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
2000-04-13 10:10:25	ga_ls7e_ard_3-0-0_100074_2000-04-13_final
2001-03-15 10:08:23	ga_ls7e_ard_3-0-0_100074_2001-03-15_final
2001-03-31 10:08:15	ga_ls7e_ard_3-0-0_100074_2001-03-31_final
2002-03-18 10:06:54	ga_ls7e_ard_3-0-0_100074_2002-03-18_final
2002-06-22 10:06:34	ga_ls7e_ard_3-0-0_100074_2002-06-22_final
2002-07-08 10:06:31	ga_ls7e_ard_3-0-0_100074_2002-07-08_final
2002-11-13 10:05:59	ga_ls7e_ard_3-0-0_100074_2002-11-13_final
2003-03-05 10:06:50	ga_ls7e_ard_3-0-0_100074_2003-03-05_final
2003-03-21 10:06:47	ga_ls7e_ard_3-0-0_100074_2003-03-21_final
2003-04-06 10:06:51	ga_ls7e_ard_3-0-0_100074_2003-04-06_final
2003-05-24 10:06:47	ga_ls7e_ard_3-0-0_100074_2003-05-24_final
2003-08-12 10:06:30	ga_ls7e_ard_3-0-0_100074_2003-08-12_final
2004-03-23 10:07:23	ga_ls7e_ard_3-0-0_100074_2004-03-23_final
2004-04-24 10:07:14	ga_ls7e_ard_3-0-0_100074_2004-04-24_final
2005-03-10 10:07:48	ga_ls7e_ard_3-0-0_100074_2005-03-10_final
2005-12-07 10:07:42	ga_ls7e_ard_3-0-0_100074_2005-12-07_final
2006-01-08 10:07:55	ga_ls7e_ard_3-0-0_100074_2006-01-08_final
2006-01-24 10:08:03	ga_ls7e_ard_3-0-0_100074_2006-01-24_final
2006-05-16 10:08:10	ga_ls7e_ard_3-0-0_100074_2006-05-16_final
2006-09-05 10:07:42	ga_ls7e_ard_3-0-0_100074_2006-09-05_final
2006-10-23 10:07:43	ga_ls7e_ard_3-0-0_100074_2006-10-23_final
2007-02-12 10:08:31	ga_ls7e_ard_3-0-0_100074_2007-02-12_final
2008-03-18 10:08:14	ga_ls7e_ard_3-0-0_100074_2008-03-18_final
2008-11-13 10:07:14	ga_ls7e_ard_3-0-0_100074_2008-11-13_final
2008-12-15 10:07:35	ga_ls7e_ard_3-0-0_100074_2008-12-15_final
2009-05-24 10:08:33	ga_ls7e_ard_3-0-0_100074_2009-05-24_final
2009-10-15 10:08:14	ga_ls7e_ard_3-0-0_100074_2009-10-15_final
2011-07-17 10:11:37	ga_ls7e_ard_3-0-0_100074_2011-07-17_final
2011-08-18 10:11:30	ga_ls7e_ard_3-0-0_100074_2011-08-18_final
2012-01-25 10:12:05	ga_ls7e_ard_3-0-0_100074_2012-01-25_final
2012-02-26 10:12:14	ga_ls7e_ard_3-0-0_100074_2012-02-26_final
2012-08-04 10:13:05	ga_ls7e_ard_3-0-0_100074_2012-08-04_final
2013-01-27 10:14:18	ga_ls7e_ard_3-0-0_100074_2013-01-27_final
2013-09-08 10:13:40	ga_ls7e_ard_3-0-0_100074_2013-09-08_final
2014-11-14 10:16:21	ga_ls7e_ard_3-0-0_100074_2014-11-14_final
2015-02-18 10:16:50	ga_ls7e_ard_3-0-0_100074_2015-02-18_final
2015-09-14 10:18:01	ga_ls7e_ard_3-0-0_100074_2015-09-14_final
2016-06-12 10:20:39	ga_ls7e_ard_3-0-0_100074_2016-06-12_final
2017-06-15 10:20:43	ga_ls7e_ard_3-0-0_100074_2017-06-15_final
2018-06-02 10:18:03	ga_ls7e_ard_3-0-0_100074_2018-06-02_final
2018-08-05 10:16:52	ga_ls7e_ard_3-0-0_100074_2018-08-05_final
2018-08-21 10:16:33	ga_ls7e_ard_3-0-0_100074_2018-08-21_final
2019-03-01 10:11:30	ga_ls7e_ard_3-1-0_100074_2019-03-01_final
2019-03-17 10:10:59	ga_ls7e_ard_3-1-0_100074_2019-03-17_final
2019-07-07 10:06:54	ga_ls7e_ard_3-0-0_100074_2019-07-07_final
2019-08-08 10:05:37	ga_ls7e_ard_3-0-0_100074_2019-08-08_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-09-09 10:04:15	ga_ls7e_ard_3-1-0_100074_2019-09-09_final
2019-09-25 10:03:32	ga_ls7e_ard_3-1-0_100074_2019-09-25_final
2019-10-11 10:02:53	ga_ls7e_ard_3-1-0_100074_2019-10-11_final
