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
1999-08-09 11:02:03	ga_ls7e_ard_3-0-0_108078_1999-08-09_final
1999-10-12 11:02:10	ga_ls7e_ard_3-0-0_108078_1999-10-12_final
1999-10-28 11:02:01	ga_ls7e_ard_3-0-0_108078_1999-10-28_final
2000-05-23 11:01:07	ga_ls7e_ard_3-1-0_108078_2000-05-23_final
2000-08-27 11:00:05	ga_ls7e_ard_3-0-0_108078_2000-08-27_final
2000-09-12 10:59:48	ga_ls7e_ard_3-0-0_108078_2000-09-12_final
2001-04-08 10:59:12	ga_ls7e_ard_3-0-0_108078_2001-04-08_final
2001-05-26 10:58:57	ga_ls7e_ard_3-0-0_108078_2001-05-26_final
2001-06-11 10:58:46	ga_ls7e_ard_3-0-0_108078_2001-06-11_final
2001-07-29 10:58:20	ga_ls7e_ard_3-0-0_108078_2001-07-29_final
2001-10-01 10:57:28	ga_ls7e_ard_3-0-0_108078_2001-10-01_final
2001-12-20 10:57:48	ga_ls7e_ard_3-0-0_108078_2001-12-20_final
2002-06-30 10:57:35	ga_ls7e_ard_3-0-0_108078_2002-06-30_final
2002-08-17 10:57:18	ga_ls7e_ard_3-0-0_108078_2002-08-17_final
2002-10-04 10:56:51	ga_ls7e_ard_3-0-0_108078_2002-10-04_final
2002-12-07 10:57:24	ga_ls7e_ard_3-1-0_108078_2002-12-07_final
2003-04-14 10:57:54	ga_ls7e_ard_3-0-0_108078_2003-04-14_final
2004-03-15 10:58:24	ga_ls7e_ard_3-0-0_108078_2004-03-15_final
2004-04-16 10:58:18	ga_ls7e_ard_3-0-0_108078_2004-04-16_final
2004-12-28 10:58:28	ga_ls7e_ard_3-0-0_108078_2004-12-28_final
2005-02-14 10:58:44	ga_ls7e_ard_3-0-0_108078_2005-02-14_final
2005-03-18 10:58:50	ga_ls7e_ard_3-0-0_108078_2005-03-18_final
2005-05-21 10:58:45	ga_ls7e_ard_3-1-0_108078_2005-05-21_final
2006-04-22 10:59:09	ga_ls7e_ard_3-0-0_108078_2006-04-22_final
2006-06-25 10:59:05	ga_ls7e_ard_3-0-0_108078_2006-06-25_final
2006-07-27 10:58:50	ga_ls7e_ard_3-0-0_108078_2006-07-27_final
2007-01-19 10:59:22	ga_ls7e_ard_3-1-0_108078_2007-01-19_final
2007-12-05 10:59:24	ga_ls7e_ard_3-0-0_108078_2007-12-05_final
2008-05-13 10:59:09	ga_ls7e_ard_3-0-0_108078_2008-05-13_final
2009-08-20 10:59:19	ga_ls7e_ard_3-0-0_108078_2009-08-20_final
2009-11-08 10:59:39	ga_ls7e_ard_3-0-0_108078_2009-11-08_final
2011-06-23 11:02:41	ga_ls7e_ard_3-0-0_108078_2011-06-23_final
2011-10-13 11:02:23	ga_ls7e_ard_3-0-0_108078_2011-10-13_final
2012-10-31 11:04:59	ga_ls7e_ard_3-0-0_108078_2012-10-31_final
2012-12-02 11:05:07	ga_ls7e_ard_3-0-0_108078_2012-12-02_final
2013-08-31 11:04:36	ga_ls7e_ard_3-0-0_108078_2013-08-31_final
2014-01-06 11:05:35	ga_ls7e_ard_3-0-0_108078_2014-01-06_final
2014-11-22 11:07:25	ga_ls7e_ard_3-0-0_108078_2014-11-22_final
2014-12-24 11:07:40	ga_ls7e_ard_3-0-0_108078_2014-12-24_final
2016-10-10 11:11:54	ga_ls7e_ard_3-0-0_108078_2016-10-10_final
2018-03-22 11:10:15	ga_ls7e_ard_3-0-0_108078_2018-03-22_final
2018-11-17 11:05:36	ga_ls7e_ard_3-0-0_108078_2018-11-17_final
2019-01-04 11:04:17	ga_ls7e_ard_3-0-0_108078_2019-01-04_final
2019-02-21 11:02:47	ga_ls7e_ard_3-1-0_108078_2019-02-21_final
2019-09-01 10:55:38	ga_ls7e_ard_3-1-0_108078_2019-09-01_final
2019-09-17 10:54:56	ga_ls7e_ard_3-1-0_108078_2019-09-17_final
2019-10-03 10:54:15	ga_ls7e_ard_3-1-0_108078_2019-10-03_final
2019-10-19 10:53:35	ga_ls7e_ard_3-1-0_108078_2019-10-19_final
2019-11-04 10:52:53	ga_ls7e_ard_3-1-0_108078_2019-11-04_final
2019-11-20 10:52:08	ga_ls7e_ard_3-1-0_108078_2019-11-20_final
