Multi-angle Imaging SpectroRadiometer Instrument Description and Experiment Overview
ABSTRACT The Multi-angle Imaging SpectroRadiometer instrument is scheduled for launch aboard the first of the Earth Observing System spacecraft, EOS-AM1. MISR will provide global, calibrated, and co-registered imagery at nine discrete viewing angles and four spectral bands. Algorithms developed specifically to capitalize on this measurement strategy will be used to retrieve geophysical products for studies of clouds, aerosols, and surface radiation. This paper provides an overview of the as-built instrument characteristics and the application of MISR to remote sensing of the Earth. I. INTRODUCTION The MISR instrument was delivered by the Jet Propulsion Laboratory to the space- craft contractor, Lockheed Martin Missiles and Space Valley Forge, Pennsylvania, on May 26, 1997. This delivery marked one of many major milestones in preparation for launch, currently scheduled for late-June 1998 from Vandenberg Air Force Base in California. MISR measurements are designed to improve our understanding o...
Conference Proceeding: Advances in mapping woody plant canopies using the NASA MISR Instrument on terra[show abstract] [hide abstract]
ABSTRACT: Red (672 nm) band reflectance estimates from the NASA multi-angle imaging spectro-radiometer (MISR) on the earth observing system Terra satellite were used to obtain maps of woody plant fractional crown cover, mean canopy height, and biomass for large parts of south-eastern Arizona and southern New Mexico (>200,000 km<sup>2</sup>). MISR red band bidirectional reflectance estimates in nine views mapped to a 250 m grid were used to adjust the simple geometric-optical model (SGM) that is based on the principles of Boolean geometry first exploited in Li-Strahler geometric-optical (GO) models. The soil-understory background signal was decoupled a priori by exploiting relationships with the nadir camera reflectance data and the kernel weights of the LiSparse-RossThin kernel-driven bidirectional reflectance distribution function (BRDF) model. Maps of fractional crown cover, mean canopy height, and biomass were produced via retrievals of the mean crown radius and shape parameters from inversion of the SGM using the Praxis algorithm. The mean absolute error in randomly sampled and filtered estimates of fractional crown cover, mean canopy height, and woody biomass was 0.10, 2.2 meters, and 4.5 tons acre<sup>-1</sup> (10.1 Mg ha<sup>-1</sup>), with RMS errors of 0.12, 3.3 and 6.2 (14.0), and coefficients of determination (R<sup>2</sup>) of 0.78, 0.69, and 0.81, respectively, significant at the 0.01 level (N=576).Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International; 08/2007