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
2000-10-08 11:36:36	ga_ls7e_ard_3-0-0_114078_2000-10-08_final
2003-04-17 11:30:47	ga_ls7e_ard_3-0-0_113083_2003-04-17_final
2003-11-25 11:39:53	ga_ls7e_ard_3-0-0_115075_2003-11-25_final
2004-02-29 11:41:32	ga_ls7e_ard_3-0-0_115078_2004-02-29_final
2004-03-09 11:36:14	ga_ls7e_ard_3-0-0_114080_2004-03-09_final
2004-12-29 11:40:56	ga_ls7e_ard_3-0-0_115076_2004-12-29_final
2005-06-25 11:31:03	ga_ls7e_ard_3-0-0_113082_2005-06-25_final
2005-09-06 11:25:24	ga_ls7e_ard_3-0-0_112084_2005-09-06_final
2005-09-20 11:35:41	ga_ls7e_ard_3-0-0_114079_2005-09-20_final
2006-05-25 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-05-25_final
2006-08-06 11:35:31	ga_ls7e_ard_3-0-0_114077_2006-08-06_final
2006-09-16 11:25:11	ga_ls7e_ard_3-0-0_113067_2006-09-16_final
2006-11-01 11:40:33	ga_ls7e_ard_3-0-0_115074_2006-11-01_final
2007-03-09 11:42:55	ga_ls7e_ard_3-0-0_115078_2007-03-09_final
2007-08-02 11:31:21	ga_ls7e_ard_3-0-0_113081_2007-08-02_final
2007-09-10 11:36:04	ga_ls7e_ard_3-0-0_114078_2007-09-10_final
2007-10-28 11:34:34	ga_ls7e_ard_3-0-0_114074_2007-10-28_final
2007-11-20 11:41:22	ga_ls7e_ard_3-0-0_115075_2007-11-20_final
2008-02-01 11:34:57	ga_ls7e_ard_3-0-0_114074_2008-02-01_final
2008-07-03 11:31:35	ga_ls7e_ard_3-0-0_113083_2008-07-03_final
2008-10-23 11:24:28	ga_ls7e_ard_3-0-0_113067_2008-10-23_final
2008-12-17 11:34:32	ga_ls7e_ard_3-0-0_114075_2008-12-17_final
2009-04-01 11:31:54	ga_ls7e_ard_3-0-0_113082_2009-04-01_final
2009-06-27 11:37:01	ga_ls7e_ard_3-0-0_114079_2009-06-27_final
2009-08-14 11:37:11	ga_ls7e_ard_3-0-0_114080_2009-08-14_final
2010-01-23 11:27:53	ga_ls7e_ard_3-0-0_112084_2010-01-23_final
2010-02-24 11:27:27	ga_ls7e_ard_3-0-0_112082_2010-02-24_final
2010-08-17 11:36:51	ga_ls7e_ard_3-0-0_114074_2010-08-17_final
2010-12-23 11:40:06	ga_ls7e_ard_3-0-0_114080_2010-12-23_final
2011-07-21 11:29:22	ga_ls7e_ard_3-0-0_112083_2011-07-21_final
2011-11-08 11:40:06	ga_ls7e_ard_3-0-0_114079_2011-11-08_final
2012-08-06 11:39:39	ga_ls7e_ard_3-0-0_114074_2012-08-06_final
2013-01-06 11:34:37	ga_ls7e_ard_3-0-0_113074_2013-01-06_final
2013-08-16 11:46:30	ga_ls7e_ard_3-0-0_115075_2013-08-16_final
2013-08-25 11:40:01	ga_ls7e_ard_3-0-0_114074_2013-08-25_final
2013-10-12 11:43:00	ga_ls7e_ard_3-0-0_114080_2013-10-12_final
2013-11-15 11:32:26	ga_ls7e_ard_3-0-0_112084_2013-11-15_final
2013-12-06 11:48:45	ga_ls7e_ard_3-0-0_115078_2013-12-06_final
2014-04-24 11:33:03	ga_ls7e_ard_3-0-0_112083_2014-04-24_final
2015-02-27 11:50:27	ga_ls7e_ard_3-0-0_115076_2015-02-27_final
2015-05-04 11:37:46	ga_ls7e_ard_3-0-0_113074_2015-05-04_final
2015-09-16 11:44:34	ga_ls7e_ard_3-0-0_114074_2015-09-16_final
2015-12-14 11:36:49	ga_ls7e_ard_3-0-0_113067_2015-12-14_final
2016-08-08 11:54:14	ga_ls7e_ard_3-0-0_115076_2016-08-08_final
2016-08-26 11:42:18	ga_ls7e_ard_3-0-0_113077_2016-08-26_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2017-03-15 11:38:02	ga_ls7e_ard_3-0-0_112083_2017-03-15_final
2017-06-26 11:44:17	ga_ls7e_ard_3-0-0_113082_2017-06-26_final
2017-07-10 11:54:16	ga_ls7e_ard_3-0-0_115076_2017-07-10_final
