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
2000-04-13 11:50:54	ga_ls7e_ard_3-0-0_116078_2000-04-13_final
2000-09-06 11:36:59	ga_ls7e_ard_3-0-0_114078_2000-09-06_final
2000-12-02 11:41:58	ga_ls7e_ard_3-0-0_115076_2000-12-02_final
2000-12-18 11:42:01	ga_ls7e_ard_3-0-0_115076_2000-12-18_final
2001-01-12 11:35:06	ga_ls7e_ard_3-0-0_114074_2001-01-12_final
2001-07-02 09:40:57	ga_ls7e_ard_3-0-0_095085_2001-07-02_final
2001-11-07 09:36:00	ga_ls7e_ard_3-0-0_095075_2001-11-07_final
2002-01-31 11:33:25	ga_ls7e_ard_3-0-0_114074_2002-01-31_final
2002-02-27 09:40:33	ga_ls7e_ard_3-0-0_095085_2002-02-27_final
2002-04-05 11:35:24	ga_ls7e_ard_3-0-0_114079_2002-04-05_final
2002-09-23 09:34:58	ga_ls7e_ard_3-0-0_095074_2002-09-23_final
2002-11-15 11:34:34	ga_ls7e_ard_3-0-0_114079_2002-11-15_final
2002-11-26 09:38:11	ga_ls7e_ard_3-0-0_095081_2002-11-26_final
2003-02-14 09:40:40	ga_ls7e_ard_3-0-0_095086_2003-02-14_final
2003-03-30 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-03-30_final
2003-10-24 11:39:09	ga_ls7e_ard_3-0-0_115074_2003-10-24_final
2003-12-15 09:40:46	ga_ls7e_ard_3-0-0_095086_2003-12-15_final
2004-02-17 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-02-17_final
2004-04-26 11:34:10	ga_ls7e_ard_3-0-0_114075_2004-04-26_final
2004-08-11 09:35:36	ga_ls7e_ard_3-1-0_095073_2004-08-11_final
2004-10-14 09:38:58	ga_ls7e_ard_3-0-0_095082_2004-10-14_final
2004-10-30 09:40:02	ga_ls7e_ard_3-0-0_095084_2004-10-30_final
2005-01-18 09:39:00	ga_ls7e_ard_3-0-0_095080_2005-01-18_final
2005-12-16 11:41:37	ga_ls7e_ard_3-0-0_115077_2005-12-16_final
2006-10-25 11:36:16	ga_ls7e_ard_3-0-0_114079_2006-10-25_final
2006-11-05 09:39:48	ga_ls7e_ard_3-0-0_095081_2006-11-05_final
2007-01-29 11:36:32	ga_ls7e_ard_3-0-0_114078_2007-01-29_final
2007-04-10 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-04-10_final
2007-07-03 09:41:26	ga_ls7e_ard_3-0-0_095084_2007-07-03_final
2007-09-26 11:35:35	ga_ls7e_ard_3-0-0_114077_2007-09-26_final
2007-12-26 09:41:32	ga_ls7e_ard_3-0-0_095084_2007-12-26_final
2008-01-11 09:40:21	ga_ls7e_ard_3-0-0_095081_2008-01-11_final
2008-08-06 09:40:01	ga_ls7e_ard_3-0-0_095083_2008-08-06_final
2008-12-24 11:40:46	ga_ls7e_ard_3-0-0_115075_2008-12-24_final
2009-03-18 09:42:10	ga_ls7e_ard_3-0-0_095086_2009-03-18_final
2009-04-03 09:39:52	ga_ls7e_ard_3-0-0_095080_2009-04-03_final
2009-08-14 11:36:47	ga_ls7e_ard_3-0-0_114079_2009-08-14_final
2010-02-06 11:38:26	ga_ls7e_ard_3-0-0_114079_2010-02-06_final
2010-08-17 11:38:51	ga_ls7e_ard_3-0-0_114079_2010-08-17_final
2010-10-20 11:37:27	ga_ls7e_ard_3-0-0_114075_2010-10-20_final
2011-04-23 11:36:02	ga_ls7e_ard_3-0-0_113084_2011-04-23_final
2011-11-03 09:40:35	ga_ls7e_ard_3-0-0_095074_2011-11-03_final
2012-04-07 11:44:53	ga_ls7e_ard_3-0-0_115074_2012-04-07_final
2012-04-27 09:44:20	ga_ls7e_ard_3-0-0_095081_2012-04-27_final
2012-08-22 11:37:02	ga_ls7e_ard_3-0-0_114067_2012-08-22_final
2012-10-20 09:46:11	ga_ls7e_ard_3-0-0_095082_2012-10-20_final
2013-02-07 11:37:51	ga_ls7e_ard_3-0-0_113082_2013-02-07_final
2015-01-14 09:45:46	ga_ls7e_ard_3-0-0_095074_2015-01-14_final
2015-02-04 11:45:19	ga_ls7e_ard_3-0-0_114079_2015-02-04_final
