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
2000-07-30 10:32:25	ga_ls7e_ard_3-1-0_104070_2000-07-30_final
2000-08-31 10:32:07	ga_ls7e_ard_3-1-0_104070_2000-08-31_final
2000-09-10 09:35:19	ga_ls7e_ard_3-1-0_094083_2000-09-10_final
2000-10-02 10:31:40	ga_ls7e_ard_3-1-0_104070_2000-10-02_final
2001-02-07 10:31:37	ga_ls7e_ard_3-1-0_104070_2001-02-07_final
2001-03-11 10:31:33	ga_ls7e_ard_3-1-0_104070_2001-03-11_final
2001-07-04 09:28:36	ga_ls7e_ard_3-1-0_093085_2001-07-03_final
2001-09-03 10:29:52	ga_ls7e_ard_3-1-0_104070_2001-09-03_final
2002-05-01 10:30:04	ga_ls7e_ard_3-1-0_104070_2002-05-01_final
2002-07-20 10:29:32	ga_ls7e_ard_3-1-0_104070_2002-07-20_final
2004-05-15 10:25:50	ga_ls7e_ard_3-1-0_103074_2004-05-15_final
2004-05-15 10:27:50	ga_ls7e_ard_3-1-0_103079_2004-05-15_final
2005-01-11 09:34:00	ga_ls7e_ard_3-1-0_094083_2005-01-11_final
2005-06-26 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-06-26_final
2005-08-29 10:34:03	ga_ls7e_ard_3-1-0_104079_2005-08-29_final
2006-05-12 10:31:18	ga_ls7e_ard_3-1-0_104070_2006-05-12_final
2006-08-26 09:34:15	ga_ls7e_ard_3-1-0_094083_2006-08-26_final
2006-10-29 09:34:19	ga_ls7e_ard_3-1-0_094083_2006-10-29_final
2006-11-20 10:31:13	ga_ls7e_ard_3-1-0_104070_2006-11-20_final
2007-04-07 09:35:08	ga_ls7e_ard_3-1-0_094083_2007-04-07_final
2007-07-06 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-07-06_final
2008-03-01 09:28:38	ga_ls7e_ard_3-1-0_093083_2008-02-29_final
2008-04-03 10:11:02	ga_ls7e_ard_3-1-0_100081_2008-04-03_final
2008-05-17 10:31:12	ga_ls7e_ard_3-1-0_104070_2008-05-17_final
2008-10-24 10:30:03	ga_ls7e_ard_3-1-0_104070_2008-10-24_final
2010-07-10 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-07-10_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2011-11-12 09:38:09	ga_ls7e_ard_3-1-0_094083_2011-11-12_final
2013-02-24 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-02-24_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2014-04-16 10:38:19	ga_ls7e_ard_3-1-0_104070_2014-04-16_final
2014-09-23 10:38:58	ga_ls7e_ard_3-1-0_104070_2014-09-23_final
2014-11-30 10:19:15	ga_ls7e_ard_3-1-0_100081_2014-11-30_final
2015-07-24 10:40:59	ga_ls7e_ard_3-1-0_104070_2015-07-24_final
2015-10-28 10:41:38	ga_ls7e_ard_3-1-0_104070_2015-10-28_final
2016-05-17 09:47:01	ga_ls7e_ard_3-1-0_094083_2016-05-17_final
2016-06-24 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-06-24_final
2016-12-01 10:43:44	ga_ls7e_ard_3-1-0_104070_2016-12-01_final
2017-03-07 10:43:21	ga_ls7e_ard_3-1-0_104070_2017-03-07_final
2017-04-18 09:46:59	ga_ls7e_ard_3-1-0_094083_2017-04-18_final
2017-05-10 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-05-10_final
2017-07-13 10:43:53	ga_ls7e_ard_3-1-0_104070_2017-07-13_final
2019-02-18 10:31:59	ga_ls7e_ard_3-1-0_103078_2019-02-18_final
2019-02-25 10:35:33	ga_ls7e_ard_3-1-0_104072_2019-02-25_final
2019-03-01 10:11:06	ga_ls7e_ard_3-1-0_100073_2019-03-01_final
2019-03-16 09:30:09	ga_ls7e_ard_3-1-0_093080_2019-03-16_final
2019-03-17 10:10:35	ga_ls7e_ard_3-1-0_100073_2019-03-17_final
