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

61 results

Time (local)	Label
2001-01-08 10:23:42	ga_ls7e_ard_3-0-0_102081_2001-01-08_final
2002-01-17 09:42:10	ga_ls7e_ard_3-0-0_096074_2002-01-17_final
2002-05-22 10:50:28	ga_ls7e_ard_3-0-0_107075_2002-05-22_final
2003-02-25 10:56:11	ga_ls7e_ard_3-0-0_108074_2003-02-25_final
2003-03-31 10:44:17	ga_ls7e_ard_3-1-0_106075_2003-03-31_final
2003-08-04 10:55:57	ga_ls7e_ard_3-0-0_108074_2003-08-04_final
2003-08-18 11:08:43	ga_ls7e_ard_3-0-0_110075_2003-08-18_final
2003-09-28 09:28:13	ga_ls7e_ard_3-1-0_093087_2003-09-27_final
2004-02-22 09:54:02	ga_ls7e_ard_3-0-0_098072_2004-02-22_final
2004-04-02 10:44:27	ga_ls7e_ard_3-0-0_106074_2004-04-02_final
2004-04-17 10:02:16	ga_ls7e_ard_3-0-0_099077_2004-04-17_final
2005-05-05 10:57:33	ga_ls7e_ard_3-1-0_108075_2005-05-05_final
2005-08-01 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-08-01_final
2005-08-29 10:35:15	ga_ls7e_ard_3-0-0_104082_2005-08-29_final
2005-11-15 10:44:40	ga_ls7e_ard_3-0-0_106074_2005-11-15_final
2006-01-10 11:36:03	ga_ls7e_ard_3-0-0_114078_2006-01-10_final
2006-05-19 10:39:52	ga_ls7e_ard_3-0-0_105076_2006-05-19_final
2006-07-24 10:29:09	ga_ls7e_ard_3-0-0_103081_2006-07-24_final
2007-04-26 10:03:36	ga_ls7e_ard_3-1-0_099077_2007-04-26_final
2007-06-26 11:09:45	ga_ls7e_ard_3-0-0_110073_2007-06-26_final
2007-09-12 11:25:41	ga_ls7e_ard_3-0-0_112083_2007-09-12_final
2007-11-21 10:44:57	ga_ls7e_ard_3-0-0_106073_2007-11-21_final
2008-06-01 11:25:31	ga_ls7e_ard_3-0-0_113067_2008-06-01_final
2008-07-06 10:22:46	ga_ls7e_ard_3-0-0_102081_2008-07-06_final
2008-10-29 10:53:52	ga_ls7e_ard_3-0-0_107083_2008-10-29_final
2008-11-17 09:45:21	ga_ls7e_ard_3-0-0_096081_2008-11-17_final
2009-06-23 10:23:40	ga_ls7e_ard_3-0-0_102081_2009-06-23_final
2009-11-14 10:23:51	ga_ls7e_ard_3-0-0_102081_2009-11-14_final
2010-06-20 11:01:18	ga_ls7e_ard_3-0-0_108078_2010-06-20_final
2010-08-29 10:23:08	ga_ls7e_ard_3-0-0_102075_2010-08-29_final
2010-12-23 09:56:02	ga_ls7e_ard_3-0-0_098067_2010-12-23_final
2011-01-09 10:41:51	ga_ls7e_ard_3-0-0_105073_2011-01-09_final
2011-02-10 10:42:02	ga_ls7e_ard_3-0-0_105073_2011-02-10_final
2011-03-15 09:50:56	ga_ls7e_ard_3-0-0_096084_2011-03-15_final
2011-05-27 09:41:12	ga_ls7e_ard_3-0-0_095075_2011-05-27_final
2011-12-13 10:33:12	ga_ls7e_ard_3-0-0_103081_2011-12-13_final
2012-11-09 09:23:56	ga_ls7e_ard_3-0-0_091088_2012-11-08_final
2012-11-29 10:30:14	ga_ls7e_ard_3-0-0_103068_2012-11-29_final
2014-06-22 11:11:33	ga_ls7e_ard_3-0-0_109075_2014-06-22_final
2014-11-16 11:44:28	ga_ls7e_ard_3-0-0_114078_2014-11-16_final
2015-02-27 10:14:45	ga_ls7e_ard_3-0-0_099084_2015-02-27_final
2015-04-26 09:12:59	ga_ls7e_ard_3-0-0_089083_2015-04-25_final
2015-09-04 11:19:45	ga_ls7e_ard_3-0-0_110074_2015-09-04_final
2015-10-26 10:56:46	ga_ls7e_ard_3-0-0_106077_2015-10-26_final
2016-01-22 10:11:51	ga_ls7e_ard_3-0-0_098085_2016-01-22_final
2017-05-28 10:32:36	ga_ls7e_ard_3-1-0_102073_2017-05-28_final
2017-12-01 10:12:01	ga_ls7e_ard_3-0-0_099068_2017-12-01_final
2018-02-25 11:15:08	ga_ls7e_ard_3-0-0_109074_2018-02-25_final
2018-04-30 11:14:36	ga_ls7e_ard_3-0-0_109075_2018-04-30_final
2018-05-16 11:13:56	ga_ls7e_ard_3-0-0_109074_2018-05-16_final
2018-06-01 11:14:29	ga_ls7e_ard_3-0-0_109076_2018-06-01_final
2020-01-10 09:40:48	ga_ls7e_ard_3-1-0_097076_2020-01-10_final
2020-04-27 10:02:05	ga_ls7e_ard_3-1-0_101082_2020-04-27_final
2020-05-10 11:03:18	ga_ls7e_ard_3-1-0_112067_2020-05-10_final
2020-06-30 09:58:16	ga_ls7e_ard_3-1-0_101082_2020-06-30_final
2020-08-02 10:39:06	ga_ls7e_ard_3-1-0_108081_2020-08-02_final
2020-09-05 08:49:16	ga_ls7e_ard_3-1-0_090090_2020-09-04_final
2021-04-24 08:33:03	ga_ls7e_ard_3-2-0_091076_2021-04-23_final
2021-06-14 08:57:17	ga_ls7e_ard_3-2-0_096070_2021-06-13_final
2022-02-01 09:24:48	ga_ls7e_ard_3-2-1_104068_2022-01-31_final
2022-02-21 09:04:03	ga_ls7e_ard_3-2-1_100083_2022-02-20_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