![USGS/LIMA/SR_METADATA](https://developers.google.com/earth-engine/datasets/images/USGS/USGS_LIMA_SR_METADATA_sample.png)

Dataset Availability
:   1999-06-30T00:00:00Z--2002-09-04T00:00:00Z

Dataset Producer
:


    [USGS](https://lima.usgs.gov/index.php)

Tags
:
    [antarctica](https://developers.google.com/earth-engine/datasets/tags/antarctica) [ice](https://developers.google.com/earth-engine/datasets/tags/ice) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [lima](https://developers.google.com/earth-engine/datasets/tags/lima) [mosaic](https://developers.google.com/earth-engine/datasets/tags/mosaic) [satellite-imagery](https://developers.google.com/earth-engine/datasets/tags/satellite-imagery) [sr](https://developers.google.com/earth-engine/datasets/tags/sr) [table](https://developers.google.com/earth-engine/datasets/tags/table) [usgs](https://developers.google.com/earth-engine/datasets/tags/usgs)

#### Description

The Landsat Image Mosaic of Antarctica (LIMA) is a seamless
and virtually cloudless mosaic created from processed
Landsat 7 ETM+ scenes.

Processed Landsat Scenes (16 bit) are Level 1Gt NLAPS
scenes converted to 16 bit, processed with sun-angle
correction, and converted to reflectance values
([Bindschadler 2008](https://lima.usgs.gov/LIMA_paper.pdf)).

Each Landsat scene is processed with elevation
data and sun-angle correction to ensure surface features
were accurately represented. The sun's angle in Antarctica
gives the appearance of a setting sun. Because of the low
sun angle, as Landsat passes over Antarctica, the outer
edges of the continent appear brighter than areas closer
to the South Pole, so scenes have bright and dark areas.
Inconsistent sun angles and shadows where corrected for
these scenes. Without this process, mosaicking would produce
a patchwork of scenes since each scene would have a brighter
and a darker side.

This is a table which contains metadata for the Image Collection
[USGS/LIMA/SR](https://developers.google.com/earth-engine/datasets/catalog/USGS_LIMA_SR)

### Table Schema

**Table Schema**

| Name | Type | Description |
|---|---|---|
| ACQ_DATE | STRING | Acquisition date in YYYY-MM-DD format |
| PATH | INT | WRS path |
| POLY_ID | INT | Unique ID assigned to a polygon |
| ROW | INT | WRS row |
| SCENE_ID | STRING | Scene ID |
| SENSOR | STRING | Sensor |
| SPACE | STRING | Name of the satellite used to gather data |

### Terms of Use

**Terms of Use**

These images are in the public domain and can be used freely
and without acknowledgement. However, credit to the Landsat
Image Mosaic of Antarctica (LIMA) Project is greatly appreciated.

### Citations

Citations:

- Bindschadler, R., Vornberger, P., Fleming, A., Fox, A., Mullins, J.,
  Binnie, D., Paulson, S., Granneman, B., and Gorodetzky, D., 2008,
  The Landsat Image Mosaic of Antarctica, Remote Sensing of
  Environment, 112, pp. 4214-4226.
  [PDF](https://lima.usgs.gov/LIMA_paper.pdf)

### Explore with Earth Engine

> [!NOTE]
> **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)

### Code Editor (JavaScript)

```javascript
var dataset = ee.FeatureCollection('USGS/LIMA/SR_METADATA');

// Calculate the age of each feature by subtracting
// the acquisition date from "today".
var feature_ages = dataset.map(
  function(feature) {
    var today = ee.Date.fromYMD(2024, 1, 12);
    var acq_date = ee.Date.parse(
      'yyyy-MM-dd', feature.get('ACQ_DATE'));
    var diff = today.difference(acq_date, 'day');
    return feature.set({'ACQ_AGE': diff});
  }
);

// Reduce by calculating the smallest ACQ_AGE,
// which gives the most recent acquisition date for
// that area.
var reduced_ages = feature_ages.reduceToImage({
  properties: ['ACQ_AGE'],
  reducer: ee.Reducer.min()
});

var reduced_ages_vis = {
  min: 6000,
  max: 9000,
  palette: ['00ff00', 'ff0000'],
};

var lon = -43.6;
var lat = -74.2;
var gray = 150;
var background = ee.Image.rgb(gray, gray, gray).visualize({min: 0, max: 255});

Map.setCenter(lon, lat, 2);
Map.addLayer(
  reduced_ages,
  reduced_ages_vis,
  'Acquisition Age');
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/USGS/USGS_LIMA_SR_METADATA) [Landsat Image Mosaic of Antarctica (LIMA) - Processed Landsat Scenes (16 bit) Metadata](https://developers.google.com/earth-engine/datasets/catalog/USGS_LIMA_SR_METADATA) The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. Processed Landsat Scenes (16 bit) are Level 1Gt NLAPS scenes converted to 16 bit, processed with sun-angle correction, and converted to reflectance values (Bindschadler 2008). Each Landsat scene is ... USGS/LIMA/SR_METADATA, antarctica,ice,landsat-derived,lima,mosaic,satellite-imagery,sr,table,usgs 1999-06-30T00:00:00Z/2002-09-04T00:00:00Z -90 -180 -55 180 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [](https://doi.org/https://lima.usgs.gov/index.php)
- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/USGS_LIMA_SR_METADATA)