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
1999-07-22 09:37:24	ga_ls7e_ard_3-1-0_094083_1999-07-22_final
1999-07-31 11:09:25	ga_ls7e_ard_3-1-0_109081_1999-07-31_final
1999-09-05 09:05:51	ga_ls7e_ard_3-1-0_089081_1999-09-04_final
1999-11-17 10:34:06	ga_ls7e_ard_3-1-0_104070_1999-11-17_final
2000-01-20 10:34:00	ga_ls7e_ard_3-1-0_104070_2000-01-20_final
2000-06-03 09:04:48	ga_ls7e_ard_3-1-0_089081_2000-06-02_final
2000-08-15 10:32:19	ga_ls7e_ard_3-1-0_104070_2000-08-15_final
2000-08-23 11:27:15	ga_ls7e_ard_3-1-0_112084_2000-08-23_final
2001-04-19 09:03:02	ga_ls7e_ard_3-1-0_089081_2001-04-18_final
2001-05-05 09:02:58	ga_ls7e_ard_3-1-0_089081_2001-05-04_final
2001-05-12 09:10:38	ga_ls7e_ard_3-1-0_090085_2001-05-11_final
2001-07-24 09:02:11	ga_ls7e_ard_3-1-0_089081_2001-07-23_final
2001-09-03 10:29:52	ga_ls7e_ard_3-1-0_104070_2001-09-03_final
2002-04-02 09:28:47	ga_ls7e_ard_3-1-0_093087_2002-04-01_final
2002-05-08 09:01:45	ga_ls7e_ard_3-1-0_089081_2002-05-07_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2002-08-05 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-08-05_final
2003-05-11 09:01:39	ga_ls7e_ard_3-1-0_089081_2003-05-10_final
2003-07-27 10:09:23	ga_ls7e_ard_3-1-0_100081_2003-07-27_final
2003-08-16 11:22:40	ga_ls7e_ard_3-1-0_112079_2003-08-16_final
2003-08-18 09:29:50	ga_ls7e_ard_3-1-0_094075_2003-08-17_final
2004-04-20 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-04-20_final
2004-09-15 10:09:31	ga_ls7e_ard_3-1-0_100081_2004-09-15_final
2005-02-22 10:10:32	ga_ls7e_ard_3-1-0_100081_2005-02-22_final
2005-04-07 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-04-07_final
2006-03-01 11:23:33	ga_ls7e_ard_3-1-0_112077_2006-03-01_final
2006-12-10 10:11:02	ga_ls7e_ard_3-1-0_100081_2006-12-10_final
2007-01-11 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-01-11_final
2009-04-02 10:31:30	ga_ls7e_ard_3-1-0_104070_2009-04-02_final
2010-02-24 11:25:27	ga_ls7e_ard_3-1-0_112077_2010-02-24_final
2010-12-01 10:34:08	ga_ls7e_ard_3-1-0_104070_2010-12-01_final
2011-09-23 11:27:31	ga_ls7e_ard_3-1-0_112079_2011-09-23_final
2012-02-09 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-02-09_final
2012-04-26 10:35:33	ga_ls7e_ard_3-1-0_104070_2012-04-26_final
2012-08-08 11:28:31	ga_ls7e_ard_3-1-0_112077_2012-08-08_final
2013-01-07 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-01-07_final
2013-02-08 10:37:26	ga_ls7e_ard_3-1-0_104070_2013-02-08_final
2013-04-13 10:37:14	ga_ls7e_ard_3-1-0_104070_2013-04-13_final
2013-11-11 10:17:04	ga_ls7e_ard_3-1-0_100081_2013-11-11_final
2013-12-19 09:40:56	ga_ls7e_ard_3-1-0_094083_2013-12-19_final
2013-12-29 10:17:19	ga_ls7e_ard_3-1-0_100081_2013-12-29_final
2014-03-19 10:17:48	ga_ls7e_ard_3-1-0_100081_2014-03-19_final
2014-06-22 11:13:57	ga_ls7e_ard_3-1-0_109081_2014-06-22_final
2014-11-04 09:42:49	ga_ls7e_ard_3-1-0_094083_2014-11-04_final
2015-03-21 11:15:32	ga_ls7e_ard_3-1-0_109081_2015-03-21_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2015-05-05 10:40:33	ga_ls7e_ard_3-1-0_104070_2015-05-05_final
