OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) V1

Dataset Availability

2023-01-01T00:00:00Z–2025-01-01T00:00:00Z

Dataset Producer

NASA JPL

Earth Engine Snippet

ee.ImageCollection("OPERA/DIST/L3_DIST-ANN-HLS/V1")

Tags

disturbance forest forest-biomass geophysical landsat-derived nasa opera sentinel2-derived vegetation

Description

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) product Version 1 summarizes the DIST-ALERT data product into an annual vegetation disturbance data product.

The DIST-ANN-HLS product provides annual metrics and classifications of vegetation disturbance detected from Harmonized Landsat-8/9 and Sentinel-2A/B (HLS) surface reflectance data at 30-meter resolution. Disturbances include abrupt events such as wildfire, logging, and clearing, as well as ongoing or longer-term changes. The product includes both vegetation-specific disturbance metrics (VEG) and generic disturbance metrics (GEN) across 21 raster layers.

Documentation:

• DIST Product Suite Website
• OPERA DIST-HLS Product Specification Document
• OPERA DIST-HLS Algorithm Theoretical Basis Document
• NASA Earthdata Search
• Publication: Rapid monitoring of global land change

Bands

Bands

Pixel size: 30 meters (all bands)

Name	Units	Pixel Size	Description
VEG-DIST-STATUS		30 meters	Status of vegetation disturbance within the calendar year.
VEG-ANOM-MAX	%	30 meters	Maximum vegetation loss anomaly observed during the year.
VEG-DIST-DATE	d	30 meters	Day of initial vegetation disturbance detection, denoted as the number of days since December 31, 2020.
VEG-DIST-DUR	d	30 meters	Duration of reported vegetation disturbance event in days.
VEG-DIST-CONF		30 meters	Confidence level of vegetation disturbance detection.
VEG-DIST-COUNT	count	30 meters	Count of observations with detected vegetation loss for the reported event.
VEG-CONF-PREV		30 meters	Reported vegetation loss alert from previous year confirmed in current year.
VEG-CONF-COUNT	count	30 meters	Count of separate vegetation disturbance events during the calendar year.
VEG-LAST-DATE	d	30 meters	Day of last observation for vegetation disturbance monitoring, denoted as the number of days since December 31, 2020.
VEG-HIST	%	30 meters	Vegetation cover percent of baseline at time of maximum anomaly (0-100%, 200 = no disturbance).
VEG-IND-MAX	%	30 meters	Maximum estimated vegetation cover, with disturbance areas having the vegetation cover from the date of maximum anomaly (0-100%).
VEG-IND-3YR-MIN	%	30 meters	Minimum vegetation cover percent over the current and previous two years.
GEN-DIST-STATUS		30 meters	Status of generic spectral disturbance within the calendar year.
GEN-ANOM-MAX		30 meters	Maximum generic spectral anomaly observed during the year.
GEN-DIST-DATE	d	30 meters	Day of initial generic disturbance detection, denoted as the number of days since December 31, 2020.
GEN-DIST-DUR	d	30 meters	Duration of reported generic disturbance event in days.
GEN-DIST-CONF		30 meters	Confidence level of generic disturbance detection.
GEN-DIST-COUNT	count	30 meters	Count of observations with detected generic disturbance for the reported event.
GEN-CONF-PREV		30 meters	Reported generic disturbance alert from previous year confirmed in current year.
GEN-CONF-COUNT	count	30 meters	Count of separate generic disturbance events during the calendar year.
GEN-LAST-DATE	d	30 meters	Day of last observation for generic disturbance monitoring, denoted as the number of days since December 31, 2020.

