Assessment of Satellite Albedos Using NASA-CAR Airborne Data
Abstract
Airborne BRF (Bidirectional Reflectance Factor) data has been acquired at multiple altitudes by the NASA CAR (Cloud Absorption Radiometer) multi-spectral instrument since the late 1990s in order to study the reflectance over different types of landscapes depending upon wavelengths, view angles and spatial scales, and to assess derived BRFs from multispectral satellites. As the measured BRFs are taken over a very short period (< 2 minutes), we minimise the effects of solar angles and atmospheric effects. This allows the derivation of a dense set of BRFs which allow direct display of polar plots of the BRDF for different sites in the Arctic. Also, as the measurements have been taken at different flight heights, the upscaling issue can be addressed and detailed with concrete samples. The CAR instrument is well calibrated (back to NIST standards) and can be compared with some ground measurements on the ground. So the derived BRF data for this instrument are likely to be highly reliable and can be used in the validation of some satellites products like radiance, reflectance and albedo, as well as in the BRDF (Bidirectional Reflectance Distribution Function) modelling and in the development of new atmospheric correction techniques. The NASA-CAR, developed by NASA-GSFC can be carried and integrated into many experimental aircraft. So, CAR can be considered as an airborne multi-wavelength scanning radiometer that can measure radiance with instantaneous fields of view of 1°. Over targeted sites, the CAR flies circularly and scans through 180° from straight above, through the horizon to straight down. Data are recorded in 14 narrow spectral bands located in the ultraviolet, visible and near-infrared regions in the electromagnetic spectrum (0.340-2.301 mm). The ray or spot at nadir depends on the flight height. It varies from 1m (height=110m) to 48m (height=5500m). We will show in this presentation the accuracy of BRF, BRDF and Black-Sky-Albedo of MODIS, MISR, MERIS, VGT, Landsat-7 and AVHRR, over vegetated, non-vegetated and ice-covered sites. We will show also how CAR data are arranged and how can be read and deployed. This work was supported by QA4ECV, a project of European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 607405
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.B31B0477K
- Keywords:
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- 0434 Data sets;
- BIOGEOSCIENCESDE: 0480 Remote sensing;
- BIOGEOSCIENCESDE: 0736 Snow;
- CRYOSPHEREDE: 1990 Uncertainty;
- INFORMATICS