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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
1999-10-13 10:06:32	ga_ls7e_ard_3-0-0_099078_1999-10-13_final
2000-03-09 09:36:58	ga_ls7e_ard_3-0-0_095067_2000-03-09_final
2000-06-26 10:47:42	ga_ls7e_ard_3-0-0_106076_2000-06-26_final
2000-07-28 10:47:11	ga_ls7e_ard_3-0-0_106076_2000-07-28_final
2000-09-14 10:46:36	ga_ls7e_ard_3-0-0_106076_2000-09-14_final
2001-03-16 10:52:02	ga_ls7e_ard_3-0-0_107075_2001-03-16_final
2003-03-15 10:44:19	ga_ls7e_ard_3-1-0_106075_2003-03-15_final
2003-05-02 10:44:45	ga_ls7e_ard_3-0-0_106076_2003-05-02_final
2003-08-21 10:01:55	ga_ls7e_ard_3-0-0_099078_2003-08-21_final
2003-08-29 10:50:07	ga_ls7e_ard_3-0-0_107075_2003-08-29_final
2003-11-05 10:24:14	ga_ls7e_ard_3-0-0_103072_2003-11-05_final
2004-02-14 10:44:42	ga_ls7e_ard_3-1-0_106075_2004-02-14_final
2004-02-22 09:56:50	ga_ls7e_ard_3-0-0_098079_2004-02-22_final
2004-06-19 10:56:34	ga_ls7e_ard_3-0-0_108074_2004-06-19_final
2004-07-25 10:34:55	ga_ls7e_ard_3-0-0_104082_2004-07-25_final
2004-10-01 10:08:16	ga_ls7e_ard_3-0-0_100078_2004-10-01_final
2005-02-14 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-02-14_final
2005-03-04 10:45:16	ga_ls7e_ard_3-1-0_106075_2005-03-04_final
2005-03-20 10:45:17	ga_ls7e_ard_3-1-0_106075_2005-03-20_final
2005-05-10 09:41:12	ga_ls7e_ard_3-0-0_095085_2005-05-10_final
2005-06-15 10:51:12	ga_ls7e_ard_3-0-0_107075_2005-06-15_final
2005-09-03 09:16:51	ga_ls7e_ard_3-0-0_091087_2005-09-02_final
2005-12-25 09:54:13	ga_ls7e_ard_3-0-0_098071_2005-12-25_final
2006-01-05 11:15:04	ga_ls7e_ard_3-0-0_111072_2006-01-05_final
2006-03-17 09:40:41	ga_ls7e_ard_3-0-0_096067_2006-03-17_final
2006-09-29 10:54:59	ga_ls7e_ard_3-0-0_108069_2006-09-29_final
2006-10-08 10:51:07	ga_ls7e_ard_3-0-0_107075_2006-10-08_final
2006-12-02 10:55:38	ga_ls7e_ard_3-0-0_108069_2006-12-02_final
2007-02-04 10:55:55	ga_ls7e_ard_3-0-0_108069_2007-02-04_final
2007-03-25 09:59:40	ga_ls7e_ard_3-0-0_099067_2007-03-25_final
2007-05-12 10:04:18	ga_ls7e_ard_3-0-0_099079_2007-05-12_final
2007-12-23 10:43:07	ga_ls7e_ard_3-0-0_106068_2007-12-23_final
2008-01-08 10:43:09	ga_ls7e_ard_3-0-0_106068_2008-01-08_final
2008-06-07 10:49:35	ga_ls7e_ard_3-0-0_107070_2008-06-07_final
2008-08-06 09:33:38	ga_ls7e_ard_3-0-0_095067_2008-08-06_final
2009-02-21 09:40:33	ga_ls7e_ard_3-0-0_096067_2009-02-21_final
2009-05-12 11:22:42	ga_ls7e_ard_3-0-0_112074_2009-05-12_final
2009-07-29 11:36:04	ga_ls7e_ard_3-0-0_114077_2009-07-29_final
2009-09-25 10:36:09	ga_ls7e_ard_3-0-0_104082_2009-09-25_final
2009-10-31 10:09:42	ga_ls7e_ard_3-0-0_100077_2009-10-31_final
2010-01-22 09:03:20	ga_ls7e_ard_3-0-0_089078_2010-01-21_final
2010-01-29 10:44:30	ga_ls7e_ard_3-0-0_106068_2010-01-29_final
2010-04-02 10:03:20	ga_ls7e_ard_3-0-0_099072_2010-04-02_final
2010-07-19 10:31:39	ga_ls7e_ard_3-0-0_103081_2010-07-19_final
2010-11-01 10:21:00	ga_ls7e_ard_3-0-0_102069_2010-11-01_final
2011-08-22 11:28:03	ga_ls7e_ard_3-0-0_112080_2011-08-22_final
2011-09-07 09:43:55	ga_ls7e_ard_3-0-0_096067_2011-09-07_final
2012-04-25 11:36:20	ga_ls7e_ard_3-0-0_113083_2012-04-25_final
2012-05-08 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-07_final
2012-10-27 09:46:25	ga_ls7e_ard_3-0-0_096067_2012-10-27_final
2013-04-05 09:46:38	ga_ls7e_ard_3-0-0_096067_2013-04-05_final
2013-09-28 09:46:21	ga_ls7e_ard_3-0-0_096067_2013-09-28_final
2013-11-04 11:48:55	ga_ls7e_ard_3-0-0_115079_2013-11-04_final
2014-12-14 10:31:43	ga_ls7e_ard_3-0-0_102081_2014-12-14_final
2014-12-18 10:02:40	ga_ls7e_ard_3-0-0_098070_2014-12-18_final
2015-06-30 09:50:14	ga_ls7e_ard_3-0-0_096067_2015-06-30_final
2017-03-04 10:12:50	ga_ls7e_ard_3-0-0_099071_2017-03-04_final
2017-07-17 10:22:21	ga_ls7e_ard_3-0-0_100078_2017-07-17_final
2018-02-05 10:00:23	ga_ls7e_ard_3-0-0_097072_2018-02-05_final
2018-07-03 09:38:35	ga_ls7e_ard_3-0-0_093085_2018-07-03_final
2019-12-25 09:38:50	ga_ls7e_ard_3-1-0_097069_2019-12-25_final
2020-01-30 09:14:17	ga_ls7e_ard_3-1-0_093074_2020-01-29_final
2020-07-11 09:37:28	ga_ls7e_ard_3-1-0_098078_2020-07-11_final
2020-09-27 09:44:50	ga_ls7e_ard_3-1-0_100078_2020-09-27_final
2020-10-13 09:43:49	ga_ls7e_ard_3-1-0_100078_2020-10-13_final
2021-02-06 09:06:30	ga_ls7e_ard_3-2-0_096067_2021-02-05_final
2021-06-30 08:54:46	ga_ls7e_ard_3-2-0_096067_2021-06-29_final
2021-07-14 09:10:43	ga_ls7e_ard_3-2-0_098079_2021-07-13_final
2021-11-01 09:12:33	ga_ls7e_ard_3-2-0_100077_2021-10-31_final
2022-01-15 08:43:36	ga_ls7e_ard_3-2-1_097069_2022-01-14_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