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
2000-01-01 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-01_final
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2000-08-12 11:42:17	ga_ls7e_ard_3-0-0_115075_2000-08-12_final
2001-07-14 11:41:45	ga_ls7e_ard_3-0-0_115078_2001-07-14_final
2001-08-31 11:41:06	ga_ls7e_ard_3-0-0_115078_2001-08-31_final
2001-10-02 11:40:42	ga_ls7e_ard_3-0-0_115078_2001-10-02_final
2001-11-03 11:39:33	ga_ls7e_ard_3-0-0_115075_2001-11-03_final
2003-01-09 11:39:32	ga_ls7e_ard_3-0-0_115075_2003-01-09_final
2003-03-30 11:39:54	ga_ls7e_ard_3-0-0_115075_2003-03-30_final
2003-08-05 11:40:23	ga_ls7e_ard_3-1-0_115077_2003-08-05_final
2003-11-25 11:40:40	ga_ls7e_ard_3-0-0_115077_2003-11-25_final
2003-12-11 11:40:21	ga_ls7e_ard_3-0-0_115076_2003-12-11_final
2004-03-25 11:33:54	ga_ls7e_ard_3-0-0_114074_2004-03-25_final
2004-10-12 11:29:23	ga_ls7e_ard_3-0-0_113080_2004-10-12_final
2004-11-29 11:28:44	ga_ls7e_ard_3-0-0_113077_2004-11-29_final
2004-11-29 11:31:32	ga_ls7e_ard_3-0-0_113084_2004-11-29_final
2005-04-04 11:42:03	ga_ls7e_ard_3-0-0_115078_2005-04-04_final
2005-07-25 11:41:25	ga_ls7e_ard_3-0-0_115077_2005-07-25_final
2005-09-27 11:39:53	ga_ls7e_ard_3-0-0_115074_2005-09-27_final
2005-10-13 11:41:05	ga_ls7e_ard_3-0-0_115077_2005-10-13_final
2005-10-22 11:36:38	ga_ls7e_ard_3-0-0_114081_2005-10-22_final
2006-01-17 11:41:54	ga_ls7e_ard_3-1-0_115077_2006-01-17_final
2006-01-17 11:42:18	ga_ls7e_ard_3-0-0_115078_2006-01-17_final
2006-11-17 11:40:45	ga_ls7e_ard_3-0-0_115074_2006-11-17_final
2007-11-04 11:41:13	ga_ls7e_ard_3-0-0_115075_2007-11-04_final
2008-10-21 11:39:35	ga_ls7e_ard_3-0-0_115074_2008-10-21_final
2009-02-10 11:41:27	ga_ls7e_ard_3-0-0_115076_2009-02-10_final
2010-11-12 11:44:17	ga_ls7e_ard_3-0-0_115076_2010-11-12_final
2010-11-28 11:44:53	ga_ls7e_ard_3-1-0_115077_2010-11-28_final
2010-12-14 11:45:25	ga_ls7e_ard_3-0-0_115078_2010-12-14_final
2011-12-17 11:44:38	ga_ls7e_ard_3-0-0_115074_2011-12-17_final
2012-12-05 11:35:37	ga_ls7e_ard_3-0-0_113077_2012-12-05_final
2013-04-10 11:48:26	ga_ls7e_ard_3-0-0_115078_2013-04-10_final
2014-08-28 11:45:02	ga_ls7e_ard_3-0-0_114081_2014-08-28_final
2014-10-06 11:50:19	ga_ls7e_ard_3-0-0_115078_2014-10-06_final
2014-11-23 11:49:29	ga_ls7e_ard_3-0-0_115075_2014-11-23_final
2015-11-26 11:53:16	ga_ls7e_ard_3-0-0_115078_2015-11-26_final
2016-05-20 11:53:37	ga_ls7e_ard_3-0-0_115075_2016-05-20_final
2017-05-16 11:44:19	ga_ls7e_ard_3-0-0_114067_2017-05-16_final
2017-09-12 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-09-12_final
2017-10-14 11:53:26	ga_ls7e_ard_3-0-0_115074_2017-10-14_final
2018-09-08 11:43:54	ga_ls7e_ard_3-0-0_114077_2018-09-08_final
2018-11-18 11:48:50	ga_ls7e_ard_3-0-0_115078_2018-11-18_final
2019-11-21 11:35:21	ga_ls7e_ard_3-1-0_115078_2019-11-21_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2019-12-07 11:34:59	ga_ls7e_ard_3-1-0_115079_2019-12-07_final
2020-08-19 11:18:53	ga_ls7e_ard_3-1-0_115075_2020-08-19_final
2020-11-23 09:31:40	ga_ls7e_ard_3-1-0_099070_2020-11-23_final
2020-11-27 10:44:20	ga_ls7e_ard_3-1-0_111067_2020-11-27_final
