Spaceborne wind scatterometers are designed principally to measure rad
ar backscatter from the ocean's surface for the determination of the n
ear-surface wind direction and speed. Although measurements of the rad
ar backscatter are made over land, application of these measurements h
as been limited primarily to the calibration of the instrument. This h
as been due in part to the low resolution of the scatterometer measure
ments (nominally 50 km for the Seasat-A Scatterometer [SASS]). In this
paper we present a method for generating enhanced resolution radar im
ages of the earth's surface using spaceborne scatterometry. The techni
que is based on a new image reconstruction technique which takes advan
tage of the spatial overlap in scatterometer measurements made at diff
erent times to provide enhanced imaging resolution. We describe the re
construction algorithm and demonstrate the technique using both simula
ted and actual SASS measurements. The technique can also be used with
ERS-1 scatterometer data. The SASS-derived images, which have approxim
ately 4 km resolution, dramatically illustrate the resolution enhancem
ent capability of the new technique. The technique permits utilization
of both historic and contemporary scatterometer data for medium-scale
monitoring of vegetation and polar ice. We discuss the tradeoff betwe
en imaging noise and resolution inherent in the technique. The instrum
ent processing method employed by SASS limits the ultimate resolution
which can be obtained with our method. However, with minor modificatio
ns to future Doppler scatterometer systems (such as the NASA scatterom
eter [NSCAT] and its follow-on EoS-era scatterometer) imaging resoluti
ons down to 1-2 km for land/ice and 5-10 km for wind measurement can b
e achieved with a moderate increase in downlink bandwidth (from 5 kbps
to 700 kpbs). We describe these modifications and briefly describe so
me of the applications of this medium-scale Ku-band imagery for vegeta
tion studies, hydrology, sea ice mapping, and the study of mesoscale w
inds.