Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2002-04-02 11:05:16	ga_ls7e_ard_3-1-0_109081_2002-04-02_final
2002-04-02 11:05:40	ga_ls7e_ard_3-0-0_109082_2002-04-02_final
2002-04-02 11:06:04	ga_ls7e_ard_3-0-0_109083_2002-04-02_final
2002-04-02 11:06:28	ga_ls7e_ard_3-0-0_109084_2002-04-02_final
2002-05-04 11:05:22	ga_ls7e_ard_3-1-0_109081_2002-05-04_final
2002-05-04 11:05:46	ga_ls7e_ard_3-0-0_109082_2002-05-04_final
2002-05-04 11:06:10	ga_ls7e_ard_3-0-0_109083_2002-05-04_final
2002-05-04 11:06:34	ga_ls7e_ard_3-0-0_109084_2002-05-04_final
2002-05-09 11:18:18	ga_ls7e_ard_3-0-0_112067_2002-05-09_final
2002-05-27 11:09:44	ga_ls7e_ard_3-0-0_110077_2002-05-27_final
2002-05-27 11:10:32	ga_ls7e_ard_3-0-0_110079_2002-05-27_final
2002-05-27 11:10:56	ga_ls7e_ard_3-0-0_110080_2002-05-27_final
2002-05-27 11:11:20	ga_ls7e_ard_3-0-0_110081_2002-05-27_final
2002-08-15 11:09:16	ga_ls7e_ard_3-0-0_110077_2002-08-15_final
2002-08-15 11:09:40	ga_ls7e_ard_3-0-0_110078_2002-08-15_final
2002-08-15 11:10:04	ga_ls7e_ard_3-0-0_110079_2002-08-15_final
2002-09-07 11:13:16	ga_ls7e_ard_3-0-0_111072_2002-09-07_final
2002-09-07 11:13:40	ga_ls7e_ard_3-0-0_111073_2002-09-07_final
2002-09-07 11:14:04	ga_ls7e_ard_3-0-0_111074_2002-09-07_final
2002-09-07 11:14:28	ga_ls7e_ard_3-0-0_111075_2002-09-07_final
2002-09-07 11:14:52	ga_ls7e_ard_3-0-0_111076_2002-09-07_final
2002-09-07 11:15:16	ga_ls7e_ard_3-0-0_111077_2002-09-07_final
2002-09-07 11:15:39	ga_ls7e_ard_3-0-0_111078_2002-09-07_final
2018-07-15 11:34:47	ga_ls7e_ard_3-0-0_113067_2018-07-15_final
2018-07-17 11:24:23	ga_ls7e_ard_3-0-0_111072_2018-07-17_final
2018-07-17 11:24:47	ga_ls7e_ard_3-0-0_111073_2018-07-17_final
2018-07-17 11:25:11	ga_ls7e_ard_3-0-0_111074_2018-07-17_final
2018-07-17 11:25:35	ga_ls7e_ard_3-0-0_111075_2018-07-17_final
2018-07-17 11:25:59	ga_ls7e_ard_3-0-0_111076_2018-07-17_final
2018-07-17 11:26:22	ga_ls7e_ard_3-0-0_111077_2018-07-17_final
2018-07-17 11:26:46	ga_ls7e_ard_3-0-0_111078_2018-07-17_final
2018-07-19 11:15:35	ga_ls7e_ard_3-1-0_109081_2018-07-19_final
2018-07-19 11:15:59	ga_ls7e_ard_3-0-0_109082_2018-07-19_final
2018-07-19 11:16:22	ga_ls7e_ard_3-0-0_109083_2018-07-19_final
2018-07-19 11:16:46	ga_ls7e_ard_3-0-0_109084_2018-07-19_final
2018-07-31 11:34:30	ga_ls7e_ard_3-0-0_113067_2018-07-31_final
2018-08-02 11:24:06	ga_ls7e_ard_3-0-0_111072_2018-08-02_final
2018-08-02 11:24:30	ga_ls7e_ard_3-0-0_111073_2018-08-02_final
2018-08-02 11:24:54	ga_ls7e_ard_3-0-0_111074_2018-08-02_final
2018-08-02 11:25:18	ga_ls7e_ard_3-0-0_111075_2018-08-02_final
2018-08-02 11:25:42	ga_ls7e_ard_3-0-0_111076_2018-08-02_final
2018-08-02 11:26:06	ga_ls7e_ard_3-0-0_111077_2018-08-02_final
2018-08-02 11:26:30	ga_ls7e_ard_3-0-0_111078_2018-08-02_final
2018-08-04 11:15:18	ga_ls7e_ard_3-1-0_109081_2018-08-04_final
2018-08-04 11:15:42	ga_ls7e_ard_3-0-0_109082_2018-08-04_final
2018-08-04 11:16:06	ga_ls7e_ard_3-0-0_109083_2018-08-04_final
2018-08-04 11:16:30	ga_ls7e_ard_3-0-0_109084_2018-08-04_final
2018-08-09 11:30:57	ga_ls7e_ard_3-0-0_112074_2018-08-09_final
2018-09-03 11:23:28	ga_ls7e_ard_3-0-0_111072_2018-09-03_final
2018-09-03 11:23:52	ga_ls7e_ard_3-0-0_111073_2018-09-03_final
