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

84 results

Time (local)	Label
1999-12-21 10:20:59	ga_ls7e_ard_3-0-0_102068_1999-12-21_final
2001-03-20 10:26:03	ga_ls7e_ard_3-0-0_103072_2001-03-20_final
2001-04-25 10:00:23	ga_ls7e_ard_3-0-0_099070_2001-04-25_final
2002-01-04 10:12:56	ga_ls7e_ard_3-0-0_101074_2002-01-04_final
2002-03-27 10:01:56	ga_ls7e_ard_3-0-0_099077_2002-03-27_final
2002-05-15 10:44:18	ga_ls7e_ard_3-1-0_106075_2002-05-15_final
2002-06-30 10:56:23	ga_ls7e_ard_3-0-0_108075_2002-06-30_final
2002-08-04 11:29:26	ga_ls7e_ard_3-0-0_113081_2002-08-04_final
2002-08-14 10:27:37	ga_ls7e_ard_3-1-0_103081_2002-08-14_final
2003-04-17 09:52:42	ga_ls7e_ard_3-0-0_097085_2003-04-17_final
2003-05-15 10:14:11	ga_ls7e_ard_3-0-0_101077_2003-05-15_final
2004-01-28 10:02:11	ga_ls7e_ard_3-1-0_099077_2004-01-28_final
2004-02-02 10:19:09	ga_ls7e_ard_3-0-0_102073_2004-02-02_final
2004-12-06 09:53:18	ga_ls7e_ard_3-0-0_098070_2004-12-06_final
2005-01-03 10:22:37	ga_ls7e_ard_3-0-0_102081_2005-01-03_final
2005-02-05 11:01:38	ga_ls7e_ard_3-0-0_109070_2005-02-05_final
2005-04-28 10:51:44	ga_ls7e_ard_3-0-0_107076_2005-04-28_final
2005-07-27 09:46:59	ga_ls7e_ard_3-0-0_097069_2005-07-27_final
2005-11-24 10:38:57	ga_ls7e_ard_3-0-0_105075_2005-11-24_final
2006-06-10 10:00:45	ga_ls7e_ard_3-0-0_099071_2006-06-10_final
2006-07-08 10:26:30	ga_ls7e_ard_3-0-0_103074_2006-07-08_final
2006-07-22 10:36:20	ga_ls7e_ard_3-0-0_105068_2006-07-22_final
2006-12-13 10:39:34	ga_ls7e_ard_3-0-0_105075_2006-12-13_final
2006-12-13 10:39:58	ga_ls7e_ard_3-0-0_105076_2006-12-13_final
2007-02-28 10:07:23	ga_ls7e_ard_3-0-0_100071_2007-02-28_final
2008-01-25 09:48:18	ga_ls7e_ard_3-0-0_097070_2008-01-25_final
2008-08-18 09:59:52	ga_ls7e_ard_3-0-0_099071_2008-08-18_final
2008-10-05 10:02:37	ga_ls7e_ard_3-0-0_099079_2008-10-05_final
2008-10-13 09:15:30	ga_ls7e_ard_3-0-0_091085_2008-10-12_final
2009-12-25 10:18:39	ga_ls7e_ard_3-0-0_101082_2009-12-25_final
2009-12-30 10:33:17	ga_ls7e_ard_3-0-0_104072_2009-12-30_final
2010-02-23 09:03:42	ga_ls7e_ard_3-0-0_089078_2010-02-22_final
2010-03-08 10:09:00	ga_ls7e_ard_3-1-0_100071_2010-03-08_final
2010-03-16 09:26:23	ga_ls7e_ard_3-0-0_092088_2010-03-15_final
2010-03-18 09:09:39	ga_ls7e_ard_3-0-0_090077_2010-03-17_final
2010-04-18 10:04:32	ga_ls7e_ard_3-0-0_099075_2010-04-18_final
2010-04-27 10:01:32	ga_ls7e_ard_3-0-0_098083_2010-04-27_final
2010-05-22 11:30:33	ga_ls7e_ard_3-0-0_113074_2010-05-22_final
2010-07-29 11:09:08	ga_ls7e_ard_3-0-0_109082_2010-07-29_final
2010-11-14 09:50:16	ga_ls7e_ard_3-0-0_097069_2010-11-14_final
2011-07-16 11:09:38	ga_ls7e_ard_3-0-0_109080_2011-07-16_final
