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
1999-10-13 11:44:37	ga_ls7e_ard_3-0-0_115076_1999-10-13_final
2000-03-28 11:51:07	ga_ls7e_ard_3-0-0_116078_2000-03-28_final
2000-04-22 11:43:54	ga_ls7e_ard_3-0-0_115076_2000-04-22_final
2001-05-04 11:36:41	ga_ls7e_ard_3-0-0_114079_2001-05-04_final
2002-04-05 11:35:48	ga_ls7e_ard_3-0-0_114080_2002-04-05_final
2002-05-02 09:39:14	ga_ls7e_ard_3-0-0_095082_2002-05-02_final
2002-05-07 11:35:04	ga_ls7e_ard_3-0-0_114078_2002-05-07_final
2003-12-04 11:34:30	ga_ls7e_ard_3-0-0_114077_2003-12-04_final
2004-04-17 11:41:57	ga_ls7e_ard_3-0-0_115079_2004-04-17_final
2004-05-07 09:39:59	ga_ls7e_ard_3-0-0_095083_2004-05-07_final
2004-11-20 11:34:01	ga_ls7e_ard_3-0-0_114075_2004-11-20_final
2005-08-14 09:39:20	ga_ls7e_ard_3-0-0_095081_2005-08-14_final
2006-04-27 09:37:38	ga_ls7e_ard_3-0-0_095075_2006-04-27_final
2006-08-01 09:40:05	ga_ls7e_ard_3-0-0_095082_2006-08-01_final
2007-05-05 11:32:16	ga_ls7e_ard_3-0-0_114067_2007-05-05_final
2007-07-15 11:42:12	ga_ls7e_ard_3-0-0_115077_2007-07-15_final
2008-03-04 11:36:24	ga_ls7e_ard_3-0-0_114078_2008-03-04_final
2008-08-22 09:36:43	ga_ls7e_ard_3-0-0_095075_2008-08-22_final
2008-10-25 09:39:38	ga_ls7e_ard_3-0-0_095083_2008-10-25_final
2008-10-30 11:35:09	ga_ls7e_ard_3-0-0_114078_2008-10-30_final
2009-01-09 11:41:16	ga_ls7e_ard_3-0-0_115076_2009-01-09_final
2009-05-10 11:36:39	ga_ls7e_ard_3-0-0_114078_2009-05-10_final
2009-07-13 11:36:33	ga_ls7e_ard_3-0-0_114078_2009-07-13_final
2009-12-20 11:37:42	ga_ls7e_ard_3-0-0_114079_2009-12-20_final
2010-06-09 09:42:56	ga_ls7e_ard_3-0-0_095083_2010-06-09_final
2011-03-24 09:43:33	ga_ls7e_ard_3-0-0_095081_2011-03-24_final
2011-08-15 09:44:12	ga_ls7e_ard_3-0-0_095083_2011-08-15_final
2011-09-21 11:38:18	ga_ls7e_ard_3-0-0_114075_2011-09-21_final
2011-12-26 11:40:34	ga_ls7e_ard_3-0-0_114079_2011-12-26_final
2012-02-07 09:38:30	ga_ls7e_ard_3-0-0_095067_2012-02-07_final
2012-04-11 09:46:02	ga_ls7e_ard_3-0-0_095086_2012-04-11_final
2012-07-16 09:39:12	ga_ls7e_ard_3-0-0_095067_2012-07-16_final
2012-07-16 09:45:35	ga_ls7e_ard_3-0-0_095083_2012-07-16_final
2012-09-23 11:40:09	ga_ls7e_ard_3-0-0_114074_2012-09-23_final
2012-11-10 11:42:06	ga_ls7e_ard_3-0-0_114078_2012-11-10_final
2013-01-24 09:48:35	ga_ls7e_ard_3-0-0_095087_2013-01-24_final
2013-07-24 11:40:21	ga_ls7e_ard_3-0-0_114075_2013-07-24_final
2013-12-06 11:48:21	ga_ls7e_ard_3-1-0_115077_2013-12-06_final
2013-12-10 09:45:57	ga_ls7e_ard_3-0-0_095080_2013-12-10_final
2014-01-16 11:43:13	ga_ls7e_ard_3-0-0_114079_2014-01-16_final
2014-06-04 09:48:59	ga_ls7e_ard_3-0-0_095085_2014-06-04_final
2014-07-18 11:49:08	ga_ls7e_ard_3-0-0_115076_2014-07-18_final
2014-10-31 11:43:58	ga_ls7e_ard_3-0-0_114077_2014-10-31_final
2015-10-13 09:48:57	ga_ls7e_ard_3-0-0_095078_2015-10-13_final
2016-11-21 11:48:21	ga_ls7e_ard_3-0-0_114077_2016-11-21_final
2017-01-19 09:50:06	ga_ls7e_ard_3-0-0_095076_2017-01-19_final
2017-11-03 09:52:38	ga_ls7e_ard_3-0-0_095081_2017-11-03_final
2018-04-01 11:45:36	ga_ls7e_ard_3-0-0_114074_2018-04-01_final
2018-11-22 09:43:09	ga_ls7e_ard_3-1-0_095073_2018-11-22_final
2019-03-26 11:45:23	ga_ls7e_ard_3-1-0_115079_2019-03-26_final
