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
2002-05-09 11:18:18	ga_ls7e_ard_3-0-0_112067_2002-05-09_final
2002-05-25 11:18:08	ga_ls7e_ard_3-0-0_112067_2002-05-25_final
2012-11-09 11:01:13	ga_ls7e_ard_3-0-0_107084_2012-11-09_final
2012-11-12 11:25:23	ga_ls7e_ard_3-0-0_112067_2012-11-12_final
2012-12-02 11:06:19	ga_ls7e_ard_3-0-0_108081_2012-12-02_final
2012-12-02 11:06:43	ga_ls7e_ard_3-0-0_108082_2012-12-02_final
2012-12-02 11:07:07	ga_ls7e_ard_3-0-0_108083_2012-12-02_final
2012-12-02 11:07:31	ga_ls7e_ard_3-0-0_108084_2012-12-02_final
2012-12-25 11:11:04	ga_ls7e_ard_3-0-0_109077_2012-12-25_final
2012-12-25 11:11:28	ga_ls7e_ard_3-0-0_109078_2012-12-25_final
2012-12-25 11:11:52	ga_ls7e_ard_3-0-0_109079_2012-12-25_final
2012-12-25 11:12:16	ga_ls7e_ard_3-0-0_109080_2012-12-25_final
2012-12-25 11:12:40	ga_ls7e_ard_3-1-0_109081_2012-12-25_final
2012-12-25 11:13:04	ga_ls7e_ard_3-0-0_109082_2012-12-25_final
2012-12-27 11:01:30	ga_ls7e_ard_3-0-0_107084_2012-12-27_final
2013-04-09 11:06:22	ga_ls7e_ard_3-0-0_108081_2013-04-09_final
2013-04-09 11:06:46	ga_ls7e_ard_3-0-0_108082_2013-04-09_final
2013-04-09 11:07:10	ga_ls7e_ard_3-0-0_108083_2013-04-09_final
2013-04-09 11:07:34	ga_ls7e_ard_3-0-0_108084_2013-04-09_final
2013-04-14 11:19:18	ga_ls7e_ard_3-0-0_111067_2013-04-14_final
2013-04-14 11:19:42	ga_ls7e_ard_3-0-0_111068_2013-04-14_final
2013-04-14 11:20:53	ga_ls7e_ard_3-0-0_111071_2013-04-14_final
2013-04-14 11:21:17	ga_ls7e_ard_3-0-0_111072_2013-04-14_final
2013-04-14 11:21:41	ga_ls7e_ard_3-0-0_111073_2013-04-14_final
2013-04-16 11:10:54	ga_ls7e_ard_3-0-0_109077_2013-04-16_final
2013-04-16 11:11:18	ga_ls7e_ard_3-0-0_109078_2013-04-16_final
2013-04-16 11:11:42	ga_ls7e_ard_3-0-0_109079_2013-04-16_final
2013-04-16 11:12:06	ga_ls7e_ard_3-0-0_109080_2013-04-16_final
2013-05-25 11:14:56	ga_ls7e_ard_3-1-0_110072_2013-05-25_final
2013-05-25 11:15:20	ga_ls7e_ard_3-0-0_110073_2013-05-25_final
2013-05-25 11:15:44	ga_ls7e_ard_3-0-0_110074_2013-05-25_final
2013-05-25 11:16:08	ga_ls7e_ard_3-0-0_110075_2013-05-25_final
2013-05-25 11:16:32	ga_ls7e_ard_3-0-0_110076_2013-05-25_final
2013-05-25 11:16:55	ga_ls7e_ard_3-0-0_110077_2013-05-25_final
2013-05-25 11:17:19	ga_ls7e_ard_3-0-0_110078_2013-05-25_final
2013-06-26 11:14:41	ga_ls7e_ard_3-1-0_110072_2013-06-26_final
2013-06-26 11:17:05	ga_ls7e_ard_3-0-0_110078_2013-06-26_final
2013-06-28 11:05:54	ga_ls7e_ard_3-0-0_108081_2013-06-28_final
2013-06-28 11:06:18	ga_ls7e_ard_3-1-0_108082_2013-06-28_final
2013-06-28 11:06:42	ga_ls7e_ard_3-0-0_108083_2013-06-28_final
2013-06-28 11:07:06	ga_ls7e_ard_3-0-0_108084_2013-06-28_final
2013-08-04 11:18:33	ga_ls7e_ard_3-0-0_111067_2013-08-04_final
2013-08-04 11:18:57	ga_ls7e_ard_3-0-0_111068_2013-08-04_final
2013-08-04 11:20:09	ga_ls7e_ard_3-0-0_111071_2013-08-04_final
2013-08-04 11:20:32	ga_ls7e_ard_3-0-0_111072_2013-08-04_final
2013-08-04 11:20:56	ga_ls7e_ard_3-0-0_111073_2013-08-04_final
2013-08-06 11:10:11	ga_ls7e_ard_3-0-0_109077_2013-08-06_final
2013-08-06 11:10:35	ga_ls7e_ard_3-0-0_109078_2013-08-06_final