2019-03-22 10:30:58	ga_ls7e_ard_3-1-0_103078_2019-03-22_final
2019-03-29 10:36:06	ga_ls7e_ard_3-1-0_104076_2019-03-29_final
2019-06-17 10:30:46	ga_ls7e_ard_3-1-0_104070_2019-06-17_final
2019-08-30 09:31:12	ga_ls7e_ard_3-1-0_094083_2019-08-30_final
2019-09-08 09:21:26	ga_ls7e_ard_3-1-0_093075_2019-09-07_final
2019-09-09 10:06:39	ga_ls7e_ard_3-1-0_100080_2019-09-09_final
2019-09-15 09:29:18	ga_ls7e_ard_3-1-0_094080_2019-09-14_final
2019-09-24 09:20:43	ga_ls7e_ard_3-1-0_093075_2019-09-23_final
2019-09-26 10:45:58	ga_ls7e_ard_3-1-0_107072_2019-09-26_final
2019-09-30 10:20:17	ga_ls7e_ard_3-1-0_103070_2019-09-30_final
2019-09-30 10:21:53	ga_ls7e_ard_3-1-0_103074_2019-09-30_final
2019-10-10 09:23:15	ga_ls7e_ard_3-1-0_093083_2019-10-09_final
2019-10-20 09:59:07	ga_ls7e_ard_3-1-0_099081_2019-10-20_final
2019-10-26 09:19:47	ga_ls7e_ard_3-1-0_093076_2019-10-25_final
2019-11-01 10:22:31	ga_ls7e_ard_3-1-0_103079_2019-11-01_final
2019-11-08 10:25:35	ga_ls7e_ard_3-1-0_104072_2019-11-08_final
2019-11-12 10:01:05	ga_ls7e_ard_3-1-0_100073_2019-11-12_final
2019-11-13 10:43:54	ga_ls7e_ard_3-1-0_107072_2019-11-13_final
2019-11-13 10:46:41	ga_ls7e_ard_3-1-0_107079_2019-11-13_final
2019-11-17 10:21:23	ga_ls7e_ard_3-1-0_103078_2019-11-17_final
2019-11-18 09:25:19	ga_ls7e_ard_3-1-0_094077_2019-11-17_final
2019-11-27 09:18:42	ga_ls7e_ard_3-1-0_093077_2019-11-26_final
2019-12-04 09:24:33	ga_ls7e_ard_3-1-0_094077_2019-12-03_final
2019-12-04 09:25:45	ga_ls7e_ard_3-1-0_094080_2019-12-03_final
2019-12-07 09:54:54	ga_ls7e_ard_3-1-0_099076_2019-12-07_final
2019-12-29 09:17:54	ga_ls7e_ard_3-1-0_093079_2019-12-28_final
2019-12-30 10:00:42	ga_ls7e_ard_3-1-0_100078_2019-12-30_final
2020-02-01 10:42:42	ga_ls7e_ard_3-1-0_107079_2020-02-01_final
2020-02-06 09:23:42	ga_ls7e_ard_3-1-0_094083_2020-02-05_final
2020-02-17 10:39:29	ga_ls7e_ard_3-1-0_107073_2020-02-17_final
2020-02-21 10:14:33	ga_ls7e_ard_3-1-0_103073_2020-02-21_final
2020-03-04 10:40:14	ga_ls7e_ard_3-1-0_107077_2020-03-04_final
2020-03-04 10:41:26	ga_ls7e_ard_3-1-0_107080_2020-03-04_final
2020-03-09 09:22:25	ga_ls7e_ard_3-1-0_094084_2020-03-08_final
2020-03-18 09:12:57	ga_ls7e_ard_3-1-0_093077_2020-03-17_final
2020-03-25 09:19:56	ga_ls7e_ard_3-1-0_094080_2020-03-24_final
2020-04-05 10:36:28	ga_ls7e_ard_3-1-0_107072_2020-04-05_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-19 09:11:55	ga_ls7e_ard_3-1-0_093079_2020-04-18_final
2020-04-25 10:10:58	ga_ls7e_ard_3-1-0_103073_2020-04-25_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-20 08:42:51	ga_ls7e_ard_3-2-1_097083_2022-03-19_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_final
2022-03-21 09:23:38	ga_ls7e_ard_3-2-1_104077_2022-03-20_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-27 08:46:47	ga_ls7e_ard_3-2-1_098079_2022-03-26_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-28 09:29:09	ga_ls7e_ard_3-2-1_105077_2022-03-27_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_final
2022-04-04 09:35:27	ga_ls7e_ard_3-2-1_106079_2022-04-04_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