NDLI: Vegetation profile estimates from multialtitude, multifrequency radar interferometric and polarimetric data

Content Provider	IEEE Xplore Digital Library
Author	Treuhaft, R.N. Law, B.E. Asner, G.P. Hensley, S.
Copyright Year	2000
Description	Author affiliation: Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA (Treuhaft, R.N.)
Abstract	Forest vegetation profiles are key inputs to biomass determination and ecosystem modeling. With the advent of radar interferometry, microwave remote sensing is directly sensitive to the distribution of vegetation in the vertical direction. Polarimetry and polarimetric interferometry further enhance vertical-profile determination. Parameter estimation driven by simple physical models of vegetation scattering yields quantitative estimates of parameteres such as vegetation height and the dimensions of vegetation layers and their relative scattering strengths. The analysis of a JPL TOPSAR data set collected in April 1998 over Central Oregon focuses on the relative contributions of interferometric, polarimetric, and multifrequency data types to improving vegetation parameter-estimate accuracy. This data set consists of vertical-polarization interferometry at three radar altitudes, 8 km, 4 km, and 2 km at C-band (5-cm wavelength) and L-band (25 cm), and full polarimetry at C-, L-, and P-(80 cm) bands. After a brief description of the data set, a description of the simple physical model used to estimate vegetation profile parameters is followed by a description of the data set and the results.
Starting Page	126
Ending Page	128
File Size	319641
Page Count	3
File Format	PDF
ISBN	0780363590
DOI	10.1109/IGARSS.2000.860443
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation Parameter estimation Polarimetry Radar scattering Scattering parameters Biomass Ecosystems Radar interferometry Remote sensing Yield estimation
Content Type	Text
Resource Type	Article

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