इस बेहतर वनस्पति सूचकांक (ईवीआई) प्रॉडक्ट के लिए, MODIS BRDF-corrected imagery (MCD43B4) का इस्तेमाल किया गया है. इसमें, Weiss et al. (2014) में बताए गए तरीके का इस्तेमाल करके, बादलों की वजह से छूटे हुए डेटा को भरा गया है. डेटा में मौजूद अंतर को भरने के बाद, मान्य वैल्यू पक्का करने के लिए डेटा को [0, 1] की थ्रेशोल्ड वैल्यू के हिसाब से काटा गया.
इसके बाद, हर आठ दिन में ~1 कि॰मी॰ के रिज़ॉल्यूशन पर तैयार किए गए डेटा को समय के हिसाब से इकट्ठा किया जाता है, ताकि महीने और साल के हिसाब से प्रॉडक्ट तैयार किए जा सकें.
बैंड
पिक्सल का साइज़ 5,000 मीटर
बैंड
नाम
कम से कम
ज़्यादा से ज़्यादा
पिक्सल का साइज़
ब्यौरा
Mean
0*
1*
मीटर
हर एग्रीगेट किए गए पिक्सल के लिए, बेहतर वनस्पति सूचकांक की औसत वैल्यू.
इस बेहतर वनस्पति सूचकांक (ईवीआई) प्रॉडक्ट के लिए, एमओडीआईएस बीआरडीएफ़-करेक्टेड इमेज (MCD43B4) का इस्तेमाल किया गया है. इसमें, Weiss et al. (2014) में बताए गए तरीके का इस्तेमाल करके, बादलों की वजह से छूटे हुए डेटा को भरा गया है. डेटा में मौजूद अंतर को भरने के बाद, डेटा को [0, 1] की थ्रेशोल्ड वैल्यू के हिसाब से काटा गया, ताकि …
[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)"]]
