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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

73 results

Time (local)	Label
1999-08-22 10:30:19	ga_ls7e_ard_3-0-0_103076_1999-08-22_final
1999-12-10 10:41:56	ga_ls7e_ard_3-0-0_105074_1999-12-10_final
2000-07-10 10:59:04	ga_ls7e_ard_3-0-0_108074_2000-07-10_final
2000-08-13 10:47:04	ga_ls7e_ard_3-0-0_106076_2000-08-13_final
2000-12-18 10:03:56	ga_ls7e_ard_3-0-0_099078_2000-12-18_final
2001-01-23 09:34:56	ga_ls7e_ard_3-0-0_095067_2001-01-23_final
2001-01-24 10:20:59	ga_ls7e_ard_3-0-0_102074_2001-01-24_final
2001-06-12 10:02:44	ga_ls7e_ard_3-0-0_099077_2001-06-12_final
2001-07-22 10:51:03	ga_ls7e_ard_3-0-0_107075_2001-07-22_final
2001-07-29 10:54:44	ga_ls7e_ard_3-0-0_108069_2001-07-29_final
2001-08-15 10:01:57	ga_ls7e_ard_3-0-0_099077_2001-08-15_final
2001-11-16 09:26:44	ga_ls7e_ard_3-1-0_094067_2001-11-15_final
2002-02-11 09:33:19	ga_ls7e_ard_3-0-0_095067_2002-02-11_final
2002-03-01 11:05:05	ga_ls7e_ard_3-0-0_109080_2002-03-01_final
2002-05-23 09:58:25	ga_ls7e_ard_3-0-0_098084_2002-05-23_final
2002-06-14 10:54:04	ga_ls7e_ard_3-0-0_108069_2002-06-14_final
2002-08-12 09:00:17	ga_ls7e_ard_3-0-0_089079_2002-08-11_final
2003-02-02 10:50:20	ga_ls7e_ard_3-0-0_107075_2003-02-02_final
2003-07-19 10:54:06	ga_ls7e_ard_3-0-0_108069_2003-07-19_final
2004-02-16 10:29:33	ga_ls7e_ard_3-0-0_104068_2004-02-16_final
2004-03-17 10:47:38	ga_ls7e_ard_3-0-0_106082_2004-03-17_final
2004-08-18 09:39:23	ga_ls7e_ard_3-0-0_096067_2004-08-18_final
2004-10-05 09:46:43	ga_ls7e_ard_3-1-0_096086_2004-10-05_final
2004-11-30 10:29:56	ga_ls7e_ard_3-0-0_104069_2004-11-30_final
2004-12-01 09:33:31	ga_ls7e_ard_3-0-0_095067_2004-12-01_final
2005-01-22 10:51:10	ga_ls7e_ard_3-0-0_107075_2005-01-22_final
2005-04-19 10:57:28	ga_ls7e_ard_3-1-0_108075_2005-04-19_final
2005-08-23 11:09:35	ga_ls7e_ard_3-0-0_110075_2005-08-23_final
2005-12-04 09:34:00	ga_ls7e_ard_3-0-0_095067_2005-12-04_final
2005-12-23 10:08:57	ga_ls7e_ard_3-0-0_100077_2005-12-23_final
2005-12-27 11:22:22	ga_ls7e_ard_3-0-0_112075_2005-12-27_final
2006-07-05 09:57:37	ga_ls7e_ard_3-0-0_098079_2006-07-05_final
2006-09-13 10:55:06	ga_ls7e_ard_3-0-0_108069_2006-09-13_final
2006-12-20 10:44:58	ga_ls7e_ard_3-0-0_106073_2006-12-20_final
2006-12-24 10:20:16	ga_ls7e_ard_3-0-0_102073_2006-12-24_final
2007-01-05 10:45:24	ga_ls7e_ard_3-0-0_106074_2007-01-05_final
2007-02-20 09:19:55	ga_ls7e_ard_3-0-0_092076_2007-02-19_final
2008-03-27 10:04:04	ga_ls7e_ard_3-0-0_099079_2008-03-27_final
2008-03-31 09:34:33	ga_ls7e_ard_3-0-0_095067_2008-03-31_final
2009-05-05 09:34:49	ga_ls7e_ard_3-0-0_095067_2009-05-05_final
2009-12-15 09:35:24	ga_ls7e_ard_3-0-0_095067_2009-12-15_final
2010-03-23 09:27:24	ga_ls7e_ard_3-0-0_093075_2010-03-22_final
2010-06-17 10:26:23	ga_ls7e_ard_3-0-0_103068_2010-06-17_final
2010-08-28 09:36:40	ga_ls7e_ard_3-0-0_095067_2010-08-28_final
2010-11-20 09:20:03	ga_ls7e_ard_3-1-0_091086_2010-11-19_final
2011-03-15 09:44:09	ga_ls7e_ard_3-0-0_096067_2011-03-15_final
2011-07-07 09:39:44	ga_ls7e_ard_3-0-0_094087_2011-07-07_final
2011-10-14 10:03:11	ga_ls7e_ard_3-0-0_099069_2011-10-14_final
2012-01-11 10:04:10	ga_ls7e_ard_3-0-0_098085_2012-01-11_final
2012-06-14 09:40:48	ga_ls7e_ard_3-0-0_095072_2012-06-14_final
2012-06-25 09:27:32	ga_ls7e_ard_3-0-0_092085_2012-06-24_final
2013-11-20 10:06:06	ga_ls7e_ard_3-0-0_099069_2013-11-20_final
2014-10-14 09:26:50	ga_ls7e_ard_3-0-0_091090_2014-10-13_final
2014-11-02 11:27:39	ga_ls7e_ard_3-0-0_112067_2014-11-02_final
2014-11-11 09:42:40	ga_ls7e_ard_3-0-0_095067_2014-11-11_final
2015-03-24 10:03:11	ga_ls7e_ard_3-0-0_098070_2015-03-24_final
2015-07-04 11:05:37	ga_ls7e_ard_3-0-0_108070_2015-07-04_final
2016-12-25 09:52:57	ga_ls7e_ard_3-0-0_096067_2016-12-25_final
2017-12-11 09:14:31	ga_ls7e_ard_3-0-0_089079_2017-12-10_final
2018-02-28 10:06:20	ga_ls7e_ard_3-0-0_098072_2018-02-28_final
2018-05-25 09:34:19	ga_ls7e_ard_3-0-0_092088_2018-05-25_final
2018-06-06 09:50:28	ga_ls7e_ard_3-0-0_096067_2018-06-06_final
2019-01-20 11:02:34	ga_ls7e_ard_3-1-0_108075_2019-01-20_final
2019-06-24 10:39:05	ga_ls7e_ard_3-0-0_105076_2019-06-24_final
2019-09-25 10:04:44	ga_ls7e_ard_3-1-0_100077_2019-09-25_final
2019-11-25 09:27:10	ga_ls7e_ard_3-1-0_095067_2019-11-24_final
2020-02-09 09:49:40	ga_ls7e_ard_3-1-0_099071_2020-02-09_final
2020-06-30 09:56:40	ga_ls7e_ard_3-1-0_101078_2020-06-30_final
2020-07-19 08:52:19	ga_ls7e_ard_3-1-0_090090_2020-07-18_final
2021-03-01 09:12:56	ga_ls7e_ard_3-2-0_097072_2021-02-28_final
2021-03-29 09:39:25	ga_ls7e_ard_3-2-0_101082_2021-03-29_final
2021-07-11 08:43:16	ga_ls7e_ard_3-2-0_093087_2021-07-10_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_2022-04-04_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

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