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 |
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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 |
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Country/Territory | United States |
City | Anchorage, AK |
Period | 09/20/04 → 09/24/04 |
Keywords
- AVHRR
- Clouds
- NDVI
- Nonparameteric detection
- Signed rank
- Vegetation
- Wilcoxon