2005•Unpublished venueRequires access

High-resolution Land/ice Imaging Using Seasat Scatterometer Measurements

David G. Long, P.T. Whiting, Perry J. Hardin

Open publisher page 6 citations

Abstract

In this paper we introduce a new method for obtaining high resolution images (to 4 km) of the land backscatter from low-resolution Seasat-A scatterometer (SASS) measurements. The method utilizes the measurement cell overlap in multiple spacecraft passes over the region of interest and signal processing techniques to generate high resolution images of the radar backscatter. The overlap in the 0 ' resolution cells is exploited to estimate the underlying high resolution surface radar backscatter characteristics using a robust new multivariate image reconstruction algorithm. The new algorithm has been designed to operate in the high noise environment typical of scatterometer measurements. The ultimate resolution obtainable is a function of the number of measurements and the measurement overlap. We describe the method and provide sample results based on SASS data. We describe modifications to future scatterometers which would permit the method to produce 1-2 km resolution over land and ice. The high-resolution scatterometer imaging technique, coupled with the frequent, multiple-incidence angle coverage afforded by the scatterometer, is expected to significantly enhance the utility of sca.tteroineter data in various land, ice, and vegetation studies.

About this research paper

What this paper is about

In this paper we introduce a new method for obtaining high resolution images (to 4 km) of the land backscatter from low-resolution Seasat-A scatterometer (SASS) measurements. The method utilizes the measurement cell overlap in multiple spacecraft passes over the region of interest and signal processing techniques to generate high resolution images of the radar backscatter. The overlap in the 0 ' resolution cells is exploited to estimate the underlying high resolution surface radar backscatter characteristics using a robust new multivariate image reconstruction algorithm. The new algorithm has been designed to operate in the high noise environment typical of scatterometer measurements. The ultimate resolution obtainable is a function of the number of measurements and the measurement overlap. We describe the method and provide sample results based on SASS data. We describe modifications to future scatterometers which would permit the method to produce 1-2 km resolution over land and ice. The high-resolution scatterometer imaging technique, coupled with the frequent, multiple-incidence angle coverage afforded by the scatterometer, is expected to significantly enhance the utility of sca.tteroineter data in various land, ice, and vegetation studies.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper we introduce a new method for obtaining high resolution images (to 4 km) of the land backscatter from low-resolution Seasat-A scatterometer (SASS) measurements. The method utilizes the measurement cell overlap in multiple spacecraft passes over the region of interest and signal processing techniques to generate high resolution images of the radar backscatter. The overlap in the 0 ' resolution cells is exploited to estimate the underlying high resolution surface radar backscatter characteristics using a robust new multivariate image reconstruction algorithm. The new algorithm has been designed to operate in the high noise environment typical of scatterometer measurements. The ultimate resolution obtainable is a function of the number of measurements and the measurement overlap. We describe the method and provide sample results based on SASS data. We describe modifications to future scatterometers which would permit the method to produce 1-2 km resolution over land and ice. The high-resolution scatterometer imaging technique, coupled with the frequent, multiple-incidence angle coverage afforded by the scatterometer, is expected to significantly enhance the utility of sca.tteroineter data in various land, ice, and vegetation studies.

Key concepts: Scatterometer, Remote sensing, Backscatter (email), Sass, Radar imaging, Image resolution, Radar, Geology

Related papers

Back to paper searchBrowse research topicsOriginal source
High-resolution Land/ice Imaging Using Seasat Scatterometer Measurements — Research Paper | ScholarLens