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
1999-10-13 11:45:01	ga_ls7e_ard_3-1-0_115077_1999-10-13_final
2000-10-31 11:41:34	ga_ls7e_ard_3-0-0_115075_2000-10-31_final
2001-04-02 11:37:07	ga_ls7e_ard_3-0-0_114080_2001-04-02_final
2001-06-05 11:35:53	ga_ls7e_ard_3-0-0_114078_2001-06-05_final
2001-11-21 11:30:58	ga_ls7e_ard_3-0-0_113084_2001-11-21_final
2002-04-28 11:40:49	ga_ls7e_ard_3-0-0_115077_2002-04-28_final
2003-12-11 11:40:45	ga_ls7e_ard_3-1-0_115077_2003-12-11_final
2004-01-05 11:34:20	ga_ls7e_ard_3-0-0_114076_2004-01-05_final
2004-10-19 11:33:42	ga_ls7e_ard_3-0-0_114075_2004-10-19_final
2004-11-20 11:35:13	ga_ls7e_ard_3-0-0_114078_2004-11-20_final
2004-12-29 11:40:32	ga_ls7e_ard_3-0-0_115075_2004-12-29_final
2005-02-01 11:31:54	ga_ls7e_ard_3-0-0_113084_2005-02-01_final
2005-10-29 11:40:31	ga_ls7e_ard_3-0-0_115075_2005-10-29_final
2006-09-07 11:35:48	ga_ls7e_ard_3-0-0_114078_2006-09-07_final
2006-10-02 11:31:03	ga_ls7e_ard_3-0-0_113082_2006-10-02_final
2006-10-16 11:40:42	ga_ls7e_ard_3-0-0_115075_2006-10-16_final
2006-12-12 11:34:47	ga_ls7e_ard_3-0-0_114074_2006-12-12_final
2007-02-07 11:32:01	ga_ls7e_ard_3-0-0_113082_2007-02-07_final
2007-04-03 11:35:10	ga_ls7e_ard_3-0-0_114074_2007-04-03_final
2008-10-05 11:40:42	ga_ls7e_ard_3-1-0_115077_2008-10-05_final
2009-08-21 11:41:23	ga_ls7e_ard_3-0-0_115075_2009-08-21_final
2009-11-25 11:41:32	ga_ls7e_ard_3-0-0_115074_2009-11-25_final
2010-01-12 11:42:40	ga_ls7e_ard_3-0-0_115075_2010-01-12_final
2010-03-10 11:39:07	ga_ls7e_ard_3-0-0_114080_2010-03-10_final
2010-04-18 11:43:01	ga_ls7e_ard_3-0-0_115074_2010-04-18_final
2011-02-18 11:35:29	ga_ls7e_ard_3-0-0_113083_2011-02-18_final
2012-01-02 11:45:13	ga_ls7e_ard_3-0-0_115075_2012-01-02_final
2013-02-23 11:38:36	ga_ls7e_ard_3-0-0_113084_2013-02-23_final
2013-03-02 11:43:10	ga_ls7e_ard_3-0-0_114080_2013-03-02_final
2014-01-07 11:48:51	ga_ls7e_ard_3-0-0_115078_2014-01-07_final
2014-03-05 11:41:48	ga_ls7e_ard_3-0-0_114075_2014-03-05_final
2014-03-21 11:43:08	ga_ls7e_ard_3-0-0_114078_2014-03-21_final
2014-06-18 11:39:02	ga_ls7e_ard_3-0-0_113082_2014-06-18_final
2014-10-31 11:43:10	ga_ls7e_ard_3-0-0_114075_2014-10-31_final
2015-01-19 11:44:46	ga_ls7e_ard_3-0-0_114078_2015-01-19_final
2016-02-07 11:49:16	ga_ls7e_ard_3-0-0_114081_2016-02-07_final
2016-07-16 11:49:11	ga_ls7e_ard_3-0-0_114079_2016-07-16_final
2017-01-31 11:54:01	ga_ls7e_ard_3-1-0_115077_2017-01-31_final
2017-02-25 11:47:04	ga_ls7e_ard_3-0-0_114075_2017-02-25_final
2017-04-05 11:53:04	ga_ls7e_ard_3-0-0_115074_2017-04-05_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-07-12 11:43:54	ga_ls7e_ard_3-0-0_113081_2017-07-12_final
2017-12-26 11:48:04	ga_ls7e_ard_3-0-0_114077_2017-12-26_final
2018-01-27 11:46:48	ga_ls7e_ard_3-0-0_114075_2018-01-27_final
2018-05-10 11:51:06	ga_ls7e_ard_3-0-0_115074_2018-05-10_final
2018-08-14 11:49:24	ga_ls7e_ard_3-0-0_115074_2018-08-14_final
2020-09-20 11:17:35	ga_ls7e_ard_3-1-0_115077_2020-09-20_final
2020-11-25 09:24:21	ga_ls7e_ard_3-1-0_097083_2020-11-24_final
