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
2000-01-31 10:17:29	ga_ls7e_ard_3-1-0_101075_2000-01-31_final
2000-04-03 11:11:35	ga_ls7e_ard_3-1-0_110072_2000-04-03_final
2000-05-12 09:38:55	ga_ls7e_ard_3-1-0_095073_2000-05-12_final
2001-03-08 11:42:20	ga_ls7e_ard_3-1-0_115077_2001-03-08_final
2001-05-27 11:41:49	ga_ls7e_ard_3-1-0_115077_2001-05-27_final
2001-12-09 09:35:23	ga_ls7e_ard_3-1-0_095073_2001-12-09_final
2002-02-20 11:07:55	ga_ls7e_ard_3-1-0_110072_2002-02-20_final
2002-04-12 11:40:49	ga_ls7e_ard_3-1-0_115077_2002-04-12_final
2002-09-16 11:06:55	ga_ls7e_ard_3-1-0_110072_2002-09-16_final
2002-11-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-11-25_final
2003-03-20 09:28:43	ga_ls7e_ard_3-1-0_093087_2003-03-19_final
2003-05-01 11:40:46	ga_ls7e_ard_3-1-0_115077_2003-05-01_final
2003-05-21 09:35:28	ga_ls7e_ard_3-1-0_095073_2003-05-21_final
2003-08-06 09:09:04	ga_ls7e_ard_3-1-0_090085_2003-08-05_final
2003-11-18 09:52:46	ga_ls7e_ard_3-1-0_098070_2003-11-18_final
2004-02-07 09:02:01	ga_ls7e_ard_3-1-0_089081_2004-02-06_final
2004-05-16 11:08:18	ga_ls7e_ard_3-1-0_110072_2004-05-16_final
2004-07-23 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-07-22_final
2004-07-26 11:18:10	ga_ls7e_ard_3-1-0_111082_2004-07-26_final
2004-08-20 09:29:49	ga_ls7e_ard_3-1-0_094074_2004-08-19_final
2004-08-24 09:09:28	ga_ls7e_ard_3-1-0_090085_2004-08-23_final
2004-10-24 10:13:26	ga_ls7e_ard_3-1-0_101075_2004-10-24_final
2005-04-26 11:06:05	ga_ls7e_ard_3-1-0_109081_2005-04-26_final
2005-05-03 09:30:13	ga_ls7e_ard_3-1-0_094073_2005-05-03_final
2005-08-03 09:57:32	ga_ls7e_ard_3-1-0_098080_2005-08-03_final
2005-10-03 11:05:35	ga_ls7e_ard_3-1-0_109081_2005-10-03_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2006-01-21 11:19:12	ga_ls7e_ard_3-1-0_111082_2006-01-21_final
2006-03-28 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-03-28_final
2007-04-07 11:09:38	ga_ls7e_ard_3-1-0_110072_2007-04-07_final
2008-03-17 09:30:10	ga_ls7e_ard_3-1-0_093087_2008-03-17_final
2008-06-16 10:45:19	ga_ls7e_ard_3-1-0_106075_2008-06-16_final
2008-07-05 09:36:19	ga_ls7e_ard_3-1-0_095073_2008-07-05_final
2010-01-16 11:20:48	ga_ls7e_ard_3-1-0_111082_2010-01-16_final
2010-05-08 09:38:58	ga_ls7e_ard_3-1-0_095073_2010-05-08_final
2010-07-20 11:12:31	ga_ls7e_ard_3-1-0_110075_2010-07-20_final
2010-07-29 11:08:44	ga_ls7e_ard_3-1-0_109081_2010-07-29_final
2010-10-01 09:27:51	ga_ls7e_ard_3-1-0_093076_2010-09-30_final
2010-12-15 10:48:36	ga_ls7e_ard_3-1-0_106075_2010-12-15_final
2010-12-18 11:22:19	ga_ls7e_ard_3-1-0_111082_2010-12-18_final
2011-05-20 11:12:40	ga_ls7e_ard_3-1-0_110072_2011-05-20_final
2012-03-03 11:13:13	ga_ls7e_ard_3-1-0_110072_2012-03-03_final
2012-11-11 09:12:00	ga_ls7e_ard_3-1-0_089089_2012-11-10_final
2013-03-09 11:48:09	ga_ls7e_ard_3-1-0_115077_2013-03-09_final
2013-09-18 10:51:15	ga_ls7e_ard_3-1-0_106075_2013-09-18_final
2014-02-09 09:17:33	ga_ls7e_ard_3-1-0_090085_2014-02-08_final
2015-05-22 09:46:16	ga_ls7e_ard_3-1-0_095073_2015-05-22_final
2015-10-03 09:16:03	ga_ls7e_ard_3-1-0_089089_2015-10-02_final
2016-09-03 09:15:36	ga_ls7e_ard_3-1-0_089081_2016-09-02_final
2016-09-29 09:51:57	ga_ls7e_ard_3-1-0_095079_2016-09-29_final
