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
2000-01-21 09:37:12	ga_ls7e_ard_3-0-0_095067_2000-01-21_final
2000-05-08 11:43:46	ga_ls7e_ard_3-0-0_115076_2000-05-08_final
2000-05-12 09:43:43	ga_ls7e_ard_3-0-0_095085_2000-05-12_final
2000-12-11 11:37:00	ga_ls7e_ard_3-0-0_114079_2000-12-11_final
2001-02-08 09:37:36	ga_ls7e_ard_3-0-0_095074_2001-02-08_final
2001-02-08 09:42:23	ga_ls7e_ard_3-0-0_095086_2001-02-08_final
2001-07-18 09:33:44	ga_ls7e_ard_3-0-0_095067_2001-07-18_final
2001-12-05 11:40:28	ga_ls7e_ard_3-1-0_115077_2001-12-05_final
2002-09-07 09:35:11	ga_ls7e_ard_3-0-0_095074_2002-09-07_final
2003-04-03 09:35:56	ga_ls7e_ard_3-0-0_095074_2003-04-03_final
2003-08-05 11:41:11	ga_ls7e_ard_3-0-0_115079_2003-08-05_final
2003-12-31 09:39:42	ga_ls7e_ard_3-0-0_095083_2003-12-31_final
2004-06-08 09:36:17	ga_ls7e_ard_3-0-0_095074_2004-06-08_final
2005-08-26 11:41:15	ga_ls7e_ard_3-1-0_115077_2005-08-26_final
2006-09-18 09:40:19	ga_ls7e_ard_3-0-0_095083_2006-09-18_final
2006-11-05 09:40:36	ga_ls7e_ard_3-0-0_095083_2006-11-05_final
2007-07-08 11:36:27	ga_ls7e_ard_3-0-0_114078_2007-07-08_final
2008-01-27 09:40:20	ga_ls7e_ard_3-0-0_095081_2008-01-27_final
2008-03-04 11:35:36	ga_ls7e_ard_3-0-0_114076_2008-03-04_final
2008-07-10 11:36:53	ga_ls7e_ard_3-0-0_114081_2008-07-10_final
2009-01-25 11:41:45	ga_ls7e_ard_3-0-0_115077_2009-01-25_final
2009-07-24 09:41:28	ga_ls7e_ard_3-0-0_095084_2009-07-24_final
2009-10-01 11:35:09	ga_ls7e_ard_3-0-0_114075_2009-10-01_final
2010-05-29 11:38:21	ga_ls7e_ard_3-0-0_114078_2010-05-29_final
2011-05-27 09:40:48	ga_ls7e_ard_3-0-0_095074_2011-05-27_final
2011-07-14 09:44:19	ga_ls7e_ard_3-0-0_095083_2011-07-14_final
2012-09-07 11:42:48	ga_ls7e_ard_3-0-0_114081_2012-09-07_final
2012-12-12 11:41:29	ga_ls7e_ard_3-0-0_114076_2012-12-12_final
2013-10-28 11:43:05	ga_ls7e_ard_3-0-0_114080_2013-10-28_final
2014-04-01 09:47:46	ga_ls7e_ard_3-0-0_095083_2014-04-01_final
2014-09-08 09:44:51	ga_ls7e_ard_3-0-0_095074_2014-09-08_final
2015-09-11 09:46:42	ga_ls7e_ard_3-1-0_095073_2015-09-11_final
2015-10-13 09:48:09	ga_ls7e_ard_3-0-0_095076_2015-10-13_final
2015-11-19 11:46:12	ga_ls7e_ard_3-0-0_114076_2015-11-19_final
2015-11-19 11:47:24	ga_ls7e_ard_3-0-0_114079_2015-11-19_final
2016-03-10 11:47:53	ga_ls7e_ard_3-0-0_114077_2016-03-10_final
2016-08-17 11:49:14	ga_ls7e_ard_3-0-0_114079_2016-08-17_final
2016-10-15 09:54:20	ga_ls7e_ard_3-0-0_095085_2016-10-15_final
2016-10-31 09:52:40	ga_ls7e_ard_3-0-0_095081_2016-10-31_final
2016-11-28 11:54:31	ga_ls7e_ard_3-1-0_115077_2016-11-28_final
2017-02-04 09:52:47	ga_ls7e_ard_3-0-0_095083_2017-02-04_final
2017-04-30 11:48:39	ga_ls7e_ard_3-0-0_114078_2017-04-30_final
2017-05-11 09:54:04	ga_ls7e_ard_3-0-0_095085_2017-05-11_final
2017-06-08 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-06-08_final
2017-09-21 11:49:12	ga_ls7e_ard_3-0-0_114079_2017-09-21_final
2018-01-22 09:53:51	ga_ls7e_ard_3-0-0_095086_2018-01-22_final
2018-07-22 11:44:02	ga_ls7e_ard_3-0-0_114075_2018-07-22_final
2018-09-03 09:49:47	ga_ls7e_ard_3-0-0_095085_2018-09-03_final
2019-03-14 09:44:35	ga_ls7e_ard_3-1-0_095085_2019-03-14_final
2019-08-21 09:34:34	ga_ls7e_ard_3-0-0_095075_2019-08-21_final
