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

88 results

Time (local)	Label
1999-11-14 10:04:01	ga_ls7e_ard_3-0-0_099072_1999-11-14_final
2000-04-06 10:05:33	ga_ls7e_ard_3-0-0_099077_2000-04-06_final
2000-07-11 10:01:49	ga_ls7e_ard_3-0-0_099070_2000-07-11_final
2001-03-05 11:09:27	ga_ls7e_ard_3-1-0_110072_2001-03-05_final
2001-07-14 10:02:52	ga_ls7e_ard_3-0-0_099078_2001-07-14_final
2001-12-14 09:58:23	ga_ls7e_ard_3-0-0_098084_2001-12-14_final
2002-07-15 10:13:50	ga_ls7e_ard_3-0-0_101077_2002-07-15_final
2002-11-15 09:52:05	ga_ls7e_ard_3-0-0_098070_2002-11-15_final
2003-10-21 11:12:11	ga_ls7e_ard_3-0-0_110084_2003-10-21_final
2003-11-04 11:24:39	ga_ls7e_ard_3-0-0_112084_2003-11-04_final
2003-12-18 10:08:06	ga_ls7e_ard_3-0-0_100077_2003-12-18_final
2003-12-20 09:55:22	ga_ls7e_ard_3-0-0_098076_2003-12-20_final
2004-01-16 11:12:14	ga_ls7e_ard_3-0-0_111067_2004-01-16_final
2004-03-23 10:08:59	ga_ls7e_ard_3-0-0_100078_2004-03-23_final
2004-04-28 09:41:20	ga_ls7e_ard_3-0-0_096071_2004-04-28_final
2005-09-11 10:02:12	ga_ls7e_ard_3-0-0_099077_2005-09-11_final
2006-01-01 10:00:52	ga_ls7e_ard_3-0-0_099072_2006-01-01_final
2006-06-19 09:56:55	ga_ls7e_ard_3-0-0_098077_2006-06-19_final
2006-07-22 10:39:32	ga_ls7e_ard_3-0-0_105076_2006-07-22_final
2006-09-05 10:09:18	ga_ls7e_ard_3-0-0_100078_2006-09-05_final
2006-11-10 09:57:36	ga_ls7e_ard_3-0-0_098079_2006-11-10_final
2007-01-02 10:14:30	ga_ls7e_ard_3-0-0_101074_2007-01-02_final
2007-01-13 09:54:22	ga_ls7e_ard_3-0-0_098070_2007-01-13_final
2007-03-01 09:16:10	ga_ls7e_ard_3-0-0_091082_2007-02-28_final
2007-03-29 09:39:44	ga_ls7e_ard_3-1-0_095079_2007-03-29_final
2007-04-04 10:37:08	ga_ls7e_ard_3-0-0_105068_2007-04-04_final
2007-06-10 09:36:28	ga_ls7e_ard_3-0-0_094087_2007-06-10_final
2007-11-27 10:09:30	ga_ls7e_ard_3-0-0_100077_2007-11-27_final
2008-01-01 09:06:27	ga_ls7e_ard_3-1-0_089089_2007-12-31_final
2008-01-07 10:04:16	ga_ls7e_ard_3-0-0_099079_2008-01-07_final
2008-01-09 09:51:07	ga_ls7e_ard_3-0-0_097077_2008-01-09_final
2008-03-05 09:02:17	ga_ls7e_ard_3-0-0_089079_2008-03-04_final
2008-04-07 11:22:24	ga_ls7e_ard_3-0-0_112074_2008-04-07_final
2008-06-03 09:36:39	ga_ls7e_ard_3-1-0_095073_2008-06-03_final
2008-06-16 10:42:31	ga_ls7e_ard_3-0-0_106068_2008-06-16_final
2008-09-13 10:38:44	ga_ls7e_ard_3-0-0_105076_2008-09-13_final
2008-09-28 09:56:07	ga_ls7e_ard_3-0-0_098078_2008-09-28_final
2009-07-03 10:56:19	ga_ls7e_ard_3-0-0_108070_2009-07-03_final
2010-05-21 09:14:00	ga_ls7e_ard_3-0-0_090088_2010-05-20_final
2010-05-24 09:38:55	ga_ls7e_ard_3-1-0_095073_2010-05-24_final
2010-11-22 09:08:55	ga_ls7e_ard_3-0-0_089089_2010-11-21_final
2010-11-28 10:03:36	ga_ls7e_ard_3-0-0_099071_2010-11-28_final
2011-03-24 09:37:58	ga_ls7e_ard_3-0-0_095067_2011-03-24_final
2011-08-07 10:32:52	ga_ls7e_ard_3-0-0_103081_2011-08-07_final
