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
2000-02-02 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-02-02_final
2000-09-22 11:35:53	ga_ls7e_ard_3-0-0_114076_2000-09-22_final
2001-05-31 09:41:21	ga_ls7e_ard_3-0-0_095085_2001-05-31_final
2001-09-25 11:33:05	ga_ls7e_ard_3-0-0_114074_2001-09-25_final
2001-10-06 09:35:03	ga_ls7e_ard_3-1-0_095073_2001-10-06_final
2003-01-02 11:34:34	ga_ls7e_ard_3-0-0_114078_2003-01-02_final
2003-01-27 11:30:56	ga_ls7e_ard_3-0-0_113084_2003-01-27_final
2003-02-03 11:33:13	ga_ls7e_ard_3-0-0_114074_2003-02-03_final
2003-03-18 09:40:42	ga_ls7e_ard_3-0-0_095086_2003-03-18_final
2003-11-11 11:29:21	ga_ls7e_ard_3-0-0_113080_2003-11-11_final
2004-02-15 11:31:09	ga_ls7e_ard_3-0-0_113083_2004-02-15_final
2004-04-01 11:40:28	ga_ls7e_ard_3-0-0_115075_2004-04-01_final
2004-04-05 09:40:26	ga_ls7e_ard_3-0-0_095084_2004-04-05_final
2004-12-06 11:34:10	ga_ls7e_ard_3-0-0_114075_2004-12-06_final
2004-12-31 11:31:47	ga_ls7e_ard_3-0-0_113084_2004-12-31_final
2005-03-21 11:30:56	ga_ls7e_ard_3-0-0_113081_2005-03-21_final
2005-03-23 09:40:53	ga_ls7e_ard_3-0-0_095084_2005-03-23_final
2005-09-15 09:39:03	ga_ls7e_ard_3-0-0_095081_2005-09-15_final
2005-12-04 09:39:35	ga_ls7e_ard_3-0-0_095081_2005-12-04_final
2006-02-06 09:39:37	ga_ls7e_ard_3-0-0_095080_2006-02-06_final
2006-04-16 11:35:02	ga_ls7e_ard_3-0-0_114075_2006-04-16_final
2006-06-03 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-06-03_final
2006-06-12 11:30:51	ga_ls7e_ard_3-0-0_113080_2006-06-12_final
2007-01-08 09:37:25	ga_ls7e_ard_3-0-0_095074_2007-01-08_final
2007-02-07 11:31:37	ga_ls7e_ard_3-0-0_113081_2007-02-07_final
2007-04-12 11:31:21	ga_ls7e_ard_3-0-0_113080_2007-04-12_final
2007-04-30 09:40:51	ga_ls7e_ard_3-0-0_095082_2007-04-30_final
2008-02-08 11:41:55	ga_ls7e_ard_3-0-0_115076_2008-02-08_final
2008-04-12 11:41:44	ga_ls7e_ard_3-0-0_115076_2008-04-12_final
2008-11-26 09:33:42	ga_ls7e_ard_3-0-0_095067_2008-11-26_final
2008-12-01 11:33:58	ga_ls7e_ard_3-0-0_114074_2008-12-01_final
2009-02-26 11:41:37	ga_ls7e_ard_3-0-0_115076_2009-02-26_final
2009-03-14 11:40:57	ga_ls7e_ard_3-0-0_115074_2009-03-14_final
2009-06-02 11:43:15	ga_ls7e_ard_3-0-0_115079_2009-06-02_final
2009-08-30 11:36:24	ga_ls7e_ard_3-0-0_114078_2009-08-30_final
2009-09-15 11:34:47	ga_ls7e_ard_3-0-0_114074_2009-09-15_final
2010-01-05 11:36:23	ga_ls7e_ard_3-0-0_114075_2010-01-05_final
2010-03-05 09:40:52	ga_ls7e_ard_3-0-0_095078_2010-03-05_final
2010-09-02 11:38:30	ga_ls7e_ard_3-0-0_114078_2010-09-02_final
2010-09-09 11:43:30	ga_ls7e_ard_3-0-0_115075_2010-09-09_final
2011-01-19 09:44:31	ga_ls7e_ard_3-0-0_095084_2011-01-19_final
2011-10-14 11:44:51	ga_ls7e_ard_3-0-0_115076_2011-10-14_final
2011-12-26 11:40:10	ga_ls7e_ard_3-0-0_114078_2011-12-26_final
2012-08-17 09:45:33	ga_ls7e_ard_3-0-0_095082_2012-08-17_final
2012-09-02 09:46:06	ga_ls7e_ard_3-0-0_095083_2012-09-02_final
2012-11-05 09:43:02	ga_ls7e_ard_3-0-0_095074_2012-11-05_final
2013-01-13 11:41:58	ga_ls7e_ard_3-0-0_114077_2013-01-13_final
2013-02-07 11:36:39	ga_ls7e_ard_3-0-0_113079_2013-02-07_final
2013-07-31 11:46:27	ga_ls7e_ard_3-0-0_115075_2013-07-31_final
2014-06-09 11:39:15	ga_ls7e_ard_3-0-0_114067_2014-06-09_final
