L'ensemble de données sous-jacent de ce produit EVI (Enhanced Vegetation Index) est constitué d'images MODIS corrigées par BRDF (MCD43B4), dont les lacunes ont été comblées à l'aide de l'approche décrite dans Weiss et al. (2014) pour éliminer les données manquantes causées par des facteurs tels que la couverture nuageuse. Après avoir comblé les lacunes, les données ont été écrêtées aux seuils [0, 1] pour garantir des valeurs valides.
Les sorties de ~1 km tous les huit jours, pour lesquelles les données manquantes ont été complétées, sont ensuite agrégées de manière temporelle pour produire des produits mensuels et annuels.
Bracelets
Taille des pixels 5 000 mètres
Bandes de fréquences
Nom
Min
Max
Taille des pixels
Description
Mean
0*
1*
mètres
Valeur moyenne de l'indice de végétation amélioré pour chaque pixel agrégé.
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
L'ensemble de données sous-jacent de ce produit Enhanced Vegetation Index (EVI) est constitué d'images MODIS corrigées par BRDF (MCD43B4), qui ont été complétées à l'aide de l'approche décrite dans Weiss et al. (2014) pour éliminer les données manquantes causées par des facteurs tels que la couverture nuageuse. Après le remplissage des données manquantes, les données ont été écrêtées aux seuils [0, 1] pour …
[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: 2001-02-01T00:00:00Z--2024-12-01T00:00:00Z\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: 1 Month\n\nTags\n:\n[evi](/earth-engine/datasets/tags/evi) [malariaatlasproject](/earth-engine/datasets/tags/malariaatlasproject) [map](/earth-engine/datasets/tags/map) [publisher-dataset](/earth-engine/datasets/tags/publisher-dataset) [vegetation](/earth-engine/datasets/tags/vegetation) [vegetation-indices](/earth-engine/datasets/tags/vegetation-indices) \n\nDescription \nThe underlying dataset for this Enhanced Vegetation Index (EVI)\nproduct is MODIS BRDF-corrected imagery (MCD43B4), which was gap-filled\nusing the approach outlined in Weiss et al. (2014) to eliminate missing\ndata caused by factors such as cloud cover. After gap-filling the data was clipped to thresholds of \\[0, 1\\] 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` | 0\\* | 1\\* | meters | The mean value of the Enhanced Vegetation Index 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/EVI_v061/1km/Monthly')\n .filter(ee.Filter.date('2022-01-01', '2022-12-31'));\nvar means = dataset.select('Mean');\nvar visParams = {\n min: 0.0,\n max: 1.0,\n palette: ['ffffff','fcd163','99b718','66a000','3e8601','207401','056201','004c00','011301'],\n};\nMap.setCenter(0, 0, 2);\nMap.addLayer(means, visParams, 'Monthly EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly) \n[EVI: Malaria Atlas Project Gap-Filled Enhanced Vegetation Index (Monthly 1km)](/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly) \nThe 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 thresholds of \\[0, 1\\] to ... \nprojects/malariaatlasproject/assets/EVI_v061/1km/Monthly, evi,malariaatlasproject,map,publisher-dataset,vegetation,vegetation-indices \n2001-02-01T00:00:00Z/2024-12-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.malariaatlas.org)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/projects_malariaatlasproject_assets_EVI_v061_1km_Monthly)"]]
