Abstract
Satellite sensors, acquire bidirectional reflectance data under different solar illumination angles. These systems will capture the strong anisotropic properties that vary with relative amounts and types of vegetation and soil within each pixel. Therefore, some knowledge of the bidirectional reflectance distribution function (BRDF) is a requirement for successful interpretation of directional reflectance data and vegetation indices, and derivation of land-cover-specific biophysical parameters. The objectives of this research were: a) to parameterize empirical and semi-empirical BRDF models for different land cover types and MODIS spectral bands, b) utilize the BRDF models to correct off-nadir measurements to nadir-equivalent values for vegetation index (VI) compositing and biophysical interpretation and c) compare different vegetation index compositing scenarios.
| Original language | English (US) |
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| Pages | 1423-1425 |
| Number of pages | 3 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4) - Lincoln, NE, USA Duration: May 28 1996 → May 31 1996 |
Other
| Other | Proceedings of the 1996 International Geoscience and Remote Sensing Symposium. Part 3 (of 4) |
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| City | Lincoln, NE, USA |
| Period | 5/28/96 → 5/31/96 |
ASJC Scopus subject areas
- Computer Science Applications
- Earth and Planetary Sciences(all)