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
1999-08-30 09:39:45	ga_ls7e_ard_3-1-0_095073_1999-08-30_final
2000-05-01 11:38:07	ga_ls7e_ard_3-0-0_114077_2000-05-01_final
2001-09-19 08:55:34	ga_ls7e_ard_3-0-0_088082_2001-09-18_final
2001-12-30 11:35:14	ga_ls7e_ard_3-0-0_114079_2001-12-30_final
2002-01-26 09:36:27	ga_ls7e_ard_3-0-0_095075_2002-01-26_final
2002-07-26 11:34:04	ga_ls7e_ard_3-0-0_114077_2002-07-26_final
2003-02-26 11:39:51	ga_ls7e_ard_3-0-0_115075_2003-02-26_final
2003-07-24 09:32:55	ga_ls7e_ard_3-0-0_095067_2003-07-24_final
2003-11-12 08:55:39	ga_ls7e_ard_3-0-0_088082_2003-11-11_final
2004-08-11 09:36:00	ga_ls7e_ard_3-0-0_095074_2004-08-11_final
2004-10-12 11:30:35	ga_ls7e_ard_3-0-0_113083_2004-10-12_final
2005-02-24 11:31:29	ga_ls7e_ard_3-0-0_114067_2005-02-24_final
2005-06-16 11:35:40	ga_ls7e_ard_3-0-0_114078_2005-06-16_final
2005-08-30 09:39:37	ga_ls7e_ard_3-0-0_095082_2005-08-30_final
2005-11-16 11:29:08	ga_ls7e_ard_3-0-0_113077_2005-11-16_final
2005-12-04 09:34:00	ga_ls7e_ard_3-0-0_095067_2005-12-04_final
2006-01-26 11:34:35	ga_ls7e_ard_3-0-0_114074_2006-01-26_final
2006-09-23 11:34:07	ga_ls7e_ard_3-0-0_114074_2006-09-23_final
2006-12-12 11:36:47	ga_ls7e_ard_3-1-0_114079_2006-12-12_final
2007-01-04 11:42:37	ga_ls7e_ard_3-0-0_115078_2007-01-04_final
2007-04-26 11:42:05	ga_ls7e_ard_3-0-0_115076_2007-04-26_final
2007-12-06 11:42:40	ga_ls7e_ard_3-0-0_115078_2007-12-06_final
2007-12-15 11:32:08	ga_ls7e_ard_3-0-0_114067_2007-12-15_final
2008-07-01 11:41:34	ga_ls7e_ard_3-0-0_115077_2008-07-01_final
2008-11-06 11:41:26	ga_ls7e_ard_3-0-0_115078_2008-11-06_final
2008-12-08 11:42:13	ga_ls7e_ard_3-0-0_115079_2008-12-08_final
2009-02-26 11:41:13	ga_ls7e_ard_3-0-0_115075_2009-02-26_final
2009-05-10 11:36:15	ga_ls7e_ard_3-0-0_114077_2009-05-10_final
2009-12-15 09:37:47	ga_ls7e_ard_3-1-0_095073_2009-12-15_final
2011-05-16 11:39:23	ga_ls7e_ard_3-0-0_114077_2011-05-16_final
2012-01-02 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-02_final
2012-04-11 09:41:14	ga_ls7e_ard_3-0-0_095074_2012-04-11_final
2012-07-14 11:36:24	ga_ls7e_ard_3-0-0_113082_2012-07-14_final
2012-12-05 11:36:01	ga_ls7e_ard_3-0-0_113078_2012-12-05_final
2013-01-22 11:31:50	ga_ls7e_ard_3-0-0_113067_2013-01-22_final
2014-01-07 11:48:03	ga_ls7e_ard_3-0-0_115076_2014-01-07_final
2014-01-26 09:03:55	ga_ls7e_ard_3-0-0_088082_2014-01-25_final
2014-03-05 11:38:37	ga_ls7e_ard_3-0-0_114067_2014-03-05_final
2014-05-08 11:41:52	ga_ls7e_ard_3-0-0_114074_2014-05-08_final
2015-06-07 09:43:59	ga_ls7e_ard_3-0-0_095067_2015-06-07_final
2015-08-06 11:52:13	ga_ls7e_ard_3-0-0_115078_2015-08-06_final
2015-10-13 09:44:34	ga_ls7e_ard_3-0-0_095067_2015-10-13_final
2015-11-03 11:42:18	ga_ls7e_ard_3-0-0_114067_2015-11-03_final
2015-11-26 11:53:16	ga_ls7e_ard_3-0-0_115078_2015-11-26_final
2015-12-05 11:47:37	ga_ls7e_ard_3-0-0_114079_2015-12-05_final
2016-01-08 11:37:47	ga_ls7e_ard_3-0-0_112084_2016-01-08_final
2016-03-21 09:48:32	ga_ls7e_ard_3-0-0_095072_2016-03-21_final
2016-04-27 11:47:22	ga_ls7e_ard_3-0-0_114075_2016-04-27_final
