EDBT 2026 Demo / reviewers in the wild / expert
John C. Wilkerson
dblp:324/4460
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Wireless sensing and localization · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › remote sensing
radar remote sensing |
0.0 | 1 | 1994 | Airborne scatterometers: investigating ocean backscatter under low- and high-wind conditions · Proc. IEEE 1994 |
Environmental and earth informatics
oceanography |
0.0 | 1 | 1994 | Airborne scatterometers: investigating ocean backscatter under low- and high-wind conditions · Proc. IEEE 1994 |
Wireless sensing and localization
radar |
0.0 | 1 | 1994 | Airborne scatterometers: investigating ocean backscatter under low- and high-wind conditions · Proc. IEEE 1994 |
Wireless sensing and localization › radar signal processing
synthetic aperture radar |
0.0 | 1 | 1994 | Airborne scatterometers: investigating ocean backscatter under low- and high-wind conditions · Proc. IEEE 1994 |
Methods — techniques the papers use, named apart from their topics
radar backscatter measurement · 0.0polarimetry · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Airborne scatterometers: investigating ocean backscatter under low- and high-wind conditionsabstractAttempting to understand and predict weather on a local and global basis has challenged both the scientific and engineering communities. One key parameter in understanding the weather is the ocean surface wind vector because of its role in the energy exchange at the air-sea surface. scatterometers, radars that measure the reflectivity of a target offer a tool with which to remotely monitor these winds from tower-, aircraft-, and satellite-based platforms. This paper introduces three current airborne scatterometer systems, and presents data collected by these instruments under low-, moderate-, and high-wind conditions. The paper focuses on airborne scatterometers because of their ability to resolve submesoscale variations in wind fields. Discrepancies between existing theory and the observations are noted and the concerns in measuring low-wind speeds discussed. Finally, the application of using this technology for estimating the surface-wind vector during a hurricane is demonstrated.> James R. Carswell, Steven C. Carson, Robert E. McIntosh, Fuk K. Li, Gregory Neumann, David McLaughlin, John C. Wilkerson, Peter G. Black, Son V. Nghiem |
Proc. IEEE | 7 |