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

78 results

Time (local)	Label
1999-10-13 10:02:32	ga_ls7e_ard_3-0-0_099068_1999-10-13_final
1999-10-28 09:26:44	ga_ls7e_ard_3-0-0_092087_1999-10-27_final
2000-01-28 11:28:40	ga_ls7e_ard_3-0-0_112083_2000-01-28_final
2000-09-02 10:24:30	ga_ls7e_ard_3-0-0_102082_2000-09-02_final
2001-03-12 09:37:07	ga_ls7e_ard_3-1-0_095073_2001-03-12_final
2002-06-07 09:15:03	ga_ls7e_ard_3-0-0_091084_2002-06-06_final
2003-02-09 10:57:00	ga_ls7e_ard_3-0-0_108076_2003-02-09_final
2003-04-03 11:15:13	ga_ls7e_ard_3-0-0_111075_2003-04-03_final
2003-11-06 11:11:07	ga_ls7e_ard_3-0-0_110081_2003-11-06_final
2003-11-29 11:11:58	ga_ls7e_ard_3-0-0_111067_2003-11-29_final
2003-12-01 11:02:23	ga_ls7e_ard_3-0-0_109074_2003-12-01_final
2004-03-16 09:59:35	ga_ls7e_ard_3-0-0_099070_2004-03-16_final
2004-12-26 11:10:01	ga_ls7e_ard_3-0-0_110076_2004-12-26_final
2005-01-07 09:59:07	ga_ls7e_ard_3-0-0_098084_2005-01-07_final
2005-03-14 11:21:58	ga_ls7e_ard_3-0-0_112074_2005-03-14_final
2005-08-16 11:05:03	ga_ls7e_ard_3-0-0_109079_2005-08-16_final
2005-08-20 10:38:42	ga_ls7e_ard_3-0-0_105075_2005-08-20_final
2005-12-09 09:56:33	ga_ls7e_ard_3-0-0_098077_2005-12-09_final
2006-01-10 09:55:11	ga_ls7e_ard_3-0-0_098073_2006-01-10_final
2006-01-23 11:04:04	ga_ls7e_ard_3-0-0_109075_2006-01-23_final
2006-04-09 11:31:41	ga_ls7e_ard_3-0-0_113082_2006-04-09_final
2006-10-16 10:05:24	ga_ls7e_ard_3-0-0_099084_2006-10-16_final
2006-12-15 10:26:01	ga_ls7e_ard_3-0-0_103072_2006-12-15_final
2007-03-06 09:36:43	ga_ls7e_ard_3-0-0_094087_2007-03-06_final
2007-04-27 09:08:46	ga_ls7e_ard_3-0-0_090079_2007-04-26_final
2007-05-02 11:04:10	ga_ls7e_ard_3-0-0_109074_2007-05-02_final
2007-09-25 10:54:20	ga_ls7e_ard_3-0-0_107082_2007-09-25_final
2007-10-07 11:15:45	ga_ls7e_ard_3-0-0_111074_2007-10-07_final
2007-11-22 09:50:56	ga_ls7e_ard_3-0-0_097077_2007-11-22_final
2007-12-31 09:54:53	ga_ls7e_ard_3-0-0_098071_2007-12-31_final
2008-04-24 10:24:21	ga_ls7e_ard_3-0-0_103068_2008-04-24_final
2008-05-29 10:57:26	ga_ls7e_ard_3-0-0_108074_2008-05-29_final
2008-07-20 08:55:40	ga_ls7e_ard_3-0-0_088080_2008-07-19_final
2008-11-01 09:45:31	ga_ls7e_ard_3-0-0_096082_2008-11-01_final
2008-12-02 10:36:22	ga_ls7e_ard_3-0-0_105069_2008-12-02_final
2009-04-15 09:59:52	ga_ls7e_ard_3-0-0_099068_2009-04-15_final
2009-07-03 09:19:26	ga_ls7e_ard_3-0-0_092075_2009-07-02_final
2009-09-19 09:35:58	ga_ls7e_ard_3-0-0_094086_2009-09-19_final
2010-02-22 09:56:55	ga_ls7e_ard_3-0-0_098072_2010-02-22_final
