| Title | Detection and removal of cloud contamination from AVHRR images |
| |
| Author | Cihlar, J; Howarth, P J |
| Source | IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) vol. 32, issue 3, 1994 p. 427-437, https://doi.org/10.1109/36.297976 |
| Year | 1994 |
| Alt Series | Earth Sciences Sector, Contribution Series 20041196 |
| Alt Series | RESORS 1100956 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | Science and Technology; remote sensing; computer simulations; satellites; satellite imagery; AVHRR |
| Released | 1994 05 01 |
| Abstract | This paper describes the characteristics and performance of an algorithm designed to remove the effects of cloud contamination from AVHRR composite images over land. Using information in the temporal
NDVI profile, the algorithm detects cloud-contaminated pixels, and optionally replaces these with interpolated values of individual AVHRR channels or channel transformations. As tested, the algorithm detects only those effects of residual clouds
which result in a temporary decrease of the NDVI. It was found that the algorithm is capable of identifying clouds of varying opacity as well as cloud shadows present in the composites, and that its use appears preferable to compositing over longer
periods. The algorithm can be applied without the need for ancillary information, e.g. on expected surface radiance conditions. Although developed for use in biospheric studies at northern latitudes, it could also be applied in other areas of where
the seasonal trajectories of satellite-derived variables exhibit a single maximum or, by extension, a single minimum. |
| GEOSCAN ID | 217998 |
|
|