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
1999-10-19 09:32:56	ga_ls7e_ard_3-1-0_093087_1999-10-19_final
1999-11-24 09:05:40	ga_ls7e_ard_3-1-0_089081_1999-11-23_final
1999-11-25 11:29:01	ga_ls7e_ard_3-1-0_112084_1999-11-25_final
2000-11-26 09:03:16	ga_ls7e_ard_3-1-0_089081_2000-11-25_final
2003-12-21 09:01:45	ga_ls7e_ard_3-1-0_089081_2003-12-20_final
2004-01-06 09:01:50	ga_ls7e_ard_3-1-0_089081_2004-01-05_final
2004-03-17 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-03-16_final
2004-08-17 09:04:54	ga_ls7e_ard_3-1-0_089089_2004-08-16_final
2004-09-25 09:09:18	ga_ls7e_ard_3-1-0_090085_2004-09-24_final
2004-10-16 09:28:39	ga_ls7e_ard_3-1-0_093087_2004-10-15_final
2005-11-27 09:30:11	ga_ls7e_ard_3-1-0_094073_2005-11-27_final
2006-05-22 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-05-21_final
2006-09-11 09:27:48	ga_ls7e_ard_3-1-0_094067_2006-09-10_final
2006-11-01 10:04:28	ga_ls7e_ard_3-1-0_099081_2006-11-01_final
2006-12-03 10:01:13	ga_ls7e_ard_3-1-0_099072_2006-12-03_final
2007-01-05 09:10:54	ga_ls7e_ard_3-1-0_090085_2007-01-04_final
2007-01-07 10:31:27	ga_ls7e_ard_3-1-0_104070_2007-01-07_final
2007-09-27 09:02:41	ga_ls7e_ard_3-1-0_089081_2007-09-26_final
2007-11-14 09:03:01	ga_ls7e_ard_3-1-0_089081_2007-11-13_final
2008-02-25 09:10:55	ga_ls7e_ard_3-1-0_090085_2008-02-24_final
2008-08-18 09:59:28	ga_ls7e_ard_3-1-0_099070_2008-08-18_final
2008-09-25 09:28:50	ga_ls7e_ard_3-1-0_093087_2008-09-24_final
2009-05-02 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-05-01_final
2009-05-30 09:28:40	ga_ls7e_ard_3-1-0_094067_2009-05-29_final
2009-05-30 11:09:33	ga_ls7e_ard_3-1-0_110072_2009-05-30_final
2009-11-04 11:26:43	ga_ls7e_ard_3-1-0_112084_2009-11-04_final
2009-11-22 11:09:48	ga_ls7e_ard_3-1-0_110072_2009-11-22_final
2010-02-23 09:04:54	ga_ls7e_ard_3-1-0_089081_2010-02-22_final
2010-03-07 11:08:36	ga_ls7e_ard_3-1-0_109081_2010-03-07_final
2010-04-15 09:30:27	ga_ls7e_ard_3-1-0_094067_2010-04-15_final
2010-11-09 11:11:45	ga_ls7e_ard_3-1-0_110072_2010-11-09_final
2011-07-23 09:31:44	ga_ls7e_ard_3-1-0_094067_2011-07-23_final
2012-01-03 09:14:42	ga_ls7e_ard_3-1-0_090085_2012-01-02_final
2012-05-03 09:07:25	ga_ls7e_ard_3-1-0_089081_2012-05-02_final
2012-05-06 09:32:48	ga_ls7e_ard_3-1-0_094067_2012-05-06_final
2013-02-11 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-02-11_final
2013-02-21 10:12:05	ga_ls7e_ard_3-1-0_099084_2013-02-21_final
2013-04-04 09:08:58	ga_ls7e_ard_3-1-0_089081_2013-04-03_final
2013-04-23 09:34:08	ga_ls7e_ard_3-1-0_094067_2013-04-23_final
2013-06-26 09:33:49	ga_ls7e_ard_3-1-0_094067_2013-06-26_final
2014-01-26 10:38:01	ga_ls7e_ard_3-1-0_104070_2014-01-26_final
2014-08-30 11:29:53	ga_ls7e_ard_3-1-0_112074_2014-08-30_final
2014-12-26 09:19:13	ga_ls7e_ard_3-1-0_090085_2014-12-25_final
2015-10-19 09:13:11	ga_ls7e_ard_3-1-0_089081_2015-10-18_final
2015-11-21 11:37:03	ga_ls7e_ard_3-1-0_112084_2015-11-21_final
2016-07-04 09:40:47	ga_ls7e_ard_3-1-0_094067_2016-07-04_final
2016-10-12 09:23:27	ga_ls7e_ard_3-1-0_090085_2016-10-11_final
2017-03-01 11:21:11	ga_ls7e_ard_3-1-0_110072_2017-03-01_final
2017-07-07 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-07_final
