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
2000-09-10 09:35:19	ga_ls7e_ard_3-1-0_094083_2000-09-10_final
2000-10-16 09:10:49	ga_ls7e_ard_3-1-0_090085_2000-10-15_final
2000-12-21 10:31:39	ga_ls7e_ard_3-1-0_104070_2000-12-21_final
2001-01-20 10:46:05	ga_ls7e_ard_3-1-0_106075_2001-01-20_final
2001-01-23 11:19:48	ga_ls7e_ard_3-1-0_111082_2001-01-23_final
2001-04-04 11:26:18	ga_ls7e_ard_3-1-0_112084_2001-04-04_final
2001-08-02 10:30:21	ga_ls7e_ard_3-1-0_104070_2001-08-02_final
2002-01-17 11:25:03	ga_ls7e_ard_3-1-0_112084_2002-01-17_final
2002-01-23 10:45:15	ga_ls7e_ard_3-1-0_106077_2002-01-23_final
2002-04-10 10:13:30	ga_ls7e_ard_3-1-0_101075_2002-04-10_final
2002-10-11 11:04:06	ga_ls7e_ard_3-1-0_109081_2002-10-11_final
2003-01-15 11:04:57	ga_ls7e_ard_3-1-0_109081_2003-01-15_final
2003-04-28 09:26:59	ga_ls7e_ard_3-1-0_094067_2003-04-27_final
2003-05-03 09:49:07	ga_ls7e_ard_3-1-0_097076_2003-05-03_final
2003-08-19 10:13:05	ga_ls7e_ard_3-1-0_101075_2003-08-19_final
2004-04-30 09:30:11	ga_ls7e_ard_3-1-0_094074_2004-04-30_final
2004-05-15 10:27:26	ga_ls7e_ard_3-1-0_103078_2004-05-15_final
2004-05-17 10:13:52	ga_ls7e_ard_3-1-0_101075_2004-05-17_final
2005-06-20 09:27:39	ga_ls7e_ard_3-1-0_094067_2005-06-19_final
2005-10-11 10:13:44	ga_ls7e_ard_3-1-0_101075_2005-10-11_final
2005-10-16 10:30:22	ga_ls7e_ard_3-1-0_104070_2005-10-16_final
2006-03-03 09:34:42	ga_ls7e_ard_3-1-0_094083_2006-03-03_final
2006-03-12 09:30:08	ga_ls7e_ard_3-1-0_093087_2006-03-12_final
2007-08-22 09:28:25	ga_ls7e_ard_3-1-0_093083_2007-08-21_final
2007-10-23 11:19:09	ga_ls7e_ard_3-1-0_111082_2007-10-23_final
2007-11-19 09:22:00	ga_ls7e_ard_3-1-0_092082_2007-11-18_final
2008-01-11 11:19:38	ga_ls7e_ard_3-1-0_111082_2008-01-11_final
2008-05-12 10:14:42	ga_ls7e_ard_3-1-0_101075_2008-05-12_final
2008-09-25 11:05:20	ga_ls7e_ard_3-1-0_109081_2008-09-25_final
2009-04-19 11:19:38	ga_ls7e_ard_3-1-0_111082_2009-04-19_final
2009-05-20 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-05-20_final
2010-03-15 10:16:49	ga_ls7e_ard_3-1-0_101075_2010-03-15_final
2010-04-21 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-04-21_final
2010-07-23 11:44:14	ga_ls7e_ard_3-1-0_115077_2010-07-23_final
2010-12-25 11:27:22	ga_ls7e_ard_3-1-0_112079_2010-12-25_final
2011-05-26 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-05-26_final
2011-11-28 09:38:19	ga_ls7e_ard_3-1-0_094083_2011-11-28_final
2012-11-04 10:37:04	ga_ls7e_ard_3-1-0_104070_2012-11-04_final
2012-12-22 10:37:22	ga_ls7e_ard_3-1-0_104070_2012-12-22_final
2013-12-28 09:34:51	ga_ls7e_ard_3-1-0_093083_2013-12-28_final
2014-04-15 09:57:26	ga_ls7e_ard_3-1-0_097076_2014-04-15_final
2014-04-29 11:49:13	ga_ls7e_ard_3-1-0_115077_2014-04-29_final
2014-10-10 11:24:50	ga_ls7e_ard_3-1-0_111076_2014-10-10_final
2014-10-17 11:31:28	ga_ls7e_ard_3-1-0_112077_2014-10-17_final
2014-10-28 09:36:32	ga_ls7e_ard_3-1-0_093083_2014-10-28_final
2015-01-10 11:50:34	ga_ls7e_ard_3-1-0_115077_2015-01-10_final
2015-11-07 09:38:47	ga_ls7e_ard_3-1-0_094067_2015-11-07_final
2016-05-15 11:38:39	ga_ls7e_ard_3-1-0_112084_2016-05-15_final
