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
2004-03-25 11:36:18	ga_ls7e_ard_3-0-0_114080_2004-03-25_final
2004-05-19 11:39:59	ga_ls7e_ard_3-0-0_115074_2004-05-19_final
2004-06-20 11:39:50	ga_ls7e_ard_3-0-0_115074_2004-06-20_final
2005-02-01 11:29:06	ga_ls7e_ard_3-0-0_113077_2005-02-01_final
2005-03-14 11:25:34	ga_ls7e_ard_3-0-0_112083_2005-03-14_final
2005-07-02 11:36:49	ga_ls7e_ard_3-0-0_114081_2005-07-02_final
2005-08-19 11:36:43	ga_ls7e_ard_3-0-0_114081_2005-08-19_final
2005-10-31 11:30:34	ga_ls7e_ard_3-0-0_113081_2005-10-31_final
2005-11-23 11:36:10	ga_ls7e_ard_3-0-0_114079_2005-11-23_final
2006-03-06 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-03-06_final
2006-11-26 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-11-26_final
2007-01-08 11:16:18	ga_ls7e_ard_3-0-0_111074_2007-01-08_final
2007-02-23 11:32:54	ga_ls7e_ard_3-0-0_113084_2007-02-23_final
2007-02-25 11:17:21	ga_ls7e_ard_3-0-0_111076_2007-02-25_final
2007-03-18 11:37:33	ga_ls7e_ard_3-0-0_114080_2007-03-18_final
2007-09-10 11:37:15	ga_ls7e_ard_3-0-0_114081_2007-09-10_final
2007-09-12 11:25:41	ga_ls7e_ard_3-0-0_112083_2007-09-12_final
2008-09-30 11:24:13	ga_ls7e_ard_3-0-0_112082_2008-09-30_final
2008-11-01 11:24:48	ga_ls7e_ard_3-0-0_112083_2008-11-01_final
2008-12-03 11:24:50	ga_ls7e_ard_3-0-0_112082_2008-12-03_final
2009-06-29 11:25:51	ga_ls7e_ard_3-0-0_112082_2009-06-29_final
2009-07-13 11:37:45	ga_ls7e_ard_3-0-0_114081_2009-07-13_final
2009-07-29 11:37:40	ga_ls7e_ard_3-0-0_114081_2009-07-29_final
2009-12-11 11:43:43	ga_ls7e_ard_3-0-0_115079_2009-12-11_final
2010-06-30 11:39:37	ga_ls7e_ard_3-0-0_114081_2010-06-30_final
2010-09-02 11:39:42	ga_ls7e_ard_3-0-0_114081_2010-09-02_final
2010-11-30 11:31:20	ga_ls7e_ard_3-0-0_113074_2010-11-30_final
2010-12-16 11:34:40	ga_ls7e_ard_3-0-0_113082_2010-12-16_final
2010-12-30 11:45:57	ga_ls7e_ard_3-0-0_115079_2010-12-30_final
2011-03-06 11:31:59	ga_ls7e_ard_3-0-0_113074_2011-03-06_final
2011-10-18 11:19:47	ga_ls7e_ard_3-0-0_111075_2011-10-18_final
2011-11-15 11:46:22	ga_ls7e_ard_3-0-0_115079_2011-11-15_final
2011-12-28 11:29:26	ga_ls7e_ard_3-0-0_112082_2011-12-28_final
2012-01-13 11:29:53	ga_ls7e_ard_3-0-0_112083_2012-01-13_final
2012-01-22 11:19:17	ga_ls7e_ard_3-0-0_111072_2012-01-22_final
2012-05-25 11:45:23	ga_ls7e_ard_3-0-0_115074_2012-05-25_final
2013-02-07 11:38:39	ga_ls7e_ard_3-0-0_113084_2013-02-07_final
2013-05-12 11:46:41	ga_ls7e_ard_3-0-0_115074_2013-05-12_final
2013-08-04 11:20:09	ga_ls7e_ard_3-0-0_111071_2013-08-04_final
2013-12-17 11:32:10	ga_ls7e_ard_3-0-0_112083_2013-12-17_final
2014-01-07 11:49:14	ga_ls7e_ard_3-0-0_115079_2014-01-07_final
2014-04-22 11:44:35	ga_ls7e_ard_3-0-0_114081_2014-04-22_final
2014-06-02 11:39:26	ga_ls7e_ard_3-0-0_113083_2014-06-02_final
2014-07-11 11:44:57	ga_ls7e_ard_3-0-0_114081_2014-07-11_final
2014-07-20 11:38:47	ga_ls7e_ard_3-0-0_113081_2014-07-20_final
2014-10-17 11:33:52	ga_ls7e_ard_3-0-0_112083_2014-10-17_final
2014-12-02 11:40:12	ga_ls7e_ard_3-0-0_114067_2014-12-02_final
2014-12-20 11:34:23	ga_ls7e_ard_3-0-0_112083_2014-12-20_final
2015-11-12 11:43:06	ga_ls7e_ard_3-0-0_113084_2015-11-12_final