2018-09-03 11:24:16	ga_ls7e_ard_3-0-0_111074_2018-09-03_final
2018-09-03 11:24:40	ga_ls7e_ard_3-0-0_111075_2018-09-03_final
2018-09-03 11:25:04	ga_ls7e_ard_3-0-0_111076_2018-09-03_final
2018-09-03 11:25:28	ga_ls7e_ard_3-0-0_111077_2018-09-03_final
2018-09-03 11:25:52	ga_ls7e_ard_3-0-0_111078_2018-09-03_final
2018-09-26 11:29:56	ga_ls7e_ard_3-0-0_112074_2018-09-26_final
2018-09-28 11:18:43	ga_ls7e_ard_3-0-0_110077_2018-09-28_final
2018-09-28 11:19:07	ga_ls7e_ard_3-0-0_110078_2018-09-28_final
2018-09-28 11:19:31	ga_ls7e_ard_3-0-0_110079_2018-09-28_final
2018-09-28 11:19:55	ga_ls7e_ard_3-0-0_110080_2018-09-28_final
2018-09-28 11:20:19	ga_ls7e_ard_3-0-0_110081_2018-09-28_final
2018-09-28 11:20:43	ga_ls7e_ard_3-0-0_110082_2018-09-28_final
2018-10-05 11:22:44	ga_ls7e_ard_3-0-0_111072_2018-10-05_final
2018-10-05 11:23:08	ga_ls7e_ard_3-0-0_111073_2018-10-05_final
2018-10-05 11:23:32	ga_ls7e_ard_3-0-0_111074_2018-10-05_final
2018-10-05 11:23:56	ga_ls7e_ard_3-0-0_111075_2018-10-05_final
2018-10-05 11:24:20	ga_ls7e_ard_3-0-0_111076_2018-10-05_final
2018-10-05 11:24:44	ga_ls7e_ard_3-0-0_111077_2018-10-05_final
2018-10-05 11:25:08	ga_ls7e_ard_3-0-0_111078_2018-10-05_final
2018-10-07 11:14:19	ga_ls7e_ard_3-0-0_109082_2018-10-07_final
2019-01-07 11:30:42	ga_ls7e_ard_3-0-0_113067_2019-01-07_final
2019-01-09 11:20:16	ga_ls7e_ard_3-0-0_111072_2019-01-09_final
2019-01-09 11:20:40	ga_ls7e_ard_3-0-0_111073_2019-01-09_final
2019-01-09 11:21:04	ga_ls7e_ard_3-0-0_111074_2019-01-09_final
2019-01-09 11:21:28	ga_ls7e_ard_3-0-0_111075_2019-01-09_final
2019-01-09 11:21:52	ga_ls7e_ard_3-0-0_111076_2019-01-09_final
2019-01-09 11:22:16	ga_ls7e_ard_3-0-0_111077_2019-01-09_final
2019-01-09 11:22:40	ga_ls7e_ard_3-0-0_111078_2019-01-09_final
2019-01-11 11:11:26	ga_ls7e_ard_3-1-0_109081_2019-01-11_final
2019-01-11 11:11:50	ga_ls7e_ard_3-0-0_109082_2019-01-11_final
2019-01-11 11:12:14	ga_ls7e_ard_3-0-0_109083_2019-01-11_final
2019-01-11 11:12:38	ga_ls7e_ard_3-0-0_109084_2019-01-11_final
2019-01-25 11:20:33	ga_ls7e_ard_3-0-0_111074_2019-01-25_final
2019-01-25 11:20:57	ga_ls7e_ard_3-0-0_111075_2019-01-25_final
2019-01-25 11:21:21	ga_ls7e_ard_3-0-0_111076_2019-01-25_final
2019-01-25 11:22:09	ga_ls7e_ard_3-0-0_111078_2019-01-25_final
2019-01-27 11:10:55	ga_ls7e_ard_3-1-0_109081_2019-01-27_final
2019-01-27 11:11:19	ga_ls7e_ard_3-0-0_109082_2019-01-27_final
2019-01-27 11:11:43	ga_ls7e_ard_3-0-0_109083_2019-01-27_final
2019-01-27 11:12:07	ga_ls7e_ard_3-0-0_109084_2019-01-27_final
2019-02-08 11:29:42	ga_ls7e_ard_3-0-0_113067_2019-02-08_final
2019-02-10 11:19:16	ga_ls7e_ard_3-0-0_111072_2019-02-10_final
2019-02-10 11:19:40	ga_ls7e_ard_3-0-0_111073_2019-02-10_final
2019-02-10 11:20:04	ga_ls7e_ard_3-0-0_111074_2019-02-10_final
2019-02-10 11:20:28	ga_ls7e_ard_3-0-0_111075_2019-02-10_final
2019-02-10 11:20:52	ga_ls7e_ard_3-0-0_111076_2019-02-10_final
2019-02-10 11:21:16	ga_ls7e_ard_3-0-0_111077_2019-02-10_final
2019-02-10 11:21:40	ga_ls7e_ard_3-0-0_111078_2019-02-10_final
2019-02-12 11:10:26	ga_ls7e_ard_3-1-0_109081_2019-02-12_final
2019-02-12 11:10:50	ga_ls7e_ard_3-0-0_109082_2019-02-12_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years