2016-05-23 10:43:40	ga_ls7e_ard_3-1-0_104070_2016-05-23_final
2016-07-02 11:38:49	ga_ls7e_ard_3-1-0_112084_2016-07-02_final
2017-04-08 10:43:31	ga_ls7e_ard_3-1-0_104070_2017-04-08_final
2017-05-27 11:29:25	ga_ls7e_ard_3-1-0_111076_2017-05-27_final
2017-07-30 09:51:50	ga_ls7e_ard_3-1-0_095079_2017-07-30_final
2017-12-08 10:23:20	ga_ls7e_ard_3-1-0_100081_2017-12-08_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-10-31 10:21:32	ga_ls7e_ard_3-1-0_101075_2018-10-31_final
2019-02-23 09:12:41	ga_ls7e_ard_3-1-0_090081_2019-02-22_final
2019-03-07 09:36:38	ga_ls7e_ard_3-1-0_094080_2019-03-07_final
2019-03-07 09:38:14	ga_ls7e_ard_3-1-0_094084_2019-03-07_final
2019-03-07 09:38:37	ga_ls7e_ard_3-1-0_094085_2019-03-07_final
2019-03-27 09:12:03	ga_ls7e_ard_3-1-0_090082_2019-03-26_final
2019-05-13 10:07:08	ga_ls7e_ard_3-1-0_099085_2019-05-13_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-09-04 09:48:43	ga_ls7e_ard_3-1-0_097081_2019-09-04_final
2019-09-06 11:14:22	ga_ls7e_ard_3-1-0_111079_2019-09-06_final
2019-09-08 09:23:26	ga_ls7e_ard_3-1-0_093080_2019-09-07_final
2019-09-17 09:15:15	ga_ls7e_ard_3-1-0_092076_2019-09-16_final
2019-09-30 10:19:53	ga_ls7e_ard_3-1-0_103069_2019-09-30_final
2019-10-08 11:08:12	ga_ls7e_ard_3-1-0_111067_2019-10-08_final
2019-10-11 10:02:29	ga_ls7e_ard_3-1-0_100073_2019-10-11_final
2019-10-15 11:19:16	ga_ls7e_ard_3-1-0_112080_2019-10-15_final
2019-10-16 10:21:13	ga_ls7e_ard_3-1-0_103074_2019-10-16_final
2019-10-20 09:56:43	ga_ls7e_ard_3-1-0_099075_2019-10-20_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-11-24 10:27:38	ga_ls7e_ard_3-1-0_104079_2019-11-24_final
2019-11-25 11:12:26	ga_ls7e_ard_3-1-0_111083_2019-11-25_final
2019-12-04 09:25:45	ga_ls7e_ard_3-1-0_094080_2019-12-03_final
2019-12-07 09:53:42	ga_ls7e_ard_3-1-0_099073_2019-12-07_final
2019-12-21 10:08:57	ga_ls7e_ard_3-1-0_101082_2019-12-21_final
2019-12-27 11:09:14	ga_ls7e_ard_3-1-0_111079_2019-12-27_final
2019-12-29 10:57:34	ga_ls7e_ard_3-1-0_109081_2019-12-29_final
2020-01-12 11:08:01	ga_ls7e_ard_3-1-0_111078_2020-01-12_final
2020-01-12 11:10:25	ga_ls7e_ard_3-1-0_111084_2020-01-12_final
2020-01-30 09:19:05	ga_ls7e_ard_3-1-0_093086_2020-01-29_final
2020-02-06 11:01:23	ga_ls7e_ard_3-1-0_110080_2020-02-06_final
2020-02-15 09:16:40	ga_ls7e_ard_3-1-0_093082_2020-02-14_final
2020-02-18 09:41:49	ga_ls7e_ard_3-1-0_098068_2020-02-18_final
2020-03-08 10:14:06	ga_ls7e_ard_3-1-0_103074_2020-03-08_final
2020-03-23 11:09:42	ga_ls7e_ard_3-1-0_112076_2020-03-23_final
2020-03-24 10:11:37	ga_ls7e_ard_3-1-0_103070_2020-03-24_final
2020-03-31 10:17:48	ga_ls7e_ard_3-1-0_104071_2020-03-31_final
2020-04-08 11:10:23	ga_ls7e_ard_3-1-0_112080_2020-04-08_final
2020-04-20 09:52:44	ga_ls7e_ard_3-1-0_100073_2020-04-20_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-20 08:42:51	ga_ls7e_ard_3-2-1_097083_2022-03-19_final
2022-03-21 09:23:14	ga_ls7e_ard_3-2-1_104076_2022-03-20_final
2022-03-29 08:33:50	ga_ls7e_ard_3-2-1_096078_2022-03-28_final
2022-03-31 08:24:53	ga_ls7e_ard_3-2-1_094087_2022-03-30_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_2022-03-31_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