2017-12-07 09:42:28	ga_ls7e_ard_3-1-0_093087_2017-12-07_final
2018-08-24 09:11:18	ga_ls7e_ard_3-1-0_089081_2018-08-23_final
2018-10-18 09:17:49	ga_ls7e_ard_3-1-0_090085_2018-10-17_final
2018-12-14 09:08:40	ga_ls7e_ard_3-1-0_089081_2018-12-13_final
2019-01-02 09:33:26	ga_ls7e_ard_3-1-0_094067_2019-01-02_final
2019-01-22 09:15:15	ga_ls7e_ard_3-1-0_090085_2019-01-21_final
2019-02-25 10:34:21	ga_ls7e_ard_3-1-0_104069_2019-02-25_final
2019-02-28 09:32:40	ga_ls7e_ard_3-1-0_093085_2019-02-28_final
2019-03-12 11:28:42	ga_ls7e_ard_3-1-0_113067_2019-03-12_final
2019-03-18 10:57:48	ga_ls7e_ard_3-1-0_107083_2019-03-18_final
2019-04-21 09:04:35	ga_ls7e_ard_3-1-0_089081_2019-04-20_final
2019-08-25 10:46:34	ga_ls7e_ard_3-1-0_107070_2019-08-25_final
2019-09-05 10:26:45	ga_ls7e_ard_3-1-0_104068_2019-09-05_final
2019-09-15 11:05:47	ga_ls7e_ard_3-1-0_110074_2019-09-15_final
2019-09-25 10:02:20	ga_ls7e_ard_3-1-0_100071_2019-09-25_final
2019-09-25 10:02:44	ga_ls7e_ard_3-1-0_100072_2019-09-25_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2019-10-27 10:05:47	ga_ls7e_ard_3-1-0_100083_2019-10-27_final
2019-11-15 08:55:21	ga_ls7e_ard_3-1-0_089079_2019-11-14_final
2019-11-15 08:56:33	ga_ls7e_ard_3-1-0_089082_2019-11-14_final
2019-11-18 11:06:59	ga_ls7e_ard_3-1-0_110084_2019-11-18_final
2019-12-02 11:18:41	ga_ls7e_ard_3-1-0_112084_2019-12-02_final
2019-12-15 10:45:08	ga_ls7e_ard_3-1-0_107079_2019-12-15_final
2019-12-17 08:54:12	ga_ls7e_ard_3-1-0_089080_2019-12-16_final
2019-12-20 11:00:38	ga_ls7e_ard_3-1-0_110072_2019-12-20_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-25 11:20:54	ga_ls7e_ard_3-1-0_113077_2019-12-25_final
2019-12-31 10:41:31	ga_ls7e_ard_3-1-0_107072_2019-12-31_final
2019-12-31 10:46:18	ga_ls7e_ard_3-1-0_107084_2019-12-31_final
2020-01-05 11:01:47	ga_ls7e_ard_3-1-0_110077_2020-01-05_final
2020-01-09 08:59:11	ga_ls7e_ard_3-1-0_090080_2020-01-08_final
2020-01-20 10:16:59	ga_ls7e_ard_3-1-0_103075_2020-01-20_final
2020-01-26 11:21:41	ga_ls7e_ard_3-1-0_113083_2020-01-26_final
2020-02-22 10:55:22	ga_ls7e_ard_3-1-0_110067_2020-02-22_final
2020-03-24 10:15:37	ga_ls7e_ard_3-1-0_103080_2020-03-24_final
2020-03-25 09:19:08	ga_ls7e_ard_3-1-0_094078_2020-03-24_final
2020-03-30 11:14:41	ga_ls7e_ard_3-1-0_113074_2020-03-30_final
2020-04-04 09:53:16	ga_ls7e_ard_3-1-0_100072_2020-04-04_final
2020-04-07 08:50:42	ga_ls7e_ard_3-1-0_089086_2020-04-06_final
2020-04-08 11:11:11	ga_ls7e_ard_3-1-0_112082_2020-04-08_final
2020-04-10 10:54:19	ga_ls7e_ard_3-1-0_110071_2020-04-10_final
2020-04-20 09:55:07	ga_ls7e_ard_3-1-0_100079_2020-04-20_final
2020-04-24 11:07:03	ga_ls7e_ard_3-1-0_112074_2020-04-24_final
2022-03-13 10:12:40	ga_ls7e_ard_3-2-1_112074_2022-03-13_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_final
2022-03-26 09:44:06	ga_ls7e_ard_3-2-1_107083_2022-03-26_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_final
2022-04-02 09:44:25	ga_ls7e_ard_3-2-1_108070_2022-04-02_final
2022-04-04 07:56:34	ga_ls7e_ard_3-2-1_090079_2022-04-03_final
2022-04-05 08:36:08	ga_ls7e_ard_3-2-1_097070_2022-04-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years