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
2001-05-27 11:41:01	ga_ls7e_ard_3-0-0_115075_2001-05-27_final
2002-04-21 11:35:00	ga_ls7e_ard_3-0-0_114078_2002-04-21_final
2002-10-21 11:38:59	ga_ls7e_ard_3-0-0_115075_2002-10-21_final
2003-03-23 11:33:17	ga_ls7e_ard_3-0-0_114074_2003-03-23_final
2003-05-01 11:39:58	ga_ls7e_ard_3-0-0_115075_2003-05-01_final
2004-01-21 11:33:38	ga_ls7e_ard_3-0-0_114074_2004-01-21_final
2004-06-20 11:40:13	ga_ls7e_ard_3-0-0_115075_2004-06-20_final
2005-02-15 11:40:25	ga_ls7e_ard_3-0-0_115074_2005-02-15_final
2006-01-10 11:36:27	ga_ls7e_ard_3-0-0_114079_2006-01-10_final
2006-02-27 11:36:43	ga_ls7e_ard_3-0-0_114079_2006-02-27_final
2006-08-29 11:41:38	ga_ls7e_ard_3-1-0_115077_2006-08-29_final
2006-09-07 11:34:13	ga_ls7e_ard_3-0-0_114074_2006-09-07_final
2006-11-17 11:41:09	ga_ls7e_ard_3-0-0_115075_2006-11-17_final
2007-07-31 11:40:56	ga_ls7e_ard_3-0-0_115074_2007-07-31_final
2008-01-07 11:41:34	ga_ls7e_ard_3-0-0_115075_2008-01-07_final
2008-10-05 11:39:31	ga_ls7e_ard_3-0-0_115074_2008-10-05_final
2008-12-01 11:36:22	ga_ls7e_ard_3-0-0_114080_2008-12-01_final
2009-02-10 11:42:39	ga_ls7e_ard_3-0-0_115079_2009-02-10_final
2010-05-06 11:34:36	ga_ls7e_ard_3-0-0_113084_2010-05-06_final
2010-06-21 11:42:58	ga_ls7e_ard_3-0-0_115074_2010-06-21_final
2010-12-30 11:44:22	ga_ls7e_ard_3-0-0_115075_2010-12-30_final
2011-03-13 11:38:11	ga_ls7e_ard_3-0-0_114074_2011-03-13_final
2011-05-07 11:44:49	ga_ls7e_ard_3-0-0_115075_2011-05-07_final
2011-10-30 11:44:10	ga_ls7e_ard_3-0-0_115074_2011-10-30_final
2011-12-26 11:40:58	ga_ls7e_ard_3-0-0_114080_2011-12-26_final
2012-03-06 11:44:54	ga_ls7e_ard_3-0-0_115074_2012-03-06_final
2012-06-26 11:45:42	ga_ls7e_ard_3-0-0_115075_2012-06-26_final
2012-09-23 11:37:21	ga_ls7e_ard_3-0-0_114067_2012-09-23_final
2012-12-28 11:41:59	ga_ls7e_ard_3-0-0_114077_2012-12-28_final
2013-09-10 11:37:26	ga_ls7e_ard_3-0-0_114067_2013-09-10_final
2014-04-22 11:39:00	ga_ls7e_ard_3-0-0_114067_2014-04-22_final
2014-12-25 11:50:56	ga_ls7e_ard_3-0-0_115078_2014-12-25_final
2015-10-09 11:50:53	ga_ls7e_ard_3-0-0_115074_2015-10-09_final
2015-10-18 11:44:53	ga_ls7e_ard_3-0-0_114074_2015-10-18_final
2015-10-18 11:46:29	ga_ls7e_ard_3-0-0_114078_2015-10-18_final
2016-12-23 11:47:01	ga_ls7e_ard_3-0-0_114074_2016-12-23_final
2017-01-24 11:46:40	ga_ls7e_ard_3-0-0_114074_2017-01-24_final
2017-12-26 11:49:16	ga_ls7e_ard_3-0-0_114080_2017-12-26_final
2019-03-26 11:44:59	ga_ls7e_ard_3-1-0_115078_2019-03-26_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-12-02 11:05:43	ga_ls7e_ard_3-1-0_114075_2020-12-02_final
2020-12-02 11:08:06	ga_ls7e_ard_3-1-0_114081_2020-12-02_final
2020-12-16 09:41:20	ga_ls7e_ard_3-1-0_100083_2020-12-16_final
2020-12-31 10:31:53	ga_ls7e_ard_3-1-0_109073_2020-12-31_final
2021-01-21 10:49:44	ga_ls7e_ard_3-2-0_112075_2021-01-21_final
2021-01-24 09:41:09	ga_ls7e_ard_3-2-0_101074_2021-01-24_final
2021-01-26 11:07:31	ga_ls7e_ard_3-2-0_115074_2021-01-26_final
2021-02-03 10:15:54	ga_ls7e_ard_3-2-0_107070_2021-02-03_final
2021-02-19 10:15:06	ga_ls7e_ard_3-2-0_107071_2021-02-19_final