2017-09-26 10:27:16	ga_ls7e_ard_3-1-0_101075_2017-09-26_final
2017-12-31 10:26:52	ga_ls7e_ard_3-1-0_101075_2017-12-31_final
2018-03-12 10:31:18	ga_ls7e_ard_3-1-0_102073_2018-03-12_final
2018-04-25 09:21:16	ga_ls7e_ard_3-1-0_090085_2018-04-24_final
2018-09-05 11:14:40	ga_ls7e_ard_3-1-0_109081_2018-09-05_final
2018-11-03 09:17:29	ga_ls7e_ard_3-1-0_090085_2018-11-02_final
2019-01-06 09:14:34	ga_ls7e_ard_3-1-0_090082_2019-01-05_final
2019-01-22 09:15:15	ga_ls7e_ard_3-1-0_090085_2019-01-21_final
2019-03-02 10:55:56	ga_ls7e_ard_3-1-0_107077_2019-03-02_final
2019-03-11 10:47:04	ga_ls7e_ard_3-1-0_106071_2019-03-11_final
2019-03-18 10:52:37	ga_ls7e_ard_3-1-0_107070_2019-03-18_final
2019-03-20 09:05:42	ga_ls7e_ard_3-1-0_089081_2019-03-19_final
2019-03-22 10:32:09	ga_ls7e_ard_3-1-0_103081_2019-03-22_final
2019-03-23 11:13:23	ga_ls7e_ard_3-1-0_110076_2019-03-23_final
2019-08-11 09:00:18	ga_ls7e_ard_3-1-0_089081_2019-08-10_final
2019-09-23 10:19:11	ga_ls7e_ard_3-1-0_102082_2019-09-23_final
2019-09-27 09:49:54	ga_ls7e_ard_3-1-0_098071_2019-09-27_final
2019-10-02 10:13:02	ga_ls7e_ard_3-1-0_101083_2019-10-02_final
2019-10-06 11:25:50	ga_ls7e_ard_3-1-0_113080_2019-10-06_final
2019-10-18 10:07:34	ga_ls7e_ard_3-1-0_101071_2019-10-18_final
2019-10-19 09:13:30	ga_ls7e_ard_3-1-0_092075_2019-10-18_final
2019-10-26 10:56:16	ga_ls7e_ard_3-1-0_109070_2019-10-26_final
2019-11-03 10:07:16	ga_ls7e_ard_3-1-0_101072_2019-11-03_final
2019-11-08 10:25:59	ga_ls7e_ard_3-1-0_104073_2019-11-08_final
2019-11-23 11:22:54	ga_ls7e_ard_3-1-0_113078_2019-11-23_final
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_final
2019-12-10 10:26:27	ga_ls7e_ard_3-1-0_104078_2019-12-10_final
2019-12-20 09:25:44	ga_ls7e_ard_3-1-0_094082_2019-12-19_final
2019-12-24 10:38:54	ga_ls7e_ard_3-1-0_106080_2019-12-24_final
2019-12-26 10:24:02	ga_ls7e_ard_3-1-0_104074_2019-12-26_final
2019-12-27 09:30:45	ga_ls7e_ard_3-1-0_095080_2019-12-27_final
2019-12-27 11:10:26	ga_ls7e_ard_3-1-0_111082_2019-12-27_final
2020-01-04 10:15:47	ga_ls7e_ard_3-1-0_103070_2020-01-04_final
2020-01-10 09:43:35	ga_ls7e_ard_3-1-0_097083_2020-01-10_final
2020-01-12 09:30:20	ga_ls7e_ard_3-1-0_095081_2020-01-12_final
2020-01-13 10:10:45	ga_ls7e_ard_3-1-0_102074_2020-01-13_final
2020-01-14 10:57:33	ga_ls7e_ard_3-1-0_109083_2020-01-14_final
2020-01-31 10:00:18	ga_ls7e_ard_3-1-0_100081_2020-01-31_final
2020-02-02 09:45:26	ga_ls7e_ard_3-1-0_098075_2020-02-02_final
2020-02-02 09:47:02	ga_ls7e_ard_3-1-0_098079_2020-02-02_final
2020-02-18 09:46:12	ga_ls7e_ard_3-1-0_098079_2020-02-18_final
2020-02-18 09:46:36	ga_ls7e_ard_3-1-0_098080_2020-02-18_final
2020-02-20 11:12:37	ga_ls7e_ard_3-1-0_112079_2020-02-20_final
2020-03-16 11:07:06	ga_ls7e_ard_3-1-0_111084_2020-03-16_final
2020-03-24 10:16:25	ga_ls7e_ard_3-1-0_103082_2020-03-24_final
2020-03-25 09:20:44	ga_ls7e_ard_3-1-0_094082_2020-03-24_final
2020-04-10 10:55:07	ga_ls7e_ard_3-1-0_110073_2020-04-10_final
2020-04-18 10:03:37	ga_ls7e_ard_3-1-0_102069_2020-04-18_final
2020-04-27 09:59:18	ga_ls7e_ard_3-1-0_101075_2020-04-27_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_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