Das zugrunde liegende Dataset für dieses Tagesprodukt sind MODIS-Daten zur Landoberflächentemperatur (MOD11A2), die mit dem in Weiss et al. (2014) beschriebenen Ansatz aufgefüllt wurden, um fehlende Daten aufgrund von Faktoren wie Wolkenbedeckung zu eliminieren. Die lückenlosen Ausgaben wurden dann zeitlich und räumlich aggregiert, um das monatliche Produkt mit einer Auflösung von etwa 5 km zu erstellen.
Dieses Dataset wurde von Harry Gibson und Daniel Weiss vom Malaria Atlas Project (Big Data Institute, University of Oxford, Vereinigtes Königreich, https://malariaatlas.org/) erstellt.
Bänder
Pixelgröße 5.000 Meter
Bänder
Name
Einheiten
Min.
Max.
Pixelgröße
Beschreibung
Mean
°C
–74,03*
63,87*
Meter
Der Mittelwert der Geländeoberflächentemperatur am Tag für jedes aggregierte Pixel.
FilledProportion
%
0*
100*
Meter
Ein Qualitätskontrollbereich, der den Prozentsatz der einzelnen resultierenden Pixel angibt, die aus Rohdaten bestehen (im Gegensatz zu schätzungsbasierten Daten).
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.
Der zugrunde liegende Datensatz für dieses Tagesprodukt sind MODIS-Daten zur Landoberflächentemperatur (MOD11A2), die mit dem in Weiss et al. (2014) beschriebenen Ansatz aufgefüllt wurden, um fehlende Daten zu eliminieren, die durch Faktoren wie Wolkenbedeckung verursacht wurden. Die lückenlosen Ausgaben wurden dann zeitlich und räumlich aggregiert, um die monatlichen ≈5 km …
[null,null,[],[[["\u003cp\u003eThis dataset provides monthly daytime land surface temperature data at a 5km resolution, derived from MODIS and gap-filled to address cloud cover issues.\u003c/p\u003e\n"],["\u003cp\u003eThe data covers the period from March 2001 to June 2015 and was produced by the Oxford Malaria Atlas Project.\u003c/p\u003e\n"],["\u003cp\u003eIt includes a band indicating the percentage of raw data used in each pixel for quality control.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available under a CC-BY-NC-SA-4.0 license and can be accessed and analyzed within Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThis product is based on the methodology outlined in Weiss et al.(2014) for gap-filling continental-scale remotely sensed time-series data.\u003c/p\u003e\n"]]],[],null,["# Oxford MAP LST: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature\n\nDataset Availability\n: 2001-03-01T00:00:00Z--2015-06-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Oxford Malaria Atlas Project](https://www.bdi.ox.ac.uk/research/malaria-atlas-project)\n\nCadence\n: 1 Month\n\nTags\n:\n[climate](/earth-engine/datasets/tags/climate) [lst](/earth-engine/datasets/tags/lst) [map](/earth-engine/datasets/tags/map) [oxford](/earth-engine/datasets/tags/oxford) [surface-temperature](/earth-engine/datasets/tags/surface-temperature) \n\n#### Description\n\nThe underlying dataset for this daytime product is MODIS land surface\ntemperature data (MOD11A2), which was gap-filled using the approach\noutlined in Weiss et al. (2014) to eliminate missing data caused by factors\nsuch as cloud cover. Gap-free outputs were then aggregated temporally and\nspatially to produce the monthly ≈5km product.\n\nThis dataset was produced by Harry Gibson and Daniel Weiss of the\nMalaria Atlas Project (Big Data Institute, University of Oxford,\nUnited Kingdom, \u003chttps://malariaatlas.org/\u003e).\n\n### Bands\n\n\n**Pixel Size**\n\n5000 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|--------------------|-------|----------|---------|------------|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| `Mean` | °C | -74.03\\* | 63.87\\* | meters | The mean value of daytime land surface temperature for each aggregated pixel. |\n| `FilledProportion` | % | 0\\* | 100\\* | meters | A quality control band that indicates the percentage of each resulting pixel that was comprised of raw data (as opposed to gap-filled estimates). |\n\n\\* estimated min or max value\n\n### Terms 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\n### Citations\n\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\n### Explore with Earth Engine\n\n| **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\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('Oxford/MAP/LST_Day_5km_Monthly')\n .filter(ee.Filter.date('2015-01-01', '2015-12-31'));\nvar daytimeLandSurfaceTemp = dataset.select('Mean');\nvar visParams = {\n min: -20.0,\n max: 50.0,\n palette: [\n '800080', '0000ab', '0000ff', '008000', '19ff2b', 'a8f7ff', 'ffff00',\n 'd6d600', 'ffa500', 'ff6b01', 'ff0000'\n ],\n};\nMap.setCenter(-88.6, 26.4, 1);\nMap.addLayer(\n daytimeLandSurfaceTemp, visParams, 'Daytime Land Surface Temperature');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/Oxford/Oxford_MAP_LST_Day_5km_Monthly) \n[Oxford MAP LST: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature](/earth-engine/datasets/catalog/Oxford_MAP_LST_Day_5km_Monthly) \nThe underlying dataset for this daytime product is MODIS land surface temperature data (MOD11A2), 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 ... \nOxford/MAP/LST_Day_5km_Monthly, climate,lst,map,oxford,surface-temperature \n2001-03-01T00:00:00Z/2015-06-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.bdi.ox.ac.uk/research/malaria-atlas-project)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/Oxford_MAP_LST_Day_5km_Monthly)"]]
