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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

64 results

Time (local)	Label
2000-04-10 09:38:46	ga_ls7e_ard_3-0-0_095072_2000-04-10_final
2001-08-06 10:08:21	ga_ls7e_ard_3-0-0_100077_2001-08-06_final
2002-11-15 09:52:05	ga_ls7e_ard_3-0-0_098070_2002-11-15_final
2002-11-28 11:01:57	ga_ls7e_ard_3-0-0_109074_2002-11-28_final
2003-05-17 10:04:37	ga_ls7e_ard_3-0-0_099084_2003-05-17_final
2003-09-23 10:43:47	ga_ls7e_ard_3-1-0_106075_2003-09-23_final
2003-12-24 11:08:22	ga_ls7e_ard_3-0-0_110073_2003-12-24_final
2004-01-02 09:20:58	ga_ls7e_ard_3-0-0_093067_2004-01-01_final
2004-01-26 10:16:07	ga_ls7e_ard_3-0-0_101081_2004-01-26_final
2004-03-23 10:06:11	ga_ls7e_ard_3-0-0_100071_2004-03-23_final
2004-04-18 10:41:55	ga_ls7e_ard_3-0-0_106068_2004-04-18_final
2004-08-24 10:44:22	ga_ls7e_ard_3-1-0_106075_2004-08-24_final
2004-09-27 08:55:44	ga_ls7e_ard_3-0-0_088082_2004-09-26_final
2005-08-19 09:52:15	ga_ls7e_ard_3-0-0_098067_2005-08-19_final
2005-09-06 11:18:37	ga_ls7e_ard_3-0-0_112067_2005-09-06_final
2005-10-12 09:23:43	ga_ls7e_ard_3-0-0_092089_2005-10-11_final
2006-07-29 09:11:59	ga_ls7e_ard_3-0-0_090089_2006-07-28_final
2006-09-27 11:08:33	ga_ls7e_ard_3-1-0_110072_2006-09-27_final
2007-04-05 09:43:07	ga_ls7e_ard_3-0-0_096072_2007-04-05_final
2007-12-21 09:20:59	ga_ls7e_ard_3-0-0_092079_2007-12-20_final
2010-09-16 10:10:47	ga_ls7e_ard_3-0-0_100075_2010-09-16_final
2010-12-18 09:43:26	ga_ls7e_ard_3-0-0_095082_2010-12-18_final
2011-12-23 11:11:14	ga_ls7e_ard_3-0-0_109083_2011-12-23_final
2012-02-05 09:52:27	ga_ls7e_ard_3-0-0_097071_2012-02-05_final
2012-04-24 10:51:27	ga_ls7e_ard_3-0-0_106079_2012-04-24_final
2013-08-08 09:21:41	ga_ls7e_ard_3-0-0_091084_2013-08-07_final
2013-08-16 11:48:06	ga_ls7e_ard_3-0-0_115079_2013-08-16_final
2013-11-14 09:07:54	ga_ls7e_ard_3-0-0_089078_2013-11-13_final
2014-01-29 11:10:33	ga_ls7e_ard_3-0-0_109074_2014-01-29_final
2014-04-22 10:01:19	ga_ls7e_ard_3-0-0_098070_2014-04-22_final
2014-05-09 09:10:34	ga_ls7e_ard_3-0-0_089082_2014-05-08_final
2014-06-28 10:31:44	ga_ls7e_ard_3-0-0_103068_2014-06-28_final
2014-07-21 10:37:59	ga_ls7e_ard_3-0-0_104068_2014-07-21_final
2015-01-07 11:21:39	ga_ls7e_ard_3-0-0_110082_2015-01-07_final
2015-01-27 10:53:49	ga_ls7e_ard_3-0-0_106074_2015-01-27_final
2015-02-03 09:23:34	ga_ls7e_ard_3-0-0_091080_2015-02-02_final
2015-09-27 09:46:46	ga_ls7e_ard_3-1-0_095073_2015-09-27_final
2016-02-28 10:29:00	ga_ls7e_ard_3-0-0_101081_2016-02-28_final
2016-06-16 09:55:56	ga_ls7e_ard_3-0-0_096074_2016-06-16_final
2016-08-16 09:27:06	ga_ls7e_ard_3-0-0_091079_2016-08-15_final
2017-04-17 10:39:48	ga_ls7e_ard_3-0-0_103076_2017-04-17_final
2017-05-14 10:21:47	ga_ls7e_ard_3-0-0_100077_2017-05-14_final
2017-05-22 11:08:51	ga_ls7e_ard_3-0-0_108071_2017-05-22_final
2017-10-18 11:28:43	ga_ls7e_ard_3-0-0_111074_2017-10-18_final
2018-09-14 11:03:54	ga_ls7e_ard_3-0-0_108070_2018-09-14_final
2018-10-08 10:14:41	ga_ls7e_ard_3-0-0_100072_2018-10-08_final
2018-11-08 11:10:24	ga_ls7e_ard_3-0-0_109074_2018-11-08_final
2019-01-20 11:00:35	ga_ls7e_ard_3-0-0_108070_2019-01-20_final
2019-02-28 11:07:33	ga_ls7e_ard_3-1-0_109075_2019-02-28_final
2019-07-08 10:48:55	ga_ls7e_ard_3-0-0_107071_2019-07-08_final
2019-11-05 09:57:13	ga_ls7e_ard_3-1-0_099078_2019-11-05_final
2019-11-17 10:22:35	ga_ls7e_ard_3-1-0_103081_2019-11-17_final
2020-02-01 10:39:07	ga_ls7e_ard_3-1-0_107070_2020-02-01_final
2020-04-26 10:54:34	ga_ls7e_ard_3-1-0_110074_2020-04-26_final
2020-06-18 11:07:09	ga_ls7e_ard_3-1-0_113067_2020-06-18_final
2020-07-12 08:42:11	ga_ls7e_ard_3-1-0_089079_2020-07-11_final
2020-09-10 10:39:58	ga_ls7e_ard_3-1-0_109074_2020-09-10_final
2020-11-06 08:56:46	ga_ls7e_ard_3-1-0_092088_2020-11-05_final
2020-11-23 09:32:28	ga_ls7e_ard_3-1-0_099072_2020-11-23_final
2020-12-16 09:40:08	ga_ls7e_ard_3-1-0_100080_2020-12-16_final
2020-12-23 09:42:35	ga_ls7e_ard_3-1-0_101072_2020-12-23_final
2021-02-11 09:26:40	ga_ls7e_ard_3-2-0_099072_2021-02-10_final
2021-03-28 10:30:20	ga_ls7e_ard_3-2-0_110070_2021-03-28_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_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