2019-10-27 10:02:12	ga_ls7e_ard_3-1-0_100074_2019-10-27_final
2019-11-12 10:01:29	ga_ls7e_ard_3-1-0_100074_2019-11-12_final
2019-11-28 10:00:43	ga_ls7e_ard_3-1-0_100074_2019-11-28_final
2019-12-14 09:59:56	ga_ls7e_ard_3-1-0_100074_2019-12-14_final
2019-12-30 09:59:06	ga_ls7e_ard_3-1-0_100074_2019-12-30_final
2020-01-15 09:58:18	ga_ls7e_ard_3-1-0_100074_2020-01-15_final
2020-01-31 09:57:30	ga_ls7e_ard_3-1-0_100074_2020-01-31_final
2020-02-16 09:56:41	ga_ls7e_ard_3-1-0_100074_2020-02-16_final
2020-03-03 09:55:50	ga_ls7e_ard_3-1-0_100074_2020-03-03_final
2020-03-19 09:54:57	ga_ls7e_ard_3-1-0_100074_2020-03-19_final
2020-04-20 09:53:08	ga_ls7e_ard_3-1-0_100074_2020-04-20_final
2020-05-06 09:52:10	ga_ls7e_ard_3-1-0_100074_2020-05-06_final
2020-06-23 09:49:19	ga_ls7e_ard_3-1-0_100074_2020-06-23_final
2020-07-09 09:48:21	ga_ls7e_ard_3-1-0_100074_2020-07-09_final
2020-07-25 09:47:22	ga_ls7e_ard_3-1-0_100074_2020-07-25_final
2020-08-10 09:46:22	ga_ls7e_ard_3-1-0_100074_2020-08-10_final
2020-08-26 09:45:20	ga_ls7e_ard_3-1-0_100074_2020-08-26_final
2020-09-11 09:44:17	ga_ls7e_ard_3-1-0_100074_2020-09-11_final
2020-09-27 09:43:14	ga_ls7e_ard_3-1-0_100074_2020-09-27_final
2020-10-13 09:42:13	ga_ls7e_ard_3-1-0_100074_2020-10-13_final
2020-10-29 09:41:10	ga_ls7e_ard_3-1-0_100074_2020-10-29_final
2020-11-14 09:40:04	ga_ls7e_ard_3-1-0_100074_2020-11-14_final
2020-11-30 09:38:56	ga_ls7e_ard_3-1-0_100074_2020-11-30_final
2020-12-16 09:37:44	ga_ls7e_ard_3-1-0_100074_2020-12-16_final
2021-01-17 09:35:28	ga_ls7e_ard_3-1-0_100074_2021-01-17_final
2021-02-02 09:34:18	ga_ls7e_ard_3-2-0_100074_2021-02-02_final
2021-02-18 09:33:07	ga_ls7e_ard_3-2-0_100074_2021-02-18_final
2021-03-06 09:31:53	ga_ls7e_ard_3-2-0_100074_2021-03-06_final
2021-03-22 09:30:37	ga_ls7e_ard_3-2-0_100074_2021-03-22_final
2021-04-07 09:29:18	ga_ls7e_ard_3-2-0_100074_2021-04-06_final
2021-04-23 09:27:57	ga_ls7e_ard_3-2-0_100074_2021-04-22_final
2021-05-09 09:26:37	ga_ls7e_ard_3-2-0_100074_2021-05-08_final
2021-05-25 09:25:15	ga_ls7e_ard_3-2-0_100074_2021-05-24_final
2021-06-10 09:23:55	ga_ls7e_ard_3-2-0_100074_2021-06-09_final
2021-06-26 09:22:36	ga_ls7e_ard_3-2-0_100074_2021-06-25_final
2021-07-12 09:21:15	ga_ls7e_ard_3-2-0_100074_2021-07-11_final
2021-07-28 09:19:52	ga_ls7e_ard_3-2-0_100074_2021-07-27_final
2021-08-13 09:18:27	ga_ls7e_ard_3-2-0_100074_2021-08-12_final
2021-08-29 09:17:04	ga_ls7e_ard_3-2-0_100074_2021-08-28_final
2021-09-14 09:15:40	ga_ls7e_ard_3-2-0_100074_2021-09-13_final
2021-09-30 09:14:14	ga_ls7e_ard_3-2-0_100074_2021-09-29_final
2021-10-16 09:12:50	ga_ls7e_ard_3-2-0_100074_2021-10-15_final
2021-11-01 09:11:22	ga_ls7e_ard_3-2-0_100074_2021-10-31_final
2021-11-17 09:09:49	ga_ls7e_ard_3-2-1_100074_2021-11-16_final
2021-12-03 09:08:18	ga_ls7e_ard_3-2-1_100074_2021-12-02_final
2021-12-19 09:06:46	ga_ls7e_ard_3-2-1_100074_2021-12-18_final
2022-01-04 09:05:10	ga_ls7e_ard_3-2-1_100074_2022-01-03_final
2022-02-05 09:02:04	ga_ls7e_ard_3-2-1_100074_2022-02-04_final
2022-02-21 09:00:28	ga_ls7e_ard_3-2-1_100074_2022-02-20_final
2022-03-09 08:58:54	ga_ls7e_ard_3-2-1_100074_2022-03-08_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