period, cheap observation cost, and high
spatial–temporal resolution, GNSS-Reflectometry (GNSS-R) technology has been used …
spatial–temporal resolution, GNSS-Reflectometry (GNSS-R) technology has been used …
Can GNSS reflectometry detect precipitation over oceans?
For the first time, a rain signature in Global Navigation Satellite System Reflectometry (GNSS‐
R) observations is demonstrated. Based on the argument that the forward quasi‐specular …
R) observations is demonstrated. Based on the argument that the forward quasi‐specular …
Observations of rain‐induced near‐surface salinity anomalies
Vertical salinity gradients in the top few meters of the ocean surface can exist due to the
freshwater input from rain. If present, surface gradients complicate comparing salinity …
freshwater input from rain. If present, surface gradients complicate comparing salinity …
Sea surface rainfall detection and intensity retrieval based on GNSS-reflectometry data from the CYGNSS mission
Rainfall detection (RD) and rainfall intensity (RI) retrieval are hot topics in the field of ocean
remote sensing (RS). In the past, the sea surface RD and RI retrieval were usually based on …
remote sensing (RS). In the past, the sea surface RD and RI retrieval were usually based on …