2011-09-05 10:03:28	ga_ls7e_ard_3-0-0_098085_2011-09-05_final
2012-02-27 10:54:18	ga_ls7e_ard_3-0-0_107071_2012-02-27_final
2012-04-17 09:08:58	ga_ls7e_ard_3-0-0_089086_2012-04-16_final
2012-05-06 11:17:40	ga_ls7e_ard_3-0-0_110082_2012-05-06_final
2012-05-08 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-07_final
2012-06-26 11:46:53	ga_ls7e_ard_3-0-0_115078_2012-06-26_final
2012-08-06 10:02:21	ga_ls7e_ard_3-0-0_098078_2012-08-06_final
2012-11-25 09:19:40	ga_ls7e_ard_3-0-0_091077_2012-11-24_final
2013-03-09 10:09:16	ga_ls7e_ard_3-0-0_099077_2013-03-09_final
2013-04-04 09:07:46	ga_ls7e_ard_3-0-0_089078_2013-04-03_final
2014-01-23 11:47:32	ga_ls7e_ard_3-0-0_115074_2014-01-23_final
2014-06-20 09:43:49	ga_ls7e_ard_3-0-0_095072_2014-06-20_final
2014-08-03 10:11:10	ga_ls7e_ard_3-0-0_099078_2014-08-03_final
2014-12-07 10:21:53	ga_ls7e_ard_3-0-0_101072_2014-12-07_final
2015-02-02 10:17:59	ga_ls7e_ard_3-0-0_100077_2015-02-02_final
2016-04-12 09:18:21	ga_ls7e_ard_3-0-0_089089_2016-04-11_final
2016-08-22 10:28:08	ga_ls7e_ard_3-0-0_101077_2016-08-22_final
2016-09-09 11:55:06	ga_ls7e_ard_3-0-0_115078_2016-09-09_final
2016-09-25 10:13:52	ga_ls7e_ard_3-0-0_099072_2016-09-25_final
2016-10-21 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-10-21_final
2017-01-27 10:37:04	ga_ls7e_ard_3-0-0_103070_2017-01-27_final
2017-04-02 11:21:21	ga_ls7e_ard_3-1-0_110072_2017-04-02_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2018-09-15 10:11:03	ga_ls7e_ard_3-0-0_099077_2018-09-15_final
2019-04-03 10:56:28	ga_ls7e_ard_3-0-0_107081_2019-04-03_final
2019-05-01 09:41:41	ga_ls7e_ard_3-0-0_095082_2019-05-01_final
2019-05-04 10:10:52	ga_ls7e_ard_3-0-0_100078_2019-05-04_final
2019-11-18 11:01:24	ga_ls7e_ard_3-1-0_110070_2019-11-18_final
2020-03-14 11:18:22	ga_ls7e_ard_3-1-0_113081_2020-03-14_final
2020-03-25 09:14:45	ga_ls7e_ard_3-1-0_094067_2020-03-24_final
2020-03-25 10:59:37	ga_ls7e_ard_3-1-0_110082_2020-03-25_final
2020-06-05 10:05:31	ga_ls7e_ard_3-1-0_102081_2020-06-05_final
2021-03-03 10:40:30	ga_ls7e_ard_3-2-0_111075_2021-03-03_final
2021-03-12 10:30:25	ga_ls7e_ard_3-2-0_110067_2021-03-12_final
2021-03-16 08:35:17	ga_ls7e_ard_3-2-0_090089_2021-03-15_final
2021-06-12 09:13:00	ga_ls7e_ard_3-2-0_098078_2021-06-11_final
2021-08-10 08:52:37	ga_ls7e_ard_3-2-0_095086_2021-08-09_final
2021-08-15 09:09:31	ga_ls7e_ard_3-2-0_098083_2021-08-14_final
2021-10-09 09:09:16	ga_ls7e_ard_3-2-0_099079_2021-10-08_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-01-23 09:32:16	ga_ls7e_ard_3-2-1_105069_2022-01-23_final
2022-02-08 07:55:23	ga_ls7e_ard_3-2-1_089078_2022-02-07_final
2022-02-23 08:49:30	ga_ls7e_ard_3-2-1_098078_2022-02-22_final
2022-02-23 08:51:54	ga_ls7e_ard_3-2-1_098084_2022-02-22_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