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
2000-01-17 11:45:12	ga_ls7e_ard_3-0-0_115078_2000-01-17_final
2001-01-26 11:49:06	ga_ls7e_ard_3-0-0_116078_2001-01-26_final
2001-11-19 11:41:20	ga_ls7e_ard_3-0-0_115079_2001-11-19_final
2004-03-16 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-03-16_final
2005-07-09 11:41:26	ga_ls7e_ard_3-1-0_115077_2005-07-09_final
2006-07-12 11:41:49	ga_ls7e_ard_3-1-0_115077_2006-07-12_final
2007-05-12 11:42:47	ga_ls7e_ard_3-0-0_115078_2007-05-12_final
2007-08-16 11:42:26	ga_ls7e_ard_3-0-0_115078_2007-08-16_final
2007-12-22 11:41:56	ga_ls7e_ard_3-0-0_115076_2007-12-22_final
2008-05-14 11:42:24	ga_ls7e_ard_3-0-0_115078_2008-05-14_final
2008-10-05 11:41:06	ga_ls7e_ard_3-0-0_115078_2008-10-05_final
2009-06-02 11:42:03	ga_ls7e_ard_3-0-0_115076_2009-06-02_final
2009-10-24 11:42:41	ga_ls7e_ard_3-0-0_115078_2009-10-24_final
2010-04-18 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-04-18_final
2011-01-15 11:45:42	ga_ls7e_ard_3-0-0_115078_2011-01-15_final
2012-07-12 11:46:45	ga_ls7e_ard_3-1-0_115077_2012-07-12_final
2012-11-01 11:46:39	ga_ls7e_ard_3-0-0_115074_2012-11-01_final
2012-11-01 11:48:15	ga_ls7e_ard_3-0-0_115078_2012-11-01_final
2013-02-05 11:49:01	ga_ls7e_ard_3-0-0_115079_2013-02-05_final
2015-06-19 11:51:13	ga_ls7e_ard_3-0-0_115076_2015-06-19_final
2016-03-01 11:53:33	ga_ls7e_ard_3-0-0_115076_2016-03-01_final
2016-08-24 11:55:04	ga_ls7e_ard_3-0-0_115078_2016-08-24_final
2016-09-09 11:53:31	ga_ls7e_ard_3-0-0_115074_2016-09-09_final
2017-02-16 11:53:10	ga_ls7e_ard_3-0-0_115075_2017-02-16_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2019-02-06 11:44:54	ga_ls7e_ard_3-0-0_115074_2019-02-06_final
2020-02-09 11:29:45	ga_ls7e_ard_3-1-0_115074_2020-02-09_final
2020-11-21 09:44:34	ga_ls7e_ard_3-1-0_101071_2020-11-21_final
2020-11-23 09:30:28	ga_ls7e_ard_3-1-0_099067_2020-11-23_final
2020-11-25 09:20:22	ga_ls7e_ard_3-1-0_097073_2020-11-24_final
2020-12-02 09:23:38	ga_ls7e_ard_3-1-0_098067_2020-12-01_final
2020-12-02 09:24:02	ga_ls7e_ard_3-1-0_098068_2020-12-01_final
2020-12-02 09:28:49	ga_ls7e_ard_3-1-0_098080_2020-12-01_final
2020-12-06 10:39:54	ga_ls7e_ard_3-1-0_110073_2020-12-06_final
2020-12-17 08:46:26	ga_ls7e_ard_3-1-0_091085_2020-12-16_final
2020-12-17 10:19:20	ga_ls7e_ard_3-1-0_107070_2020-12-17_final
2020-12-21 09:57:29	ga_ls7e_ard_3-1-0_103078_2020-12-21_final
2020-12-26 08:41:11	ga_ls7e_ard_3-1-0_090089_2020-12-25_final
2020-12-30 09:52:17	ga_ls7e_ard_3-1-0_102082_2020-12-30_final
2021-01-04 08:32:48	ga_ls7e_ard_3-1-0_089085_2021-01-03_final
2021-01-10 11:09:04	ga_ls7e_ard_3-1-0_115075_2021-01-10_final
2021-01-18 10:17:28	ga_ls7e_ard_3-1-0_107071_2021-01-18_final
2021-01-20 10:04:09	ga_ls7e_ard_3-2-0_105069_2021-01-20_final
2021-02-04 11:03:04	ga_ls7e_ard_3-2-0_114080_2021-02-04_final
2021-02-06 09:13:17	ga_ls7e_ard_3-2-0_096084_2021-02-05_final
2021-02-21 08:29:42	ga_ls7e_ard_3-2-0_089086_2021-02-20_final
2021-02-21 10:04:35	ga_ls7e_ard_3-2-0_105076_2021-02-21_final
2021-03-04 09:47:11	ga_ls7e_ard_3-2-0_102081_2021-03-04_final