2014-10-08 11:40:22	ga_ls7e_ard_3-0-0_113084_2014-10-08_final
2015-02-27 11:50:51	ga_ls7e_ard_3-1-0_115077_2015-02-27_final
2015-04-20 09:49:37	ga_ls7e_ard_3-0-0_095082_2015-04-20_final
2015-07-14 11:46:45	ga_ls7e_ard_3-0-0_114080_2015-07-14_final
2016-05-29 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-05-29_final
2016-07-16 11:49:11	ga_ls7e_ard_3-0-0_114079_2016-07-16_final
2016-12-23 11:49:24	ga_ls7e_ard_3-0-0_114080_2016-12-23_final
2017-02-25 11:47:04	ga_ls7e_ard_3-0-0_114075_2017-02-25_final
2017-03-08 09:54:31	ga_ls7e_ard_3-0-0_095087_2017-03-08_final
2017-04-09 09:52:41	ga_ls7e_ard_3-0-0_095082_2017-04-09_final
2017-08-04 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-08-04_final
2017-11-24 11:47:34	ga_ls7e_ard_3-0-0_114075_2017-11-24_final
2018-01-18 11:53:32	ga_ls7e_ard_3-0-0_115076_2018-01-18_final
2018-06-29 11:41:52	ga_ls7e_ard_3-0-0_113084_2018-06-29_final
2018-07-13 11:50:46	ga_ls7e_ard_3-0-0_115076_2018-07-13_final
2018-11-06 09:43:55	ga_ls7e_ard_3-0-0_095074_2018-11-06_final
2019-03-30 09:41:15	ga_ls7e_ard_3-0-0_095078_2019-03-30_final
2019-05-01 09:42:29	ga_ls7e_ard_3-0-0_095084_2019-05-01_final
2019-07-02 11:30:37	ga_ls7e_ard_3-0-0_113082_2019-07-02_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final
2020-04-15 11:16:57	ga_ls7e_ard_3-1-0_113082_2020-04-15_final
2021-02-09 09:42:46	ga_ls7e_ard_3-2-0_101081_2021-02-09_final
2021-02-14 09:59:44	ga_ls7e_ard_3-2-0_104078_2021-02-14_final
2021-03-07 10:13:52	ga_ls7e_ard_3-2-0_107071_2021-03-07_final
2021-03-08 11:00:14	ga_ls7e_ard_3-2-0_114079_2021-03-08_final
2021-03-08 11:00:38	ga_ls7e_ard_3-2-0_114080_2021-03-08_final
2021-03-30 08:41:19	ga_ls7e_ard_3-2-0_092076_2021-03-29_final
2021-04-11 09:03:51	ga_ls7e_ard_3-2-0_096073_2021-04-10_final
2021-04-13 10:34:11	ga_ls7e_ard_3-2-0_110083_2021-04-13_final
2021-06-11 10:08:18	ga_ls7e_ard_3-2-0_107077_2021-06-11_final
2021-07-07 10:44:01	ga_ls7e_ard_3-2-0_113079_2021-07-07_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-07-14 10:48:48	ga_ls7e_ard_3-2-0_114077_2021-07-14_final
2021-09-07 09:10:54	ga_ls7e_ard_3-2-0_099076_2021-09-06_final
2021-09-08 08:18:47	ga_ls7e_ard_3-2-0_090085_2021-09-07_final
2021-09-13 10:14:34	ga_ls7e_ard_3-2-0_109082_2021-09-13_final
2021-10-17 08:20:43	ga_ls7e_ard_3-2-0_091083_2021-10-16_final
2021-10-25 09:09:01	ga_ls7e_ard_3-2-0_099082_2021-10-24_final
2021-11-19 09:00:03	ga_ls7e_ard_3-2-1_098081_2021-11-18_final
2021-11-21 10:23:59	ga_ls7e_ard_3-2-1_112075_2021-11-21_final
2021-12-14 08:48:19	ga_ls7e_ard_3-2-1_097073_2021-12-13_final
2021-12-14 08:49:55	ga_ls7e_ard_3-2-1_097077_2021-12-13_final
2021-12-16 08:38:33	ga_ls7e_ard_3-2-1_095080_2021-12-15_final
2021-12-25 10:06:47	ga_ls7e_ard_3-2-1_110071_2021-12-25_final
2021-12-30 08:50:20	ga_ls7e_ard_3-2-1_097082_2021-12-29_final
2022-01-08 10:22:08	ga_ls7e_ard_3-2-1_112082_2022-01-08_final
2022-01-21 09:49:13	ga_ls7e_ard_3-2-1_107080_2022-01-21_final
2022-02-23 08:52:18	ga_ls7e_ard_3-2-1_098085_2022-02-22_final
2022-03-06 10:11:10	ga_ls7e_ard_3-2-1_111084_2022-03-06_final
2022-03-19 07:58:06	ga_ls7e_ard_3-2-1_090079_2022-03-18_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