Keywords

Amazon forest, QuikSCAT, SeaWinds, calibration, radar cross section

Abstract

The SeaWinds-on-QuikSCAT (QuikSCAT) and SeaWinds-on-ADEOS-2 (SeaWinds) scatterometers measure the normalized radar backscatter (O) of the earth's surface. These identical radar sensors are on different spaceborne platforms in similar orbits. QuikSCAT and SeaWinds data are used to infer near-surface wind vectors, polar sea-ice extent, polar-ice melt events, etc. In order to verify the relative calibration of these sensors, a simple cross calibration based on land backscatter measurements is performed. A first-order polynomial model is used to remove the incidence angle dependence of O for selected regions of the Amazon rainforest and the Sahara Desert. It is shown that the two sensors are well-calibrated to each other and require no bias corrections. Additionally, evidence of a diurnal cycle in the Amazon rainforest backscatter is given.

Original Publication Citation

Kunz, L. B., and D. G. Long. "Calibrating SeaWinds and QuikSCAT Scatterometers using Natural Land Targets." Geoscience and Remote Sensing Letters, IEEE 2.2 (25): 182-6

Document Type

Peer-Reviewed Article

Publication Date

2005-04-01

Permanent URL

http://hdl.lib.byu.edu/1877/1025

Publisher

IEEE

Language

English

College

Ira A. Fulton College of Engineering and Technology

Department

Electrical and Computer Engineering

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