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

57 results

Time (local)	Label
1999-09-17 11:06:33	ga_ls7e_ard_3-0-0_109074_1999-09-17_final
1999-12-29 11:12:40	ga_ls7e_ard_3-0-0_110074_1999-12-29_final
2000-07-17 11:05:10	ga_ls7e_ard_3-0-0_109074_2000-07-17_final
2000-09-27 10:17:55	ga_ls7e_ard_3-0-0_101082_2000-09-27_final
2001-02-17 09:28:39	ga_ls7e_ard_3-1-0_094067_2001-02-16_final
2001-06-03 10:09:24	ga_ls7e_ard_3-0-0_100078_2001-06-03_final
2001-09-29 09:26:37	ga_ls7e_ard_3-0-0_094067_2001-09-28_final
2001-11-26 10:07:52	ga_ls7e_ard_3-0-0_100077_2001-11-26_final
2001-12-01 10:28:22	ga_ls7e_ard_3-0-0_103082_2001-12-01_final
2002-05-31 09:10:54	ga_ls7e_ard_3-0-0_090089_2002-05-30_final
2002-07-02 10:44:01	ga_ls7e_ard_3-1-0_106075_2002-07-02_final
2002-07-14 09:26:36	ga_ls7e_ard_3-1-0_094067_2002-07-13_final
2002-07-18 09:10:13	ga_ls7e_ard_3-0-0_090088_2002-07-17_final
2002-08-15 09:33:59	ga_ls7e_ard_3-1-0_094086_2002-08-15_final
2002-12-05 11:10:57	ga_ls7e_ard_3-0-0_110081_2002-12-05_final
2003-03-05 10:08:25	ga_ls7e_ard_3-0-0_100078_2003-03-05_final
2003-03-15 10:42:43	ga_ls7e_ard_3-0-0_106071_2003-03-15_final
2003-04-03 11:14:25	ga_ls7e_ard_3-0-0_111073_2003-04-03_final
2003-05-14 11:08:37	ga_ls7e_ard_3-0-0_110074_2003-05-14_final
2003-11-10 10:44:29	ga_ls7e_ard_3-0-0_106076_2003-11-10_final
2004-01-29 10:44:39	ga_ls7e_ard_3-1-0_106075_2004-01-29_final
2004-02-19 11:02:50	ga_ls7e_ard_3-0-0_109074_2004-02-19_final
2004-07-12 11:02:42	ga_ls7e_ard_3-0-0_109074_2004-07-12_final
2004-07-30 10:51:01	ga_ls7e_ard_3-0-0_107076_2004-07-30_final
2004-10-01 10:08:16	ga_ls7e_ard_3-0-0_100078_2004-10-01_final
2004-10-23 09:26:58	ga_ls7e_ard_3-0-0_094067_2004-10-22_final
2005-04-01 09:27:53	ga_ls7e_ard_3-1-0_094067_2005-03-31_final
2005-05-20 10:17:05	ga_ls7e_ard_3-0-0_101082_2005-05-20_final
2005-06-08 10:45:29	ga_ls7e_ard_3-0-0_106076_2005-06-08_final
2005-09-12 10:45:03	ga_ls7e_ard_3-0-0_106076_2005-09-12_final
2007-01-09 10:20:41	ga_ls7e_ard_3-0-0_102074_2007-01-09_final
2007-01-27 10:07:12	ga_ls7e_ard_3-0-0_100071_2007-01-27_final
2007-04-25 10:58:01	ga_ls7e_ard_3-0-0_108074_2007-04-25_final
2007-09-14 09:28:03	ga_ls7e_ard_3-1-0_094067_2007-09-13_final
2007-09-16 10:57:21	ga_ls7e_ard_3-0-0_108074_2007-09-16_final
2007-09-24 10:09:04	ga_ls7e_ard_3-0-0_100077_2007-09-24_final
2007-10-16 09:28:01	ga_ls7e_ard_3-1-0_094067_2007-10-15_final
2008-07-09 10:51:14	ga_ls7e_ard_3-0-0_107075_2008-07-09_final
2008-12-05 09:27:37	ga_ls7e_ard_3-1-0_094067_2008-12-04_final
2009-01-22 09:27:58	ga_ls7e_ard_3-0-0_094067_2009-01-21_final
2009-06-15 09:28:39	ga_ls7e_ard_3-1-0_094067_2009-06-14_final
2009-11-24 10:58:16	ga_ls7e_ard_3-0-0_108074_2009-11-24_final
2010-05-11 10:11:26	ga_ls7e_ard_3-0-0_100077_2010-05-11_final
2011-04-26 10:26:52	ga_ls7e_ard_3-0-0_102081_2011-04-26_final
2011-08-21 09:05:31	ga_ls7e_ard_3-0-0_089079_2011-08-20_final
2011-11-14 11:01:06	ga_ls7e_ard_3-0-0_108074_2011-11-14_final
2013-04-23 09:34:08	ga_ls7e_ard_3-1-0_094067_2013-04-23_final
2013-06-26 09:33:49	ga_ls7e_ard_3-1-0_094067_2013-06-26_final
2013-09-14 09:33:52	ga_ls7e_ard_3-1-0_094067_2013-09-14_final
2013-12-03 09:34:33	ga_ls7e_ard_3-1-0_094067_2013-12-03_final
2017-08-08 09:40:51	ga_ls7e_ard_3-0-0_094067_2017-08-08_final
2017-08-27 10:18:08	ga_ls7e_ard_3-0-0_099083_2017-08-27_final
2018-10-14 09:35:27	ga_ls7e_ard_3-1-0_094067_2018-10-14_final
2020-01-21 09:18:08	ga_ls7e_ard_3-1-0_094067_2020-01-20_final
2020-01-26 09:38:01	ga_ls7e_ard_3-1-0_097071_2020-01-26_final
2022-02-08 09:31:04	ga_ls7e_ard_3-2-1_105070_2022-02-08_final
2022-02-13 09:52:40	ga_ls7e_ard_3-2-1_108079_2022-02-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years