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
2000-02-24 09:32:39	ga_ls7e_ard_3-1-0_093087_2000-02-24_final
2002-03-01 11:05:29	ga_ls7e_ard_3-1-0_109081_2002-03-01_final
2003-04-12 11:07:52	ga_ls7e_ard_3-1-0_110072_2003-04-12_final
2004-01-07 11:25:11	ga_ls7e_ard_3-1-0_112084_2004-01-07_final
2004-08-20 11:07:54	ga_ls7e_ard_3-1-0_110072_2004-08-20_final
2004-09-05 11:07:49	ga_ls7e_ard_3-1-0_110072_2004-09-05_final
2004-09-21 11:07:43	ga_ls7e_ard_3-1-0_110072_2004-09-21_final
2005-04-17 11:08:39	ga_ls7e_ard_3-1-0_110072_2005-04-17_final
2005-07-10 09:10:07	ga_ls7e_ard_3-1-0_090085_2005-07-09_final
2005-07-26 09:10:06	ga_ls7e_ard_3-1-0_090085_2005-07-25_final
2006-01-23 09:29:58	ga_ls7e_ard_3-1-0_093087_2006-01-22_final
2006-02-24 11:06:36	ga_ls7e_ard_3-1-0_109081_2006-02-24_final
2006-09-27 09:30:04	ga_ls7e_ard_3-1-0_094073_2006-09-27_final
2007-01-10 09:30:15	ga_ls7e_ard_3-1-0_093087_2007-01-10_final
2007-02-21 10:01:35	ga_ls7e_ard_3-1-0_099072_2007-02-21_final
2007-09-14 11:08:55	ga_ls7e_ard_3-1-0_110072_2007-09-14_final
2007-10-14 11:26:01	ga_ls7e_ard_3-1-0_112084_2007-10-14_final
2008-03-21 09:06:15	ga_ls7e_ard_3-1-0_089089_2008-03-20_final
2008-07-02 09:11:27	ga_ls7e_ard_3-1-0_090088_2008-07-01_final
2008-08-08 09:29:14	ga_ls7e_ard_3-1-0_093087_2008-08-07_final
2008-12-05 11:08:30	ga_ls7e_ard_3-1-0_110072_2008-12-05_final
2008-12-19 11:25:47	ga_ls7e_ard_3-1-0_112084_2008-12-19_final
2009-01-31 09:30:12	ga_ls7e_ard_3-1-0_093088_2009-01-31_final
2009-06-15 09:28:39	ga_ls7e_ard_3-1-0_094067_2009-06-14_final
2009-06-24 09:30:02	ga_ls7e_ard_3-1-0_093086_2009-06-24_final
2009-07-17 11:09:25	ga_ls7e_ard_3-1-0_110072_2009-07-17_final
2010-08-21 11:11:21	ga_ls7e_ard_3-1-0_110072_2010-08-21_final
2011-01-09 09:09:21	ga_ls7e_ard_3-1-0_089089_2011-01-08_final
2011-01-16 09:13:59	ga_ls7e_ard_3-1-0_090085_2011-01-15_final
2011-08-02 10:14:21	ga_ls7e_ard_3-1-0_100081_2011-08-02_final
2011-11-21 09:33:41	ga_ls7e_ard_3-1-0_093087_2011-11-21_final
2012-02-20 09:14:50	ga_ls7e_ard_3-1-0_090085_2012-02-19_final
2013-12-07 09:17:02	ga_ls7e_ard_3-1-0_090085_2013-12-06_final
2014-02-02 09:09:48	ga_ls7e_ard_3-1-0_089081_2014-02-01_final
2014-11-02 11:34:26	ga_ls7e_ard_3-1-0_112084_2014-11-02_final
2014-11-20 11:17:21	ga_ls7e_ard_3-1-0_110072_2014-11-20_final
2015-09-20 11:19:03	ga_ls7e_ard_3-1-0_110072_2015-09-20_final
2016-03-07 09:42:03	ga_ls7e_ard_3-1-0_093087_2016-03-07_final
2016-11-13 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-11-12_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-06-05 11:21:41	ga_ls7e_ard_3-1-0_110072_2017-06-05_final
2017-07-23 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-23_final
2017-08-01 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-08-01_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2017-11-12 09:40:50	ga_ls7e_ard_3-1-0_094067_2017-11-12_final
2017-11-26 11:34:48	ga_ls7e_ard_3-1-0_112074_2017-11-26_final
2017-12-18 09:23:02	ga_ls7e_ard_3-1-0_090085_2017-12-17_final
2018-01-12 09:14:56	ga_ls7e_ard_3-1-0_089081_2018-01-11_final
2018-04-21 09:38:52	ga_ls7e_ard_3-1-0_094067_2018-04-21_final