2019-09-02 11:38:27	ga_ls7e_ard_3-1-0_115077_2019-09-02_final
2019-10-20 11:37:12	ga_ls7e_ard_3-1-0_115079_2019-10-20_final
2020-01-24 11:30:57	ga_ls7e_ard_3-1-0_115075_2020-01-24_final
2020-02-13 09:28:20	ga_ls7e_ard_3-1-0_095080_2020-02-12_final
2020-05-03 09:24:15	ga_ls7e_ard_3-1-0_095081_2020-05-02_final
2020-08-23 09:19:01	ga_ls7e_ard_3-1-0_095085_2020-08-22_final
2020-08-28 11:13:19	ga_ls7e_ard_3-1-0_114078_2020-08-28_final
2020-10-10 09:13:54	ga_ls7e_ard_3-1-0_095080_2020-10-09_final
2021-02-24 10:35:39	ga_ls7e_ard_3-2-0_110077_2021-02-24_final
2021-03-16 08:32:05	ga_ls7e_ard_3-2-0_090081_2021-03-15_final
2021-03-24 09:22:29	ga_ls7e_ard_3-2-0_098085_2021-03-23_final
2021-03-29 09:35:49	ga_ls7e_ard_3-2-0_101073_2021-03-29_final
2021-04-02 09:09:59	ga_ls7e_ard_3-2-0_097071_2021-04-01_final
2021-04-29 08:52:45	ga_ls7e_ard_3-2-0_094080_2021-04-28_final
2021-05-04 09:11:17	ga_ls7e_ard_3-2-0_097081_2021-05-03_final
2021-05-09 09:28:37	ga_ls7e_ard_3-2-0_100079_2021-05-08_final
2021-05-11 09:16:29	ga_ls7e_ard_3-2-0_098080_2021-05-10_final
2021-05-19 08:25:34	ga_ls7e_ard_3-2-0_090078_2021-05-18_final
2021-06-07 10:32:32	ga_ls7e_ard_3-2-0_111075_2021-06-07_final
2021-06-12 10:51:28	ga_ls7e_ard_3-2-0_114077_2021-06-12_final
2021-07-02 10:22:42	ga_ls7e_ard_3-2-0_110071_2021-07-02_final
2021-07-10 09:33:47	ga_ls7e_ard_3-2-0_102074_2021-07-10_final
2021-07-20 08:31:32	ga_ls7e_ard_3-2-0_092075_2021-07-19_final
2021-07-25 10:30:55	ga_ls7e_ard_3-2-0_111081_2021-07-25_final
2021-07-26 09:31:13	ga_ls7e_ard_3-2-0_102071_2021-07-26_final
2021-07-26 09:32:01	ga_ls7e_ard_3-2-0_102073_2021-07-26_final
2021-08-16 09:47:05	ga_ls7e_ard_3-2-0_105069_2021-08-16_final
2021-08-19 08:38:03	ga_ls7e_ard_3-2-0_094067_2021-08-18_final
2021-08-19 08:45:14	ga_ls7e_ard_3-2-0_094085_2021-08-18_final
2021-08-21 10:11:11	ga_ls7e_ard_3-2-0_108084_2021-08-21_final
2021-08-22 10:52:22	ga_ls7e_ard_3-2-0_115079_2021-08-22_final
2021-09-08 09:53:17	ga_ls7e_ard_3-2-0_106074_2021-09-08_final
2021-09-17 08:10:13	ga_ls7e_ard_3-2-0_089081_2021-09-16_final
2021-09-20 10:20:07	ga_ls7e_ard_3-2-0_110082_2021-09-20_final
2021-09-24 08:14:58	ga_ls7e_ard_3-2-0_090079_2021-09-23_final
2021-09-27 08:47:35	ga_ls7e_ard_3-2-0_095084_2021-09-26_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-06 10:14:19	ga_ls7e_ard_3-2-0_110071_2021-10-06_final
2021-10-09 09:10:52	ga_ls7e_ard_3-2-0_099083_2021-10-08_final
2021-10-10 08:13:57	ga_ls7e_ard_3-2-0_090080_2021-10-09_final
2021-10-21 09:33:18	ga_ls7e_ard_3-2-0_103080_2021-10-21_final
2021-10-27 08:52:05	ga_ls7e_ard_3-2-0_097071_2021-10-26_final
2021-12-05 10:34:38	ga_ls7e_ard_3-2-1_114074_2021-12-05_final
2021-12-18 08:26:48	ga_ls7e_ard_3-2-1_093082_2021-12-17_final
2021-12-20 09:52:20	ga_ls7e_ard_3-2-1_107080_2021-12-20_final
2021-12-30 08:50:44	ga_ls7e_ard_3-2-1_097083_2021-12-29_final
2022-01-28 08:15:26	ga_ls7e_ard_3-2-1_092079_2022-01-27_final
2022-01-29 08:57:24	ga_ls7e_ard_3-2-1_099076_2022-01-28_final
2022-01-29 08:59:23	ga_ls7e_ard_3-2-1_099081_2022-01-28_final
2022-03-11 08:44:21	ga_ls7e_ard_3-2-1_098069_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