Abstract
Two non-parametric detectors, based on the Sign Test and the Wilcoxon Signed Rank Test, were applied to 10-day composites of Normalized Difference Vegetation Index (NDVI) data to detect cloud contaminated pixels. The performances of these detectors were found to be no better than a detector based on randomly chosen thresholds. The detector thresholds need to account for the climatologically induced biases in the data for each region and time period every year.
| Original language | English |
|---|---|
| Pages | 1037-1040 |
| Number of pages | 4 |
| State | Published - 2004 |
| Externally published | Yes |
| Event | 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States Duration: Sep 20 2004 → Sep 24 2004 |
Conference
| Conference | 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 |
|---|---|
| Country/Territory | United States |
| City | Anchorage, AK |
| Period | 09/20/04 → 09/24/04 |
Keywords
- AVHRR
- Clouds
- NDVI
- Nonparameteric detection
- Signed rank
- Vegetation
- Wilcoxon