2015-03-03 09:49:40	ga_ls7e_ard_3-0-0_095083_2015-03-03_final
2016-02-07 11:47:40	ga_ls7e_ard_3-0-0_114077_2016-02-07_final
2016-02-18 09:52:40	ga_ls7e_ard_3-0-0_095083_2016-02-18_final
2016-04-20 11:43:33	ga_ls7e_ard_3-0-0_113081_2016-04-20_final
2016-05-13 11:49:25	ga_ls7e_ard_3-0-0_114080_2016-05-13_final
2016-05-24 09:50:03	ga_ls7e_ard_3-0-0_095075_2016-05-24_final
2016-10-31 09:49:52	ga_ls7e_ard_3-0-0_095074_2016-10-31_final
2017-01-17 11:43:46	ga_ls7e_ard_3-0-0_113082_2017-01-17_final
2017-10-18 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-10-18_final
2017-12-21 09:49:30	ga_ls7e_ard_3-0-0_095074_2017-12-21_final
2017-12-21 09:51:06	ga_ls7e_ard_3-0-0_095078_2017-12-21_final
2018-01-27 11:48:00	ga_ls7e_ard_3-0-0_114078_2018-01-27_final
2018-07-17 09:49:53	ga_ls7e_ard_3-0-0_095083_2018-07-17_final
2018-11-18 11:48:26	ga_ls7e_ard_3-0-0_115077_2018-11-18_final
2019-04-20 11:37:55	ga_ls7e_ard_3-0-0_114078_2019-04-20_final
2019-07-02 11:28:37	ga_ls7e_ard_3-0-0_113077_2019-07-02_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2020-06-02 11:12:52	ga_ls7e_ard_3-1-0_113079_2020-06-02_final
2020-07-11 11:15:09	ga_ls7e_ard_3-1-0_114075_2020-07-11_final
2020-08-23 09:14:14	ga_ls7e_ard_3-1-0_095073_2020-08-22_final
2021-02-15 10:42:07	ga_ls7e_ard_3-2-0_111076_2021-02-15_final
2021-02-19 10:18:17	ga_ls7e_ard_3-2-0_107079_2021-02-19_final
2021-03-03 09:03:36	ga_ls7e_ard_3-2-0_095080_2021-03-02_final
2021-03-12 10:36:00	ga_ls7e_ard_3-2-0_110081_2021-03-12_final
2021-03-28 10:33:07	ga_ls7e_ard_3-2-0_110077_2021-03-28_final
2021-04-02 10:52:27	ga_ls7e_ard_3-2-0_113080_2021-04-02_final
2021-05-03 08:29:18	ga_ls7e_ard_3-2-0_090084_2021-05-02_final
2021-05-11 10:54:58	ga_ls7e_ard_3-2-0_114079_2021-05-11_final
2021-06-07 08:56:03	ga_ls7e_ard_3-2-0_095081_2021-06-06_final
2021-08-02 09:36:23	ga_ls7e_ard_3-2-0_103070_2021-08-02_final
2021-08-03 10:19:57	ga_ls7e_ard_3-2-0_110071_2021-08-03_final
2021-08-19 10:18:32	ga_ls7e_ard_3-2-0_110071_2021-08-19_final
2021-08-19 10:19:19	ga_ls7e_ard_3-2-0_110073_2021-08-19_final
2021-09-02 10:33:40	ga_ls7e_ard_3-2-0_112081_2021-09-02_final
2021-09-14 09:16:04	ga_ls7e_ard_3-2-0_100075_2021-09-13_final
2021-09-15 09:59:38	ga_ls7e_ard_3-2-0_107076_2021-09-15_final
2021-09-25 08:54:57	ga_ls7e_ard_3-2-0_097071_2021-09-24_final
2021-09-27 08:43:36	ga_ls7e_ard_3-2-0_095074_2021-09-26_final
2021-10-05 09:30:45	ga_ls7e_ard_3-2-0_103070_2021-10-05_final
2021-10-15 10:07:44	ga_ls7e_ard_3-2-0_109072_2021-10-15_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-14 08:38:49	ga_ls7e_ard_3-2-1_095073_2021-11-13_final
2021-12-07 10:22:29	ga_ls7e_ard_3-2-1_112075_2021-12-07_final
2021-12-22 09:36:35	ga_ls7e_ard_3-2-1_105072_2021-12-22_final
2022-01-20 09:06:03	ga_ls7e_ard_3-2-1_100080_2022-01-19_final
2022-01-28 09:54:42	ga_ls7e_ard_3-2-1_108080_2022-01-28_final
2022-02-02 10:13:33	ga_ls7e_ard_3-2-1_111082_2022-02-02_final
2022-02-11 08:28:22	ga_ls7e_ard_3-2-1_094084_2022-02-10_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-03-11 10:27:13	ga_ls7e_ard_3-2-1_114079_2022-03-11_final
2022-03-13 08:35:47	ga_ls7e_ard_3-2-1_096079_2022-03-12_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