2015-12-12 11:53:56	ga_ls7e_ard_3-0-0_115079_2015-12-12_final
2016-10-22 11:38:35	ga_ls7e_ard_3-0-0_112083_2016-10-22_final
2016-11-14 11:41:00	ga_ls7e_ard_3-0-0_113074_2016-11-14_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2017-11-03 11:27:31	ga_ls7e_ard_3-0-0_111071_2017-11-03_final
2018-02-05 11:44:04	ga_ls7e_ard_3-0-0_113084_2018-02-05_final
2018-04-01 11:47:59	ga_ls7e_ard_3-0-0_114080_2018-04-01_final
2018-11-04 11:38:48	ga_ls7e_ard_3-0-0_113083_2018-11-04_final
2019-03-30 11:18:32	ga_ls7e_ard_3-0-0_111074_2019-03-30_final
2019-04-04 11:39:18	ga_ls7e_ard_3-0-0_114080_2019-04-04_final
2019-06-23 11:34:45	ga_ls7e_ard_3-0-0_114076_2019-06-23_final
2019-08-21 11:13:03	ga_ls7e_ard_3-0-0_111074_2019-08-21_final
2019-11-16 11:19:03	ga_ls7e_ard_3-1-0_112083_2019-11-16_final
2019-12-07 11:34:59	ga_ls7e_ard_3-1-0_115079_2019-12-07_final
2020-04-01 11:01:25	ga_ls7e_ard_3-1-0_111072_2020-04-01_final
2020-04-06 11:23:15	ga_ls7e_ard_3-1-0_114081_2020-04-06_final
2020-11-02 10:57:27	ga_ls7e_ard_3-1-0_112080_2020-11-02_final
2020-11-09 11:03:33	ga_ls7e_ard_3-1-0_113081_2020-11-09_final
2020-11-22 08:50:52	ga_ls7e_ard_3-1-0_092076_2020-11-21_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-20 10:55:11	ga_ls7e_ard_3-1-0_112083_2020-12-20_final
2020-12-26 08:39:12	ga_ls7e_ard_3-1-0_090084_2020-12-25_final
2020-12-26 10:14:29	ga_ls7e_ard_3-1-0_106075_2020-12-26_final
2021-01-10 11:10:40	ga_ls7e_ard_3-1-0_115079_2021-01-10_final
2021-01-14 10:47:39	ga_ls7e_ard_3-1-0_111084_2021-01-14_final
2021-01-18 10:19:27	ga_ls7e_ard_3-1-0_107076_2021-01-18_final
2021-02-12 10:09:51	ga_ls7e_ard_3-2-0_106072_2021-02-12_final
2021-02-17 10:28:48	ga_ls7e_ard_3-2-0_109074_2021-02-17_final
2021-04-04 10:41:07	ga_ls7e_ard_3-2-0_111083_2021-04-04_final
2021-04-10 09:59:57	ga_ls7e_ard_3-2-0_105074_2021-04-10_final
2021-04-10 10:01:09	ga_ls7e_ard_3-2-0_105077_2021-04-10_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-06-28 10:49:22	ga_ls7e_ard_3-2-0_114075_2021-06-28_final
2021-07-15 09:52:42	ga_ls7e_ard_3-2-0_105076_2021-07-15_final
2021-07-18 10:20:57	ga_ls7e_ard_3-2-0_110070_2021-07-18_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-08 09:03:09	ga_ls7e_ard_3-2-0_097081_2021-08-07_final
2021-08-19 10:18:32	ga_ls7e_ard_3-2-0_110071_2021-08-19_final
2021-08-19 10:21:19	ga_ls7e_ard_3-2-0_110078_2021-08-19_final
2021-09-23 10:47:58	ga_ls7e_ard_3-2-0_115075_2021-09-23_final
2021-11-08 09:20:04	ga_ls7e_ard_3-2-0_101082_2021-11-07_final
2021-11-12 10:34:14	ga_ls7e_ard_3-2-1_113083_2021-11-12_final
2021-11-16 10:05:32	ga_ls7e_ard_3-2-1_109074_2021-11-16_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2021-12-31 09:27:54	ga_ls7e_ard_3-2-1_104068_2021-12-30_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-02-05 09:00:53	ga_ls7e_ard_3-2-1_100071_2022-02-04_final
2022-02-23 08:45:55	ga_ls7e_ard_3-2-1_098069_2022-02-22_final
2022-02-24 09:31:52	ga_ls7e_ard_3-2-1_105076_2022-02-24_final
2022-03-03 08:02:06	ga_ls7e_ard_3-2-1_090085_2022-03-02_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_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