2015-05-24 11:15:59	ga_ls7e_ard_3-1-0_109081_2015-05-24_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2015-09-29 09:38:24	ga_ls7e_ard_3-1-0_093083_2015-09-29_final
2015-09-29 11:16:29	ga_ls7e_ard_3-1-0_109081_2015-09-29_final
2016-01-03 11:17:57	ga_ls7e_ard_3-1-0_109081_2016-01-03_final
2017-04-08 10:43:31	ga_ls7e_ard_3-1-0_104070_2017-04-08_final
2017-08-21 09:15:31	ga_ls7e_ard_3-1-0_089081_2017-08-20_final
2018-10-12 11:30:44	ga_ls7e_ard_3-1-0_112077_2018-10-12_final
2019-02-19 09:36:44	ga_ls7e_ard_3-1-0_094079_2019-02-19_final
2019-03-06 10:31:53	ga_ls7e_ard_3-1-0_103079_2019-03-06_final
2019-03-16 09:29:45	ga_ls7e_ard_3-1-0_093079_2019-03-15_final
2019-03-16 09:30:57	ga_ls7e_ard_3-1-0_093082_2019-03-16_final
2019-03-21 11:26:13	ga_ls7e_ard_3-1-0_112077_2019-03-21_final
2019-03-22 10:31:21	ga_ls7e_ard_3-1-0_103079_2019-03-22_final
2019-03-29 10:34:30	ga_ls7e_ard_3-1-0_104072_2019-03-29_final
2019-07-17 09:07:54	ga_ls7e_ard_3-1-0_090082_2019-07-16_final
2019-07-29 09:30:08	ga_ls7e_ard_3-1-0_094077_2019-07-29_final
2019-09-02 09:58:23	ga_ls7e_ard_3-1-0_099074_2019-09-02_final
2019-09-05 10:31:09	ga_ls7e_ard_3-1-0_104079_2019-09-05_final
2019-09-09 10:03:51	ga_ls7e_ard_3-1-0_100073_2019-09-09_final
2019-09-10 10:49:04	ga_ls7e_ard_3-1-0_107078_2019-09-10_final
2019-10-01 09:27:25	ga_ls7e_ard_3-1-0_094077_2019-09-30_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-28 10:47:01	ga_ls7e_ard_3-1-0_107078_2019-10-28_final
2019-11-13 10:46:17	ga_ls7e_ard_3-1-0_107078_2019-11-13_final
2019-11-17 10:20:11	ga_ls7e_ard_3-1-0_103075_2019-11-17_final
2019-11-18 09:25:43	ga_ls7e_ard_3-1-0_094078_2019-11-17_final
2019-12-04 09:24:33	ga_ls7e_ard_3-1-0_094077_2019-12-03_final
2019-12-19 10:18:37	ga_ls7e_ard_3-1-0_103075_2019-12-19_final
2020-01-05 09:23:42	ga_ls7e_ard_3-1-0_094079_2020-01-04_final
2020-02-12 10:23:36	ga_ls7e_ard_3-1-0_104079_2020-02-12_final
2020-02-21 10:15:21	ga_ls7e_ard_3-1-0_103075_2020-02-21_final
2020-03-07 11:10:34	ga_ls7e_ard_3-1-0_112076_2020-03-07_final
2020-03-08 10:16:06	ga_ls7e_ard_3-1-0_103079_2020-03-08_final
2020-03-15 10:18:42	ga_ls7e_ard_3-1-0_104071_2020-03-15_final
2020-03-15 10:20:18	ga_ls7e_ard_3-1-0_104075_2020-03-15_final
2020-03-18 10:52:38	ga_ls7e_ard_3-1-0_109079_2020-03-18_final
2020-03-19 09:57:45	ga_ls7e_ard_3-1-0_100081_2020-03-19_final
2020-03-23 11:09:42	ga_ls7e_ard_3-1-0_112076_2020-03-23_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-04-03 10:52:08	ga_ls7e_ard_3-1-0_109080_2020-04-03_final
2020-04-20 09:52:44	ga_ls7e_ard_3-1-0_100073_2020-04-20_final
2020-04-21 10:39:31	ga_ls7e_ard_3-1-0_107082_2020-04-21_final
2020-04-24 11:08:15	ga_ls7e_ard_3-1-0_112077_2020-04-24_final
2020-04-25 10:13:22	ga_ls7e_ard_3-1-0_103079_2020-04-25_final
2020-04-29 09:46:25	ga_ls7e_ard_3-1-0_099074_2020-04-29_final
2022-03-13 10:13:52	ga_ls7e_ard_3-2-1_112077_2022-03-13_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_2022-03-19_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-03-27 08:47:59	ga_ls7e_ard_3-2-1_098082_2022-03-26_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-03-31 10:00:10	ga_ls7e_ard_3-2-1_110078_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