AI-generated Key Takeaways
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This dataset, owned by The Malaria Atlas Project, provides gap-filled Tasseled Cap Wetness (TCW) data derived from MODIS imagery from 2001 to 2024.
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The TCW data was created by applying tasseled-cap equations to MODIS imagery and then gap-filled to address missing data.
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The dataset includes annual aggregations of the gap-filled data, with a pixel size of 5000 meters.
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The data is available under a CC-BY-NC-SA-4.0 license.

- Catalog Owner
- The Malaria Atlas Project
- Dataset Availability
- 2001-02-01T00:00:00Z–2024-01-01T00:00:00Z
- Dataset Provider
- The Malaria Atlas Project
- Contact
- The Malaria Atlas Project
- Cadence
- 1 Year
- Tags
Description
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. After gap-filling the data was clipped to thresholds of [-1, 2] to ensure valid values.
The gap-filled 8-daily ~1km outputs are then aggregated temporally to produce monthly and annual products.
Bands
Pixel Size
5000 meters
Bands
Name | Min | Max | Pixel Size | Description |
---|---|---|---|---|
Mean |
-0.84* | 0.96* | meters | The mean value of Tasseled Cap Wetness for each aggregated pixel. |
Terms of Use
Terms of Use
Citations
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. doi:10.1016/j.isprsjprs.2014.10.001
Lobser, S.E. & Cohen, W.B. (2007) MODIS tasselled cap: land cover characteristics expressed through transformed MODIS data. International Journal of Remote Sensing, 28, 5079-5101.
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('projects/malariaatlasproject/assets/TCW_v061/1km/Annual') .filter(ee.Filter.date('2018-01-01', '2023-01-01')); var means = dataset.select('Mean'); var visParams = { min: -0.6, max: 0.5, palette: ['ffffff','fcd163','99b718','66a000','3e8601','207401','056201','004c00','011301'], }; Map.setCenter(0, 0, 2); Map.addLayer(means, visParams, 'Annual TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness');