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
1999-08-26 11:43:44	ga_ls7e_ard_3-0-0_115074_1999-08-26_final
1999-09-15 09:40:25	ga_ls7e_ard_3-0-0_095075_1999-09-15_final
1999-12-20 09:44:55	ga_ls7e_ard_3-0-0_095086_1999-12-20_final
2000-03-14 11:39:59	ga_ls7e_ard_3-0-0_114081_2000-03-14_final
2000-11-04 09:34:46	ga_ls7e_ard_3-0-0_095067_2000-11-04_final
2000-11-04 09:37:33	ga_ls7e_ard_3-0-0_095074_2000-11-04_final
2000-12-27 11:36:41	ga_ls7e_ard_3-0-0_114078_2000-12-27_final
2001-02-08 09:38:24	ga_ls7e_ard_3-0-0_095076_2001-02-08_final
2001-05-04 11:35:29	ga_ls7e_ard_3-0-0_114076_2001-05-04_final
2001-06-21 11:36:54	ga_ls7e_ard_3-0-0_114081_2001-06-21_final
2001-08-24 11:33:49	ga_ls7e_ard_3-0-0_114075_2001-08-24_final
2001-10-02 11:39:06	ga_ls7e_ard_3-0-0_115074_2001-10-02_final
2001-10-27 11:30:08	ga_ls7e_ard_3-0-0_114067_2001-10-27_final
2002-04-21 11:33:24	ga_ls7e_ard_3-0-0_114074_2002-04-21_final
2002-06-03 09:36:37	ga_ls7e_ard_3-0-0_095076_2002-06-03_final
2002-06-19 09:35:18	ga_ls7e_ard_3-1-0_095073_2002-06-19_final
2002-08-11 11:34:24	ga_ls7e_ard_3-0-0_114078_2002-08-11_final
2002-08-18 11:40:57	ga_ls7e_ard_3-1-0_115079_2002-08-18_final
2002-09-23 09:35:46	ga_ls7e_ard_3-0-0_095076_2002-09-23_final
2002-12-28 09:40:44	ga_ls7e_ard_3-0-0_095087_2002-12-28_final
2003-01-09 11:39:08	ga_ls7e_ard_3-0-0_115074_2003-01-09_final
2003-03-07 11:34:34	ga_ls7e_ard_3-0-0_114077_2003-03-07_final
2006-02-06 09:38:49	ga_ls7e_ard_3-0-0_095078_2006-02-06_final
2006-05-13 09:38:04	ga_ls7e_ard_3-0-0_095076_2006-05-13_final
2006-10-20 09:38:45	ga_ls7e_ard_3-1-0_095079_2006-10-20_final
2006-12-23 09:39:00	ga_ls7e_ard_3-0-0_095078_2006-12-23_final
2007-07-19 09:40:59	ga_ls7e_ard_3-0-0_095083_2007-07-19_final
2008-05-18 09:38:22	ga_ls7e_ard_3-0-0_095077_2008-05-18_final
2008-06-03 09:39:51	ga_ls7e_ard_3-0-0_095081_2008-06-03_final
2008-10-25 09:36:50	ga_ls7e_ard_3-0-0_095076_2008-10-25_final
2009-02-19 11:35:22	ga_ls7e_ard_3-0-0_114076_2009-02-19_final
2009-03-02 09:38:27	ga_ls7e_ard_3-0-0_095077_2009-03-02_final
2009-05-21 09:38:26	ga_ls7e_ard_3-0-0_095076_2009-05-21_final
2009-07-08 09:39:33	ga_ls7e_ard_3-1-0_095079_2009-07-08_final
2009-08-09 09:42:10	ga_ls7e_ard_3-0-0_095086_2009-08-09_final
2010-04-06 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-04-06_final
2010-07-11 09:43:00	ga_ls7e_ard_3-0-0_095083_2010-07-11_final
2011-08-20 11:40:49	ga_ls7e_ard_3-0-0_114081_2011-08-20_final
2012-07-12 11:47:33	ga_ls7e_ard_3-0-0_115079_2012-07-12_final
2013-09-21 09:42:54	ga_ls7e_ard_3-0-0_095074_2013-09-21_final
2014-02-12 09:46:49	ga_ls7e_ard_3-0-0_095081_2014-02-12_final
2015-03-03 09:46:52	ga_ls7e_ard_3-0-0_095076_2015-03-03_final
2015-06-23 09:48:48	ga_ls7e_ard_3-1-0_095079_2015-06-23_final
2015-06-28 11:45:03	ga_ls7e_ard_3-0-0_114076_2015-06-28_final
2015-08-15 11:46:52	ga_ls7e_ard_3-0-0_114080_2015-08-15_final
2015-11-14 09:48:41	ga_ls7e_ard_3-0-0_095076_2015-11-14_final
2016-06-25 09:50:34	ga_ls7e_ard_3-0-0_095076_2016-06-25_final
2016-08-12 09:52:37	ga_ls7e_ard_3-0-0_095081_2016-08-12_final
2016-12-18 09:52:01	ga_ls7e_ard_3-0-0_095080_2016-12-18_final
2017-04-25 09:50:01	ga_ls7e_ard_3-0-0_095075_2017-04-25_final
