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
1999-10-31 09:51:15	ga_ls7e_ard_3-0-0_097071_1999-10-31_final
2000-05-10 09:50:29	ga_ls7e_ard_3-0-0_097071_2000-05-10_final
2001-03-10 09:48:42	ga_ls7e_ard_3-0-0_097071_2001-03-10_final
2001-08-17 09:47:11	ga_ls7e_ard_3-0-0_097071_2001-08-17_final
2002-01-08 09:47:06	ga_ls7e_ard_3-0-0_097071_2002-01-08_final
2002-08-20 09:46:30	ga_ls7e_ard_3-0-0_097071_2002-08-20_final
2002-10-23 09:46:10	ga_ls7e_ard_3-0-0_097071_2002-10-23_final
2003-03-16 09:47:05	ga_ls7e_ard_3-0-0_097071_2003-03-16_final
2003-04-17 09:47:07	ga_ls7e_ard_3-0-0_097071_2003-04-17_final
2004-04-03 09:47:37	ga_ls7e_ard_3-0-0_097071_2004-04-03_final
2004-04-19 09:47:29	ga_ls7e_ard_3-0-0_097071_2004-04-19_final
2004-05-21 09:47:33	ga_ls7e_ard_3-0-0_097071_2004-05-21_final
2004-10-28 09:47:11	ga_ls7e_ard_3-0-0_097071_2004-10-28_final
2004-12-15 09:47:33	ga_ls7e_ard_3-0-0_097071_2004-12-15_final
2005-03-05 09:48:03	ga_ls7e_ard_3-0-0_097071_2005-03-05_final
2006-01-19 09:48:17	ga_ls7e_ard_3-0-0_097071_2006-01-19_final
2006-10-02 09:47:46	ga_ls7e_ard_3-0-0_097071_2006-10-02_final
2006-10-18 09:47:53	ga_ls7e_ard_3-0-0_097071_2006-10-18_final
2007-07-01 09:48:36	ga_ls7e_ard_3-0-0_097071_2007-07-01_final
2007-07-17 09:48:33	ga_ls7e_ard_3-0-0_097071_2007-07-17_final
2008-08-04 09:47:36	ga_ls7e_ard_3-0-0_097071_2008-08-04_final
2008-10-07 09:47:03	ga_ls7e_ard_3-0-0_097071_2008-10-07_final
2009-03-16 09:48:31	ga_ls7e_ard_3-0-0_097071_2009-03-16_final
2009-06-04 09:48:48	ga_ls7e_ard_3-0-0_097071_2009-06-04_final
2009-06-20 09:48:47	ga_ls7e_ard_3-0-0_097071_2009-06-20_final
2010-01-14 09:49:52	ga_ls7e_ard_3-0-0_097071_2010-01-14_final
2010-12-16 09:51:23	ga_ls7e_ard_3-0-0_097071_2010-12-16_final
2011-04-07 09:51:59	ga_ls7e_ard_3-0-0_097071_2011-04-07_final
2011-06-26 09:51:54	ga_ls7e_ard_3-0-0_097071_2011-06-26_final
2012-01-04 09:52:23	ga_ls7e_ard_3-0-0_097071_2012-01-04_final
2012-05-27 09:52:54	ga_ls7e_ard_3-0-0_097071_2012-05-27_final
2012-06-12 09:52:45	ga_ls7e_ard_3-0-0_097071_2012-06-12_final
2013-10-21 09:54:25	ga_ls7e_ard_3-0-0_097071_2013-10-21_final
2013-11-22 09:54:34	ga_ls7e_ard_3-0-0_097071_2013-11-22_final
2014-03-14 09:55:13	ga_ls7e_ard_3-0-0_097071_2014-03-14_final
2014-11-25 09:56:40	ga_ls7e_ard_3-0-0_097071_2014-11-25_final
2015-08-24 09:58:13	ga_ls7e_ard_3-0-0_097071_2015-08-24_final
2015-11-12 09:59:01	ga_ls7e_ard_3-0-0_097071_2015-11-12_final
2016-06-07 10:00:53	ga_ls7e_ard_3-0-0_097071_2016-06-07_final
2016-10-13 10:01:07	ga_ls7e_ard_3-0-0_097071_2016-10-13_final
2017-03-22 10:00:34	ga_ls7e_ard_3-0-0_097071_2017-03-22_final
2017-10-16 10:01:00	ga_ls7e_ard_3-0-0_097071_2017-10-16_final
2018-02-05 09:59:59	ga_ls7e_ard_3-0-0_097071_2018-02-05_final
2019-02-24 09:51:55	ga_ls7e_ard_3-1-0_097071_2019-02-24_final
2019-03-12 09:51:25	ga_ls7e_ard_3-1-0_097071_2019-03-12_final
2019-03-28 09:50:53	ga_ls7e_ard_3-1-0_097071_2019-03-28_final
2019-06-16 09:47:57	ga_ls7e_ard_3-0-0_097071_2019-06-16_final
2019-07-02 09:47:21	ga_ls7e_ard_3-0-0_097071_2019-07-02_final
2019-09-04 09:44:44	ga_ls7e_ard_3-1-0_097071_2019-09-04_final
2019-09-20 09:44:02	ga_ls7e_ard_3-1-0_097071_2019-09-20_final
