Remote Sensing Using GNSS Bistatic Radar of Opportunity, GRSS Chapter Meeting
First meeting of the Chapter for 2018, Guest speaker is recently retired from NOAA having done research on bi-static radar using the GNSS constellation as a source.
Date and Time
Location
Hosts
Registration
- Date: 26 Apr 2018
- Time: 06:00 PM to 07:30 PM
- All times are (UTC-06:00) Mountain Time (US & Canada)
-
Add Event to Calendar
- Collaboratory
- 1111 Engineering Drive
- Boulder , Colorado
- United States 80309
- Building: ECCR Engineering Center
- Room Number: 1B40
- Click here for Map
- Contact Event Host
- Co-sponsored by Aravind Venkitasubramony Aravind.Venkitasubramony@colorado.edu
- Starts 19 April 2018 06:04 PM
- Ends 26 April 2018 06:00 PM
- All times are (UTC-06:00) Mountain Time (US & Canada)
- No Admission Charge
Speakers
Dr. Valery Zavorotny of Physical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado (Ret.)
Remote Sensing Using GNSS Bistatic Radar of Opportunity
In the past decade there has been considerable interest in using signals of opportunity such as those from Global Navigation Satellite Systems for remote sensing of ocean, land, snow and ice. GNSS-reflected signals, after being received and processed by the airborne or space-borne receiver, are available as delay correlation waveforms or as delay-Doppler maps. These bistatic signals scattered from the ocean surface can be used for altimetric or wind-scatterometric purposes complementing traditional monostatic radar techniques. Similarly, information about soil moisture, snow depth and vegetation can be inferred from GNSS reflected signals. The existing research has shown that GNSS reflectometry has the potential to be a low-cost, wide coverage technique for studying Earth’s environmental processes.
In the first part of the talk an overview will be given to above applications of GNSS bistatic reflectometry, whereas the second part of the talk will focus on the measurements of ocean surface roughness, wind speed and direction using both aircraft and orbital bistatic radars. A theoretical forward model which relates the delay-Doppler map to the bistatic radar cross section, and then to statistical characteristics of the wind-driven waves will be discussed. Algorithms to retrieve wind speed and wind direction using delay-Doppler maps processed from the data collected by the GPS software receiver onboard the NOAA Gulfstream-IV jet aircraft will be demonstrated. Finally, experiments in space-borne GNSS bistatic radar missions such as the U.K. Technology Demonstration Satellite (TDS-1) and the Cyclone Global Navigation Satellite System (CYGNSS) mission will be discussed.
Biography:
Valery Zavorotny (M’01–SM’03-F’10) received the M. S. degree in radio physics from Gorky State University, Gorky, Russia, in 1971, and the Ph.D. degree in physics and mathematics from the Institute of Atmospheric Physics, USSR Academy of Sciences, Moscow, in 1979. From 1971 to 1990, he was with the Institute of Atmospheric Physics of the USSR Academy of Sciences where he worked on the theory of wave propagation through random media and wave scattering from rough surfaces. In 1990, he joined the Lebedev Physical Institute, Moscow. From 2000 until retiring in 2018 he was a Physicist at the Earth System Research Laboratory of the National Oceanic and Atmospheric Administration (NOAA), Boulder, CO. Dr. Zavorotny’s current research interests are in the areas of modeling of EM wave scattering from rough sea surface, ocean and land remote sensing applications using radar and GNSS reflection techniques. He has more than 150 publications in scientific journals, conference proceedings and book chapters. He
is currently a Co-PI, member of Science Team for Cyclone Global Navigation Satellite System (CYGNSS) mission. Dr. Zavorotny is a member of AGU and a member of Commission F of the U.S. National Committee of URSI. He is a recipient of the 2014 Prince Sultan Bin Abdulaziz International Creativity Prize for Water and the 2017 Governor’s Award for High-Impact Research, for development of a new cost-effective technique, GPS Interferometric Reflectometry (GPS-IR), to measure soil moisture, snow depth, and vegetation water content (together with K. Larson, E. Small, and J. Braun).
Address:Boulder, Colorado, United States
Eran Dai of University of Colorado
L-band High Resolution Soil Moisture Mapping Using a Small Unmanned Aerial System
Soil moisture is of fundamental importance to many hydrological, biological and biogeochemical processes, plays an important role in the development and evolution of convective weather and precipitation, water resource management, agriculture, and flood runoff prediction. The launch of NASA’s Soil Moisture Active/Passive (SMAP) mission in 2015 provide new passive global measurements of soil moisture and surface freeze/thaw state at fixed crossing times and spatial resolutions of 36 km. However, there exists a need for measurements of soil moisture on smaller spatial scales and arbitrary diurnal times for SMAP validation, precision agriculture and evaporation and transpiration studies of boundary layer heat transport. The Lobe Differencing Correlation Radiometer (LDCR) provides a means of mapping soil moisture on spatial scales as small as several meters. Compared with other methods of validation based on either in-situ measurements or existing airborne sensors suitable for manned aircraft deployment, the integrated design of the LDCR on a lightweight small UAS (sUAS) is capable of providing sub-watershed (~km scale) coverage at very high spatial resolution (~15 m) suitable for scale studies, and at comparatively low operator cost. To demonstrate the LDCR several flights had been performed during field experiments at the Canton Oklahoma Soilscape site and Yuma Colorado Irrigation Research Foundation (IRF) site in 2015 and 2016 separately using LDCR Rev A and Tempest sUAS. The scientific intercomparisons of LDCR retrieved soil moisture and in-situ measurements will be presented.
Biography:
Eryan Dai is currently a Ph. D. candidate in Remote Sensing in the Department of Electrical Computer & Energy Engineering, University of Colorado Boulder. She received her M.S. from Fudan University, Shanghai, China in 2008. Her research interests include passive remote sensing of soil moisture, radiative transfer and electromagnetic theory, microwave instrumentation and calibration.
Address:ECEE, , Boulder, Colorado, United States