VEG-DIST-STATUS Class Table

Value	Color	Description
0	#121212	No disturbance detected
3	#dee043	Confirmed <50% ongoing disturbance
6	#e01b07	Confirmed >=50% ongoing disturbance
7	#777777	Confirmed <50% finished disturbance
8	#dddddd	Confirmed >=50% finished disturbance
9	#333333	Confirmed <50% disturbance from previous year
10	#444444	Confirmed >=50% disturbance from previous year

VEG-CONF-PREV Class Table

Value	Color	Description
0	#121212	No disturbance
1	#d7ccc8	Confirmed low previous year
2	#8d6e63	Confirmed high previous year

GEN-DIST-STATUS Class Table

Value	Color	Description
0	#121212	No disturbance detected
3	#dee043	Confirmed <50% ongoing disturbance
6	#e01b07	Confirmed >=50% ongoing disturbance
7	#777777	Confirmed <50% finished disturbance
8	#dddddd	Confirmed >=50% finished disturbance
9	#333333	Confirmed <50% disturbance from previous year
10	#444444	Confirmed >=50% disturbance from previous year

GEN-CONF-PREV Class Table

Value	Color	Description
0	#121212	No disturbance
1	#d7ccc8	Confirmed low previous year
2	#8d6e63	Confirmed high previous year

Image Properties

Image Properties

Name	Type	Description
Percent_data	DOUBLE	Percentage of valid data pixels within the granule tile footprint.

Terms of Use

Terms of Use

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance

Citations

Citations:

• Hansen, M. (2024). OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 product (Version 1) [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/SNWG/OPERA_L3_DIST-ANN-HLS_V1.001

  Pickens, A. H., Hansen, M. C., Song, Z., Poulson, A., Komarova, A., Baggett, A., Kerr, T., Mikus, A., Dominguez, C. O., Tyukavina, A., & Lima, A. (2025). Rapid monitoring of global land change. Nature Communications, 16, 8820. https://doi.org/10.1038/s41467-025-64014-9

DOIs

• https://doi.org/10.1038/s41467-025-64014-9
• https://doi.org/10.5067/SNWG/OPERA_L3_DIST-ANN-HLS_V1.001

Explore 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.

Code Editor (JavaScript)

var dataset = ee.ImageCollection('OPERA/DIST/L3_DIST-ANN-HLS/V1')
    .filterDate('2025-01-01', '2026-01-01');

var dist = dataset.select('VEG-DIST-STATUS').mosaic();

Map.setCenter(29.81, 2.02, 11);

var statusVis = {
  min: 0,
  max: 10,
  palette: [
    '121212', // 0: No disturbance detected (dark)
    '000000', // Not used
    '000000', // Not used
    'dee043', // 3: Confirmed <50% ongoing disturbance (yellow)
    '000000', // Not used
    '000000', // Not used
    'e01b07', // 6: Confirmed >=50% ongoing disturbance (red)
    '777777', // 7: Confirmed <50% finished disturbance (gray)
    'dddddd', // 8: Confirmed >=50% finished disturbance (very light gray)
    '333333', // 9: Confirmed <50% disturbance from previous year (darkest gray)
    '444444', // 10: Confirmed >=50% disturbance from previous year (dark gray)
  ],
};

Map.addLayer(dist, statusVis, 'Vegetation Disturbance Status');

Open in Code Editor

OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) V1

The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 (DIST-ANN-HLS) product Version 1 summarizes the DIST-ALERT data product into an annual vegetation disturbance data product. The DIST-ANN-HLS product provides annual metrics and classifications of vegetation disturbance detected from Harmonized Landsat-8/9 and …

OPERA/DIST/L3_DIST-ANN-HLS/V1, disturbance,forest,forest-biomass,geophysical,landsat-derived,nasa,opera,sentinel2-derived,vegetation

2023-01-01T00:00:00Z/2025-01-01T00:00:00Z

-84 -180 84 180

Google Earth Engine

https://developers.google.com/earth-engine/datasets

• https://doi.org/10.5067/SNWG/OPERA_L3_DIST-ANN-HLS_V1.001
• https://doi.org/10.5067/SNWG/OPERA_L3_DIST-ANN-HLS_V1.001