[null,null,[],[[["\u003cp\u003eThe FORMA dataset provides near real-time deforestation alerts using MODIS NDVI and FIRMS data, highlighting forest clearing percentages over different time periods (32, 96, and 365 days).\u003c/p\u003e\n"],["\u003cp\u003eWRI has discontinued FORMA updates in favor of Terra-i and GLAD, citing redundancy and performance comparisons.\u003c/p\u003e\n"],["\u003cp\u003eDespite being outdated, FORMA data (spanning from 2012 to 2019) remains available for research and analysis through Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes bands representing clearing percentages, confidence in predictions, and relevant time information (year, biweekly period, and date).\u003c/p\u003e\n"],["\u003cp\u003eFORMA alerts are triggered when clearing exceeds 25% of a pixel, although this threshold may vary depending on the specific ecological group to minimize false positives.\u003c/p\u003e\n"]]],[],null,["# FORMA Raw Output NDVI\n\nDataset Availability\n: 2012-01-01T00:00:00Z--2019-04-23T00:00:00Z\n\nDataset Provider\n:\n\n\n [World Resources Institute / Global Forest Watch](https://www.globalforestwatch.org/)\n\nTags\n:\n[daily](/earth-engine/datasets/tags/daily) [deforestation](/earth-engine/datasets/tags/deforestation) [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [forma](/earth-engine/datasets/tags/forma) [gfw](/earth-engine/datasets/tags/gfw) [modis](/earth-engine/datasets/tags/modis) [monitoring](/earth-engine/datasets/tags/monitoring) [wri](/earth-engine/datasets/tags/wri) \n\n#### Description\n\n**NOTE from WRI** : WRI decided to stop updating FORMA alerts. The goal was\nto simplify the [Global Forest Watch](https://www.globalforestwatch.org)\nuser experience and reduce redundancy.\nWe found that [Terra-i](http://www.terra-i.org/terra-i.html) and\n[GLAD](https://glad-forest-alert.appspot.com/) were more frequently used.\nMoreover, using GLAD as a standard, found that Terra-i outperformed\nFORMA globally.\n\nFORMA alerts are detected using a combination of two MODIS\nproducts: NDVI (Normalized Difference Vegetation Index) and FIRMS\n(Fires Information for Resource Management System). NDVI updates are\nprocessed every 16 days, while fire updates are processed daily. Models\nare developed individually for each ecogroup to relate the two inputs to\nthe area of clearing, using the Hansen annual tree cover loss data to train\nthe model. The minimum threshold to qualify as an alert is 25% of the pixel\ncleared, though thresholds vary by ecogroup to minimize false positives.\nHere is an [example script](https://code.earthengine.google.com/f29b1e4360f3fc36847bd789ceeb20f6)\nfor a quick introduction to the FORMA datasets.\n\nThe images in this ImageCollection contain the raw FORMA data calculated after new\nMODIS NDVI data becomes available, approximately every 16 days.\n\nThe image contains 4 bands. The 'delta', 'near_term_delta', and 'clearing' bands\nall give a percentage of clearing (from 0 to 100) for different accumulation periods.\nAccuracy gives a measure of confidence in these predictions\n(0 = very little confidence, 100 is high confidence).\n\n### Bands\n\n\n**Pixel Size**\n\n250 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|-------------------|-------|-----|-----|------------|---------------------------------------------|\n| `delta` | % | 0 | 100 | meters | Percentage of clearing in the last 96 days |\n| `near_term_delta` | % | 0 | 100 | meters | Percentage of clearing in the last 32 days |\n| `accuracy` | % | 0 | 100 | meters | Confidence in predictions |\n| `clearing` | % | 0 | 100 | meters | Percentage of clearing in the last 365 days |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|----------|--------|------------------------------------------------------------------------------------|\n| year | INT | Year of the most recent data included in the dataset |\n| biweekly | INT | The biweekly (every 16 days) period of the year |\n| date | STRING | Date, in \"YYYY-MM-DD\" format, of the last MODIS NDVI data included in this dataset |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe FORMA datasets are available without restriction\non use or distribution. WRI does request that the\nuser give proper attribution and identify WRI and GFW, where applicable,\nas the source of the data.\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('WRI/GFW/FORMA/raw_output_ndvi')\n .filter(ee.Filter.date('2018-01-01', '2018-01-02'));\nvar percentOfClearing = dataset.select('clearing');\nvar visParams = {\n min: 0,\n max: 1,\n};\nMap.setCenter(26, -8, 3);\nMap.addLayer(\n percentOfClearing, visParams, 'Percent of clearing in the last 365 days');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WRI/WRI_GFW_FORMA_raw_output_ndvi) \n[FORMA Raw Output NDVI](/earth-engine/datasets/catalog/WRI_GFW_FORMA_raw_output_ndvi) \nNOTE from WRI: WRI decided to stop updating FORMA alerts. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. We found that Terra-i and GLAD were more frequently used. Moreover, using GLAD as a standard, found that Terra-i outperformed FORMA globally. FORMA alerts are detected ... \nWRI/GFW/FORMA/raw_output_ndvi, daily,deforestation,forest,forest-biomass,forma,gfw,modis,monitoring,wri \n2012-01-01T00:00:00Z/2019-04-23T00:00:00Z \n-50 -120 40 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.globalforestwatch.org/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WRI_GFW_FORMA_raw_output_ndvi)"]]