product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled
using the approach outlined in Weiss et al. (2014) to eliminate missing
data caused by factors such as cloud cover. Gap-free outputs were then
aggregated temporally and spatially to produce the monthly ≈5km product.
The underlying dataset for this Enhanced Vegetation Index (EVI)
product is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled
using the approach outlined in Weiss et al. (2014) to eliminate missing
data caused by factors such as cloud cover. Gap-free outputs were then
aggregated temporally and spatially to produce the monthly ≈5km product.
Name | Description |
---|---|
Mean | The mean value of the Enhanced Vegetation Index 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 | evi, map, oxford, vegetation |
License | proprietary |
Temporal Extent | 1/31/2001, 4:00:00 PM - 5/31/2015, 5:00:00 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 |