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
2000-03-04 10:58:34	ga_ls7e_ard_3-0-0_108070_2000-03-04_final
2000-04-06 11:44:50	ga_ls7e_ard_3-0-0_115078_2000-04-06_final
2000-09-17 11:15:50	ga_ls7e_ard_3-0-0_111072_2000-09-17_final
2004-01-05 11:35:56	ga_ls7e_ard_3-0-0_114080_2004-01-05_final
2004-04-21 11:14:47	ga_ls7e_ard_3-0-0_111073_2004-04-21_final
2004-06-22 11:29:52	ga_ls7e_ard_3-0-0_113080_2004-06-22_final
2004-07-05 10:54:57	ga_ls7e_ard_3-0-0_108070_2004-07-05_final
2005-01-14 11:40:12	ga_ls7e_ard_3-0-0_115074_2005-01-14_final
2005-03-02 11:01:13	ga_ls7e_ard_3-0-0_108084_2005-03-02_final
2005-07-09 11:41:26	ga_ls7e_ard_3-1-0_115077_2005-07-09_final
2005-09-08 11:08:14	ga_ls7e_ard_3-1-0_110072_2005-09-08_final
2005-10-10 11:07:21	ga_ls7e_ard_3-0-0_110070_2005-10-10_final
2006-02-08 11:02:58	ga_ls7e_ard_3-0-0_109072_2006-02-08_final
2006-02-20 11:32:07	ga_ls7e_ard_3-0-0_113083_2006-02-20_final
2006-03-14 10:51:04	ga_ls7e_ard_3-0-0_107073_2006-03-14_final
2006-03-14 10:55:27	ga_ls7e_ard_3-0-0_107084_2006-03-14_final
2006-03-26 11:15:46	ga_ls7e_ard_3-0-0_111073_2006-03-26_final
2006-07-05 11:35:42	ga_ls7e_ard_3-0-0_114077_2006-07-05_final
2007-04-12 11:32:09	ga_ls7e_ard_3-0-0_113082_2007-04-12_final
2007-05-21 11:36:57	ga_ls7e_ard_3-0-0_114079_2007-05-21_final
2007-07-23 10:51:32	ga_ls7e_ard_3-0-0_107074_2007-07-23_final
2007-08-22 11:04:07	ga_ls7e_ard_3-0-0_109075_2007-08-22_final
2007-12-03 11:08:33	ga_ls7e_ard_3-0-0_110070_2007-12-03_final
2008-02-28 11:15:54	ga_ls7e_ard_3-0-0_111073_2008-02-28_final
2008-04-30 11:30:55	ga_ls7e_ard_3-0-0_113080_2008-04-30_final
2008-05-02 11:17:21	ga_ls7e_ard_3-0-0_111077_2008-05-02_final
2008-05-18 11:14:52	ga_ls7e_ard_3-0-0_111071_2008-05-18_final
2008-05-18 11:18:51	ga_ls7e_ard_3-0-0_111081_2008-05-18_final
2008-12-16 10:50:52	ga_ls7e_ard_3-0-0_107074_2008-12-16_final
2009-06-20 11:31:39	ga_ls7e_ard_3-0-0_113081_2009-06-20_final
2009-09-30 10:50:41	ga_ls7e_ard_3-0-0_107072_2009-09-30_final
2009-10-23 10:56:37	ga_ls7e_ard_3-0-0_108071_2009-10-23_final
2009-12-08 11:09:58	ga_ls7e_ard_3-1-0_110072_2009-12-08_final
2010-03-25 10:51:57	ga_ls7e_ard_3-0-0_107070_2010-03-25_final
2010-09-09 11:44:17	ga_ls7e_ard_3-1-0_115077_2010-09-09_final
2010-11-05 11:38:48	ga_ls7e_ard_3-0-0_114078_2010-11-05_final
2011-03-19 11:01:54	ga_ls7e_ard_3-0-0_108076_2011-03-19_final
2011-07-03 11:40:32	ga_ls7e_ard_3-0-0_114080_2011-07-03_final
2011-10-11 11:12:43	ga_ls7e_ard_3-0-0_110073_2011-10-11_final
2011-12-10 11:40:48	ga_ls7e_ard_3-0-0_114080_2011-12-10_final
2012-08-03 11:08:18	ga_ls7e_ard_3-0-0_109073_2012-08-03_final
2012-10-24 10:55:59	ga_ls7e_ard_3-0-0_107071_2012-10-24_final
2013-08-13 11:19:09	ga_ls7e_ard_3-0-0_110084_2013-08-13_final
2013-09-09 10:55:45	ga_ls7e_ard_3-0-0_107071_2013-09-09_final
2014-04-05 10:56:45	ga_ls7e_ard_3-0-0_107070_2014-04-05_final
2014-08-05 11:33:18	ga_ls7e_ard_3-0-0_113067_2014-08-05_final
2014-10-01 11:27:20	ga_ls7e_ard_3-0-0_112067_2014-10-01_final
2015-03-31 11:51:28	ga_ls7e_ard_3-0-0_115078_2015-03-31_final
2015-09-11 11:29:35	ga_ls7e_ard_3-0-0_111083_2015-09-11_final
2015-10-22 11:18:38	ga_ls7e_ard_3-0-0_110070_2015-10-22_final
