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
[null,null,[],[],[],null,["info\n\n\nThis dataset is part of a Publisher Catalog, and not managed by Google Earth Engine.\n\nContact [The Malaria Atlas Project](/earth-engine/datasets/catalog/data.malariaatlas.org@thekids.org.au)\n\nfor bugs or [view more datasets](https://developers.google.com/earth-engine/datasets/publisher/malariaatlasproject)\nfrom the The Malaria Atlas Project Catalog. [Learn more about Publisher datasets](/earth-engine/datasets/publisher). \n[](https://data.malariaatlas.org) \n\nCatalog Owner\n: The Malaria Atlas Project\n\nDataset Availability\n: 2001-03-01T00:00:00Z--2024-12-26T00:00:00Z\n\nDataset Provider\n:\n\n\n [The Malaria Atlas Project](https://www.malariaatlas.org)\n\nContact\n: [The Malaria Atlas Project](/earth-engine/datasets/catalog/data.malariaatlas.org@thekids.org.au)\n\nCadence\n: 8 Days\n\nTags\n:\n[climate](/earth-engine/datasets/tags/climate) [lst](/earth-engine/datasets/tags/lst) [malariaatlasproject](/earth-engine/datasets/tags/malariaatlasproject) [map](/earth-engine/datasets/tags/map) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) [surface-temperature](/earth-engine/datasets/tags/surface-temperature) \n\nDescription \nDaytime Land Surface Temperature (LST) are derived from the \\~1km MODIS [MOD11A2 v6.1](https://lpdaac.usgs.gov/products/mod11a2v061/) products.\nThe 8-daily composites are converted to degrees Celsius and then gap-filled using the approach outlined in [Weiss et al (2014)](https://doi.org/10.1016/j.isprsjprs.2014.10.001)\nto eliminate missing data caused by factors such as cloud cover.\nAfter gap-filling the data was clipped to thresholds of \\[-100, 100\\] to ensure valid values.\n\nThe gap-filled 8-daily \\~1km outputs are then aggregated temporally to produce monthly and annual products.\n\nBands\n\n\n**Pixel Size**\n\n5000 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|--------|----------|---------|------------|-------------------------------------------------------------------------------|\n| `Mean` | -74.03\\* | 63.87\\* | meters | The mean value of daytime land surface temperature for each aggregated pixel. |\n\n\\* estimated min or max value\n\nTerms of Use\n\n**Terms of Use**\n\n[CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html)\n\nCitations \nCitations:\n\n- Weiss, D.J., P.M. Atkinson, S. Bhatt, B. Mappin, S.I. Hay \\& P.W. Gething\n (2014) An effective approach for gap-filling continental scale remotely\n sensed time-series. ISPRS Journal of Photogrammetry and Remote Sensing,\n 98, 106-118.\n [doi:10.1016/j.isprsjprs.2014.10.001](https://doi.org/10.1016/j.isprsjprs.2014.10.001)\n\nExplore with Earth Engine **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\nCode Editor (JavaScript) \n\n```javascript\nvar dataset = ee.ImageCollection('projects/malariaatlasproject/assets/LST_Day_v061/1km/8-Daily')\n .filter(ee.Filter.date('2022-01-01', '2022-04-01'));\nvar means = dataset.select('Mean');\nvar visParams = {\n min: -20.0,\n max: 50.0,\n palette: ['800080','0000ab','0000ff','008000','19ff2b','a8f7ff','ffff00','d6d600','ffa500','ff6b01','ff0000'],\n};\nMap.setCenter(0, 0, 2);\nMap.addLayer(means, visParams, '8-Daily LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/malariaatlasproject/projects_malariaatlasproject_assets_LST_Day_v061_1km_8-Daily) \n[LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (8-Daily 1km)](/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Day_v061_1km_8-Daily) \nDaytime Land Surface Temperature (LST) are derived from the \\~1km MODIS MOD11A2 v6.1 products. The 8-daily composites are converted to degrees Celsius and then 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 ... \nprojects/malariaatlasproject/assets/LST_Day_v061/1km/8-Daily, climate,lst,malariaatlasproject,map,publisher-dataset,surface-temperature \n2001-03-01T00:00:00Z/2024-12-26T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.malariaatlas.org)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_LST_Day_v061_1km_8-Daily)"]]