2018-01-04 11:44:10	ga_ls7e_ard_3-0-0_113083_2018-01-04_final
2018-02-12 11:47:46	ga_ls7e_ard_3-0-0_114078_2018-02-12_final
2018-06-13 11:40:59	ga_ls7e_ard_3-0-0_113081_2018-06-13_final
2018-09-01 11:36:40	ga_ls7e_ard_3-0-0_113074_2018-09-01_final
2018-12-29 11:42:44	ga_ls7e_ard_3-0-0_114081_2018-12-29_final
2019-01-05 11:46:19	ga_ls7e_ard_3-0-0_115075_2019-01-05_final
2019-03-19 11:40:14	ga_ls7e_ard_3-1-0_114081_2019-03-19_final
2019-04-27 11:42:15	ga_ls7e_ard_3-0-0_115074_2019-04-27_final
2019-05-31 11:31:00	ga_ls7e_ard_3-0-0_113080_2019-05-31_final
2019-06-09 11:24:54	ga_ls7e_ard_3-0-0_112081_2019-06-09_final
2019-11-21 11:33:46	ga_ls7e_ard_3-1-0_115074_2019-11-21_final
2020-05-01 11:16:24	ga_ls7e_ard_3-1-0_113083_2020-05-01_final
2020-06-16 11:22:49	ga_ls7e_ard_3-1-0_115075_2020-06-16_final
2020-11-23 09:35:39	ga_ls7e_ard_3-1-0_099080_2020-11-23_final
2020-12-08 10:29:47	ga_ls7e_ard_3-1-0_108079_2020-12-08_final
2021-02-19 10:17:06	ga_ls7e_ard_3-2-0_107076_2021-02-19_final
2021-02-22 09:07:41	ga_ls7e_ard_3-2-0_096073_2021-02-21_final
2021-03-17 09:15:16	ga_ls7e_ard_3-2-0_097081_2021-03-16_final
2021-04-01 10:05:41	ga_ls7e_ard_3-2-0_106071_2021-04-01_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-04-05 09:39:50	ga_ls7e_ard_3-2-0_102069_2021-04-05_final
2021-04-06 10:28:36	ga_ls7e_ard_3-2-0_109083_2021-04-06_final
2021-04-08 10:13:16	ga_ls7e_ard_3-2-0_107076_2021-04-08_final
2021-04-27 09:02:53	ga_ls7e_ard_3-2-0_096074_2021-04-26_final
2021-05-07 09:41:08	ga_ls7e_ard_3-2-0_102079_2021-05-07_final
2021-06-19 09:20:12	ga_ls7e_ard_3-2-0_099082_2021-06-18_final
2021-06-21 09:08:28	ga_ls7e_ard_3-2-0_097084_2021-06-20_final
2021-06-29 09:55:15	ga_ls7e_ard_3-2-0_105079_2021-06-29_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-23 09:54:40	ga_ls7e_ard_3-2-0_106074_2021-08-23_final
2021-08-24 08:58:58	ga_ls7e_ard_3-2-0_097074_2021-08-23_final
2021-08-30 10:03:02	ga_ls7e_ard_3-2-0_107081_2021-08-30_final
2021-09-15 08:24:45	ga_ls7e_ard_3-2-0_091086_2021-09-14_final
2021-09-17 09:44:18	ga_ls7e_ard_3-2-0_105069_2021-09-17_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-10-01 09:57:48	ga_ls7e_ard_3-2-0_107075_2021-10-01_final
2021-10-09 09:09:40	ga_ls7e_ard_3-2-0_099080_2021-10-08_final
2021-10-13 10:20:16	ga_ls7e_ard_3-2-0_111072_2021-10-13_final
2021-10-26 09:47:48	ga_ls7e_ard_3-2-0_106071_2021-10-26_final
2021-11-08 09:19:40	ga_ls7e_ard_3-2-0_101081_2021-11-07_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-12-07 10:25:40	ga_ls7e_ard_3-2-1_112083_2021-12-07_final
2021-12-16 08:38:57	ga_ls7e_ard_3-2-1_095081_2021-12-15_final
2021-12-23 08:40:04	ga_ls7e_ard_3-2-1_096070_2021-12-22_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2021-12-29 09:41:16	ga_ls7e_ard_3-2-1_106070_2021-12-29_final
2021-12-29 09:41:40	ga_ls7e_ard_3-2-1_106071_2021-12-29_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-04 09:08:21	ga_ls7e_ard_3-2-1_100082_2022-01-03_final
2022-02-20 09:55:46	ga_ls7e_ard_3-2-1_109073_2022-02-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years