2020-01-24 11:31:45	ga_ls7e_ard_3-1-0_115077_2020-01-24_final
2020-02-18 11:23:54	ga_ls7e_ard_3-1-0_114076_2020-02-18_final
2020-09-08 09:13:35	ga_ls7e_ard_3-1-0_095074_2020-09-07_final
2020-09-20 11:17:11	ga_ls7e_ard_3-1-0_115076_2020-09-20_final
2020-12-13 09:10:16	ga_ls7e_ard_3-1-0_095082_2020-12-12_final
2021-02-24 08:58:46	ga_ls7e_ard_3-2-0_094082_2021-02-23_final
2021-02-28 10:11:25	ga_ls7e_ard_3-2-0_106079_2021-02-28_final
2021-03-01 09:15:20	ga_ls7e_ard_3-2-0_097078_2021-02-28_final
2021-03-14 08:46:12	ga_ls7e_ard_3-2-0_092085_2021-03-13_final
2021-03-23 10:16:35	ga_ls7e_ard_3-2-0_107081_2021-03-23_final
2021-03-30 10:18:36	ga_ls7e_ard_3-2-0_108072_2021-03-30_final
2021-04-06 08:50:55	ga_ls7e_ard_3-2-0_093086_2021-04-05_final
2021-04-22 10:23:16	ga_ls7e_ard_3-2-0_109073_2021-04-22_final
2021-04-29 08:50:46	ga_ls7e_ard_3-2-0_094075_2021-04-28_final
2021-05-09 09:26:37	ga_ls7e_ard_3-2-0_100074_2021-05-08_final
2021-05-17 10:18:34	ga_ls7e_ard_3-2-0_108082_2021-05-17_final
2021-05-19 10:04:03	ga_ls7e_ard_3-2-0_106077_2021-05-19_final
2021-05-26 10:10:49	ga_ls7e_ard_3-2-0_107080_2021-05-26_final
2021-05-30 09:41:46	ga_ls7e_ard_3-2-0_103070_2021-05-30_final
2021-05-31 08:50:27	ga_ls7e_ard_3-2-0_094081_2021-05-30_final
2021-06-05 09:05:47	ga_ls7e_ard_3-2-0_097074_2021-06-04_final
2021-07-08 09:48:19	ga_ls7e_ard_3-2-0_104079_2021-07-08_final
2021-07-17 09:39:22	ga_ls7e_ard_3-2-0_103074_2021-07-17_final
2021-08-22 09:15:05	ga_ls7e_ard_3-2-0_099083_2021-08-21_final
2021-08-24 08:57:46	ga_ls7e_ard_3-2-0_097071_2021-08-23_final
2021-08-31 09:06:56	ga_ls7e_ard_3-2-0_098080_2021-08-30_final
2021-09-19 09:33:46	ga_ls7e_ard_3-2-0_103074_2021-09-19_final
2021-09-22 08:27:54	ga_ls7e_ard_3-2-0_092080_2021-09-21_final
2021-09-22 10:03:59	ga_ls7e_ard_3-2-0_108073_2021-09-22_final
2021-10-04 08:52:22	ga_ls7e_ard_3-2-0_096082_2021-10-03_final
2021-10-05 09:31:08	ga_ls7e_ard_3-2-0_103071_2021-10-05_final
2021-10-05 09:35:32	ga_ls7e_ard_3-2-0_103082_2021-10-05_final
2021-10-09 10:48:08	ga_ls7e_ard_3-2-0_115079_2021-10-09_final
2021-10-15 08:30:51	ga_ls7e_ard_3-2-0_093077_2021-10-14_final
2021-10-17 09:58:47	ga_ls7e_ard_3-2-0_107081_2021-10-17_final
2021-10-18 10:41:10	ga_ls7e_ard_3-2-0_114079_2021-10-18_final
2021-10-21 09:34:06	ga_ls7e_ard_3-2-0_103082_2021-10-21_final
2021-10-22 08:36:00	ga_ls7e_ard_3-2-0_094076_2021-10-21_final
2021-10-30 09:25:54	ga_ls7e_ard_3-2-0_102079_2021-10-29_final
2021-11-10 09:03:55	ga_ls7e_ard_3-2-0_099073_2021-11-09_final
2021-11-14 10:20:53	ga_ls7e_ard_3-2-1_111081_2021-11-14_final
2021-11-16 08:30:15	ga_ls7e_ard_3-2-1_093083_2021-11-15_final
2021-11-28 08:53:25	ga_ls7e_ard_3-2-1_097082_2021-11-27_final
2021-12-08 09:27:58	ga_ls7e_ard_3-2-1_103078_2021-12-07_final
2021-12-25 10:11:34	ga_ls7e_ard_3-2-1_110083_2021-12-25_final
2022-01-04 09:04:46	ga_ls7e_ard_3-2-1_100073_2022-01-03_final
2022-01-10 08:30:43	ga_ls7e_ard_3-2-1_094082_2022-01-09_final
2022-02-16 08:42:23	ga_ls7e_ard_3-2-1_097074_2022-02-15_final
2022-02-23 10:28:23	ga_ls7e_ard_3-2-1_114078_2022-02-23_final
2022-03-18 08:51:25	ga_ls7e_ard_3-2-1_099073_2022-03-17_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