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
2002-03-22 11:24:39	ga_ls7e_ard_3-0-0_112083_2002-03-22_final
2002-05-27 11:12:08	ga_ls7e_ard_3-0-0_110083_2002-05-27_final
2003-09-22 11:40:36	ga_ls7e_ard_3-0-0_115078_2003-09-22_final
2003-11-13 11:14:38	ga_ls7e_ard_3-0-0_111074_2003-11-13_final
2004-05-03 11:40:23	ga_ls7e_ard_3-0-0_115075_2004-05-03_final
2005-03-16 11:12:48	ga_ls7e_ard_3-0-0_110082_2005-03-16_final
2005-06-04 11:11:50	ga_ls7e_ard_3-0-0_110080_2005-06-04_final
2005-07-11 11:28:16	ga_ls7e_ard_3-0-0_113075_2005-07-11_final
2006-04-27 11:16:07	ga_ls7e_ard_3-0-0_111074_2006-04-27_final
2006-07-30 11:25:21	ga_ls7e_ard_3-0-0_113067_2006-07-30_final
2006-09-18 11:14:48	ga_ls7e_ard_3-0-0_111072_2006-09-18_final
2006-12-05 11:31:45	ga_ls7e_ard_3-0-0_113082_2006-12-05_final
2007-04-28 11:32:06	ga_ls7e_ard_3-0-0_113082_2007-04-28_final
2007-06-13 11:43:04	ga_ls7e_ard_3-0-0_115079_2007-06-13_final
2007-06-15 11:28:42	ga_ls7e_ard_3-0-0_113074_2007-06-15_final
2007-10-21 11:31:30	ga_ls7e_ard_3-0-0_113082_2007-10-21_final
2007-10-28 11:36:34	ga_ls7e_ard_3-0-0_114079_2007-10-28_final
2007-11-22 11:31:01	ga_ls7e_ard_3-0-0_113080_2007-11-22_final
2007-12-17 11:22:59	ga_ls7e_ard_3-0-0_112075_2007-12-17_final
2007-12-24 11:29:11	ga_ls7e_ard_3-0-0_113075_2007-12-24_final
2008-02-12 11:13:59	ga_ls7e_ard_3-0-0_111068_2008-02-12_final
2008-03-20 11:37:10	ga_ls7e_ard_3-0-0_114080_2008-03-20_final
2008-05-07 11:36:40	ga_ls7e_ard_3-0-0_114079_2008-05-07_final
2008-05-18 11:13:16	ga_ls7e_ard_3-0-0_111067_2008-05-18_final
2008-05-18 11:13:40	ga_ls7e_ard_3-0-0_111068_2008-05-18_final
2008-07-05 11:18:48	ga_ls7e_ard_3-1-0_111082_2008-07-05_final
2009-02-03 11:36:24	ga_ls7e_ard_3-0-0_114079_2009-02-03_final
2009-02-14 11:18:22	ga_ls7e_ard_3-0-0_111080_2009-02-14_final
2009-05-01 11:41:13	ga_ls7e_ard_3-0-0_115074_2009-05-01_final
2009-05-14 11:13:32	ga_ls7e_ard_3-0-0_110082_2009-05-14_final
2009-06-27 11:35:01	ga_ls7e_ard_3-0-0_114074_2009-06-27_final
2010-05-24 11:17:48	ga_ls7e_ard_3-0-0_111073_2010-05-24_final
2010-08-12 11:21:05	ga_ls7e_ard_3-0-0_111081_2010-08-12_final
2011-01-24 11:40:22	ga_ls7e_ard_3-0-0_114080_2011-01-24_final
2011-02-11 11:29:17	ga_ls7e_ard_3-0-0_112083_2011-02-11_final
2011-04-05 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-04-05_final
2011-10-02 11:16:33	ga_ls7e_ard_3-0-0_111067_2011-10-02_final
2011-12-01 11:44:32	ga_ls7e_ard_3-0-0_115074_2011-12-01_final
2011-12-10 11:38:24	ga_ls7e_ard_3-0-0_114074_2011-12-10_final
2012-01-11 11:39:27	ga_ls7e_ard_3-0-0_114076_2012-01-11_final
2012-04-09 11:36:05	ga_ls7e_ard_3-0-0_113083_2012-04-09_final
2012-05-13 11:24:47	ga_ls7e_ard_3-0-0_111084_2012-05-13_final
2013-02-07 11:38:39	ga_ls7e_ard_3-0-0_113084_2013-02-07_final
2013-12-08 11:36:00	ga_ls7e_ard_3-0-0_113077_2013-12-08_final
2014-01-27 11:20:30	ga_ls7e_ard_3-0-0_111068_2014-01-27_final
2014-12-02 11:43:00	ga_ls7e_ard_3-0-0_114074_2014-12-02_final
2014-12-18 11:43:08	ga_ls7e_ard_3-0-0_114074_2014-12-18_final
2015-03-12 11:22:00	ga_ls7e_ard_3-0-0_110082_2015-03-12_final
2015-03-15 11:50:57	ga_ls7e_ard_3-1-0_115077_2015-03-15_final