2010-06-05 11:43:20	ga_ls7e_ard_3-0-0_115075_2010-06-05_final
2010-11-12 10:03:48	ga_ls7e_ard_3-0-0_099072_2010-11-12_final
2011-01-01 09:54:44	ga_ls7e_ard_3-0-0_097079_2011-01-01_final
2011-01-10 09:50:38	ga_ls7e_ard_3-0-0_096084_2011-01-10_final
2011-12-22 10:22:46	ga_ls7e_ard_3-0-0_102070_2011-12-22_final
2011-12-25 10:58:54	ga_ls7e_ard_3-0-0_107083_2011-12-25_final
2012-05-25 10:07:18	ga_ls7e_ard_3-0-0_099076_2012-05-25_final
2012-06-30 11:21:26	ga_ls7e_ard_3-0-0_111076_2012-06-30_final
2013-05-12 10:06:12	ga_ls7e_ard_3-0-0_099070_2013-05-12_final
2013-09-01 11:47:05	ga_ls7e_ard_3-0-0_115076_2013-09-01_final
2014-04-06 10:05:07	ga_ls7e_ard_3-1-0_098080_2014-04-06_final
2014-04-09 10:34:49	ga_ls7e_ard_3-0-0_103077_2014-04-09_final
2014-11-04 09:42:25	ga_ls7e_ard_3-0-0_094082_2014-11-04_final
2015-02-18 10:18:02	ga_ls7e_ard_3-0-0_100077_2015-02-18_final
2015-04-20 09:45:38	ga_ls7e_ard_3-0-0_095072_2015-04-20_final
2015-06-05 11:40:24	ga_ls7e_ard_3-0-0_113080_2015-06-05_final
2015-07-24 10:43:22	ga_ls7e_ard_3-0-0_104076_2015-07-24_final
2016-05-25 10:35:19	ga_ls7e_ard_3-0-0_102080_2016-05-25_final
2016-10-20 10:06:29	ga_ls7e_ard_3-0-0_098069_2016-10-20_final
2017-07-02 09:25:56	ga_ls7e_ard_3-0-0_091076_2017-07-01_final
2017-09-23 11:38:26	ga_ls7e_ard_3-0-0_112083_2017-09-23_final
2017-09-30 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-09-30_final
2017-10-02 09:54:11	ga_ls7e_ard_3-0-0_095085_2017-10-02_final
2018-03-30 10:22:42	ga_ls7e_ard_3-0-0_100083_2018-03-30_final
2018-08-22 09:26:06	ga_ls7e_ard_3-0-0_091087_2018-08-21_final
2018-08-31 09:15:45	ga_ls7e_ard_3-0-0_090077_2018-08-30_final
2018-10-18 09:14:37	ga_ls7e_ard_3-0-0_090077_2018-10-17_final
2019-02-27 10:21:32	ga_ls7e_ard_3-1-0_102068_2019-02-27_final
2019-04-20 09:59:50	ga_ls7e_ard_3-1-0_098080_2019-04-20_final
2019-05-21 09:18:11	ga_ls7e_ard_3-0-0_091087_2019-05-20_final
2020-02-03 08:50:58	ga_ls7e_ard_3-1-0_089078_2020-02-02_final
2020-02-24 10:46:06	ga_ls7e_ard_3-1-0_108075_2020-02-24_final
2020-04-12 09:10:09	ga_ls7e_ard_3-1-0_092089_2020-04-11_final
2020-05-26 11:05:06	ga_ls7e_ard_3-1-0_112074_2020-05-26_final
2020-08-27 10:28:08	ga_ls7e_ard_3-1-0_107073_2020-08-27_final
2021-05-10 08:35:18	ga_ls7e_ard_3-2-0_091085_2021-05-09_final
2021-05-12 09:57:40	ga_ls7e_ard_3-2-0_105075_2021-05-12_final
2021-07-23 09:00:34	ga_ls7e_ard_3-2-0_097071_2021-07-22_final
2021-09-11 10:23:31	ga_ls7e_ard_3-2-0_111073_2021-09-11_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