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
2000-02-05 08:59:54	ga_ls7e_ard_3-0-0_088082_2000-02-04_final
2000-05-24 11:42:46	ga_ls7e_ard_3-0-0_115074_2000-05-24_final
2001-05-31 09:41:45	ga_ls7e_ard_3-0-0_095086_2001-05-31_final
2003-03-23 11:33:17	ga_ls7e_ard_3-0-0_114074_2003-03-23_final
2003-12-06 11:24:33	ga_ls7e_ard_3-0-0_112083_2003-12-06_final
2004-05-05 11:28:49	ga_ls7e_ard_3-0-0_113077_2004-05-05_final
2004-07-15 11:35:12	ga_ls7e_ard_3-0-0_114078_2004-07-15_final
2004-09-12 09:39:03	ga_ls7e_ard_3-0-0_095082_2004-09-12_final
2004-10-14 09:40:58	ga_ls7e_ard_3-0-0_095087_2004-10-14_final
2004-12-13 11:40:23	ga_ls7e_ard_3-0-0_115075_2004-12-13_final
2005-02-15 11:41:12	ga_ls7e_ard_3-0-0_115076_2005-02-15_final
2005-02-24 11:34:17	ga_ls7e_ard_3-0-0_114074_2005-02-24_final
2005-08-21 11:25:09	ga_ls7e_ard_3-0-0_112083_2005-08-21_final
2006-04-23 11:42:01	ga_ls7e_ard_3-1-0_115077_2006-04-23_final
2006-06-12 11:32:03	ga_ls7e_ard_3-0-0_113083_2006-06-12_final
2006-09-07 11:36:12	ga_ls7e_ard_3-0-0_114079_2006-09-07_final
2006-09-30 11:41:50	ga_ls7e_ard_3-0-0_115078_2006-09-30_final
2007-01-20 11:43:03	ga_ls7e_ard_3-0-0_115079_2007-01-20_final
2007-03-09 11:42:31	ga_ls7e_ard_3-1-0_115077_2007-03-09_final
2007-04-26 11:42:05	ga_ls7e_ard_3-0-0_115076_2007-04-26_final
2007-10-22 08:57:00	ga_ls7e_ard_3-0-0_088082_2007-10-21_final
2007-11-06 11:25:41	ga_ls7e_ard_3-0-0_113067_2007-11-06_final
2008-07-03 11:28:23	ga_ls7e_ard_3-0-0_113075_2008-07-03_final
2009-01-02 11:34:15	ga_ls7e_ard_3-0-0_114074_2009-01-02_final
2009-04-17 11:28:48	ga_ls7e_ard_3-0-0_113074_2009-04-17_final
2009-06-29 11:25:03	ga_ls7e_ard_3-0-0_112080_2009-06-29_final
2009-08-23 11:32:37	ga_ls7e_ard_3-0-0_113084_2009-08-23_final
2009-10-03 11:25:10	ga_ls7e_ard_3-0-0_112081_2009-10-03_final
2009-11-13 09:40:35	ga_ls7e_ard_3-0-0_095081_2009-11-13_final
2010-01-12 11:42:40	ga_ls7e_ard_3-0-0_115075_2010-01-12_final
2010-02-06 11:36:26	ga_ls7e_ard_3-0-0_114074_2010-02-06_final
2010-04-20 11:34:15	ga_ls7e_ard_3-0-0_113083_2010-04-20_final
2010-09-02 11:38:54	ga_ls7e_ard_3-0-0_114079_2010-09-02_final
2010-11-30 11:31:20	ga_ls7e_ard_3-0-0_113074_2010-11-30_final
2011-01-15 11:46:06	ga_ls7e_ard_3-0-0_115079_2011-01-15_final
2011-02-04 09:43:24	ga_ls7e_ard_3-0-0_095081_2011-02-04_final
2011-07-03 11:35:21	ga_ls7e_ard_3-0-0_114067_2011-07-03_final
2011-07-28 11:35:31	ga_ls7e_ard_3-0-0_113083_2011-07-28_final
2011-08-13 11:29:04	ga_ls7e_ard_3-0-0_113067_2011-08-13_final
2011-08-29 11:35:25	ga_ls7e_ard_3-0-0_113083_2011-08-29_final
2012-09-18 09:42:39	ga_ls7e_ard_3-0-0_095074_2012-09-18_final
2012-12-05 11:34:49	ga_ls7e_ard_3-0-0_113075_2012-12-05_final
2013-01-08 09:42:34	ga_ls7e_ard_3-0-0_095072_2013-01-08_final
2013-02-07 11:38:39	ga_ls7e_ard_3-0-0_113084_2013-02-07_final
2013-08-20 09:47:20	ga_ls7e_ard_3-0-0_095086_2013-08-20_final
2013-11-13 11:43:12	ga_ls7e_ard_3-0-0_114080_2013-11-13_final
2013-12-10 09:48:44	ga_ls7e_ard_3-0-0_095087_2013-12-10_final
2014-02-01 11:43:05	ga_ls7e_ard_3-0-0_114078_2014-02-01_final