2020-11-29 08:56:09	ga_ls7e_ard_3-1-0_093075_2020-11-28_final
2020-12-04 10:52:48	ga_ls7e_ard_3-1-0_112074_2020-12-04_final
2020-12-13 10:45:33	ga_ls7e_ard_3-1-0_111073_2020-12-13_final
2020-12-20 09:11:55	ga_ls7e_ard_3-1-0_096072_2020-12-19_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_final
2021-01-04 10:07:17	ga_ls7e_ard_3-1-0_105074_2021-01-04_final
2021-01-12 09:15:41	ga_ls7e_ard_3-1-0_097070_2021-01-11_final
2021-01-18 10:22:39	ga_ls7e_ard_3-1-0_107084_2021-01-18_final
2021-01-22 09:52:51	ga_ls7e_ard_3-2-0_103072_2021-01-22_final
2021-02-04 09:23:24	ga_ls7e_ard_3-2-0_098078_2021-02-03_final
2021-02-12 10:08:39	ga_ls7e_ard_3-2-0_106069_2021-02-12_final
2021-02-15 09:01:38	ga_ls7e_ard_3-2-0_095072_2021-02-14_final
2021-02-17 10:29:12	ga_ls7e_ard_3-2-0_109075_2021-02-17_final
2021-03-13 09:40:42	ga_ls7e_ard_3-2-0_101082_2021-03-13_final
2021-04-01 10:06:28	ga_ls7e_ard_3-2-0_106073_2021-04-01_final
2021-04-07 09:28:06	ga_ls7e_ard_3-2-0_100071_2021-04-06_final
2021-04-10 09:57:33	ga_ls7e_ard_3-2-0_105068_2021-04-10_final
2021-04-10 09:59:57	ga_ls7e_ard_3-2-0_105074_2021-04-10_final
2021-04-26 08:21:19	ga_ls7e_ard_3-2-0_089078_2021-04-25_final
2021-05-08 08:48:38	ga_ls7e_ard_3-2-0_093087_2021-05-07_final
2021-05-17 08:41:17	ga_ls7e_ard_3-2-0_092086_2021-05-16_final
2021-05-18 09:18:29	ga_ls7e_ard_3-2-0_099071_2021-05-17_final
2021-05-18 10:58:57	ga_ls7e_ard_3-2-0_115075_2021-05-18_final
2021-06-03 09:17:06	ga_ls7e_ard_3-2-0_099071_2021-06-02_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-07-05 09:13:17	ga_ls7e_ard_3-2-0_099068_2021-07-04_final
2021-07-10 09:33:23	ga_ls7e_ard_3-2-0_102073_2021-07-10_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-08-22 09:09:30	ga_ls7e_ard_3-2-0_099069_2021-08-21_final
2021-10-01 08:23:19	ga_ls7e_ard_3-2-0_091086_2021-09-30_final
2021-10-09 09:06:04	ga_ls7e_ard_3-2-0_099071_2021-10-08_final
2021-11-06 09:27:02	ga_ls7e_ard_3-2-0_103068_2021-11-05_final
2021-11-10 09:01:32	ga_ls7e_ard_3-2-0_099067_2021-11-09_final
2021-11-17 09:13:25	ga_ls7e_ard_3-2-1_100083_2021-11-16_final
2021-11-25 08:25:35	ga_ls7e_ard_3-2-1_092089_2021-11-24_final
2021-12-04 08:13:47	ga_ls7e_ard_3-2-1_091077_2021-12-03_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-17 09:22:07	ga_ls7e_ard_3-2-1_102081_2021-12-16_final
2021-12-18 08:24:01	ga_ls7e_ard_3-2-1_093075_2021-12-17_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2021-12-29 09:42:04	ga_ls7e_ard_3-2-1_106072_2021-12-29_final
2022-01-11 09:11:53	ga_ls7e_ard_3-2-1_101077_2022-01-10_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-23 09:34:40	ga_ls7e_ard_3-2-1_105075_2022-01-23_final
2022-02-03 09:17:26	ga_ls7e_ard_3-2-1_102081_2022-02-02_final
2022-02-17 09:23:34	ga_ls7e_ard_3-2-1_104069_2022-02-16_final
2022-03-02 08:55:01	ga_ls7e_ard_3-2-1_099078_2022-03-01_final
2022-03-12 09:29:30	ga_ls7e_ard_3-2-1_105074_2022-03-11_final
2022-03-18 08:55:48	ga_ls7e_ard_3-2-1_099084_2022-03-17_final
2022-03-22 08:25:55	ga_ls7e_ard_3-2-1_095072_2022-03-21_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