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
1999-07-04 09:50:31	ga_ls7e_ard_3-0-0_096085_1999-07-04_final
1999-09-06 09:50:42	ga_ls7e_ard_3-0-0_096085_1999-09-06_final
1999-11-09 09:50:41	ga_ls7e_ard_3-0-0_096085_1999-11-09_final
2000-01-12 09:50:36	ga_ls7e_ard_3-0-0_096085_2000-01-12_final
2000-05-03 09:50:02	ga_ls7e_ard_3-0-0_096085_2000-05-03_final
2000-07-06 09:49:22	ga_ls7e_ard_3-0-0_096085_2000-07-06_final
2000-12-13 09:48:10	ga_ls7e_ard_3-0-0_096085_2000-12-13_final
2001-03-03 09:48:06	ga_ls7e_ard_3-0-0_096085_2001-03-03_final
2001-04-20 09:47:53	ga_ls7e_ard_3-1-0_096085_2001-04-20_final
2001-10-29 09:46:04	ga_ls7e_ard_3-1-0_096085_2001-10-29_final
2002-02-18 09:46:37	ga_ls7e_ard_3-1-0_096085_2002-02-18_final
2003-01-04 09:46:06	ga_ls7e_ard_3-0-0_096085_2003-01-04_final
2003-03-09 09:46:31	ga_ls7e_ard_3-0-0_096085_2003-03-09_final
2003-10-03 09:45:56	ga_ls7e_ard_3-0-0_096085_2003-10-03_final
2004-02-24 09:46:52	ga_ls7e_ard_3-0-0_096085_2004-02-24_final
2004-12-24 09:47:04	ga_ls7e_ard_3-0-0_096085_2004-12-24_final
2005-03-30 09:47:26	ga_ls7e_ard_3-0-0_096085_2005-03-30_final
2005-08-05 09:47:09	ga_ls7e_ard_3-0-0_096085_2005-08-05_final
2006-03-17 09:47:52	ga_ls7e_ard_3-0-0_096085_2006-03-17_final
2007-07-26 09:47:55	ga_ls7e_ard_3-0-0_096085_2007-07-26_final
2007-08-11 09:47:50	ga_ls7e_ard_3-0-0_096085_2007-08-11_final
2007-09-12 09:47:36	ga_ls7e_ard_3-0-0_096085_2007-09-12_final
2009-02-21 09:47:44	ga_ls7e_ard_3-1-0_096085_2009-02-21_final
2009-04-10 09:48:05	ga_ls7e_ard_3-0-0_096085_2009-04-10_final
2010-02-08 09:49:36	ga_ls7e_ard_3-0-0_096085_2010-02-08_final
2010-05-15 09:49:53	ga_ls7e_ard_3-0-0_096085_2010-05-15_final
2010-05-31 09:49:54	ga_ls7e_ard_3-0-0_096085_2010-05-31_final
2011-07-05 09:51:18	ga_ls7e_ard_3-0-0_096085_2011-07-05_final
2011-10-25 09:51:08	ga_ls7e_ard_3-0-0_096085_2011-10-25_final
2011-12-28 09:51:45	ga_ls7e_ard_3-0-0_096085_2011-12-28_final
2012-09-25 09:53:19	ga_ls7e_ard_3-0-0_096085_2012-09-25_final
2012-10-11 09:53:26	ga_ls7e_ard_3-0-0_096085_2012-10-11_final
2012-12-30 09:53:56	ga_ls7e_ard_3-0-0_096085_2012-12-30_final
2013-06-08 09:53:27	ga_ls7e_ard_3-0-0_096085_2013-06-08_final
2013-10-30 09:53:50	ga_ls7e_ard_3-0-0_096085_2013-10-30_final
2014-01-18 09:54:24	ga_ls7e_ard_3-0-0_096085_2014-01-18_final
2014-03-07 09:54:34	ga_ls7e_ard_3-0-0_096085_2014-03-07_final
2014-03-23 09:54:41	ga_ls7e_ard_3-0-0_096085_2014-03-23_final
2014-11-02 09:55:57	ga_ls7e_ard_3-0-0_096085_2014-11-02_final
2014-11-18 09:56:00	ga_ls7e_ard_3-0-0_096085_2014-11-18_final
2015-01-05 09:56:19	ga_ls7e_ard_3-0-0_096085_2015-01-05_final
2015-03-26 09:56:49	ga_ls7e_ard_3-0-0_096085_2015-03-26_final
2015-04-11 09:56:58	ga_ls7e_ard_3-0-0_096085_2015-04-11_final
2015-11-21 09:58:34	ga_ls7e_ard_3-0-0_096085_2015-11-21_final
2015-12-23 09:59:03	ga_ls7e_ard_3-0-0_096085_2015-12-23_final
2016-10-06 10:00:32	ga_ls7e_ard_3-0-0_096085_2016-10-06_final
2016-10-22 10:00:30	ga_ls7e_ard_3-0-0_096085_2016-10-22_final
2017-05-18 10:00:16	ga_ls7e_ard_3-0-0_096085_2017-05-18_final
2017-10-09 10:00:23	ga_ls7e_ard_3-0-0_096085_2017-10-09_final
2017-10-25 10:00:25	ga_ls7e_ard_3-0-0_096085_2017-10-25_final