2019-12-06 10:51:22	ga_ls7e_ard_3-1-0_108078_2019-12-06_final
2019-12-22 10:50:33	ga_ls7e_ard_3-1-0_108078_2019-12-22_final
2020-01-07 10:49:43	ga_ls7e_ard_3-1-0_108078_2020-01-07_final
2020-01-23 10:48:56	ga_ls7e_ard_3-1-0_108078_2020-01-23_final
2020-02-08 10:48:08	ga_ls7e_ard_3-1-0_108078_2020-02-08_final
2020-02-24 10:47:18	ga_ls7e_ard_3-1-0_108078_2020-02-24_final
2020-03-11 10:46:26	ga_ls7e_ard_3-1-0_108078_2020-03-11_final
2020-03-27 10:45:33	ga_ls7e_ard_3-1-0_108078_2020-03-27_final
2020-04-12 10:44:38	ga_ls7e_ard_3-1-0_108078_2020-04-12_final
2020-04-28 10:43:41	ga_ls7e_ard_3-1-0_108078_2020-04-28_final
2020-05-14 10:42:43	ga_ls7e_ard_3-1-0_108078_2020-05-14_final
2020-06-15 10:40:49	ga_ls7e_ard_3-1-0_108078_2020-06-15_final
2020-07-01 10:39:52	ga_ls7e_ard_3-1-0_108078_2020-07-01_final
2020-07-17 10:38:54	ga_ls7e_ard_3-1-0_108078_2020-07-17_final
2020-08-02 10:37:54	ga_ls7e_ard_3-1-0_108078_2020-08-02_final
2020-08-18 10:36:53	ga_ls7e_ard_3-1-0_108078_2020-08-18_final
2020-09-03 10:35:51	ga_ls7e_ard_3-1-0_108078_2020-09-03_final
2020-09-19 10:34:47	ga_ls7e_ard_3-1-0_108078_2020-09-19_final
2020-10-05 10:33:46	ga_ls7e_ard_3-1-0_108078_2020-10-05_final
2020-10-21 10:32:44	ga_ls7e_ard_3-1-0_108078_2020-10-21_final
2020-11-06 10:31:40	ga_ls7e_ard_3-1-0_108078_2020-11-06_final
2020-11-22 10:30:33	ga_ls7e_ard_3-1-0_108078_2020-11-22_final
2020-12-08 10:29:23	ga_ls7e_ard_3-1-0_108078_2020-12-08_final
2020-12-24 10:28:10	ga_ls7e_ard_3-1-0_108078_2020-12-24_final
2021-01-09 10:27:04	ga_ls7e_ard_3-1-0_108078_2021-01-09_final
2021-01-25 10:25:56	ga_ls7e_ard_3-2-0_108078_2021-01-25_final
2021-02-10 10:24:45	ga_ls7e_ard_3-2-0_108078_2021-02-10_final
2021-02-26 10:23:32	ga_ls7e_ard_3-2-0_108078_2021-02-26_final
2021-03-14 10:22:17	ga_ls7e_ard_3-2-0_108078_2021-03-14_final
2021-03-30 10:21:00	ga_ls7e_ard_3-2-0_108078_2021-03-30_final
2021-04-15 10:19:40	ga_ls7e_ard_3-2-0_108078_2021-04-15_final
2021-05-01 10:18:19	ga_ls7e_ard_3-2-0_108078_2021-05-01_final
2021-05-17 10:16:59	ga_ls7e_ard_3-2-0_108078_2021-05-17_final
2021-06-02 10:15:36	ga_ls7e_ard_3-2-0_108078_2021-06-02_final
2021-06-18 10:14:18	ga_ls7e_ard_3-2-0_108078_2021-06-18_final
2021-07-04 10:12:58	ga_ls7e_ard_3-2-0_108078_2021-07-04_final
2021-07-20 10:11:36	ga_ls7e_ard_3-2-0_108078_2021-07-20_final
2021-08-05 10:10:12	ga_ls7e_ard_3-2-0_108078_2021-08-05_final
2021-08-21 10:08:47	ga_ls7e_ard_3-2-0_108078_2021-08-21_final
2021-09-06 10:07:25	ga_ls7e_ard_3-2-0_108078_2021-09-06_final
2021-09-22 10:05:59	ga_ls7e_ard_3-2-0_108078_2021-09-22_final
2021-10-08 10:04:34	ga_ls7e_ard_3-2-0_108078_2021-10-08_final
2021-11-09 10:01:38	ga_ls7e_ard_3-2-0_108078_2021-11-09_final
2021-11-25 10:00:04	ga_ls7e_ard_3-2-1_108078_2021-11-25_final
2021-12-11 09:58:35	ga_ls7e_ard_3-2-1_108078_2021-12-11_final
2021-12-27 09:57:01	ga_ls7e_ard_3-2-1_108078_2021-12-27_final
2022-01-12 09:55:27	ga_ls7e_ard_3-2-1_108078_2022-01-12_final
2022-01-28 09:53:55	ga_ls7e_ard_3-2-1_108078_2022-01-28_final
2022-02-13 09:52:17	ga_ls7e_ard_3-2-1_108078_2022-02-13_final
2022-03-01 09:50:44	ga_ls7e_ard_3-2-1_108078_2022-03-01_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