2019-10-06 09:43:21	ga_ls7e_ard_3-1-0_097071_2019-10-06_final
2019-10-22 09:42:41	ga_ls7e_ard_3-1-0_097071_2019-10-22_final
2019-11-07 09:41:58	ga_ls7e_ard_3-1-0_097071_2019-11-07_final
2019-11-23 09:41:14	ga_ls7e_ard_3-1-0_097071_2019-11-23_final
2019-12-09 09:40:27	ga_ls7e_ard_3-1-0_097071_2019-12-09_final
2019-12-25 09:39:38	ga_ls7e_ard_3-1-0_097071_2019-12-25_final
2020-01-10 09:38:48	ga_ls7e_ard_3-1-0_097071_2020-01-10_final
2020-01-26 09:38:01	ga_ls7e_ard_3-1-0_097071_2020-01-26_final
2020-02-11 09:37:12	ga_ls7e_ard_3-1-0_097071_2020-02-11_final
2020-03-14 09:35:30	ga_ls7e_ard_3-1-0_097071_2020-03-14_final
2020-03-30 09:34:36	ga_ls7e_ard_3-1-0_097071_2020-03-30_final
2020-04-15 09:33:41	ga_ls7e_ard_3-1-0_097071_2020-04-15_final
2020-05-01 09:32:44	ga_ls7e_ard_3-1-0_097071_2020-05-01_final
2020-05-17 09:31:46	ga_ls7e_ard_3-1-0_097071_2020-05-17_final
2020-07-04 09:28:55	ga_ls7e_ard_3-1-0_097071_2020-07-03_final
2020-07-20 09:27:56	ga_ls7e_ard_3-1-0_097071_2020-07-19_final
2020-08-05 09:26:57	ga_ls7e_ard_3-1-0_097071_2020-08-04_final
2020-08-21 09:25:55	ga_ls7e_ard_3-1-0_097071_2020-08-20_final
2020-09-06 09:24:53	ga_ls7e_ard_3-1-0_097071_2020-09-05_final
2020-09-22 09:23:49	ga_ls7e_ard_3-1-0_097071_2020-09-21_final
2020-10-08 09:22:48	ga_ls7e_ard_3-1-0_097071_2020-10-07_final
2020-10-24 09:21:46	ga_ls7e_ard_3-1-0_097071_2020-10-23_final
2020-11-09 09:20:41	ga_ls7e_ard_3-1-0_097071_2020-11-08_final
2020-11-25 09:19:34	ga_ls7e_ard_3-1-0_097071_2020-11-24_final
2020-12-27 09:17:12	ga_ls7e_ard_3-1-0_097071_2020-12-26_final
2021-01-12 09:16:05	ga_ls7e_ard_3-1-0_097071_2021-01-11_final
2021-01-28 09:14:56	ga_ls7e_ard_3-2-0_097071_2021-01-27_final
2021-02-13 09:13:45	ga_ls7e_ard_3-2-0_097071_2021-02-12_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-17 09:11:16	ga_ls7e_ard_3-2-0_097071_2021-03-16_final
2021-04-02 09:09:59	ga_ls7e_ard_3-2-0_097071_2021-04-01_final
2021-04-18 09:08:39	ga_ls7e_ard_3-2-0_097071_2021-04-17_final
2021-05-04 09:07:18	ga_ls7e_ard_3-2-0_097071_2021-05-03_final
2021-05-20 09:05:57	ga_ls7e_ard_3-2-0_097071_2021-05-19_final
2021-06-05 09:04:35	ga_ls7e_ard_3-2-0_097071_2021-06-04_final
2021-06-21 09:03:17	ga_ls7e_ard_3-2-0_097071_2021-06-20_final
2021-07-07 09:01:57	ga_ls7e_ard_3-2-0_097071_2021-07-06_final
2021-07-23 09:00:34	ga_ls7e_ard_3-2-0_097071_2021-07-22_final
2021-08-08 08:59:10	ga_ls7e_ard_3-2-0_097071_2021-08-07_final
2021-08-24 08:57:46	ga_ls7e_ard_3-2-0_097071_2021-08-23_final
2021-09-09 08:56:22	ga_ls7e_ard_3-2-0_097071_2021-09-08_final
2021-09-25 08:54:57	ga_ls7e_ard_3-2-0_097071_2021-09-24_final
2021-10-11 08:53:32	ga_ls7e_ard_3-2-0_097071_2021-10-10_final
2021-10-27 08:52:05	ga_ls7e_ard_3-2-0_097071_2021-10-26_final
2021-11-12 08:50:34	ga_ls7e_ard_3-2-0_097071_2021-11-11_final
2021-11-28 08:49:02	ga_ls7e_ard_3-2-1_097071_2021-11-27_final
2021-12-14 08:47:31	ga_ls7e_ard_3-2-1_097071_2021-12-13_final
2022-01-15 08:44:24	ga_ls7e_ard_3-2-1_097071_2022-01-14_final
2022-02-16 08:41:11	ga_ls7e_ard_3-2-1_097071_2022-02-15_final
2022-03-04 08:39:40	ga_ls7e_ard_3-2-1_097071_2022-03-03_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