2014-09-08 09:48:50	ga_ls7e_ard_3-0-0_095084_2014-09-08_final
2014-11-11 09:44:39	ga_ls7e_ard_3-0-0_095072_2014-11-11_final
2014-12-02 11:44:36	ga_ls7e_ard_3-0-0_114078_2014-12-02_final
2014-12-13 09:48:50	ga_ls7e_ard_3-0-0_095082_2014-12-13_final
2015-02-20 11:43:47	ga_ls7e_ard_3-0-0_114075_2015-02-20_final
2015-04-20 09:46:02	ga_ls7e_ard_3-1-0_095073_2015-04-20_final
2015-05-02 11:50:31	ga_ls7e_ard_3-0-0_115075_2015-05-02_final
2015-06-03 11:50:45	ga_ls7e_ard_3-0-0_115075_2015-06-03_final
2015-09-02 11:35:41	ga_ls7e_ard_3-0-0_112083_2015-09-02_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2015-12-16 09:45:36	ga_ls7e_ard_3-0-0_095067_2015-12-16_final
2016-09-09 11:53:31	ga_ls7e_ard_3-0-0_115074_2016-09-09_final
2017-02-02 11:44:02	ga_ls7e_ard_3-0-0_113083_2017-02-02_final
2017-02-04 09:52:23	ga_ls7e_ard_3-0-0_095082_2017-02-04_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-04-05 11:53:52	ga_ls7e_ard_3-0-0_115076_2017-04-05_final
2017-06-24 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-06-24_final
2017-11-15 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-11-15_final
2018-03-23 11:52:18	ga_ls7e_ard_3-0-0_115075_2018-03-23_final
2019-05-08 11:27:17	ga_ls7e_ard_3-0-0_112084_2019-05-08_final
2019-06-25 11:25:06	ga_ls7e_ard_3-0-0_112083_2019-06-25_final
2019-07-11 11:24:06	ga_ls7e_ard_3-0-0_112082_2019-07-11_final
2020-02-09 11:30:56	ga_ls7e_ard_3-1-0_115077_2020-02-09_final
2020-10-24 11:01:50	ga_ls7e_ard_3-1-0_113074_2020-10-24_final
2021-02-08 10:38:51	ga_ls7e_ard_3-2-0_110082_2021-02-08_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-12 09:46:37	ga_ls7e_ard_3-2-0_103072_2021-04-12_final
2021-04-16 09:24:46	ga_ls7e_ard_3-2-0_099080_2021-04-15_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-04-29 10:26:27	ga_ls7e_ard_3-2-0_110067_2021-04-29_final
2021-05-03 10:02:36	ga_ls7e_ard_3-2-0_106070_2021-05-03_final
2021-05-29 08:58:36	ga_ls7e_ard_3-2-0_096070_2021-05-28_final
2021-06-08 09:34:51	ga_ls7e_ard_3-2-0_102070_2021-06-08_final
2021-06-12 09:10:12	ga_ls7e_ard_3-2-0_098071_2021-06-11_final
2021-06-19 09:18:36	ga_ls7e_ard_3-2-0_099078_2021-06-18_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-08-02 09:37:35	ga_ls7e_ard_3-2-0_103073_2021-08-02_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-11 10:36:00	ga_ls7e_ard_3-2-0_113080_2021-10-11_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-10-27 08:57:41	ga_ls7e_ard_3-2-0_097085_2021-10-26_final
2021-10-29 10:19:13	ga_ls7e_ard_3-2-0_111073_2021-10-29_final
2021-11-02 09:53:20	ga_ls7e_ard_3-2-0_107071_2021-11-02_final
2021-11-18 09:53:23	ga_ls7e_ard_3-2-1_107075_2021-11-18_final
2021-11-19 08:56:28	ga_ls7e_ard_3-2-1_098072_2021-11-18_final
2021-12-29 09:42:04	ga_ls7e_ard_3-2-1_106072_2021-12-29_final
2022-01-15 08:44:00	ga_ls7e_ard_3-2-1_097070_2022-01-14_final
2022-01-23 09:32:40	ga_ls7e_ard_3-2-1_105070_2022-01-23_final
2022-02-07 08:53:06	ga_ls7e_ard_3-2-1_098083_2022-02-06_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years