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
2000-10-08 09:56:32	ga_ls7e_ard_3-0-0_098075_2000-10-08_final
2000-11-09 09:56:27	ga_ls7e_ard_3-0-0_098075_2000-11-09_final
2002-03-20 09:54:53	ga_ls7e_ard_3-1-0_098075_2002-03-20_final
2002-11-15 09:54:05	ga_ls7e_ard_3-0-0_098075_2002-11-15_final
2003-04-08 09:54:54	ga_ls7e_ard_3-0-0_098075_2003-04-08_final
2003-05-26 09:54:50	ga_ls7e_ard_3-0-0_098075_2003-05-26_final
2003-11-18 09:54:45	ga_ls7e_ard_3-1-0_098075_2003-11-18_final
2004-06-29 09:55:09	ga_ls7e_ard_3-0-0_098075_2004-06-29_final
2005-02-24 09:55:48	ga_ls7e_ard_3-0-0_098075_2005-02-24_final
2005-04-29 09:55:43	ga_ls7e_ard_3-0-0_098075_2005-04-29_final
2005-07-18 09:55:34	ga_ls7e_ard_3-0-0_098075_2005-07-18_final
2005-08-19 09:55:27	ga_ls7e_ard_3-0-0_098075_2005-08-19_final
2005-11-07 09:55:33	ga_ls7e_ard_3-0-0_098075_2005-11-07_final
2006-05-02 09:56:11	ga_ls7e_ard_3-0-0_098075_2006-05-02_final
2006-07-05 09:56:01	ga_ls7e_ard_3-0-0_098075_2006-07-05_final
2007-06-06 09:56:24	ga_ls7e_ard_3-0-0_098075_2007-06-06_final
2007-11-13 09:56:14	ga_ls7e_ard_3-0-0_098075_2007-11-13_final
2008-06-24 09:55:47	ga_ls7e_ard_3-0-0_098075_2008-06-24_final
2008-09-12 09:55:05	ga_ls7e_ard_3-0-0_098075_2008-09-12_final
2008-10-30 09:55:04	ga_ls7e_ard_3-0-0_098075_2008-10-30_final
2009-02-19 09:56:05	ga_ls7e_ard_3-0-0_098075_2009-02-19_final
2009-10-01 09:56:16	ga_ls7e_ard_3-0-0_098075_2009-10-01_final
2010-03-10 09:58:14	ga_ls7e_ard_3-0-0_098075_2010-03-10_final
2010-03-26 09:58:19	ga_ls7e_ard_3-0-0_098075_2010-03-26_final
2011-04-30 09:59:45	ga_ls7e_ard_3-0-0_098075_2011-04-30_final
2012-02-28 10:00:16	ga_ls7e_ard_3-0-0_098075_2012-02-28_final
2012-03-15 10:00:15	ga_ls7e_ard_3-0-0_098075_2012-03-15_final
2012-07-05 10:00:46	ga_ls7e_ard_3-0-0_098075_2012-07-05_final
2013-01-13 10:02:17	ga_ls7e_ard_3-0-0_098075_2013-01-13_final
2013-08-09 10:01:20	ga_ls7e_ard_3-0-0_098075_2013-08-09_final
2013-10-12 10:02:07	ga_ls7e_ard_3-0-0_098075_2013-10-12_final
2014-02-17 10:02:52	ga_ls7e_ard_3-0-0_098075_2014-02-17_final
2015-05-11 10:05:33	ga_ls7e_ard_3-0-0_098075_2015-05-11_final
2015-11-19 10:06:55	ga_ls7e_ard_3-0-0_098075_2015-11-19_final
2016-03-10 10:08:12	ga_ls7e_ard_3-0-0_098075_2016-03-10_final
2017-11-08 10:08:46	ga_ls7e_ard_3-0-0_098075_2017-11-08_final
2018-02-12 10:07:41	ga_ls7e_ard_3-0-0_098075_2018-02-12_final
2018-03-16 10:07:20	ga_ls7e_ard_3-0-0_098075_2018-03-16_final
2018-05-19 10:06:18	ga_ls7e_ard_3-0-0_098075_2018-05-19_final
2018-07-06 10:05:26	ga_ls7e_ard_3-1-0_098075_2018-07-06_final
2018-11-11 10:02:45	ga_ls7e_ard_3-0-0_098075_2018-11-11_final
2019-01-14 10:00:58	ga_ls7e_ard_3-0-0_098075_2019-01-14_final
2019-03-03 09:59:29	ga_ls7e_ard_3-1-0_098075_2019-03-03_final
2019-03-19 09:58:58	ga_ls7e_ard_3-1-0_098075_2019-03-19_final
2019-04-20 09:57:51	ga_ls7e_ard_3-0-0_098075_2019-04-20_final
2019-05-22 09:56:36	ga_ls7e_ard_3-0-0_098075_2019-05-22_final
2019-08-26 09:52:54	ga_ls7e_ard_3-1-0_098075_2019-08-26_final
2019-09-11 09:52:12	ga_ls7e_ard_3-1-0_098075_2019-09-11_final
2019-09-27 09:51:30	ga_ls7e_ard_3-1-0_098075_2019-09-27_final
2019-10-13 09:50:50	ga_ls7e_ard_3-1-0_098075_2019-10-13_final
