| Title | BRDF/Albedo retrievals from the Terra and Aqua MODIS systems at 500-m spatial resolution and 10-day intervals |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Luo, Y; Trishchenko, A ; Latifovic, R; Khlopenkov, K; Li, Z |
| Source | Weather and Environmental Satellites; by Vonder Haar, T H (ed.); Huang, H -L A (ed.); Proceedings of SPIE, the International Society of Optical Engineering vol. 5549, 2004 p. 194-201, https://doi.org/10.1117/12.558802 |
| Year | 2004 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043299 |
| Publisher | SPIE |
| Meeting | International symposium on optical science and technology, SPIE's 49th annual meeting; Denver; US; August 2 -, 2004 |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Area | southern Great Planes |
| Subjects | geophysics; remote sensing; modelling; reflectance; Agriculture |
| Illustrations | graphs; satellite images |
| Released | 2004 09 15 |
| Abstract | Surface bi-directional reflectance distribution function (BRDF) and albedo properties are retrieved over the Atmospheric Radiation Measurement (ARM) Program Southern Great Plains (SGP) area. A
landcover-based fitting approach is employed by using a newly developed landcover classification map and the MODIS 10-day surface reflectance product (MOD09). The surface albedo derived by this method is validated against other satellite systems
(e.g. Landsat-7 and MISR) and ground measurements made by an ASD spectroradiometer. Our results show good agreements between the datasets in general. The advantages of this method include the ability to capture rapid changes in surface properties
and an improved performance over other methods under a frequent presence of clouds. Results indicate that the developed landcover-based fitting methodology is valuable for generating spatially and temporally complete surface albedo and BRDF maps
using MODIS observations. |
| GEOSCAN ID | 220101 |
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