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
2001-05-29 11:31:01	ga_ls7e_ard_3-0-0_113081_2001-05-29_final
2003-05-17 11:41:06	ga_ls7e_ard_3-0-0_115078_2003-05-17_final
2003-08-07 11:30:25	ga_ls7e_ard_3-0-0_113083_2003-08-07_final
2003-11-18 11:35:38	ga_ls7e_ard_3-0-0_114080_2003-11-18_final
2004-08-23 11:39:59	ga_ls7e_ard_3-0-0_115075_2004-08-23_final
2004-10-12 11:30:59	ga_ls7e_ard_3-0-0_113084_2004-10-12_final
2004-11-27 11:41:29	ga_ls7e_ard_3-0-0_115078_2004-11-27_final
2004-12-22 11:33:54	ga_ls7e_ard_3-0-0_114074_2004-12-22_final
2005-06-07 11:40:19	ga_ls7e_ard_3-0-0_115074_2005-06-07_final
2006-02-11 11:35:52	ga_ls7e_ard_3-0-0_114077_2006-02-11_final
2006-05-09 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-05-09_final
2006-05-18 11:37:05	ga_ls7e_ard_3-0-0_114080_2006-05-18_final
2006-05-25 11:41:40	ga_ls7e_ard_3-0-0_115076_2006-05-25_final
2006-07-21 11:36:45	ga_ls7e_ard_3-0-0_114080_2006-07-21_final
2007-03-27 11:32:34	ga_ls7e_ard_3-0-0_113083_2007-03-27_final
2007-07-01 11:30:41	ga_ls7e_ard_3-0-0_113079_2007-07-01_final
2007-11-04 11:41:37	ga_ls7e_ard_3-0-0_115076_2007-11-04_final
2008-02-08 11:41:07	ga_ls7e_ard_3-0-0_115074_2008-02-08_final
2008-03-04 11:35:12	ga_ls7e_ard_3-0-0_114075_2008-03-04_final
2008-11-06 11:39:50	ga_ls7e_ard_3-0-0_115074_2008-11-06_final
2009-01-25 11:42:33	ga_ls7e_ard_3-0-0_115079_2009-01-25_final
2009-06-20 11:31:39	ga_ls7e_ard_3-0-0_113081_2009-06-20_final
2009-09-22 11:42:33	ga_ls7e_ard_3-0-0_115078_2009-09-22_final
2009-11-02 11:32:16	ga_ls7e_ard_3-0-0_114067_2009-11-02_final
2009-11-11 11:31:00	ga_ls7e_ard_3-0-0_113079_2009-11-11_final
2009-11-18 11:36:28	ga_ls7e_ard_3-0-0_114077_2009-11-18_final
2010-04-02 11:43:24	ga_ls7e_ard_3-0-0_115075_2010-04-02_final
2010-04-20 11:33:51	ga_ls7e_ard_3-0-0_113082_2010-04-20_final
2010-12-16 11:35:04	ga_ls7e_ard_3-0-0_113083_2010-12-16_final
2010-12-30 11:45:57	ga_ls7e_ard_3-0-0_115079_2010-12-30_final
2012-01-02 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-02_final
2012-01-02 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-02_final
2012-11-19 11:38:01	ga_ls7e_ard_3-0-0_113083_2012-11-19_final
2012-12-03 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-12-03_final
2014-02-26 11:38:45	ga_ls7e_ard_3-0-0_113083_2014-02-26_final
2014-08-19 11:50:02	ga_ls7e_ard_3-0-0_115078_2014-08-19_final
2014-10-24 11:40:08	ga_ls7e_ard_3-0-0_113083_2014-10-24_final
2015-07-14 11:41:34	ga_ls7e_ard_3-0-0_114067_2015-07-14_final
2015-08-06 11:51:49	ga_ls7e_ard_3-1-0_115077_2015-08-06_final
2016-01-29 11:54:11	ga_ls7e_ard_3-0-0_115078_2016-01-29_final
2016-03-01 11:53:33	ga_ls7e_ard_3-0-0_115076_2016-03-01_final
2016-05-20 11:53:13	ga_ls7e_ard_3-0-0_115074_2016-05-20_final
2016-10-13 11:44:47	ga_ls7e_ard_3-0-0_113083_2016-10-13_final
2016-11-12 11:54:58	ga_ls7e_ard_3-0-0_115078_2016-11-12_final
2017-06-26 11:44:41	ga_ls7e_ard_3-0-0_113083_2017-06-26_final
2017-08-20 11:47:14	ga_ls7e_ard_3-0-0_114074_2017-08-20_final
2018-07-22 11:46:02	ga_ls7e_ard_3-0-0_114080_2018-07-22_final
2018-09-17 11:36:19	ga_ls7e_ard_3-0-0_113074_2018-09-17_final
2018-11-02 11:47:37	ga_ls7e_ard_3-0-0_115074_2018-11-02_final