2018-11-12 09:09:30	ga_ls7e_ard_3-1-0_089081_2018-11-11_final
2018-12-17 09:33:54	ga_ls7e_ard_3-1-0_094067_2018-12-17_final
2019-02-18 10:28:00	ga_ls7e_ard_3-1-0_103068_2019-02-18_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-03-04 09:07:01	ga_ls7e_ard_3-1-0_089083_2019-03-03_final
2019-03-05 11:28:44	ga_ls7e_ard_3-1-0_112082_2019-03-05_final
2019-03-07 11:11:31	ga_ls7e_ard_3-1-0_110070_2019-03-07_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-05-26 11:09:26	ga_ls7e_ard_3-1-0_110072_2019-05-26_final
2019-09-02 09:55:35	ga_ls7e_ard_3-1-0_099067_2019-09-02_final
2019-09-02 09:57:35	ga_ls7e_ard_3-1-0_099072_2019-09-02_final
2019-09-14 10:24:10	ga_ls7e_ard_3-1-0_103078_2019-09-14_final
2019-09-15 11:09:47	ga_ls7e_ard_3-1-0_110084_2019-09-15_final
2019-10-10 10:57:21	ga_ls7e_ard_3-1-0_109071_2019-10-10_final
2019-10-17 11:04:26	ga_ls7e_ard_3-1-0_110074_2019-10-17_final
2019-10-28 10:43:49	ga_ls7e_ard_3-1-0_107070_2019-10-28_final
2019-10-28 10:44:37	ga_ls7e_ard_3-1-0_107072_2019-10-28_final
2019-10-30 08:58:05	ga_ls7e_ard_3-1-0_089084_2019-10-29_final
2019-11-01 10:22:55	ga_ls7e_ard_3-1-0_103080_2019-11-01_final
2019-11-05 09:53:13	ga_ls7e_ard_3-1-0_099068_2019-11-05_final
2019-11-05 09:56:25	ga_ls7e_ard_3-1-0_099076_2019-11-05_final
2019-11-15 08:56:09	ga_ls7e_ard_3-1-0_089081_2019-11-14_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-18 09:23:43	ga_ls7e_ard_3-1-0_094073_2019-11-17_final
2019-11-21 09:52:29	ga_ls7e_ard_3-1-0_099068_2019-11-21_final
2019-12-04 09:22:57	ga_ls7e_ard_3-1-0_094073_2019-12-03_final
2019-12-14 10:03:55	ga_ls7e_ard_3-1-0_100084_2019-12-14_final
2019-12-20 09:25:44	ga_ls7e_ard_3-1-0_094082_2019-12-19_final
2019-12-23 09:50:54	ga_ls7e_ard_3-1-0_099068_2019-12-23_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2019-12-29 09:16:42	ga_ls7e_ard_3-1-0_093076_2019-12-28_final
2020-01-10 11:19:17	ga_ls7e_ard_3-1-0_113075_2020-01-10_final
2020-01-14 10:54:46	ga_ls7e_ard_3-1-0_109076_2020-01-14_final
2020-01-21 11:00:36	ga_ls7e_ard_3-1-0_110076_2020-01-21_final
2020-01-25 09:01:35	ga_ls7e_ard_3-1-0_090088_2020-01-24_final
2020-01-26 09:41:12	ga_ls7e_ard_3-1-0_097079_2020-01-26_final
2020-01-27 10:20:26	ga_ls7e_ard_3-1-0_104069_2020-01-27_final
2020-02-04 11:14:39	ga_ls7e_ard_3-1-0_112082_2020-02-04_final
2020-02-06 10:59:00	ga_ls7e_ard_3-1-0_110074_2020-02-06_final
2020-02-11 11:17:17	ga_ls7e_ard_3-1-0_113074_2020-02-11_final
2020-02-16 10:00:40	ga_ls7e_ard_3-1-0_100084_2020-02-16_final
2020-02-27 11:13:39	ga_ls7e_ard_3-1-0_113067_2020-02-27_final
2020-03-29 08:54:36	ga_ls7e_ard_3-1-0_090079_2020-03-28_final
2020-04-13 09:44:34	ga_ls7e_ard_3-1-0_099067_2020-04-13_final
2020-04-19 09:15:07	ga_ls7e_ard_3-1-0_093087_2020-04-18_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-20 10:17:21	ga_ls7e_ard_3-2-1_113072_2022-03-20_final
2022-03-24 08:18:34	ga_ls7e_ard_3-2-1_093085_2022-03-23_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_final
2022-03-27 10:24:04	ga_ls7e_ard_3-2-1_114075_2022-03-27_final
2022-03-28 09:27:57	ga_ls7e_ard_3-2-1_105074_2022-03-27_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