2011-07-17 10:10:25	ga_ls7e_ard_3-0-0_100071_2011-07-17_final
2011-10-22 09:19:49	ga_ls7e_ard_3-0-0_091084_2011-10-21_final
2011-11-14 09:27:48	ga_ls7e_ard_3-0-0_092088_2011-11-13_final
2011-12-13 10:33:12	ga_ls7e_ard_3-0-0_103081_2011-12-13_final
2012-03-07 09:11:35	ga_ls7e_ard_3-0-0_090077_2012-03-06_final
2012-05-29 09:46:05	ga_ls7e_ard_3-0-0_095085_2012-05-29_final
2012-12-15 10:35:31	ga_ls7e_ard_3-0-0_103081_2012-12-15_final
2013-03-06 11:14:27	ga_ls7e_ard_3-0-0_110070_2013-03-06_final
2013-07-15 10:08:30	ga_ls7e_ard_3-0-0_099077_2013-07-15_final
2013-10-03 10:09:21	ga_ls7e_ard_3-0-0_099078_2013-10-03_final
2013-11-04 11:48:55	ga_ls7e_ard_3-0-0_115079_2013-11-04_final
2014-08-04 09:20:20	ga_ls7e_ard_3-0-0_090090_2014-08-03_final
2015-07-25 09:44:10	ga_ls7e_ard_3-0-0_095067_2015-07-25_final
2015-09-27 11:30:03	ga_ls7e_ard_3-0-0_111084_2015-09-27_final
2015-12-17 10:30:28	ga_ls7e_ard_3-0-0_102071_2015-12-17_final
2016-02-08 09:13:34	ga_ls7e_ard_3-0-0_089078_2016-02-07_final
2016-09-19 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-09-19_final
2016-10-22 10:00:53	ga_ls7e_ard_3-1-0_096086_2016-10-22_final
2017-04-09 09:48:42	ga_ls7e_ard_3-0-0_095072_2017-04-09_final
2017-05-02 11:34:43	ga_ls7e_ard_3-0-0_112074_2017-05-02_final
2017-05-28 10:32:36	ga_ls7e_ard_3-1-0_102073_2017-05-28_final
2017-06-25 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-06-24_final
2018-09-10 11:27:30	ga_ls7e_ard_3-0-0_112067_2018-09-10_final
2019-05-13 10:01:33	ga_ls7e_ard_3-0-0_099071_2019-05-13_final
2019-05-30 09:11:17	ga_ls7e_ard_3-0-0_090086_2019-05-29_final
2019-06-23 09:53:04	ga_ls7e_ard_3-0-0_098069_2019-06-23_final
2019-08-27 08:58:26	ga_ls7e_ard_3-1-0_089078_2019-08-26_final
2019-10-21 09:01:51	ga_ls7e_ard_3-1-0_090077_2019-10-20_final
2019-12-01 10:29:29	ga_ls7e_ard_3-1-0_105069_2019-12-01_final
2020-02-28 10:18:46	ga_ls7e_ard_3-1-0_104069_2020-02-28_final
2020-05-07 08:58:53	ga_ls7e_ard_3-1-0_091080_2020-05-06_final
2020-08-11 08:56:16	ga_ls7e_ard_3-1-0_091088_2020-08-10_final
2020-08-24 09:55:50	ga_ls7e_ard_3-1-0_102069_2020-08-24_final
2020-10-10 10:54:23	ga_ls7e_ard_3-1-0_111084_2020-10-10_final
2021-02-20 09:18:36	ga_ls7e_ard_3-2-0_098069_2021-02-19_final
2021-06-02 10:14:48	ga_ls7e_ard_3-2-0_108076_2021-06-02_final
2021-06-16 10:28:49	ga_ls7e_ard_3-2-0_110083_2021-06-16_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_final
2022-01-20 09:05:15	ga_ls7e_ard_3-2-1_100078_2022-01-19_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_final
2022-03-15 08:20:49	ga_ls7e_ard_3-2-1_094073_2022-03-14_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