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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

63 results

Time (local)	Label
1999-08-05 11:25:11	ga_ls7e_ard_3-0-0_112074_1999-08-05_final
1999-10-01 09:45:25	ga_ls7e_ard_3-0-0_095087_1999-10-01_final
2000-03-15 10:39:34	ga_ls7e_ard_3-0-0_105069_2000-03-15_final
2001-01-26 10:10:37	ga_ls7e_ard_3-0-0_100079_2001-01-26_final
2001-03-24 09:59:19	ga_ls7e_ard_3-0-0_099067_2001-03-24_final
2001-04-25 10:03:11	ga_ls7e_ard_3-0-0_099077_2001-04-25_final
2002-07-17 10:01:28	ga_ls7e_ard_3-0-0_099077_2002-07-17_final
2002-12-19 11:20:32	ga_ls7e_ard_3-0-0_112074_2002-12-19_final
2002-12-24 10:02:15	ga_ls7e_ard_3-0-0_099079_2002-12-24_final
2003-01-25 10:01:37	ga_ls7e_ard_3-0-0_099077_2003-01-25_final
2003-02-25 09:22:30	ga_ls7e_ard_3-0-0_092087_2003-02-24_final
2003-05-15 10:14:11	ga_ls7e_ard_3-0-0_101077_2003-05-15_final
2004-07-11 10:17:03	ga_ls7e_ard_3-0-0_102068_2004-07-11_final
2004-09-24 10:02:07	ga_ls7e_ard_3-0-0_099078_2004-09-24_final
2004-10-21 09:46:29	ga_ls7e_ard_3-0-0_096085_2004-10-21_final
2005-03-29 09:01:23	ga_ls7e_ard_3-0-0_089078_2005-03-28_final
2005-05-21 09:22:39	ga_ls7e_ard_3-0-0_092085_2005-05-20_final
2005-05-23 10:48:22	ga_ls7e_ard_3-0-0_106083_2005-05-23_final
2006-01-27 10:42:10	ga_ls7e_ard_3-0-0_105082_2006-01-27_final
2006-02-12 10:36:40	ga_ls7e_ard_3-0-0_105068_2006-02-12_final
2006-03-01 09:40:41	ga_ls7e_ard_3-0-0_096067_2006-03-01_final
2006-06-19 09:56:55	ga_ls7e_ard_3-0-0_098077_2006-06-19_final
2006-07-22 10:36:20	ga_ls7e_ard_3-0-0_105068_2006-07-22_final
2007-07-19 09:36:35	ga_ls7e_ard_3-0-0_095072_2007-07-19_final
2007-09-28 09:40:21	ga_ls7e_ard_3-0-0_096067_2007-09-28_final
2008-07-07 09:25:08	ga_ls7e_ard_3-0-0_093076_2008-07-06_final
2009-02-26 09:59:56	ga_ls7e_ard_3-0-0_099069_2009-02-26_final
2009-04-15 10:00:40	ga_ls7e_ard_3-0-0_099070_2009-04-15_final
2009-10-12 11:19:45	ga_ls7e_ard_3-0-0_111083_2009-10-12_final
2011-02-24 09:21:58	ga_ls7e_ard_3-0-0_091089_2011-02-23_final
2011-03-22 09:51:31	ga_ls7e_ard_3-0-0_097070_2011-03-22_final
2011-08-20 09:56:21	ga_ls7e_ard_3-0-0_098067_2011-08-20_final
2011-11-18 10:39:37	ga_ls7e_ard_3-0-0_104082_2011-11-18_final
2011-12-20 10:34:18	ga_ls7e_ard_3-0-0_104068_2011-12-20_final
2012-08-31 11:30:56	ga_ls7e_ard_3-0-0_113067_2012-08-31_final
2013-06-29 10:09:04	ga_ls7e_ard_3-0-0_099078_2013-06-29_final
2013-07-15 10:08:30	ga_ls7e_ard_3-0-0_099077_2013-07-15_final
2014-01-03 10:35:53	ga_ls7e_ard_3-0-0_103081_2014-01-03_final
2014-08-28 11:45:02	ga_ls7e_ard_3-0-0_114081_2014-08-28_final
2015-06-07 09:43:59	ga_ls7e_ard_3-0-0_095067_2015-06-07_final
2015-07-14 10:09:04	ga_ls7e_ard_3-0-0_098083_2015-07-14_final
2015-10-19 10:46:53	ga_ls7e_ard_3-0-0_105068_2015-10-19_final
2016-04-11 10:11:34	ga_ls7e_ard_3-0-0_098083_2016-04-11_final
2017-06-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-06-19_final
2017-08-15 09:47:01	ga_ls7e_ard_3-0-0_095067_2017-08-15_final
2018-02-12 10:05:41	ga_ls7e_ard_3-0-0_098070_2018-02-12_final
2018-04-15 10:22:02	ga_ls7e_ard_3-0-0_100082_2018-04-15_final
2018-05-02 09:28:55	ga_ls7e_ard_3-0-0_091089_2018-05-01_final
2018-07-03 09:38:35	ga_ls7e_ard_3-0-0_093085_2018-07-03_final
2018-07-29 10:10:01	ga_ls7e_ard_3-0-0_099072_2018-07-29_final
2019-01-30 11:40:07	ga_ls7e_ard_3-0-0_114077_2019-01-30_final
2019-06-30 10:03:23	ga_ls7e_ard_3-0-0_099080_2019-06-30_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-10-27 10:03:00	ga_ls7e_ard_3-1-0_100076_2019-10-27_final
2019-12-01 08:53:48	ga_ls7e_ard_3-1-0_089077_2019-11-30_final
2020-02-18 09:42:13	ga_ls7e_ard_3-1-0_098069_2020-02-18_final
2020-03-05 09:41:46	ga_ls7e_ard_3-1-0_098070_2020-03-05_final
2020-09-04 09:40:34	ga_ls7e_ard_3-1-0_099079_2020-09-04_final
2020-12-05 09:54:43	ga_ls7e_ard_3-1-0_103068_2020-12-05_final
2021-04-16 11:01:39	ga_ls7e_ard_3-2-0_115075_2021-04-16_final
2021-05-27 09:14:19	ga_ls7e_ard_3-2-0_098078_2021-05-26_final
2021-11-19 08:55:16	ga_ls7e_ard_3-2-1_098069_2021-11-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years