2016-01-17 11:31:44	ga_ls7e_ard_3-0-0_111084_2016-01-17_final
2016-01-26 11:20:04	ga_ls7e_ard_3-0-0_110070_2016-01-26_final
2016-02-20 11:17:12	ga_ls7e_ard_3-0-0_109078_2016-02-20_final
2016-03-10 11:47:05	ga_ls7e_ard_3-0-0_114075_2016-03-10_final
2016-03-28 11:37:37	ga_ls7e_ard_3-0-0_112082_2016-03-28_final
2016-05-01 11:22:40	ga_ls7e_ard_3-0-0_110075_2016-05-01_final
2016-09-17 11:02:29	ga_ls7e_ard_3-0-0_107070_2016-09-17_final
2016-11-25 11:20:50	ga_ls7e_ard_3-0-0_110070_2016-11-25_final
2017-05-20 11:21:36	ga_ls7e_ard_3-1-0_110072_2017-05-20_final
2017-08-29 11:38:16	ga_ls7e_ard_3-0-0_113067_2017-08-29_final
2017-11-14 11:08:57	ga_ls7e_ard_3-0-0_108071_2017-11-14_final
2018-01-02 11:53:21	ga_ls7e_ard_3-0-0_115075_2018-01-02_final
2018-02-21 11:43:54	ga_ls7e_ard_3-0-0_113084_2018-02-21_final
2018-03-31 11:02:21	ga_ls7e_ard_3-0-0_107074_2018-03-31_final
2018-08-23 11:45:50	ga_ls7e_ard_3-0-0_114081_2018-08-23_final
2019-01-09 11:18:40	ga_ls7e_ard_3-0-0_111068_2019-01-09_final
2019-01-20 11:00:35	ga_ls7e_ard_3-0-0_108070_2019-01-20_final
2019-09-17 10:52:56	ga_ls7e_ard_3-1-0_108073_2019-09-17_final
2020-03-16 11:00:43	ga_ls7e_ard_3-1-0_111068_2020-03-16_final
2020-05-07 10:35:22	ga_ls7e_ard_3-1-0_107074_2020-05-07_final
2020-05-14 10:41:07	ga_ls7e_ard_3-1-0_108074_2020-05-14_final
2020-05-24 11:17:59	ga_ls7e_ard_3-1-0_114075_2020-05-24_final
2020-07-01 10:37:04	ga_ls7e_ard_3-1-0_108071_2020-07-01_final
2020-07-01 10:39:04	ga_ls7e_ard_3-1-0_108076_2020-07-01_final
2020-08-05 11:07:01	ga_ls7e_ard_3-1-0_113074_2020-08-05_final
2020-12-13 10:45:09	ga_ls7e_ard_3-1-0_111072_2020-12-13_final
2020-12-25 09:30:53	ga_ls7e_ard_3-1-0_099074_2020-12-25_final
2021-02-08 10:38:51	ga_ls7e_ard_3-2-0_110082_2021-02-08_final
2021-02-28 10:09:49	ga_ls7e_ard_3-2-0_106075_2021-02-28_final
2021-03-10 09:04:03	ga_ls7e_ard_3-2-0_096067_2021-03-09_final
2021-03-30 10:19:00	ga_ls7e_ard_3-2-0_108073_2021-03-30_final
2021-04-16 11:02:03	ga_ls7e_ard_3-2-0_115076_2021-04-16_final
2021-04-23 09:28:45	ga_ls7e_ard_3-2-0_100076_2021-04-22_final
2021-05-25 09:24:27	ga_ls7e_ard_3-2-0_100072_2021-05-24_final
2021-06-07 08:58:27	ga_ls7e_ard_3-2-0_095087_2021-06-06_final
2021-06-11 10:07:06	ga_ls7e_ard_3-2-0_107074_2021-06-11_final
2021-06-23 10:30:50	ga_ls7e_ard_3-2-0_111074_2021-06-23_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-07-06 10:02:26	ga_ls7e_ard_3-2-0_106083_2021-07-06_final
2021-08-07 09:56:52	ga_ls7e_ard_3-2-0_106076_2021-08-07_final
2021-08-30 08:26:57	ga_ls7e_ard_3-2-0_091088_2021-08-29_final
2021-11-03 08:58:25	ga_ls7e_ard_3-2-0_098073_2021-11-02_final
2021-11-10 10:43:12	ga_ls7e_ard_3-2-0_115074_2021-11-10_final
2021-12-01 09:18:27	ga_ls7e_ard_3-2-1_102068_2021-11-30_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-13 09:42:26	ga_ls7e_ard_3-2-1_106069_2021-12-13_final
2021-12-22 09:35:23	ga_ls7e_ard_3-2-1_105069_2021-12-22_final
2022-01-06 08:51:49	ga_ls7e_ard_3-2-1_098072_2022-01-05_final
2022-03-06 10:08:47	ga_ls7e_ard_3-2-1_111078_2022-03-06_final
2022-03-12 07:55:01	ga_ls7e_ard_3-2-1_089085_2022-03-11_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