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daily deforestation forest forma gfw modis monitoring wri


NOTE 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 using a combination of two MODIS products: NDVI (Normalized Difference Vegetation Index) and FIRMS (Fires Information for Resource Management System). NDVI updates are processed every 16 days, while fire updates are processed daily. Models are developed individually for each ecogroup to relate the two inputs to the area of clearing, using the Hansen annual tree cover loss data to train the model. The minimum threshold to qualify as an alert is 25% of the pixel cleared, though thresholds vary by ecogroup to minimize false positives. Here is an example script for a quick introduction to the FORMA datasets.

The images in this ImageCollection contain the raw FORMA data calculated after new MODIS NDVI data becomes available, approximately every 16 days.

The image contains 4 bands. The 'delta', 'near_term_delta', and 'clearing' bands all give a percentage of clearing (from 0 to 100) for different accumulation periods. Accuracy gives a measure of confidence in these predictions (0 = very little confidence, 100 is high confidence).


250 meters


Name Units Min Max Description
delta % 0 100

Percentage of clearing in the last 96 days

near_term_delta % 0 100

Percentage of clearing in the last 32 days

accuracy % 0 100

Confidence in predictions

clearing % 0 100

Percentage of clearing in the last 365 days

Image Properties

Image Properties

Name Type Description
year INT

Year of the most recent data included in the dataset

biweekly INT

The biweekly (every 16 days) period of the year


Date, in "YYYY-MM-DD" format, of the last MODIS NDVI data included in this dataset

Terms of Use

Terms of Use

The FORMA datasets are available without restriction on use or distribution. WRI does request that the user give proper attribution and identify WRI and GFW, where applicable, as the source of the data.

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('WRI/GFW/FORMA/raw_output_ndvi')
                  .filter('2018-01-01', '2018-01-02'));
var percentOfClearing ='clearing');
var visParams = {
  min: 0,
  max: 1,
Map.setCenter(26, -8, 3);
    percentOfClearing, visParams, 'Percent of clearing in the last 365 days');
Open in Code Editor