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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

53 results

Time (local)	Label
2000-04-05 10:57:59	ga_ls7e_ard_3-0-0_108069_2000-04-05_final
2000-04-11 10:22:24	ga_ls7e_ard_3-0-0_102073_2000-04-11_final
2001-11-10 10:06:33	ga_ls7e_ard_3-0-0_100074_2001-11-10_final
2002-09-04 10:41:11	ga_ls7e_ard_3-0-0_106069_2002-09-04_final
2003-02-27 10:44:39	ga_ls7e_ard_3-0-0_106076_2003-02-27_final
2003-05-02 10:44:45	ga_ls7e_ard_3-0-0_106076_2003-05-02_final
2003-08-25 09:39:35	ga_ls7e_ard_3-0-0_095084_2003-08-25_final
2003-10-10 09:45:36	ga_ls7e_ard_3-0-0_097069_2003-10-10_final
2003-11-14 10:18:37	ga_ls7e_ard_3-0-0_102073_2003-11-14_final
2004-04-25 10:50:54	ga_ls7e_ard_3-0-0_107075_2004-04-25_final
2004-05-28 09:52:54	ga_ls7e_ard_3-0-0_098069_2004-05-28_final
2004-06-05 10:44:41	ga_ls7e_ard_3-1-0_106075_2004-06-05_final
2004-07-12 09:28:37	ga_ls7e_ard_3-0-0_093086_2004-07-11_final
2004-10-02 10:50:20	ga_ls7e_ard_3-0-0_107075_2004-10-02_final
2004-10-11 10:44:06	ga_ls7e_ard_3-1-0_106075_2004-10-11_final
2005-01-21 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-01-21_final
2005-08-03 11:34:25	ga_ls7e_ard_3-0-0_114075_2005-08-03_final
2005-08-19 09:57:02	ga_ls7e_ard_3-0-0_098079_2005-08-19_final
2006-06-09 10:55:34	ga_ls7e_ard_3-0-0_108069_2006-06-09_final
2006-08-13 10:03:12	ga_ls7e_ard_3-0-0_099078_2006-08-13_final
2006-09-28 10:16:55	ga_ls7e_ard_3-0-0_101082_2006-09-28_final
2007-01-28 10:50:52	ga_ls7e_ard_3-0-0_107072_2007-01-28_final
2007-03-08 10:56:04	ga_ls7e_ard_3-0-0_108069_2007-03-08_final
2007-11-18 10:13:14	ga_ls7e_ard_3-0-0_101071_2007-11-18_final
2008-11-06 10:02:33	ga_ls7e_ard_3-0-0_099078_2008-11-06_final
2008-11-08 11:27:54	ga_ls7e_ard_3-0-0_113075_2008-11-08_final
2008-11-23 09:09:57	ga_ls7e_ard_3-1-0_090085_2008-11-22_final
2009-09-13 10:10:15	ga_ls7e_ard_3-0-0_100079_2009-09-13_final
2010-05-08 11:17:03	ga_ls7e_ard_3-0-0_111071_2010-05-08_final
2011-12-01 10:06:51	ga_ls7e_ard_3-0-0_099077_2011-12-01_final
2012-05-10 09:16:56	ga_ls7e_ard_3-0-0_090089_2012-05-09_final
2012-06-05 11:30:35	ga_ls7e_ard_3-0-0_112084_2012-06-05_final
2012-10-24 10:56:23	ga_ls7e_ard_3-0-0_107072_2012-10-24_final
2012-12-19 10:12:02	ga_ls7e_ard_3-0-0_099084_2012-12-19_final
2013-02-14 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-02-14_final
2013-03-20 09:49:05	ga_ls7e_ard_3-0-0_096073_2013-03-20_final
2013-04-04 09:07:46	ga_ls7e_ard_3-0-0_089078_2013-04-03_final
2013-06-04 10:15:00	ga_ls7e_ard_3-0-0_100077_2013-06-04_final
2013-08-15 09:27:08	ga_ls7e_ard_3-0-0_092082_2013-08-14_final
2014-04-07 09:13:05	ga_ls7e_ard_3-1-0_089089_2014-04-06_final
2015-02-07 10:38:08	ga_ls7e_ard_3-0-0_103081_2015-02-07_final
2016-09-17 09:30:47	ga_ls7e_ard_3-0-0_091088_2016-09-17_final
2017-12-10 10:12:09	ga_ls7e_ard_3-0-0_098084_2017-12-10_final
2018-06-21 09:12:55	ga_ls7e_ard_3-0-0_089082_2018-06-20_final
2019-06-04 09:29:15	ga_ls7e_ard_3-0-0_093085_2019-06-03_final
2019-08-01 10:01:19	ga_ls7e_ard_3-0-0_099078_2019-08-01_final
2019-08-09 10:52:49	ga_ls7e_ard_3-0-0_107084_2019-08-09_final
2020-09-21 10:18:18	ga_ls7e_ard_3-1-0_106068_2020-09-21_final
2020-11-09 09:21:05	ga_ls7e_ard_3-1-0_097072_2020-11-08_final
2021-05-11 09:17:41	ga_ls7e_ard_3-2-0_098083_2021-05-10_final
2021-05-31 08:52:51	ga_ls7e_ard_3-2-0_094087_2021-05-30_final
2021-07-18 10:22:32	ga_ls7e_ard_3-2-0_110074_2021-07-18_final
2021-10-03 08:10:23	ga_ls7e_ard_3-2-0_089085_2021-10-02_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