2019-11-14 09:49:25	ga_ls7e_ard_3-1-0_098075_2019-11-14_final
2019-11-30 09:48:40	ga_ls7e_ard_3-1-0_098075_2019-11-30_final
2019-12-16 09:47:52	ga_ls7e_ard_3-1-0_098075_2019-12-16_final
2020-01-01 09:47:02	ga_ls7e_ard_3-1-0_098075_2020-01-01_final
2020-01-17 09:46:14	ga_ls7e_ard_3-1-0_098075_2020-01-17_final
2020-02-02 09:45:26	ga_ls7e_ard_3-1-0_098075_2020-02-02_final
2020-02-18 09:44:37	ga_ls7e_ard_3-1-0_098075_2020-02-18_final
2020-03-21 09:42:53	ga_ls7e_ard_3-1-0_098075_2020-03-21_final
2020-04-06 09:41:59	ga_ls7e_ard_3-1-0_098075_2020-04-06_final
2020-04-22 09:41:03	ga_ls7e_ard_3-1-0_098075_2020-04-22_final
2020-05-08 09:40:05	ga_ls7e_ard_3-1-0_098075_2020-05-08_final
2020-06-25 09:37:14	ga_ls7e_ard_3-1-0_098075_2020-06-25_final
2020-07-11 09:36:16	ga_ls7e_ard_3-1-0_098075_2020-07-11_final
2020-07-27 09:35:17	ga_ls7e_ard_3-1-0_098075_2020-07-27_final
2020-08-12 09:34:17	ga_ls7e_ard_3-1-0_098075_2020-08-12_final
2020-08-28 09:33:15	ga_ls7e_ard_3-1-0_098075_2020-08-28_final
2020-09-13 09:32:12	ga_ls7e_ard_3-1-0_098075_2020-09-13_final
2020-09-29 09:31:09	ga_ls7e_ard_3-1-0_098075_2020-09-29_final
2020-10-31 09:29:04	ga_ls7e_ard_3-1-0_098075_2020-10-30_final
2020-11-16 09:27:58	ga_ls7e_ard_3-1-0_098075_2020-11-15_final
2020-12-02 09:26:50	ga_ls7e_ard_3-1-0_098075_2020-12-01_final
2020-12-18 09:25:38	ga_ls7e_ard_3-1-0_098075_2020-12-17_final
2021-01-03 09:24:29	ga_ls7e_ard_3-1-0_098075_2021-01-02_final
2021-01-19 09:23:22	ga_ls7e_ard_3-1-0_098075_2021-01-18_final
2021-02-04 09:22:12	ga_ls7e_ard_3-2-0_098075_2021-02-03_final
2021-02-20 09:21:00	ga_ls7e_ard_3-2-0_098075_2021-02-19_final
2021-03-08 09:19:46	ga_ls7e_ard_3-2-0_098075_2021-03-07_final
2021-03-24 09:18:29	ga_ls7e_ard_3-2-0_098075_2021-03-23_final
2021-04-09 09:17:10	ga_ls7e_ard_3-2-0_098075_2021-04-08_final
2021-04-25 09:15:49	ga_ls7e_ard_3-2-0_098075_2021-04-24_final
2021-05-11 09:14:29	ga_ls7e_ard_3-2-0_098075_2021-05-10_final
2021-05-27 09:13:07	ga_ls7e_ard_3-2-0_098075_2021-05-26_final
2021-06-12 09:11:48	ga_ls7e_ard_3-2-0_098075_2021-06-11_final
2021-06-28 09:10:29	ga_ls7e_ard_3-2-0_098075_2021-06-27_final
2021-07-14 09:09:08	ga_ls7e_ard_3-2-0_098075_2021-07-13_final
2021-07-30 09:07:44	ga_ls7e_ard_3-2-0_098075_2021-07-29_final
2021-08-15 09:06:19	ga_ls7e_ard_3-2-0_098075_2021-08-14_final
2021-08-31 09:04:56	ga_ls7e_ard_3-2-0_098075_2021-08-30_final
2021-09-16 09:03:32	ga_ls7e_ard_3-2-0_098075_2021-09-15_final
2021-10-02 09:02:06	ga_ls7e_ard_3-2-0_098075_2021-10-01_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-11-03 08:59:13	ga_ls7e_ard_3-2-0_098075_2021-11-02_final
2021-11-19 08:57:40	ga_ls7e_ard_3-2-1_098075_2021-11-18_final
2021-12-05 08:56:09	ga_ls7e_ard_3-2-1_098075_2021-12-04_final
2021-12-21 08:54:37	ga_ls7e_ard_3-2-1_098075_2021-12-20_final
2022-01-06 08:53:01	ga_ls7e_ard_3-2-1_098075_2022-01-05_final
2022-01-22 08:51:30	ga_ls7e_ard_3-2-1_098075_2022-01-21_final
2022-02-07 08:49:54	ga_ls7e_ard_3-2-1_098075_2022-02-06_final
2022-02-23 08:48:19	ga_ls7e_ard_3-2-1_098075_2022-02-22_final
2022-03-11 08:46:45	ga_ls7e_ard_3-2-1_098075_2022-03-10_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