DocumentCode :
2117749
Title :
Multi-spectral analysis of the Amazon basin using SeaWinds, ERS, Seasat scatterometers, TRMM-PR and SSM/I
Author :
Stephen, Haroon ; Long, David G.
Author_Institution :
Microwave Earth Remote Sensing Lab., Brigham Young Univ., Provo, UT, USA
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
1780
Abstract :
The Amazon basin represents a vast geographical zone containing large proportion of global biomass. We use the SeaWinds scatterometer (QSCAT), ERS-1/-2 scatterometer (ESCAT), NASA scatterometer (NSCAT) Seasat scatterometer (SASS), Tropical Rain Measuring Mission Precipitation Radar (TRMM-PR) and Special Sensor Microwave/Imager (SSM/I) data to study the multi-spectral microwave response of Amazon vegetation. Incidence angle signatures of combined backscatter measurements (σo) from the scatterometers and precipitation radar indicate a good inter-calibration of the sensors. The multi-frequency signatures of both σo and radiometric temperature measurements (Tb) from SSM/I are also studied. Temporal variability of the Amazon basin is studied using C-band ERS data and a Ku-band time series formed by SASS, NSCAT and QSCAT data. ESCAT data reveals a possible mismatch in the calibration of scatterometers between ERS-1 and ERS-2. Although the central Amazon forest represents an area of very stable radar backscatter measurements, portions of the southern region exhibit backscatter changes over the past two decades.
Keywords :
forestry; geophysical signal processing; geophysical techniques; radiometry; remote sensing; remote sensing by radar; sensor fusion; spaceborne radar; terrain mapping; vegetation mapping; Amazon basin; Brazil; ERS; SSM/I; SeaWinds; Seasat; South America; TRMM PR; geophysical measurement technique; land surface; land use; microwave radiometry; multi-spectral analysis; radar remote sensing; radr scatterometry; remote sensing; sensor fusion; spaceborne radar; terrain mapping; tropical forest; vegetation mapping; Backscatter; Biomass; Biosensors; Image sensors; Microwave measurements; NASA; Radar imaging; Radar measurements; Radar scattering; Rain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026252
Filename :
1026252
Link To Document :
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