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
1999-10-01 09:43:49	ga_ls7e_ard_3-0-0_095083_1999-10-01_final
1999-12-04 09:43:14	ga_ls7e_ard_3-0-0_095082_1999-12-04_final
2000-08-14 11:33:07	ga_ls7e_ard_3-0-0_113083_2000-08-14_final
2002-02-27 09:36:09	ga_ls7e_ard_3-0-0_095074_2002-02-27_final
2002-11-06 11:39:05	ga_ls7e_ard_3-0-0_115075_2002-11-06_final
2003-11-11 11:27:21	ga_ls7e_ard_3-0-0_113075_2003-11-11_final
2004-04-26 11:33:46	ga_ls7e_ard_3-0-0_114074_2004-04-26_final
2004-05-28 11:36:10	ga_ls7e_ard_3-0-0_114080_2004-05-28_final
2004-06-13 11:34:04	ga_ls7e_ard_3-0-0_114075_2004-06-13_final
2004-08-09 11:30:26	ga_ls7e_ard_3-0-0_113082_2004-08-09_final
2004-09-17 11:35:15	ga_ls7e_ard_3-0-0_114079_2004-09-17_final
2005-09-20 11:34:54	ga_ls7e_ard_3-0-0_114077_2005-09-20_final
2005-12-04 09:37:12	ga_ls7e_ard_3-0-0_095075_2005-12-04_final
2006-01-21 09:39:55	ga_ls7e_ard_3-0-0_095081_2006-01-21_final
2006-03-26 09:40:29	ga_ls7e_ard_3-0-0_095082_2006-03-26_final
2006-09-02 09:40:00	ga_ls7e_ard_3-0-0_095082_2006-09-02_final
2007-01-22 11:29:06	ga_ls7e_ard_3-0-0_113075_2007-01-22_final
2007-04-12 11:28:58	ga_ls7e_ard_3-0-0_113074_2007-04-12_final
2007-08-18 11:32:03	ga_ls7e_ard_3-0-0_113083_2007-08-18_final
2007-08-25 11:35:00	ga_ls7e_ard_3-0-0_114075_2007-08-25_final
2008-01-16 11:37:22	ga_ls7e_ard_3-0-0_114080_2008-01-16_final
2008-06-24 11:34:40	ga_ls7e_ard_3-0-0_114075_2008-06-24_final
2009-10-26 11:29:10	ga_ls7e_ard_3-0-0_113075_2009-10-26_final
2010-03-03 11:32:53	ga_ls7e_ard_3-0-0_113080_2010-03-03_final
2010-07-27 09:43:01	ga_ls7e_ard_3-0-0_095083_2010-07-27_final
2011-01-19 09:42:55	ga_ls7e_ard_3-0-0_095080_2011-01-19_final
2011-02-18 11:35:06	ga_ls7e_ard_3-0-0_113082_2011-02-18_final
2011-10-07 11:37:50	ga_ls7e_ard_3-0-0_114074_2011-10-07_final
2012-02-21 11:35:47	ga_ls7e_ard_3-0-0_113082_2012-02-21_final
2012-12-05 11:31:37	ga_ls7e_ard_3-0-0_113067_2012-12-05_final
2013-03-25 11:46:51	ga_ls7e_ard_3-0-0_115074_2013-03-25_final
2013-03-25 11:47:15	ga_ls7e_ard_3-0-0_115075_2013-03-25_final
2013-04-28 11:34:21	ga_ls7e_ard_3-0-0_113074_2013-04-28_final
2014-02-17 11:42:33	ga_ls7e_ard_3-0-0_114077_2014-02-17_final
2014-03-12 11:49:13	ga_ls7e_ard_3-0-0_115078_2014-03-12_final
2014-07-04 11:39:09	ga_ls7e_ard_3-0-0_113082_2014-07-04_final
2014-07-22 09:49:57	ga_ls7e_ard_3-0-0_095087_2014-07-22_final
2014-11-09 11:40:17	ga_ls7e_ard_3-0-0_113083_2014-11-09_final
2015-06-07 09:49:58	ga_ls7e_ard_3-0-0_095082_2015-06-07_final
2016-04-27 11:47:22	ga_ls7e_ard_3-0-0_114075_2016-04-27_final
2017-06-12 09:47:01	ga_ls7e_ard_3-0-0_095067_2017-06-12_final
2017-07-14 09:54:15	ga_ls7e_ard_3-0-0_095085_2017-07-14_final
2017-08-29 11:42:15	ga_ls7e_ard_3-0-0_113077_2017-08-29_final
2017-11-19 09:54:10	ga_ls7e_ard_3-0-0_095085_2017-11-19_final
2018-01-13 11:38:15	ga_ls7e_ard_3-0-0_112084_2018-01-13_final
2018-04-17 11:46:32	ga_ls7e_ard_3-0-0_114077_2018-04-17_final
2018-07-01 09:49:48	ga_ls7e_ard_3-0-0_095082_2018-07-01_final
2018-10-26 11:43:59	ga_ls7e_ard_3-0-0_114080_2018-10-26_final
2019-02-26 09:44:17	ga_ls7e_ard_3-1-0_095083_2019-02-26_final
