the tasseled-cap equations defined in Lobser and Cohen (2007) to
MODIS BRDF-corrected imagery (MCD43B4). The resulting data were
gap-filled using the approach outlined in Weiss et al. (2014) to eliminate
missing data caused by factors such as cloud cover, and then the data were
aggregated temporally and spatially to produce the monthly ≈5km product.
This gap-filled Tasseled Cap Wetness (TCW) dataset was created by applying
the tasseled-cap equations defined in Lobser and Cohen (2007) to
MODIS BRDF-corrected imagery (MCD43B4). The resulting data were
gap-filled using the approach outlined in Weiss et al. (2014) to eliminate
missing data caused by factors such as cloud cover, and then the data were
aggregated temporally and spatially to produce the monthly ≈5km product.
Name | Description |
---|---|
Mean | The mean value of Tasseled Cap Wetness for each aggregated pixel. |
FilledProportion | A quality control band that indicates the percentage of each resulting pixel that was comprised of raw data (as opposed to gap-filled estimates). |
Providers | |
---|---|
Oxford Malaria Atlas Project (producer, licensor) | |
Google Earth Engine (host) | |
STAC Version | 0.6.0 |
Keywords | map, oxford, tasseled_cap, tcb, wetness |
License | proprietary |
Temporal Extent | 1/31/2001, 4:00:00 PM - 12/31/2014, 4:00:00 PM |
Citation | Weiss, D.J., P.M. Atkinson, S. Bhatt, B. Mappin, S.I. Hay & P.W. Gething (2014) An effective approach for gap-filling continental scale remotely sensed time-series. ISPRS Journal of Photogrammetry and Remote Sensing, 98, 106-118. |
Type | image_collection |
GSD | metersm |
Cadence | month |