2019-02-15 11:35:40	ga_ls7e_ard_3-0-0_114067_2019-02-15_final
2020-01-10 11:22:28	ga_ls7e_ard_3-1-0_113083_2020-01-10_final
2020-01-26 11:18:53	ga_ls7e_ard_3-1-0_113076_2020-01-26_final
2020-02-09 11:30:32	ga_ls7e_ard_3-1-0_115076_2020-02-09_final
2020-03-05 11:22:15	ga_ls7e_ard_3-1-0_114074_2020-03-05_final
2020-05-08 11:15:47	ga_ls7e_ard_3-1-0_114067_2020-05-08_final
2020-05-08 11:21:22	ga_ls7e_ard_3-1-0_114081_2020-05-08_final
2020-11-22 08:55:16	ga_ls7e_ard_3-1-0_092087_2020-11-21_final
2020-12-02 09:23:38	ga_ls7e_ard_3-1-0_098067_2020-12-01_final
2020-12-04 09:17:55	ga_ls7e_ard_3-1-0_096084_2020-12-03_final
2020-12-21 09:53:54	ga_ls7e_ard_3-1-0_103069_2020-12-21_final
2021-01-05 10:54:28	ga_ls7e_ard_3-1-0_112084_2021-01-05_final
2021-01-17 09:39:04	ga_ls7e_ard_3-1-0_100083_2021-01-17_final
2021-01-28 09:20:31	ga_ls7e_ard_3-2-0_097085_2021-01-27_final
2021-02-11 11:07:08	ga_ls7e_ard_3-2-0_115076_2021-02-11_final
2021-02-27 09:30:14	ga_ls7e_ard_3-2-0_099084_2021-02-27_final
2021-03-07 10:15:51	ga_ls7e_ard_3-2-0_107076_2021-03-07_final
2021-04-01 10:05:17	ga_ls7e_ard_3-2-0_106070_2021-04-01_final
2021-04-09 10:55:39	ga_ls7e_ard_3-2-0_114074_2021-04-09_final
2021-04-12 09:46:37	ga_ls7e_ard_3-2-0_103072_2021-04-12_final
2021-04-12 09:48:37	ga_ls7e_ard_3-2-0_103077_2021-04-12_final
2021-04-15 10:21:40	ga_ls7e_ard_3-2-0_108083_2021-04-15_final
2021-04-19 09:52:37	ga_ls7e_ard_3-2-0_104073_2021-04-19_final
2021-04-25 09:14:14	ga_ls7e_ard_3-2-0_098071_2021-04-24_final
2021-05-19 10:05:15	ga_ls7e_ard_3-2-0_106080_2021-05-19_final
2021-05-26 10:11:13	ga_ls7e_ard_3-2-0_107081_2021-05-26_final
2021-06-05 09:03:47	ga_ls7e_ard_3-2-0_097069_2021-06-04_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-13 08:28:45	ga_ls7e_ard_3-2-0_091082_2021-07-12_final
2021-07-18 10:22:56	ga_ls7e_ard_3-2-0_110075_2021-07-18_final
2021-08-19 08:40:51	ga_ls7e_ard_3-2-0_094074_2021-08-18_final
2021-08-31 09:06:08	ga_ls7e_ard_3-2-0_098078_2021-08-30_final
2021-10-03 08:09:59	ga_ls7e_ard_3-2-0_089084_2021-10-02_final
2021-10-17 09:59:35	ga_ls7e_ard_3-2-0_107083_2021-10-17_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-11-15 09:22:23	ga_ls7e_ard_3-2-1_102074_2021-11-14_final
2021-11-23 08:32:09	ga_ls7e_ard_3-2-1_094074_2021-11-22_final
2021-11-23 10:11:49	ga_ls7e_ard_3-2-1_110076_2021-11-23_final
2021-12-02 10:07:36	ga_ls7e_ard_3-2-1_109083_2021-12-02_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-17 09:22:31	ga_ls7e_ard_3-2-1_102082_2021-12-16_final
2021-12-20 09:49:56	ga_ls7e_ard_3-2-1_107074_2021-12-20_final
2021-12-22 09:36:11	ga_ls7e_ard_3-2-1_105071_2021-12-22_final
2022-01-03 09:59:41	ga_ls7e_ard_3-2-1_109071_2022-01-03_final
2022-01-22 08:52:18	ga_ls7e_ard_3-2-1_098077_2022-01-21_final
2022-01-24 08:40:09	ga_ls7e_ard_3-2-1_096078_2022-01-23_final
2022-02-04 08:24:30	ga_ls7e_ard_3-2-1_093088_2022-02-03_final
2022-02-04 09:57:48	ga_ls7e_ard_3-2-1_109074_2022-02-04_final
2022-02-16 08:40:48	ga_ls7e_ard_3-2-1_097070_2022-02-15_final
2022-02-19 09:10:37	ga_ls7e_ard_3-2-1_102068_2022-02-18_final
2022-03-03 07:59:42	ga_ls7e_ard_3-2-1_090079_2022-03-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years