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
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2002-09-23 11:17:03	ga_ls7e_ard_3-1-0_111082_2002-09-23_final
2003-01-25 11:40:30	ga_ls7e_ard_3-1-0_115077_2003-01-25_final
2003-03-20 09:28:43	ga_ls7e_ard_3-1-0_093087_2003-03-19_final
2004-07-07 09:09:41	ga_ls7e_ard_3-1-0_090085_2004-07-06_final
2004-10-07 11:12:23	ga_ls7e_ard_3-1-0_110084_2004-10-07_final
2004-11-17 09:28:58	ga_ls7e_ard_3-1-0_093087_2004-11-16_final
2004-11-17 11:05:28	ga_ls7e_ard_3-1-0_109081_2004-11-17_final
2006-02-03 09:11:54	ga_ls7e_ard_3-1-0_090088_2006-02-02_final
2007-03-31 09:30:10	ga_ls7e_ard_3-1-0_093086_2007-03-31_final
2007-09-18 10:45:23	ga_ls7e_ard_3-1-0_106075_2007-09-18_final
2007-12-06 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-12-06_final
2008-02-14 09:29:55	ga_ls7e_ard_3-1-0_093086_2008-02-13_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-07-17 09:59:42	ga_ls7e_ard_3-1-0_099070_2008-07-17_final
2009-01-13 11:18:58	ga_ls7e_ard_3-1-0_111082_2009-01-13_final
2009-10-01 09:58:15	ga_ls7e_ard_3-1-0_098080_2009-10-01_final
2009-11-10 10:46:07	ga_ls7e_ard_3-1-0_106075_2009-11-10_final
2010-08-25 10:47:50	ga_ls7e_ard_3-1-0_106075_2010-08-25_final
2010-08-30 11:08:47	ga_ls7e_ard_3-1-0_109081_2010-08-30_final
2011-02-10 09:06:20	ga_ls7e_ard_3-1-0_089081_2011-02-09_final
2011-06-30 11:10:02	ga_ls7e_ard_3-1-0_109081_2011-06-30_final
2011-10-15 10:48:51	ga_ls7e_ard_3-1-0_106075_2011-10-15_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2012-12-17 10:20:47	ga_ls7e_ard_3-1-0_101075_2012-12-17_final
2013-01-05 10:51:45	ga_ls7e_ard_3-1-0_106075_2013-01-05_final
2013-04-27 10:51:30	ga_ls7e_ard_3-1-0_106075_2013-04-27_final
2013-11-23 10:37:27	ga_ls7e_ard_3-1-0_104070_2013-11-23_final
2014-07-11 10:05:40	ga_ls7e_ard_3-1-0_098080_2014-07-11_final
2014-08-03 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-03_final
2014-08-12 10:05:47	ga_ls7e_ard_3-1-0_098080_2014-08-12_final
2015-02-27 11:50:51	ga_ls7e_ard_3-1-0_115077_2015-02-27_final
2015-06-04 10:55:08	ga_ls7e_ard_3-1-0_106075_2015-06-04_final
2015-06-25 09:38:02	ga_ls7e_ard_3-1-0_093083_2015-06-25_final
2015-12-29 10:56:56	ga_ls7e_ard_3-1-0_106075_2015-12-29_final
2016-01-29 11:53:47	ga_ls7e_ard_3-1-0_115077_2016-01-29_final
2016-07-08 10:58:08	ga_ls7e_ard_3-1-0_106075_2016-07-08_final
2017-02-04 09:48:47	ga_ls7e_ard_3-1-0_095073_2017-02-04_final
2017-06-21 11:21:44	ga_ls7e_ard_3-1-0_110072_2017-06-21_final
2017-10-20 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-10-20_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-07-06 10:07:02	ga_ls7e_ard_3-1-0_098079_2018-07-06_final
2018-12-21 10:51:08	ga_ls7e_ard_3-1-0_106075_2018-12-21_final
2019-02-19 09:37:56	ga_ls7e_ard_3-1-0_094082_2019-02-19_final
2019-03-16 11:06:39	ga_ls7e_ard_3-1-0_109074_2019-03-16_final
2019-03-27 10:45:20	ga_ls7e_ard_3-1-0_106068_2019-03-27_final
2019-04-28 10:46:59	ga_ls7e_ard_3-1-0_106075_2019-04-28_final
2019-05-10 11:10:03	ga_ls7e_ard_3-1-0_110072_2019-05-10_final
2019-09-15 11:05:23	ga_ls7e_ard_3-1-0_110073_2019-09-15_final
2019-09-26 10:46:45	ga_ls7e_ard_3-1-0_107074_2019-09-26_final
