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

51 results

Time (local)	Label
2000-06-09 10:05:22	ga_ls7e_ard_3-0-0_099078_2000-06-09_final
2000-08-05 09:54:04	ga_ls7e_ard_3-0-0_098067_2000-08-05_final
2000-11-28 10:24:37	ga_ls7e_ard_3-0-0_103068_2000-11-28_final
2001-02-12 10:50:11	ga_ls7e_ard_3-0-0_107070_2001-02-12_final
2001-09-02 09:46:13	ga_ls7e_ard_3-0-0_097069_2001-09-02_final
2001-10-15 11:06:32	ga_ls7e_ard_3-0-0_110070_2001-10-15_final
2002-01-08 09:46:18	ga_ls7e_ard_3-0-0_097069_2002-01-08_final
2002-11-09 10:33:54	ga_ls7e_ard_3-0-0_104082_2002-11-09_final
2002-11-15 11:29:47	ga_ls7e_ard_3-0-0_114067_2002-11-15_final
2003-01-19 10:41:04	ga_ls7e_ard_3-1-0_105083_2003-01-19_final
2003-10-27 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-10-27_final
2004-02-20 10:08:24	ga_ls7e_ard_3-0-0_100077_2004-02-20_final
2004-11-23 10:24:52	ga_ls7e_ard_3-0-0_103072_2004-11-23_final
2005-05-01 09:40:10	ga_ls7e_ard_3-0-0_096067_2005-05-01_final
2005-12-04 09:34:00	ga_ls7e_ard_3-0-0_095067_2005-12-04_final
2006-02-01 10:57:09	ga_ls7e_ard_3-0-0_108073_2006-02-01_final
2006-10-11 09:39:59	ga_ls7e_ard_3-0-0_096067_2006-10-11_final
2006-11-21 09:34:24	ga_ls7e_ard_3-0-0_095067_2006-11-21_final
2007-01-29 11:32:09	ga_ls7e_ard_3-0-0_114067_2007-01-29_final
2007-04-21 09:48:40	ga_ls7e_ard_3-1-0_096086_2007-04-21_final
2007-08-07 10:09:23	ga_ls7e_ard_3-0-0_100077_2007-08-07_final
2007-11-19 09:24:24	ga_ls7e_ard_3-0-0_092088_2007-11-18_final
2008-02-01 11:32:10	ga_ls7e_ard_3-0-0_114067_2008-02-01_final
2008-12-30 11:02:56	ga_ls7e_ard_3-0-0_109073_2008-12-30_final
2009-05-12 09:41:01	ga_ls7e_ard_3-0-0_096067_2009-05-12_final
2009-09-22 10:00:28	ga_ls7e_ard_3-0-0_099070_2009-09-22_final
2010-10-18 10:11:42	ga_ls7e_ard_3-0-0_100077_2010-10-18_final
2011-02-04 09:43:48	ga_ls7e_ard_3-0-0_095082_2011-02-04_final
2011-02-11 09:46:01	ga_ls7e_ard_3-0-0_096072_2011-02-11_final
2011-02-11 11:22:54	ga_ls7e_ard_3-0-0_112067_2011-02-11_final
2011-03-31 09:44:12	ga_ls7e_ard_3-0-0_096067_2011-03-31_final
2011-04-28 10:12:55	ga_ls7e_ard_3-0-0_100077_2011-04-28_final
2011-08-21 09:05:31	ga_ls7e_ard_3-0-0_089079_2011-08-20_final
2011-08-22 11:28:03	ga_ls7e_ard_3-0-0_112080_2011-08-22_final
2011-10-02 09:37:40	ga_ls7e_ard_3-0-0_095067_2011-10-02_final
2011-12-01 10:04:27	ga_ls7e_ard_3-0-0_099071_2011-12-01_final
2013-09-17 10:06:23	ga_ls7e_ard_3-0-0_099071_2013-09-17_final
2016-11-11 09:33:14	ga_ls7e_ard_3-0-0_092079_2016-11-11_final
2016-12-18 09:46:50	ga_ls7e_ard_3-0-0_095067_2016-12-18_final
2017-03-04 10:12:50	ga_ls7e_ard_3-0-0_099071_2017-03-04_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2018-09-02 10:44:13	ga_ls7e_ard_3-0-0_104082_2018-09-02_final
2019-02-17 09:44:22	ga_ls7e_ard_3-1-0_096067_2019-02-17_final
2020-05-10 09:24:25	ga_ls7e_ard_3-1-0_096067_2020-05-09_final
2020-05-26 09:23:25	ga_ls7e_ard_3-1-0_096067_2020-05-25_final
2020-10-07 10:23:16	ga_ls7e_ard_3-1-0_106083_2020-10-07_final
2021-01-21 09:07:40	ga_ls7e_ard_3-2-0_096067_2021-01-20_final
2021-06-14 08:56:05	ga_ls7e_ard_3-2-0_096067_2021-06-13_final
2021-06-16 10:28:49	ga_ls7e_ard_3-2-0_110083_2021-06-16_final
2021-12-04 09:52:40	ga_ls7e_ard_3-2-1_107077_2021-12-04_final
2022-01-08 10:18:09	ga_ls7e_ard_3-2-1_112072_2022-01-08_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