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APPL
Statistical packages have been used for decades to analyze large datasets or to perform mathematically intractable statistical methods. These packages are not capable of working with random variablesExpand
Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards
Satellite remote sensing is providing a systematic, synoptic framework for advancing scientific knowledge of the Earth as a complex system of geophysical phenomena that, directly and throughExpand
Radar polarimetry: analysis tools and applications
The authors have developed several techniques to analyze polarimetric radar data from the NASA/JPL airborne SAR for Earth science applications. The techniques determine the heterogeneity ofExpand
Survival Distributions Satisfying Benford's Law
Abstract Hill stated that “An interesting open problem is to determine which common distributions (or mixtures thereof) satisfy Benford's law …”. This article quantifies compliance with Benford's lawExpand
Microwave dielectric properties of dry rocks
The use of a combination of several measurement techniques to investigate the dielectric properties of 80 rock samples in the microwave region is discussed. The real part of the relative dielectricExpand
The Distribution of Order Statistics for Discrete Random Variables with Applications to Bootstrapping
TLDR
The part of the order-statistic algorithm for sampling with replacement from a finite sample can be used to perform exact bootstrapping analysis in certain applications, eliminating the need for replication in the analysis of a data set. Expand
Estimates of surface roughness derived from synthetic aperture radar (SAR) data
TLDR
Synthetic aperture radar data over the Cima volcanic field in the Mojave Desert of California are quantitatively connected with microtopography through inversion of a radar backscatter model, and changes in surface roughness inferred from the derivedmicrotopography are modeled and found to be consistent with aeolian mantling as surfaces age. Expand
Separation of vegetation and rock signatures in Thematic Mapper and polarimetric SAR images
Abstract A technique for separating classes of surface roughness and vegetation in semiarid regions using polarimetric Synthetic Aperture Radar (SAR) and Thematic Mapper (TM) data has been developed.Expand
Review article Synthetic aperture radar (SAR) frequency and polarization requirements for applications in ecology, geology, hydrology, and oceanography: A tabular status quo after SIR-C/X-SAR
Abstract The Spaceborne Imaging Radar-C, X-Band Synthetic Aperture Radar (SIR-C/X-SAR) was the first multi-frequency and multi-polarization SAR system to be launched into space. SIR-C/X-SAR imagedExpand
Approach to derivation of SIR-C science requirements for calibration
TLDR
It is shown that polarimetric calibration requirements are strongly application dependent and the SIR-C investigators are advised to assess the calibration requirements of their own experiment. Expand
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