Search ga_ls7e_ard_3 whole collection

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

68 results

Time (local)	Label
1999-08-05 09:43:30	ga_ls7e_ard_3-0-0_096067_1999-08-05_final
1999-09-06 09:43:31	ga_ls7e_ard_3-0-0_096067_1999-09-06_final
2000-06-15 09:31:53	ga_ls7e_ard_3-1-0_093087_2000-06-15_final
2000-12-22 09:34:51	ga_ls7e_ard_3-0-0_095067_2000-12-22_final
2001-02-01 11:07:36	ga_ls7e_ard_3-0-0_110067_2001-02-01_final
2001-03-26 09:47:44	ga_ls7e_ard_3-0-0_097069_2001-03-26_final
2001-07-06 09:16:38	ga_ls7e_ard_3-1-0_091086_2001-07-05_final
2001-10-31 11:06:35	ga_ls7e_ard_3-0-0_110070_2001-10-31_final
2002-01-17 09:39:22	ga_ls7e_ard_3-0-0_096067_2002-01-17_final
2002-04-29 09:06:19	ga_ls7e_ard_3-0-0_090077_2002-04-28_final
2002-07-05 09:32:50	ga_ls7e_ard_3-0-0_095067_2002-07-05_final
2002-09-28 09:54:41	ga_ls7e_ard_3-0-0_098077_2002-09-28_final
2002-11-25 10:28:37	ga_ls7e_ard_3-0-0_104068_2002-11-25_final
2002-11-29 10:07:32	ga_ls7e_ard_3-0-0_100077_2002-11-29_final
2002-12-23 09:17:23	ga_ls7e_ard_3-0-0_092075_2002-12-22_final
2003-03-09 09:46:55	ga_ls7e_ard_3-1-0_096086_2003-03-09_final
2003-03-21 10:07:59	ga_ls7e_ard_3-0-0_100077_2003-03-21_final
2004-05-02 09:23:25	ga_ls7e_ard_3-0-0_092088_2004-05-01_final
2004-06-11 10:08:21	ga_ls7e_ard_3-0-0_100077_2004-06-11_final
2004-10-21 09:39:18	ga_ls7e_ard_3-0-0_096067_2004-10-21_final
2004-11-03 09:16:57	ga_ls7e_ard_3-0-0_091088_2004-11-02_final
2004-11-12 10:47:43	ga_ls7e_ard_3-0-0_106083_2004-11-12_final
2004-11-20 11:30:49	ga_ls7e_ard_3-0-0_114067_2004-11-20_final
2005-03-10 10:09:00	ga_ls7e_ard_3-0-0_100077_2005-03-10_final
2005-03-13 09:02:37	ga_ls7e_ard_3-1-0_089081_2005-03-12_final
2005-05-27 10:17:39	ga_ls7e_ard_3-0-0_102068_2005-05-27_final
2005-07-04 09:40:00	ga_ls7e_ard_3-0-0_096067_2005-07-04_final
2006-01-28 11:19:27	ga_ls7e_ard_3-0-0_112067_2006-01-28_final
2006-02-26 09:16:10	ga_ls7e_ard_3-0-0_091083_2006-02-25_final
2006-03-22 10:01:13	ga_ls7e_ard_3-0-0_099072_2006-03-22_final
2006-08-08 09:40:16	ga_ls7e_ard_3-0-0_096067_2006-08-08_final
2007-10-05 09:47:12	ga_ls7e_ard_3-0-0_097069_2007-10-05_final
2007-12-06 10:00:59	ga_ls7e_ard_3-0-0_099071_2007-12-06_final
2008-01-27 09:34:45	ga_ls7e_ard_3-0-0_095067_2008-01-27_final
2008-02-07 09:19:22	ga_ls7e_ard_3-0-0_092075_2008-02-06_final
2008-10-05 09:58:14	ga_ls7e_ard_3-0-0_099068_2008-10-05_final
2008-11-13 10:08:25	ga_ls7e_ard_3-0-0_100077_2008-11-13_final
2009-02-19 10:00:05	ga_ls7e_ard_3-0-0_098085_2009-02-19_final
2009-10-09 09:11:07	ga_ls7e_ard_3-0-0_090086_2009-10-08_final
2010-01-31 10:37:45	ga_ls7e_ard_3-0-0_104082_2010-01-31_final
2010-04-29 09:42:47	ga_ls7e_ard_3-0-0_096067_2010-04-29_final
2010-08-15 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-08-15_final
2010-09-13 09:36:42	ga_ls7e_ard_3-0-0_095067_2010-09-13_final
2010-10-11 10:05:27	ga_ls7e_ard_3-0-0_099077_2010-10-11_final
2011-03-27 10:12:53	ga_ls7e_ard_3-0-0_100077_2011-03-27_final
2011-12-05 09:38:10	ga_ls7e_ard_3-0-0_095067_2011-12-05_final
2012-02-11 09:22:35	ga_ls7e_ard_3-0-0_091089_2012-02-10_final
2012-03-31 11:35:57	ga_ls7e_ard_3-0-0_114067_2012-03-31_final
2013-01-25 10:29:51	ga_ls7e_ard_3-0-0_102082_2013-01-25_final
2014-06-27 09:48:04	ga_ls7e_ard_3-0-0_096067_2014-06-27_final
2015-05-26 11:03:37	ga_ls7e_ard_3-0-0_107081_2015-05-26_final
2015-08-14 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-13_final
2016-04-29 09:52:57	ga_ls7e_ard_3-0-0_096067_2016-04-29_final
2016-07-08 09:21:39	ga_ls7e_ard_3-0-0_090081_2016-07-07_final
2017-03-21 11:00:35	ga_ls7e_ard_3-0-0_106082_2017-03-21_final
2018-05-14 09:44:39	ga_ls7e_ard_3-0-0_095067_2018-05-14_final
2018-11-22 11:19:38	ga_ls7e_ard_3-0-0_111067_2018-11-22_final
2019-04-03 10:56:28	ga_ls7e_ard_3-0-0_107081_2019-04-03_final
2019-05-17 09:35:05	ga_ls7e_ard_3-0-0_095067_2019-05-17_final
2019-09-11 11:27:54	ga_ls7e_ard_3-1-0_114067_2019-09-11_final
2020-01-28 09:23:57	ga_ls7e_ard_3-1-0_095067_2020-01-27_final
2020-04-17 09:19:37	ga_ls7e_ard_3-1-0_095067_2020-04-16_final
2020-08-23 09:11:50	ga_ls7e_ard_3-1-0_095067_2020-08-22_final
2021-01-14 09:01:59	ga_ls7e_ard_3-1-0_095067_2021-01-13_final
2021-03-13 09:40:42	ga_ls7e_ard_3-2-0_101082_2021-03-13_final
2021-12-20 09:48:44	ga_ls7e_ard_3-2-1_107071_2021-12-20_final
2022-01-05 08:13:50	ga_ls7e_ard_3-2-1_091085_2022-01-04_final
2022-02-11 08:23:35	ga_ls7e_ard_3-2-1_094072_2022-02-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years