Page Summary
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This dataset contains gap-filled Enhanced Vegetation Index (EVI) derived from MODIS BRDF-corrected imagery.
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The gap-filling process, based on the approach in Weiss et al.(2014), removes missing data caused by factors like cloud cover.
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Included are gap-filled Daytime and Nighttime Land Surface Temperature (LST) data derived from MODIS MOD11A2 products.
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The dataset also provides gap-filled Tasseled Cap Brightness (TCB) and Tasseled Cap Wetness (TCW) derived from MODIS BRDF-corrected imagery.
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All datasets are available at a 1km resolution and in 8-Daily, Monthly, and Annual temporal aggregations.
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EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (8-Daily 1km)
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. After gap-filling the data was clipped to … evi malariaatlasproject map publisher-dataset vegetation vegetation-indices -
EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Annual 1km)
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. After gap-filling the data was clipped to … evi malariaatlasproject map publisher-dataset vegetation vegetation-indices -
EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Monthly 1km)
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. After gap-filling the data was clipped to … evi malariaatlasproject map publisher-dataset vegetation vegetation-indices -
LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (8-Daily 1km)
Daytime 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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (Annual 1km)
Daytime 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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Day: Malaria Atlas Project Gap-Filled Daytime Land Surface Temperature (Monthly 1km)
Daytime 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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (8-Daily 1km)
Nighttime 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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (Annual 1km)
Nighttime 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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
LST Night: Malaria Atlas Project Gap-Filled Nighttime Land Surface Temperature (Monthly 1km)
Nighttime 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. … climate lst malariaatlasproject map publisher-dataset surface-temperature -
Malaria Atlas Project Accessibility to Cities 2015
This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-populated areas are defined as contiguous areas with 1,500 or more inhabitants per square kilometer or … accessibility malariaatlasproject map population publisher-dataset -
Malaria Atlas Project Accessibility to Healthcare 2019
This global accessibility map enumerates land-based travel time (in minutes) to the nearest hospital or clinic for all areas between 85 degrees north and 60 degrees south for a nominal year 2019. Major data collection efforts underway by OpenStreetMap, Google Maps, and academic researchers have … accessibility malariaatlasproject map population publisher-dataset -
Malaria Atlas Project Accessibility to Healthcare 2019 (Walking Only)
This global accessibility map enumerates land-based travel time (in minutes) to the nearest hospital or clinic for all areas between 85 degrees north and 60 degrees south for a nominal year 2019. This surface is based on "walking-only" travel time, using non-motorized means of transportation … accessibility malariaatlasproject map population publisher-dataset -
Malaria Atlas Project Global Friction Surface 2015
Friction Surface 2019". This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2015. This map was produced through a collaboration between the University of Oxford Malaria Atlas Project (MAP), Google, … accessibility malariaatlasproject map population publisher-dataset -
Malaria Atlas Project Global Friction Surface 2019
This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2019. This map was produced through a collaboration between MAP (University of Oxford), Telethon Kids Institute (Perth, Australia), Google, and the … accessibility malariaatlasproject map population publisher-dataset -
Malaria Atlas Project Global Friction Surface 2019 (Walking Only)
This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2019. This surface is based on "walking-only" travel speed, using non-motorized means of transportation only. This map was produced through a … accessibility malariaatlasproject map population publisher-dataset -
TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (8-Daily 1km)
This gap-filled Tasseled Cap Brightness (TCB) 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 … brightness malariaatlasproject map publisher-dataset tasseled-cap tcb -
TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Annual 1km)
This gap-filled Tasseled Cap Brightness (TCB) 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 … brightness malariaatlasproject map publisher-dataset tasseled-cap tcb -
TCB: Malaria Atlas Project Gap-Filled Tasseled Cap Brightness (Monthly 1km)
This gap-filled Tasseled Cap Brightness (TCB) 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 … brightness malariaatlasproject map publisher-dataset tasseled-cap tcb -
TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (8-Daily 1km)
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 … malariaatlasproject map publisher-dataset tasseled-cap tcw vegetation -
TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Annual 1km)
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 … malariaatlasproject map publisher-dataset tasseled-cap tcw vegetation -
TCW: Malaria Atlas Project Gap-Filled Tasseled Cap Wetness (Monthly 1km)
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 … malariaatlasproject map publisher-dataset tasseled-cap tcw vegetation