2013-08-06 11:10:58	ga_ls7e_ard_3-0-0_109079_2013-08-06_final
2013-08-06 11:11:22	ga_ls7e_ard_3-0-0_109080_2013-08-06_final
2013-08-06 11:11:46	ga_ls7e_ard_3-1-0_109081_2013-08-06_final
2013-08-06 11:12:10	ga_ls7e_ard_3-0-0_109082_2013-08-06_final
2014-01-20 11:18:11	ga_ls7e_ard_3-0-0_110078_2014-01-20_final
2014-01-22 11:07:51	ga_ls7e_ard_3-0-0_108083_2014-01-22_final
2014-01-22 11:08:15	ga_ls7e_ard_3-0-0_108084_2014-01-22_final
2017-12-05 11:27:45	ga_ls7e_ard_3-0-0_111072_2017-12-05_final
2017-12-05 11:28:09	ga_ls7e_ard_3-0-0_111073_2017-12-05_final
2017-12-07 11:17:22	ga_ls7e_ard_3-0-0_109077_2017-12-07_final
2017-12-07 11:17:46	ga_ls7e_ard_3-0-0_109078_2017-12-07_final
2017-12-07 11:18:10	ga_ls7e_ard_3-0-0_109079_2017-12-07_final
2017-12-07 11:18:34	ga_ls7e_ard_3-0-0_109080_2017-12-07_final
2017-12-07 11:18:58	ga_ls7e_ard_3-1-0_109081_2017-12-07_final
2017-12-07 11:19:22	ga_ls7e_ard_3-0-0_109082_2017-12-07_final
2021-04-06 10:26:12	ga_ls7e_ard_3-2-0_109077_2021-04-06_final
2021-04-06 10:26:36	ga_ls7e_ard_3-2-0_109078_2021-04-06_final
2021-04-06 10:27:00	ga_ls7e_ard_3-2-0_109079_2021-04-06_final
2021-04-06 10:27:24	ga_ls7e_ard_3-2-0_109080_2021-04-06_final
2021-04-06 10:27:48	ga_ls7e_ard_3-2-0_109081_2021-04-06_final
2021-04-06 10:28:12	ga_ls7e_ard_3-2-0_109082_2021-04-06_final
2021-04-06 10:28:36	ga_ls7e_ard_3-2-0_109083_2021-04-06_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-04-13 10:29:48	ga_ls7e_ard_3-2-0_110072_2021-04-13_final
2021-04-13 10:30:12	ga_ls7e_ard_3-2-0_110073_2021-04-13_final
2021-04-13 10:30:36	ga_ls7e_ard_3-2-0_110074_2021-04-13_final
2021-04-13 10:31:00	ga_ls7e_ard_3-2-0_110075_2021-04-13_final
2021-04-13 10:31:24	ga_ls7e_ard_3-2-0_110076_2021-04-13_final
2021-04-13 10:31:48	ga_ls7e_ard_3-2-0_110077_2021-04-13_final
2021-04-13 10:32:12	ga_ls7e_ard_3-2-0_110078_2021-04-13_final
2021-08-10 10:26:18	ga_ls7e_ard_3-2-0_111073_2021-08-10_final
2021-08-21 10:09:59	ga_ls7e_ard_3-2-0_108081_2021-08-21_final
2021-08-21 10:10:23	ga_ls7e_ard_3-2-0_108082_2021-08-21_final
2021-08-21 10:10:47	ga_ls7e_ard_3-2-0_108083_2021-08-21_final
2021-08-21 10:11:11	ga_ls7e_ard_3-2-0_108084_2021-08-21_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-07 10:12:35	ga_ls7e_ard_3-2-0_110074_2021-11-07_final
2021-11-07 10:12:59	ga_ls7e_ard_3-2-0_110075_2021-11-07_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-07 10:13:47	ga_ls7e_ard_3-2-0_110077_2021-11-07_final
2021-11-07 10:14:11	ga_ls7e_ard_3-2-0_110078_2021-11-07_final
2021-11-09 10:02:50	ga_ls7e_ard_3-2-0_108081_2021-11-09_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-11-23 10:10:38	ga_ls7e_ard_3-2-1_110073_2021-11-23_final
2021-11-23 10:11:01	ga_ls7e_ard_3-2-1_110074_2021-11-23_final
2021-11-23 10:11:25	ga_ls7e_ard_3-2-1_110075_2021-11-23_final
2021-11-23 10:11:49	ga_ls7e_ard_3-2-1_110076_2021-11-23_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-23 10:12:37	ga_ls7e_ard_3-2-1_110078_2021-11-23_final
2021-11-25 10:01:16	ga_ls7e_ard_3-2-1_108081_2021-11-25_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years