2020-12-01 08:47:38	ga_ls7e_ard_3-1-0_091085_2020-11-30_final
2020-12-17 10:22:07	ga_ls7e_ard_3-1-0_107077_2020-12-17_final
2020-12-21 09:54:18	ga_ls7e_ard_3-1-0_103070_2020-12-21_final
2020-12-27 09:20:23	ga_ls7e_ard_3-1-0_097079_2020-12-26_final
2021-01-25 10:25:08	ga_ls7e_ard_3-2-0_108076_2021-01-25_final
2021-01-25 10:27:31	ga_ls7e_ard_3-2-0_108082_2021-01-25_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-24 09:00:22	ga_ls7e_ard_3-2-0_094086_2021-02-23_final
2021-02-24 10:34:51	ga_ls7e_ard_3-2-0_110075_2021-02-24_final
2021-03-01 09:15:43	ga_ls7e_ard_3-2-0_097079_2021-02-28_final
2021-03-09 10:00:57	ga_ls7e_ard_3-2-0_105070_2021-03-09_final
2021-03-25 10:00:04	ga_ls7e_ard_3-2-0_105071_2021-03-25_final
2021-04-10 08:24:40	ga_ls7e_ard_3-2-0_089083_2021-04-09_final
2021-04-18 09:09:02	ga_ls7e_ard_3-2-0_097072_2021-04-17_final
2021-04-21 09:40:05	ga_ls7e_ard_3-2-0_102073_2021-04-21_final
2021-05-01 10:17:31	ga_ls7e_ard_3-2-0_108076_2021-05-01_final
2021-05-16 09:35:24	ga_ls7e_ard_3-2-0_101082_2021-05-16_final
2021-05-23 09:37:23	ga_ls7e_ard_3-2-0_102073_2021-05-23_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-05 10:48:15	ga_ls7e_ard_3-2-0_113083_2021-06-05_final
2021-06-11 10:05:54	ga_ls7e_ard_3-2-0_107071_2021-06-11_final
2021-07-12 09:24:27	ga_ls7e_ard_3-2-0_100082_2021-07-11_final
2021-07-25 10:25:19	ga_ls7e_ard_3-2-0_111067_2021-07-25_final
2021-07-25 10:30:55	ga_ls7e_ard_3-2-0_111081_2021-07-25_final
2021-07-29 08:28:58	ga_ls7e_ard_3-2-0_091086_2021-07-28_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-12 08:39:41	ga_ls7e_ard_3-2-0_093085_2021-08-11_final
2021-08-23 08:20:34	ga_ls7e_ard_3-2-0_090086_2021-08-22_final
2021-08-26 08:50:49	ga_ls7e_ard_3-2-0_095085_2021-08-25_final
2021-08-30 10:00:14	ga_ls7e_ard_3-2-0_107074_2021-08-30_final
2021-09-11 10:23:55	ga_ls7e_ard_3-2-0_111074_2021-09-11_final
2021-09-12 09:26:13	ga_ls7e_ard_3-2-0_102069_2021-09-11_final
2021-09-18 08:54:59	ga_ls7e_ard_3-2-0_096085_2021-09-17_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-10-06 08:41:49	ga_ls7e_ard_3-2-0_094087_2021-10-05_final
2021-10-07 09:20:36	ga_ls7e_ard_3-2-0_101076_2021-10-06_final
2021-10-08 08:25:18	ga_ls7e_ard_3-2-0_092077_2021-10-07_final
2021-10-25 09:03:02	ga_ls7e_ard_3-2-0_099067_2021-10-24_final
2021-11-07 10:15:47	ga_ls7e_ard_3-2-0_110082_2021-11-07_final
2021-11-09 09:59:38	ga_ls7e_ard_3-2-0_108073_2021-11-09_final
2021-11-11 09:48:17	ga_ls7e_ard_3-2-0_106076_2021-11-11_final
2021-12-05 08:54:57	ga_ls7e_ard_3-2-1_098072_2021-12-04_final
2021-12-06 09:40:07	ga_ls7e_ard_3-2-1_105077_2021-12-06_final
2021-12-14 08:47:55	ga_ls7e_ard_3-2-1_097072_2021-12-13_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-02-02 08:36:16	ga_ls7e_ard_3-2-1_095086_2022-02-01_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-18 10:08:43	ga_ls7e_ard_3-2-1_111074_2022-02-18_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-08 08:20:32	ga_ls7e_ard_3-2-1_093086_2022-03-07_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