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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

70 results

Time (local)	Label
1999-12-24 10:52:38	ga_ls7e_ard_3-0-0_107070_1999-12-24_final
2000-06-28 10:36:30	ga_ls7e_ard_3-0-0_104079_2000-06-28_final
2000-07-26 10:59:08	ga_ls7e_ard_3-1-0_108075_2000-07-26_final
2000-10-21 11:03:57	ga_ls7e_ard_3-0-0_109074_2000-10-21_final
2001-04-25 10:03:11	ga_ls7e_ard_3-0-0_099077_2001-04-25_final
2002-08-13 11:17:39	ga_ls7e_ard_3-0-0_112067_2002-08-13_final
2003-04-21 11:02:27	ga_ls7e_ard_3-0-0_109074_2003-04-21_final
2003-10-17 09:53:33	ga_ls7e_ard_3-0-0_098073_2003-10-17_final
2003-12-16 10:17:15	ga_ls7e_ard_3-0-0_102069_2003-12-16_final
2004-02-05 09:12:47	ga_ls7e_ard_3-0-0_091077_2004-02-04_final
2004-02-23 10:37:42	ga_ls7e_ard_3-0-0_105073_2004-02-23_final
2004-03-25 09:59:01	ga_ls7e_ard_3-0-0_098084_2004-03-25_final
2004-05-08 10:22:26	ga_ls7e_ard_3-0-0_102081_2004-05-08_final
2004-05-16 09:35:24	ga_ls7e_ard_3-0-0_094087_2004-05-16_final
2004-07-23 09:06:25	ga_ls7e_ard_3-0-0_090077_2004-07-22_final
2004-08-16 09:58:56	ga_ls7e_ard_3-0-0_098085_2004-08-16_final
2005-01-27 11:07:43	ga_ls7e_ard_3-0-0_110070_2005-01-27_final
2005-05-16 09:05:43	ga_ls7e_ard_3-0-0_089089_2005-05-15_final
2006-02-11 11:36:40	ga_ls7e_ard_3-0-0_114079_2006-02-11_final
2006-03-29 10:06:59	ga_ls7e_ard_3-0-0_100071_2006-03-29_final
2007-12-20 10:15:00	ga_ls7e_ard_3-1-0_101075_2007-12-20_final
2007-12-27 10:23:36	ga_ls7e_ard_3-0-0_102081_2007-12-27_final
2009-01-25 09:59:16	ga_ls7e_ard_3-0-0_099068_2009-01-25_final
2009-02-06 10:29:15	ga_ls7e_ard_3-0-0_103081_2009-02-06_final
2009-11-09 10:03:39	ga_ls7e_ard_3-0-0_099077_2009-11-09_final
2010-03-26 11:36:48	ga_ls7e_ard_3-0-0_114074_2010-03-26_final
2010-10-05 10:41:16	ga_ls7e_ard_3-0-0_105074_2010-10-05_final
2010-11-14 09:51:04	ga_ls7e_ard_3-0-0_097071_2010-11-14_final
2010-12-21 10:12:45	ga_ls7e_ard_3-0-0_100078_2010-12-21_final
2010-12-30 10:03:05	ga_ls7e_ard_3-0-0_099069_2010-12-30_final
2011-06-18 09:05:41	ga_ls7e_ard_3-0-0_089079_2011-06-17_final
2011-06-27 10:35:57	ga_ls7e_ard_3-0-0_104073_2011-06-27_final
2011-07-01 10:15:13	ga_ls7e_ard_3-0-0_100083_2011-07-01_final
2012-02-20 10:47:44	ga_ls7e_ard_3-0-0_106070_2012-02-20_final
2012-03-06 11:46:30	ga_ls7e_ard_3-0-0_115078_2012-03-06_final
2012-05-08 11:02:57	ga_ls7e_ard_3-0-0_108076_2012-05-08_final
2012-08-10 11:15:23	ga_ls7e_ard_3-0-0_110075_2012-08-10_final
2012-08-11 10:22:34	ga_ls7e_ard_3-0-0_101082_2012-08-11_final
2012-11-11 09:08:48	ga_ls7e_ard_3-1-0_089081_2012-11-10_final
2013-07-15 10:08:30	ga_ls7e_ard_3-0-0_099077_2013-07-15_final
2013-07-24 11:39:57	ga_ls7e_ard_3-0-0_114074_2013-07-24_final
2013-09-28 09:53:56	ga_ls7e_ard_3-1-0_096086_2013-09-28_final
2013-12-16 09:08:03	ga_ls7e_ard_3-0-0_089078_2013-12-15_final
2014-01-17 09:08:20	ga_ls7e_ard_3-0-0_089078_2014-01-16_final
2014-04-24 11:29:27	ga_ls7e_ard_3-0-0_112074_2014-04-24_final
2014-05-23 09:24:38	ga_ls7e_ard_3-1-0_091086_2014-05-22_final
2014-09-30 09:09:57	ga_ls7e_ard_3-0-0_089079_2014-09-29_final
2015-02-27 10:14:45	ga_ls7e_ard_3-0-0_099084_2015-02-27_final
2015-07-14 11:44:46	ga_ls7e_ard_3-0-0_114075_2015-07-14_final
2015-09-17 10:49:20	ga_ls7e_ard_3-0-0_105075_2015-09-17_final
2016-10-10 09:37:00	ga_ls7e_ard_3-0-0_092088_2016-10-10_final
2016-11-05 10:09:58	ga_ls7e_ard_3-0-0_098078_2016-11-05_final
2017-05-25 11:38:10	ga_ls7e_ard_3-0-0_113067_2017-05-25_final
2017-08-02 10:19:32	ga_ls7e_ard_3-0-0_100071_2017-08-02_final
2017-12-10 10:12:09	ga_ls7e_ard_3-0-0_098084_2017-12-10_final
2018-02-06 10:47:37	ga_ls7e_ard_3-0-0_104082_2018-02-06_final
2019-02-11 10:27:13	ga_ls7e_ard_3-0-0_102081_2019-02-11_final
2019-06-14 10:03:34	ga_ls7e_ard_3-0-0_099079_2019-06-14_final
2019-07-10 10:35:17	ga_ls7e_ard_3-0-0_105068_2019-07-10_final
2019-08-17 10:00:39	ga_ls7e_ard_3-0-0_099078_2019-08-17_final
2020-02-02 11:26:43	ga_ls7e_ard_3-1-0_114081_2020-02-02_final
2020-02-18 09:48:12	ga_ls7e_ard_3-1-0_098084_2020-02-18_final
2020-12-08 10:31:23	ga_ls7e_ard_3-1-0_108083_2020-12-08_final
2020-12-25 11:11:22	ga_ls7e_ard_3-1-0_115078_2020-12-25_final
2021-01-25 10:24:20	ga_ls7e_ard_3-2-0_108074_2021-01-25_final
2021-03-30 08:46:06	ga_ls7e_ard_3-2-0_092088_2021-03-29_final
2021-06-29 08:17:58	ga_ls7e_ard_3-2-0_089083_2021-06-28_final
2021-12-21 08:58:12	ga_ls7e_ard_3-2-1_098084_2021-12-20_final
2022-01-05 08:11:50	ga_ls7e_ard_3-2-1_091080_2022-01-04_final
2022-02-02 08:30:41	ga_ls7e_ard_3-2-1_095072_2022-02-01_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