2021-02-21 08:27:18	ga_ls7e_ard_3-2-0_089080_2021-02-20_final
2021-02-22 09:07:41	ga_ls7e_ard_3-2-0_096073_2021-02-21_final
2021-03-04 09:47:35	ga_ls7e_ard_3-2-0_102082_2021-03-04_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-13 09:37:54	ga_ls7e_ard_3-2-0_101075_2021-03-13_final
2021-03-15 11:05:28	ga_ls7e_ard_3-2-0_115078_2021-03-15_final
2021-03-30 10:17:48	ga_ls7e_ard_3-2-0_108070_2021-03-30_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-13 08:55:43	ga_ls7e_ard_3-2-0_094084_2021-04-12_final
2021-04-15 08:39:35	ga_ls7e_ard_3-2-0_092075_2021-04-14_final
2021-05-01 10:17:31	ga_ls7e_ard_3-2-0_108076_2021-05-01_final
2021-05-04 09:06:54	ga_ls7e_ard_3-2-0_097070_2021-05-03_final
2021-05-04 09:12:29	ga_ls7e_ard_3-2-0_097084_2021-05-03_final
2021-05-06 10:34:27	ga_ls7e_ard_3-2-0_111073_2021-05-06_final
2021-05-17 10:13:47	ga_ls7e_ard_3-2-0_108070_2021-05-17_final
2021-05-17 10:17:46	ga_ls7e_ard_3-2-0_108080_2021-05-17_final
2021-05-24 10:19:46	ga_ls7e_ard_3-2-0_109071_2021-05-24_final
2021-05-29 10:43:04	ga_ls7e_ard_3-2-0_112084_2021-05-29_final
2021-06-20 10:02:35	ga_ls7e_ard_3-2-0_106080_2021-06-20_final
2021-06-23 10:28:03	ga_ls7e_ard_3-2-0_111067_2021-06-23_final
2021-07-02 08:45:02	ga_ls7e_ard_3-2-0_094074_2021-07-01_final
2021-07-05 10:54:33	ga_ls7e_ard_3-2-0_115074_2021-07-05_final
2021-08-04 09:24:14	ga_ls7e_ard_3-2-0_101071_2021-08-03_final
2021-08-19 10:18:56	ga_ls7e_ard_3-2-0_110072_2021-08-19_final
2021-08-31 09:03:20	ga_ls7e_ard_3-2-0_098071_2021-08-30_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-16 09:00:44	ga_ls7e_ard_3-2-0_098068_2021-09-15_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-09-17 09:43:54	ga_ls7e_ard_3-2-0_105068_2021-09-17_final
2021-10-08 10:02:35	ga_ls7e_ard_3-2-0_108073_2021-10-08_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-19 09:41:28	ga_ls7e_ard_3-2-0_105069_2021-10-19_final
2021-10-27 08:57:17	ga_ls7e_ard_3-2-0_097084_2021-10-26_final
2021-10-31 08:32:35	ga_ls7e_ard_3-2-0_093085_2021-10-30_final
2021-10-31 10:06:40	ga_ls7e_ard_3-2-0_109073_2021-10-31_final
2021-11-25 09:56:53	ga_ls7e_ard_3-2-1_108070_2021-11-25_final
2021-12-05 10:37:01	ga_ls7e_ard_3-2-1_114080_2021-12-05_final
2021-12-20 08:12:39	ga_ls7e_ard_3-2-1_091078_2021-12-19_final
2021-12-20 08:14:39	ga_ls7e_ard_3-2-1_091083_2021-12-19_final
2021-12-23 08:40:04	ga_ls7e_ard_3-2-1_096070_2021-12-22_final
2022-01-12 09:52:15	ga_ls7e_ard_3-2-1_108070_2022-01-12_final
2022-01-13 10:38:37	ga_ls7e_ard_3-2-1_115078_2022-01-13_final
2022-01-18 09:15:01	ga_ls7e_ard_3-2-1_102071_2022-01-17_final
2022-01-18 09:16:36	ga_ls7e_ard_3-2-1_102075_2022-01-17_final
2022-01-19 09:59:22	ga_ls7e_ard_3-2-1_109074_2022-01-19_final
2022-01-31 08:45:38	ga_ls7e_ard_3-2-1_097078_2022-01-30_final
2022-02-14 10:35:02	ga_ls7e_ard_3-2-1_115077_2022-02-14_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_final
2022-02-17 09:23:57	ga_ls7e_ard_3-2-1_104070_2022-02-16_final
2022-03-07 09:11:04	ga_ls7e_ard_3-2-1_102073_2022-03-06_final
2022-03-12 09:32:18	ga_ls7e_ard_3-2-1_105081_2022-03-12_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years