2021-03-19 09:00:21	ga_ls7e_ard_3-2-0_095075_2021-03-18_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-03-31 09:22:30	ga_ls7e_ard_3-2-0_099071_2021-03-30_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-05-03 10:04:59	ga_ls7e_ard_3-2-0_106076_2021-05-03_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-27 09:16:43	ga_ls7e_ard_3-2-0_098084_2021-05-26_final
2021-05-28 09:53:30	ga_ls7e_ard_3-2-0_105068_2021-05-28_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-06-23 10:28:03	ga_ls7e_ard_3-2-0_111067_2021-06-23_final
2021-07-05 09:19:16	ga_ls7e_ard_3-2-0_099083_2021-07-04_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-23 09:04:10	ga_ls7e_ard_3-2-0_097080_2021-07-22_final
2021-07-27 10:16:23	ga_ls7e_ard_3-2-0_109076_2021-07-27_final
2021-07-27 10:16:47	ga_ls7e_ard_3-2-0_109077_2021-07-27_final
2021-08-12 10:14:34	ga_ls7e_ard_3-2-0_109075_2021-08-12_final
2021-08-16 09:46:42	ga_ls7e_ard_3-2-0_105068_2021-08-16_final
2021-08-27 09:32:24	ga_ls7e_ard_3-2-0_102081_2021-08-27_final
2021-08-31 09:02:32	ga_ls7e_ard_3-2-0_098069_2021-08-30_final
2021-09-25 09:00:08	ga_ls7e_ard_3-2-0_097084_2021-09-24_final
2021-10-11 10:33:37	ga_ls7e_ard_3-2-0_113074_2021-10-11_final
2021-10-24 10:01:56	ga_ls7e_ard_3-2-0_108075_2021-10-24_final
2021-10-28 09:39:39	ga_ls7e_ard_3-2-0_104082_2021-10-28_final
2021-11-11 08:13:24	ga_ls7e_ard_3-2-0_090086_2021-11-10_final
2021-11-14 10:16:54	ga_ls7e_ard_3-2-1_111071_2021-11-14_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-11-22 09:25:28	ga_ls7e_ard_3-2-1_103068_2021-11-21_final
2021-11-24 09:15:43	ga_ls7e_ard_3-2-1_101075_2021-11-23_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2021-11-26 10:43:38	ga_ls7e_ard_3-2-1_115079_2021-11-26_final
2021-12-04 09:50:16	ga_ls7e_ard_3-2-1_107071_2021-12-04_final
2021-12-05 08:54:33	ga_ls7e_ard_3-2-1_098071_2021-12-04_final
2021-12-06 09:39:19	ga_ls7e_ard_3-2-1_105075_2021-12-06_final
2021-12-06 09:39:43	ga_ls7e_ard_3-2-1_105076_2021-12-06_final
2021-12-13 08:08:45	ga_ls7e_ard_3-2-1_090082_2021-12-12_final
2021-12-29 08:08:46	ga_ls7e_ard_3-2-1_090086_2021-12-28_final
2022-01-02 09:16:08	ga_ls7e_ard_3-2-1_102070_2022-01-01_final
2022-01-05 09:47:31	ga_ls7e_ard_3-2-1_107072_2022-01-05_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-14 09:38:55	ga_ls7e_ard_3-2-1_106068_2022-01-14_final
2022-01-30 09:43:21	ga_ls7e_ard_3-2-1_106083_2022-01-30_final
2022-01-31 08:48:26	ga_ls7e_ard_3-2-1_097085_2022-01-30_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_final
2022-02-01 09:26:00	ga_ls7e_ard_3-2-1_104071_2022-01-31_final
2022-02-06 09:48:49	ga_ls7e_ard_3-2-1_107083_2022-02-06_final
2022-02-08 07:58:35	ga_ls7e_ard_3-2-1_089086_2022-02-07_final
2022-02-09 08:36:33	ga_ls7e_ard_3-2-1_096073_2022-02-08_final
2022-02-09 10:19:49	ga_ls7e_ard_3-2-1_112084_2022-02-09_final
2022-03-10 08:06:47	ga_ls7e_ard_3-2-1_091083_2022-03-09_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_2022-03-24_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years