2019-09-30 10:23:28	ga_ls7e_ard_3-1-0_103078_2019-09-30_final
2019-10-01 09:29:01	ga_ls7e_ard_3-1-0_094081_2019-09-30_final
2019-10-04 11:36:16	ga_ls7e_ard_3-1-0_115075_2019-10-04_final
2019-10-08 11:11:23	ga_ls7e_ard_3-1-0_111075_2019-10-08_final
2019-10-10 10:58:57	ga_ls7e_ard_3-1-0_109075_2019-10-10_final
2019-10-17 11:04:26	ga_ls7e_ard_3-1-0_110074_2019-10-17_final
2019-10-18 10:12:22	ga_ls7e_ard_3-1-0_101083_2019-10-18_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-10-24 11:13:54	ga_ls7e_ard_3-1-0_111083_2019-10-24_final
2019-10-26 10:56:16	ga_ls7e_ard_3-1-0_109070_2019-10-26_final
2019-11-05 09:59:13	ga_ls7e_ard_3-1-0_099083_2019-11-05_final
2019-11-06 10:40:02	ga_ls7e_ard_3-1-0_106077_2019-11-06_final
2019-11-11 10:57:09	ga_ls7e_ard_3-1-0_109074_2019-11-11_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-12-08 10:35:19	ga_ls7e_ard_3-1-0_106069_2019-12-08_final
2019-12-08 10:38:54	ga_ls7e_ard_3-1-0_106078_2019-12-08_final
2019-12-14 10:00:44	ga_ls7e_ard_3-1-0_100076_2019-12-14_final
2019-12-23 09:50:54	ga_ls7e_ard_3-1-0_099068_2019-12-23_final
2019-12-24 09:01:13	ga_ls7e_ard_3-1-0_090083_2019-12-23_final
2019-12-24 10:35:18	ga_ls7e_ard_3-1-0_106071_2019-12-24_final
2019-12-25 09:40:50	ga_ls7e_ard_3-1-0_097074_2019-12-25_final
2019-12-25 09:43:37	ga_ls7e_ard_3-1-0_097081_2019-12-25_final
2019-12-27 11:06:03	ga_ls7e_ard_3-1-0_111071_2019-12-27_final
2019-12-31 10:43:07	ga_ls7e_ard_3-1-0_107076_2019-12-31_final
2020-01-10 11:21:16	ga_ls7e_ard_3-1-0_113080_2020-01-10_final
2020-01-15 09:59:05	ga_ls7e_ard_3-1-0_100076_2020-01-15_final
2020-01-20 10:15:47	ga_ls7e_ard_3-1-0_103072_2020-01-20_final
2020-01-20 10:16:59	ga_ls7e_ard_3-1-0_103075_2020-01-20_final
2020-01-21 10:58:36	ga_ls7e_ard_3-1-0_110071_2020-01-21_final
2020-01-21 11:03:47	ga_ls7e_ard_3-1-0_110084_2020-01-21_final
2020-01-24 09:55:16	ga_ls7e_ard_3-1-0_099083_2020-01-24_final
2020-01-24 11:31:21	ga_ls7e_ard_3-1-0_115076_2020-01-24_final
2020-01-25 10:35:41	ga_ls7e_ard_3-1-0_106076_2020-01-25_final
2020-01-25 10:36:05	ga_ls7e_ard_3-1-0_106077_2020-01-25_final
2020-01-26 11:19:17	ga_ls7e_ard_3-1-0_113077_2020-01-26_final
2020-02-15 10:52:21	ga_ls7e_ard_3-1-0_109074_2020-02-15_final
2020-02-16 09:58:16	ga_ls7e_ard_3-1-0_100078_2020-02-16_final
2020-02-26 10:34:02	ga_ls7e_ard_3-1-0_106076_2020-02-26_final
2020-02-29 11:07:10	ga_ls7e_ard_3-1-0_111082_2020-02-29_final
2020-03-08 10:13:18	ga_ls7e_ard_3-1-0_103072_2020-03-08_final
2020-03-12 09:52:21	ga_ls7e_ard_3-1-0_099082_2020-03-12_final
2020-03-21 09:44:29	ga_ls7e_ard_3-1-0_098079_2020-03-21_final
2020-03-28 09:50:40	ga_ls7e_ard_3-1-0_099080_2020-03-28_final
2020-04-14 08:58:04	ga_ls7e_ard_3-1-0_090090_2020-04-13_final
2020-04-22 09:37:52	ga_ls7e_ard_3-1-0_098067_2020-04-22_final
2020-04-22 11:21:08	ga_ls7e_ard_3-1-0_114078_2020-04-22_final
2020-04-26 10:53:23	ga_ls7e_ard_3-1-0_110071_2020-04-26_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-29 08:30:39	ga_ls7e_ard_3-2-1_096070_2022-03-28_final
2022-03-29 10:15:07	ga_ls7e_ard_3-2-1_112084_2022-03-29_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