2015-09-02 11:35:41	ga_ls7e_ard_3-0-0_112083_2015-09-02_final
2016-01-06 11:46:07	ga_ls7e_ard_3-0-0_114074_2016-01-06_final
2016-09-29 11:26:27	ga_ls7e_ard_3-0-0_111068_2016-09-29_final
2016-10-11 11:53:34	ga_ls7e_ard_3-0-0_115074_2016-10-11_final
2016-12-07 11:47:07	ga_ls7e_ard_3-0-0_114074_2016-12-07_final
2017-04-07 11:37:56	ga_ls7e_ard_3-0-0_113067_2017-04-07_final
2017-05-11 11:28:10	ga_ls7e_ard_3-0-0_111073_2017-05-11_final
2017-07-19 11:44:30	ga_ls7e_ard_3-0-0_114067_2017-07-19_final
2017-10-30 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-10-30_final
2018-06-11 11:51:23	ga_ls7e_ard_3-0-0_115076_2018-06-11_final
2018-07-06 11:46:43	ga_ls7e_ard_3-0-0_114081_2018-07-06_final
2018-12-20 11:47:11	ga_ls7e_ard_3-0-0_115076_2018-12-20_final
2019-02-01 11:26:54	ga_ls7e_ard_3-0-0_112075_2019-02-01_final
2019-03-26 11:44:11	ga_ls7e_ard_3-1-0_115076_2019-03-26_final
2019-06-30 11:39:52	ga_ls7e_ard_3-0-0_115074_2019-06-30_final
2019-12-07 11:34:11	ga_ls7e_ard_3-1-0_115077_2019-12-07_final
2020-02-25 11:28:54	ga_ls7e_ard_3-1-0_115074_2020-02-25_final
2020-06-04 10:55:36	ga_ls7e_ard_3-1-0_111067_2020-06-04_final
2020-08-21 11:08:48	ga_ls7e_ard_3-1-0_113081_2020-08-21_final
2020-10-08 11:02:53	ga_ls7e_ard_3-1-0_113074_2020-10-08_final
2020-10-19 10:44:49	ga_ls7e_ard_3-1-0_110077_2020-10-19_final
2020-11-07 11:13:39	ga_ls7e_ard_3-1-0_115075_2020-11-07_final
2020-12-02 11:05:19	ga_ls7e_ard_3-1-0_114074_2020-12-02_final
2020-12-21 09:54:18	ga_ls7e_ard_3-1-0_103070_2020-12-21_final
2021-03-08 09:23:21	ga_ls7e_ard_3-2-0_098084_2021-03-07_final
2021-03-14 08:46:36	ga_ls7e_ard_3-2-0_092086_2021-03-13_final
2021-04-11 09:02:39	ga_ls7e_ard_3-2-0_096070_2021-04-10_final
2021-04-13 10:29:48	ga_ls7e_ard_3-2-0_110072_2021-04-13_final
2021-05-20 09:07:09	ga_ls7e_ard_3-2-0_097074_2021-05-19_final
2021-05-23 09:35:24	ga_ls7e_ard_3-2-0_102068_2021-05-23_final
2021-07-30 10:46:13	ga_ls7e_ard_3-2-0_114074_2021-07-30_final
2021-08-07 09:55:16	ga_ls7e_ard_3-2-0_106072_2021-08-07_final
2021-08-10 10:28:18	ga_ls7e_ard_3-2-0_111078_2021-08-10_final
2021-08-25 09:40:32	ga_ls7e_ard_3-2-0_104070_2021-08-25_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-28 09:27:10	ga_ls7e_ard_3-2-0_102075_2021-09-27_final
2021-10-09 09:09:40	ga_ls7e_ard_3-2-0_099080_2021-10-08_final
2021-10-18 10:40:22	ga_ls7e_ard_3-2-0_114077_2021-10-18_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-10-31 08:32:59	ga_ls7e_ard_3-2-0_093086_2021-10-30_final
2021-10-31 10:11:04	ga_ls7e_ard_3-2-0_109084_2021-10-31_final
2021-11-03 10:40:29	ga_ls7e_ard_3-2-0_114081_2021-11-03_final
2021-11-04 09:41:11	ga_ls7e_ard_3-2-0_105072_2021-11-04_final
2022-01-19 09:57:46	ga_ls7e_ard_3-2-1_109070_2022-01-19_final
2022-01-29 09:00:35	ga_ls7e_ard_3-2-1_099084_2022-01-28_final
2022-02-15 09:37:43	ga_ls7e_ard_3-2-1_106073_2022-02-15_final
2022-02-16 08:41:11	ga_ls7e_ard_3-2-1_097071_2022-02-15_final
2022-03-08 08:17:21	ga_ls7e_ard_3-2-1_093078_2022-03-07_final
2022-03-11 08:47:57	ga_ls7e_ard_3-2-1_098078_2022-03-10_final
2022-03-15 08:21:13	ga_ls7e_ard_3-2-1_094074_2022-03-14_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