2017-12-21 09:51:54	ga_ls7e_ard_3-0-0_095080_2017-12-21_final
2018-05-14 09:47:50	ga_ls7e_ard_3-0-0_095075_2018-05-14_final
2018-08-18 09:45:43	ga_ls7e_ard_3-0-0_095074_2018-08-18_final
2018-11-22 09:45:32	ga_ls7e_ard_3-1-0_095079_2018-11-22_final
2019-02-26 09:41:54	ga_ls7e_ard_3-1-0_095077_2019-02-26_final
2019-08-01 11:39:48	ga_ls7e_ard_3-0-0_115077_2019-08-01_final
2019-09-06 09:34:17	ga_ls7e_ard_3-1-0_095076_2019-09-06_final
2019-10-08 09:33:18	ga_ls7e_ard_3-1-0_095077_2019-10-08_final
2019-10-24 09:33:25	ga_ls7e_ard_3-1-0_095079_2019-10-24_final
2019-12-11 09:29:59	ga_ls7e_ard_3-1-0_095076_2019-12-10_final
2021-02-22 09:10:05	ga_ls7e_ard_3-2-0_096079_2021-02-21_final
2021-02-22 09:11:17	ga_ls7e_ard_3-2-0_096082_2021-02-21_final
2021-02-24 08:57:34	ga_ls7e_ard_3-2-0_094079_2021-02-23_final
2021-03-09 10:01:21	ga_ls7e_ard_3-2-0_105071_2021-03-09_final
2021-03-09 10:01:45	ga_ls7e_ard_3-2-0_105072_2021-03-09_final
2021-03-11 09:50:02	ga_ls7e_ard_3-2-0_103074_2021-03-11_final
2021-03-27 09:48:45	ga_ls7e_ard_3-2-0_103074_2021-03-27_final
2021-04-17 10:06:44	ga_ls7e_ard_3-2-0_106077_2021-04-17_final
2021-04-19 09:54:13	ga_ls7e_ard_3-2-0_104077_2021-04-19_final
2021-05-06 08:56:46	ga_ls7e_ard_3-2-0_095076_2021-05-05_final
2021-05-13 10:41:38	ga_ls7e_ard_3-2-0_112077_2021-05-13_final
2021-05-18 09:19:41	ga_ls7e_ard_3-2-0_099074_2021-05-17_final
2021-06-24 09:36:20	ga_ls7e_ard_3-2-0_102077_2021-06-24_final
2021-07-01 09:42:43	ga_ls7e_ard_3-2-0_103079_2021-07-01_final
2021-07-19 09:28:50	ga_ls7e_ard_3-2-0_101079_2021-07-18_final
2021-08-02 09:39:34	ga_ls7e_ard_3-2-0_103078_2021-08-02_final
2021-08-05 08:32:08	ga_ls7e_ard_3-2-0_092080_2021-08-04_final
2021-08-09 09:44:20	ga_ls7e_ard_3-2-0_104076_2021-08-09_final
2021-08-09 09:46:20	ga_ls7e_ard_3-2-0_104081_2021-08-09_final
2021-09-22 08:27:30	ga_ls7e_ard_3-2-0_092079_2021-09-21_final
2021-09-24 08:16:34	ga_ls7e_ard_3-2-0_090083_2021-09-23_final
2021-09-24 09:53:27	ga_ls7e_ard_3-2-0_106078_2021-09-24_final
2021-09-25 10:38:13	ga_ls7e_ard_3-2-0_113082_2021-09-25_final
2021-10-11 10:35:36	ga_ls7e_ard_3-2-0_113079_2021-10-11_final
2021-10-29 10:20:49	ga_ls7e_ard_3-2-0_111077_2021-10-29_final
2021-10-31 08:29:24	ga_ls7e_ard_3-2-0_093077_2021-10-30_final
2021-11-01 09:13:21	ga_ls7e_ard_3-2-0_100079_2021-10-31_final
2021-11-09 10:00:50	ga_ls7e_ard_3-2-0_108076_2021-11-09_final
2021-12-20 08:13:03	ga_ls7e_ard_3-2-1_091079_2021-12-19_final
2021-12-26 09:14:39	ga_ls7e_ard_3-2-1_101080_2021-12-25_final
2022-01-01 10:15:51	ga_ls7e_ard_3-2-1_111080_2022-01-01_final
2022-01-09 09:24:50	ga_ls7e_ard_3-2-1_103078_2022-01-08_final
2022-01-12 09:55:03	ga_ls7e_ard_3-2-1_108077_2022-01-12_final
2022-01-17 08:35:26	ga_ls7e_ard_3-2-1_095080_2022-01-16_final
2022-01-17 08:35:50	ga_ls7e_ard_3-2-1_095081_2022-01-16_final
2022-02-09 10:18:13	ga_ls7e_ard_3-2-1_112080_2022-02-09_final
2022-02-11 08:26:22	ga_ls7e_ard_3-2-1_094079_2022-02-10_final
2022-02-27 08:23:12	ga_ls7e_ard_3-2-1_094075_2022-02-26_final
2022-03-06 08:29:54	ga_ls7e_ard_3-2-1_095078_2022-03-05_final
2022-03-10 09:45:15	ga_ls7e_ard_3-2-1_107082_2022-03-10_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