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8 December 2008 Remote sensing of the global environment with satellite scatterometry
Son V. Nghiem, Gregory Neumann
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Proceedings Volume 7154, Microwave Remote Sensing of the Atmosphere and Environment VI; 715402 (2008) https://doi.org/10.1117/12.804462
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia
Abstract
This paper presents an overview of satellite scatterometry for remote sensing of the global environment from the tropics to polar regions. Results were derived from microwave backscatter data acquired by the NASA SeaWinds scatterometer aboard the QuikSCAT (QSCAT) satellite. QSCAT observed two successive super cyclones that hit the Orissa coastal region of India, affecting 15 million people in 1999. The extent of soil moisture change was delineated after Cyclone Nargis made landfall in Myanmar in May 2008. QSCAT detected excessive rainwater followed by a severe drought leading to widespread wildfires in California, U.S., in 2007. QSCAT tracked vegetation change in an extreme drought in Nairobi, Kenya, affecting 3 million people in 2000. QSCAT monitored snowmelt patterns over the Northern Hemisphere, which showed poleward oscillations of melt bands. QSCAT revealed a record reduction in Arctic perennial sea ice in this decade and a further drastic decline of perennial ice in 2008. At 1-km posting, QSCAT identified urban and suburban areas where backscatter was shown to correlate with population density. QSCAT delineated wind shadow areas near small islands in the Asia-Pacific region. These results demonstrate that satellite scatterometer can provide numerous crucial data products to the Global Earth Observation System of Systems.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Son V. Nghiem and Gregory Neumann "Remote sensing of the global environment with satellite scatterometry", Proc. SPIE 7154, Microwave Remote Sensing of the Atmosphere and Environment VI, 715402 (8 December 2008); https://doi.org/10.1117/12.804462
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KEYWORDS
Floods
Backscatter
Satellites
Soil science
Vegetation
Environmental sensing
Meteorology
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