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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

62 results

Time (local)	Label
2000-04-22 10:03:49	ga_ls7e_ard_3-0-0_099073_2000-04-22_final
2000-07-28 10:46:47	ga_ls7e_ard_3-1-0_106075_2000-07-28_final
2000-12-15 11:12:18	ga_ls7e_ard_3-0-0_110079_2000-12-15_final
2001-06-29 10:46:55	ga_ls7e_ard_3-0-0_106080_2001-06-29_final
2001-11-10 10:08:09	ga_ls7e_ard_3-0-0_100078_2001-11-10_final
2003-02-10 09:58:35	ga_ls7e_ard_3-0-0_099069_2003-02-10_final
2003-11-10 10:44:29	ga_ls7e_ard_3-0-0_106076_2003-11-10_final
2003-12-07 10:24:33	ga_ls7e_ard_3-0-0_103072_2003-12-07_final
2004-01-01 10:22:10	ga_ls7e_ard_3-0-0_102081_2004-01-01_final
2004-05-19 10:03:06	ga_ls7e_ard_3-0-0_099079_2004-05-19_final
2004-07-07 10:44:35	ga_ls7e_ard_3-1-0_106075_2004-07-07_final
2004-08-14 10:08:06	ga_ls7e_ard_3-0-0_100077_2004-08-14_final
2005-05-24 09:51:33	ga_ls7e_ard_3-0-0_097080_2005-05-24_final
2005-12-12 10:25:28	ga_ls7e_ard_3-0-0_103072_2005-12-12_final
2006-02-09 10:09:20	ga_ls7e_ard_3-0-0_100077_2006-02-09_final
2006-10-01 09:06:55	ga_ls7e_ard_3-0-0_090077_2006-09-30_final
2007-03-08 09:24:21	ga_ls7e_ard_3-0-0_092087_2007-03-07_final
2007-03-27 11:26:11	ga_ls7e_ard_3-0-0_113067_2007-03-27_final
2007-04-15 10:19:47	ga_ls7e_ard_3-0-0_102071_2007-04-15_final
2008-03-27 10:03:40	ga_ls7e_ard_3-0-0_099078_2008-03-27_final
2008-06-01 11:28:19	ga_ls7e_ard_3-0-0_113074_2008-06-01_final
2008-09-03 09:58:57	ga_ls7e_ard_3-0-0_099069_2008-09-03_final
2008-09-29 10:38:34	ga_ls7e_ard_3-0-0_105076_2008-09-29_final
2009-03-10 10:29:57	ga_ls7e_ard_3-0-0_103082_2009-03-10_final
2009-03-11 09:34:44	ga_ls7e_ard_3-1-0_094083_2009-03-11_final
2009-03-24 10:39:37	ga_ls7e_ard_3-0-0_105075_2009-03-24_final
2010-10-06 11:24:32	ga_ls7e_ard_3-0-0_112074_2010-10-06_final
2010-10-12 10:46:20	ga_ls7e_ard_3-0-0_106071_2010-10-12_final
2010-11-28 10:06:00	ga_ls7e_ard_3-0-0_099077_2010-11-28_final
2011-05-22 11:04:43	ga_ls7e_ard_3-0-0_108083_2011-05-22_final
2011-06-02 10:43:24	ga_ls7e_ard_3-0-0_105076_2011-06-02_final
2012-02-24 10:27:00	ga_ls7e_ard_3-0-0_102080_2012-02-24_final
2012-06-24 10:21:57	ga_ls7e_ard_3-0-0_101082_2012-06-24_final
2012-08-13 10:08:14	ga_ls7e_ard_3-0-0_099077_2012-08-13_final
2012-10-19 09:02:07	ga_ls7e_ard_3-0-0_088080_2012-10-18_final
2013-02-14 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-02-14_final
2014-03-09 11:20:42	ga_ls7e_ard_3-0-0_110084_2014-03-09_final
2014-04-13 10:10:10	ga_ls7e_ard_3-0-0_099077_2014-04-13_final
2014-07-02 10:11:01	ga_ls7e_ard_3-0-0_099078_2014-07-02_final
2014-09-20 10:06:51	ga_ls7e_ard_3-0-0_099067_2014-09-20_final
2014-12-20 09:56:42	ga_ls7e_ard_3-1-0_096086_2014-12-20_final
2015-06-26 10:19:18	ga_ls7e_ard_3-0-0_100078_2015-06-26_final
2015-11-25 11:10:47	ga_ls7e_ard_3-0-0_108080_2015-11-25_final
2016-09-14 10:34:46	ga_ls7e_ard_3-0-0_102078_2016-09-14_final
2017-02-20 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-20_final
2017-02-21 10:35:16	ga_ls7e_ard_3-0-0_102081_2017-02-21_final
2017-03-20 10:11:44	ga_ls7e_ard_3-0-0_099068_2017-03-20_final
2017-05-27 11:29:01	ga_ls7e_ard_3-0-0_111075_2017-05-27_final
2017-10-25 11:32:07	ga_ls7e_ard_3-0-0_112067_2017-10-25_final
2017-12-24 10:19:10	ga_ls7e_ard_3-0-0_100071_2017-12-24_final
2018-03-28 10:34:17	ga_ls7e_ard_3-0-0_102081_2018-03-28_final
2018-04-13 10:34:02	ga_ls7e_ard_3-0-0_102081_2018-04-13_final
2018-07-08 09:57:01	ga_ls7e_ard_3-0-0_096085_2018-07-08_final
2019-07-06 11:02:33	ga_ls7e_ard_3-0-0_109074_2019-07-06_final
2019-08-30 11:06:29	ga_ls7e_ard_3-1-0_110074_2019-08-30_final
2020-04-03 09:15:39	ga_ls7e_ard_3-1-0_093086_2020-04-02_final
2020-05-26 11:08:17	ga_ls7e_ard_3-1-0_112082_2020-05-26_final
2020-07-15 10:50:11	ga_ls7e_ard_3-1-0_110075_2020-07-15_final
2020-12-16 09:38:56	ga_ls7e_ard_3-1-0_100077_2020-12-16_final
2021-02-05 08:27:42	ga_ls7e_ard_3-2-0_089078_2021-02-04_final
2021-06-11 08:31:01	ga_ls7e_ard_3-2-0_091081_2021-06-10_final
2021-08-16 08:11:24	ga_ls7e_ard_3-2-0_089077_2021-08-15_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