2019-03-21 11:29:01	ga_ls7e_ard_3-1-0_112084_2019-03-21_final
2019-05-29 11:41:02	ga_ls7e_ard_3-0-0_115074_2019-05-29_final
2019-05-31 11:31:48	ga_ls7e_ard_3-0-0_113082_2019-05-31_final
2019-06-07 11:34:56	ga_ls7e_ard_3-0-0_114075_2019-06-07_final
2019-09-11 11:32:17	ga_ls7e_ard_3-1-0_114078_2019-09-11_final
2019-10-29 11:29:02	ga_ls7e_ard_3-1-0_114075_2019-10-29_final
2020-05-01 11:15:37	ga_ls7e_ard_3-1-0_113081_2020-05-01_final
2020-05-01 11:16:00	ga_ls7e_ard_3-1-0_113082_2020-05-01_final
2020-06-25 11:12:55	ga_ls7e_ard_3-1-0_114067_2020-06-25_final
2020-07-22 09:19:03	ga_ls7e_ard_3-1-0_095080_2020-07-21_final
2020-08-12 11:14:45	ga_ls7e_ard_3-1-0_114079_2020-08-12_final
2021-02-15 10:38:55	ga_ls7e_ard_3-2-0_111068_2021-02-15_final
2021-02-16 09:45:13	ga_ls7e_ard_3-2-0_102073_2021-02-16_final
2021-02-22 09:07:17	ga_ls7e_ard_3-2-0_096072_2021-02-21_final
2021-02-28 08:32:33	ga_ls7e_ard_3-2-0_090079_2021-02-27_final
2021-03-05 08:49:06	ga_ls7e_ard_3-2-0_093075_2021-03-04_final
2021-03-15 09:24:35	ga_ls7e_ard_3-2-0_099073_2021-03-14_final
2021-04-15 08:41:11	ga_ls7e_ard_3-2-0_092079_2021-04-14_final
2021-05-03 10:02:12	ga_ls7e_ard_3-2-0_106069_2021-05-03_final
2021-06-07 10:32:56	ga_ls7e_ard_3-2-0_111076_2021-06-07_final
2021-06-14 08:58:29	ga_ls7e_ard_3-2-0_096073_2021-06-13_final
2021-06-16 08:46:45	ga_ls7e_ard_3-2-0_094075_2021-06-15_final
2021-06-29 08:16:46	ga_ls7e_ard_3-2-0_089080_2021-06-28_final
2021-07-23 09:01:22	ga_ls7e_ard_3-2-0_097073_2021-07-22_final
2021-07-23 09:03:22	ga_ls7e_ard_3-2-0_097078_2021-07-22_final
2021-07-24 09:44:33	ga_ls7e_ard_3-2-0_104073_2021-07-24_final
2021-08-03 08:41:52	ga_ls7e_ard_3-2-0_094073_2021-08-02_final
2021-08-05 10:08:13	ga_ls7e_ard_3-2-0_108073_2021-08-05_final
2021-08-14 08:23:33	ga_ls7e_ard_3-2-0_091076_2021-08-13_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-15 10:02:50	ga_ls7e_ard_3-2-0_107084_2021-09-15_final
2021-09-20 08:38:03	ga_ls7e_ard_3-2-0_094074_2021-09-19_final
2021-09-20 10:14:08	ga_ls7e_ard_3-2-0_110067_2021-09-20_final
2021-10-05 09:31:56	ga_ls7e_ard_3-2-0_103073_2021-10-05_final
2021-10-09 09:10:28	ga_ls7e_ard_3-2-0_099082_2021-10-08_final
2021-10-22 10:12:53	ga_ls7e_ard_3-2-0_110071_2021-10-22_final
2021-11-26 09:05:34	ga_ls7e_ard_3-2-1_099081_2021-11-25_final
2021-12-02 10:05:36	ga_ls7e_ard_3-2-1_109078_2021-12-02_final
2021-12-05 10:36:14	ga_ls7e_ard_3-2-1_114078_2021-12-05_final
2021-12-18 10:05:41	ga_ls7e_ard_3-2-1_109082_2021-12-18_final
2022-01-02 09:20:31	ga_ls7e_ard_3-2-1_102081_2022-01-01_final
2022-01-09 09:21:14	ga_ls7e_ard_3-2-1_103069_2022-01-08_final
2022-01-10 10:07:36	ga_ls7e_ard_3-2-1_110077_2022-01-10_final
2022-02-04 08:23:18	ga_ls7e_ard_3-2-1_093085_2022-02-03_final
2022-02-06 09:44:50	ga_ls7e_ard_3-2-1_107073_2022-02-06_final
2022-03-02 10:33:30	ga_ls7e_ard_3-2-1_115077_2022-03-02_final
2022-03-12 07:52:37	ga_ls7e_ard_3-2-1_089079_2022-03-11_final
2022-04-05 08:36:56	ga_ls7e_ard_3-2-1_097072_2022-04-04_final
2022-04-05 10:19:48	ga_ls7e_ard_3-2-1_113082_2022-04-05_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