2017-05-09 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-05-09_final
2018-01-22 09:48:40	ga_ls7e_ard_3-1-0_095073_2018-01-22_final
2018-05-30 09:44:24	ga_ls7e_ard_3-0-0_095067_2018-05-30_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2019-04-22 11:27:29	ga_ls7e_ard_3-0-0_112083_2019-04-22_final
2019-10-24 09:31:02	ga_ls7e_ard_3-1-0_095073_2019-10-24_final
2020-05-01 11:12:49	ga_ls7e_ard_3-1-0_113074_2020-05-01_final
2020-06-02 11:14:04	ga_ls7e_ard_3-1-0_113082_2020-06-02_final
2020-06-20 09:23:23	ga_ls7e_ard_3-1-0_095086_2020-06-19_final
2021-02-20 10:59:29	ga_ls7e_ard_3-2-0_114074_2021-02-20_final
2021-02-21 10:04:35	ga_ls7e_ard_3-2-0_105076_2021-02-21_final
2021-02-22 10:46:58	ga_ls7e_ard_3-2-0_112074_2021-02-22_final
2021-02-24 10:35:15	ga_ls7e_ard_3-2-0_110076_2021-02-24_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-03-24 09:16:30	ga_ls7e_ard_3-2-0_098070_2021-03-23_final
2021-04-22 10:23:39	ga_ls7e_ard_3-2-0_109074_2021-04-22_final
2021-04-30 09:36:20	ga_ls7e_ard_3-2-0_101081_2021-04-30_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-14 09:47:08	ga_ls7e_ard_3-2-0_103080_2021-05-14_final
2021-05-20 09:08:44	ga_ls7e_ard_3-2-0_097078_2021-05-19_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-05-26 10:08:26	ga_ls7e_ard_3-2-0_107074_2021-05-26_final
2021-06-02 08:41:07	ga_ls7e_ard_3-2-0_092089_2021-06-01_final
2021-06-04 08:28:59	ga_ls7e_ard_3-2-0_090090_2021-06-03_final
2021-06-21 10:46:57	ga_ls7e_ard_3-2-0_113083_2021-06-21_final
2021-06-23 10:28:03	ga_ls7e_ard_3-2-0_111067_2021-06-23_final
2021-06-28 09:14:04	ga_ls7e_ard_3-2-0_098084_2021-06-27_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-07-24 09:48:08	ga_ls7e_ard_3-2-0_104082_2021-07-24_final
2021-07-28 09:19:05	ga_ls7e_ard_3-2-0_100072_2021-07-27_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-19 08:45:38	ga_ls7e_ard_3-2-0_094086_2021-08-18_final
2021-08-31 09:06:08	ga_ls7e_ard_3-2-0_098078_2021-08-30_final
2021-09-27 08:48:23	ga_ls7e_ard_3-2-0_095086_2021-09-26_final
2021-10-18 09:04:17	ga_ls7e_ard_3-2-0_098084_2021-10-17_final
2021-11-06 09:30:37	ga_ls7e_ard_3-2-0_103077_2021-11-06_final
2021-11-10 09:02:20	ga_ls7e_ard_3-2-0_099069_2021-11-09_final
2021-11-10 10:44:48	ga_ls7e_ard_3-2-0_115078_2021-11-10_final
2021-11-26 09:01:34	ga_ls7e_ard_3-2-1_099071_2021-11-25_final
2021-12-06 09:38:55	ga_ls7e_ard_3-2-1_105074_2021-12-06_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-09 10:08:20	ga_ls7e_ard_3-2-1_110071_2021-12-09_final
2021-12-22 09:37:47	ga_ls7e_ard_3-2-1_105075_2021-12-22_final
2022-01-10 10:07:12	ga_ls7e_ard_3-2-1_110076_2022-01-10_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-01-27 09:09:33	ga_ls7e_ard_3-2-1_101075_2022-01-26_final
2022-02-13 09:50:41	ga_ls7e_ard_3-2-1_108074_2022-02-13_final
2022-02-18 10:09:31	ga_ls7e_ard_3-2-1_111076_2022-02-18_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_final
2022-03-29 08:37:02	ga_ls7e_ard_3-2-1_096086_2022-03-28_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-02 09:49:36	ga_ls7e_ard_3-2-1_108083_2022-04-02_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