2018-06-06 09:57:39	ga_ls7e_ard_3-0-0_096085_2018-06-06_final
2019-02-17 09:51:33	ga_ls7e_ard_3-1-0_096085_2019-02-17_final
2019-03-05 09:51:03	ga_ls7e_ard_3-1-0_096085_2019-03-05_final
2019-03-21 09:50:32	ga_ls7e_ard_3-1-0_096085_2019-03-21_final
2019-10-15 09:42:23	ga_ls7e_ard_3-1-0_096085_2019-10-15_final
2019-10-31 09:41:42	ga_ls7e_ard_3-1-0_096085_2019-10-31_final
2019-11-16 09:40:58	ga_ls7e_ard_3-1-0_096085_2019-11-16_final
2019-12-18 09:39:24	ga_ls7e_ard_3-1-0_096085_2019-12-18_final
2020-01-03 09:38:34	ga_ls7e_ard_3-1-0_096085_2020-01-03_final
2020-01-19 09:37:46	ga_ls7e_ard_3-1-0_096085_2020-01-19_final
2020-02-04 09:36:58	ga_ls7e_ard_3-1-0_096085_2020-02-04_final
2020-03-07 09:35:17	ga_ls7e_ard_3-1-0_096085_2020-03-07_final
2020-03-23 09:34:24	ga_ls7e_ard_3-1-0_096085_2020-03-23_final
2020-04-08 09:33:30	ga_ls7e_ard_3-1-0_096085_2020-04-08_final
2020-04-24 09:32:34	ga_ls7e_ard_3-1-0_096085_2020-04-24_final
2020-05-10 09:31:36	ga_ls7e_ard_3-1-0_096085_2020-05-10_final
2020-06-11 09:29:41	ga_ls7e_ard_3-1-0_096085_2020-06-10_final
2020-07-13 09:27:47	ga_ls7e_ard_3-1-0_096085_2020-07-12_final
2020-07-29 09:26:47	ga_ls7e_ard_3-1-0_096085_2020-07-28_final
2020-08-14 09:25:47	ga_ls7e_ard_3-1-0_096085_2020-08-13_final
2020-09-15 09:23:41	ga_ls7e_ard_3-1-0_096085_2020-09-14_final
2020-10-01 09:22:39	ga_ls7e_ard_3-1-0_096085_2020-09-30_final
2020-11-02 09:20:34	ga_ls7e_ard_3-1-0_096085_2020-11-01_final
2020-11-18 09:19:28	ga_ls7e_ard_3-1-0_096085_2020-11-17_final
2020-12-04 09:18:19	ga_ls7e_ard_3-1-0_096085_2020-12-03_final
2020-12-20 09:17:06	ga_ls7e_ard_3-1-0_096085_2020-12-19_final
2021-01-05 09:15:59	ga_ls7e_ard_3-1-0_096085_2021-01-04_final
2021-01-21 09:14:51	ga_ls7e_ard_3-2-0_096085_2021-01-20_final
2021-02-06 09:13:41	ga_ls7e_ard_3-2-0_096085_2021-02-05_final
2021-02-22 09:12:29	ga_ls7e_ard_3-2-0_096085_2021-02-21_final
2021-03-10 09:11:14	ga_ls7e_ard_3-2-0_096085_2021-03-09_final
2021-03-26 09:09:57	ga_ls7e_ard_3-2-0_096085_2021-03-25_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_final
2021-04-27 09:07:17	ga_ls7e_ard_3-2-0_096085_2021-04-26_final
2021-05-13 09:05:57	ga_ls7e_ard_3-2-0_096085_2021-05-12_final
2021-05-29 09:04:35	ga_ls7e_ard_3-2-0_096085_2021-05-28_final
2021-06-14 09:03:16	ga_ls7e_ard_3-2-0_096085_2021-06-13_final
2021-06-30 09:01:57	ga_ls7e_ard_3-2-0_096085_2021-06-29_final
2021-07-16 09:00:35	ga_ls7e_ard_3-2-0_096085_2021-07-15_final
2021-08-01 08:59:12	ga_ls7e_ard_3-2-0_096085_2021-07-31_final
2021-09-02 08:56:24	ga_ls7e_ard_3-2-0_096085_2021-09-01_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-20 08:52:08	ga_ls7e_ard_3-2-0_096085_2021-10-19_final
2021-11-05 08:50:39	ga_ls7e_ard_3-2-0_096085_2021-11-04_final
2021-11-21 08:49:06	ga_ls7e_ard_3-2-1_096085_2021-11-20_final
2021-12-07 08:47:36	ga_ls7e_ard_3-2-1_096085_2021-12-06_final
2021-12-23 08:46:03	ga_ls7e_ard_3-2-1_096085_2021-12-22_final
2022-01-24 08:42:56	ga_ls7e_ard_3-2-1_096085_2022-01-23_final
2022-02-09 08:41:20	ga_ls7e_ard_3-2-1_096085_2022-02-08_final
2022-02-25 08:39:45	ga_ls7e_ard_3-2-1_096085_2022-02-24_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