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

57 results

Time (local)	Label
1999-10-26 09:31:06	ga_ls7e_ard_3-1-0_094067_1999-10-26_final
1999-11-06 10:55:27	ga_ls7e_ard_3-0-0_107077_1999-11-06_final
2001-02-07 10:30:49	ga_ls7e_ard_3-0-0_104068_2001-02-07_final
2001-03-12 09:34:43	ga_ls7e_ard_3-0-0_095067_2001-03-12_final
2001-03-24 10:00:07	ga_ls7e_ard_3-0-0_099069_2001-03-24_final
2001-10-18 10:03:24	ga_ls7e_ard_3-0-0_099082_2001-10-18_final
2001-11-14 09:39:04	ga_ls7e_ard_3-0-0_096067_2001-11-14_final
2002-02-23 09:58:25	ga_ls7e_ard_3-0-0_099068_2002-02-23_final
2002-11-27 10:21:28	ga_ls7e_ard_3-0-0_102081_2002-11-27_final
2003-05-01 10:04:41	ga_ls7e_ard_3-0-0_099084_2003-05-01_final
2003-10-07 09:17:12	ga_ls7e_ard_3-0-0_092075_2003-10-06_final
2004-10-10 10:01:37	ga_ls7e_ard_3-0-0_099077_2004-10-10_final
2004-11-05 09:03:24	ga_ls7e_ard_3-0-0_089085_2004-11-04_final
2004-12-10 09:27:24	ga_ls7e_ard_3-1-0_094067_2004-12-09_final
2005-03-30 09:40:15	ga_ls7e_ard_3-0-0_096067_2005-03-30_final
2005-05-10 11:15:18	ga_ls7e_ard_3-0-0_111073_2005-05-10_final
2005-12-24 09:16:08	ga_ls7e_ard_3-0-0_091084_2005-12-23_final
2006-02-04 09:53:58	ga_ls7e_ard_3-0-0_097085_2006-02-04_final
2007-05-07 09:48:35	ga_ls7e_ard_3-1-0_096086_2007-05-07_final
2007-11-01 09:28:13	ga_ls7e_ard_3-0-0_094067_2007-10-31_final
2008-08-02 11:42:03	ga_ls7e_ard_3-0-0_115079_2008-08-02_final
2009-07-21 09:12:35	ga_ls7e_ard_3-0-0_090089_2009-07-20_final
2009-09-22 10:03:16	ga_ls7e_ard_3-0-0_099077_2009-09-22_final
2010-01-27 09:20:44	ga_ls7e_ard_3-0-0_092075_2010-01-26_final
2010-02-15 09:49:53	ga_ls7e_ard_3-0-0_097070_2010-02-15_final
2010-03-12 11:27:58	ga_ls7e_ard_3-0-0_112083_2010-03-12_final
2010-05-22 11:27:46	ga_ls7e_ard_3-0-0_113067_2010-05-22_final
2010-09-04 09:48:27	ga_ls7e_ard_3-0-0_096081_2010-09-04_final
2011-03-29 10:01:20	ga_ls7e_ard_3-0-0_098079_2011-03-29_final
2011-04-20 09:23:51	ga_ls7e_ard_3-0-0_092078_2011-04-19_final
2012-06-14 09:41:36	ga_ls7e_ard_3-0-0_095074_2012-06-14_final
2012-06-23 09:32:42	ga_ls7e_ard_3-1-0_094067_2012-06-23_final
2013-03-02 09:59:53	ga_ls7e_ard_3-0-0_098069_2013-03-02_final
2013-06-25 10:33:26	ga_ls7e_ard_3-0-0_103077_2013-06-25_final
2013-09-03 11:37:57	ga_ls7e_ard_3-0-0_113084_2013-09-03_final
2014-04-06 11:38:49	ga_ls7e_ard_3-0-0_114067_2014-04-06_final
2015-09-15 09:26:48	ga_ls7e_ard_3-0-0_091085_2015-09-14_final
2015-12-21 10:06:12	ga_ls7e_ard_3-0-0_098072_2015-12-21_final
2016-01-26 09:39:59	ga_ls7e_ard_3-1-0_094067_2016-01-26_final
2016-02-16 10:03:02	ga_ls7e_ard_3-0-0_097078_2016-02-16_final
2016-04-06 11:27:52	ga_ls7e_ard_3-0-0_111073_2016-04-06_final
2016-07-11 09:46:58	ga_ls7e_ard_3-0-0_095067_2016-07-11_final
2017-03-22 09:59:46	ga_ls7e_ard_3-0-0_097069_2017-03-22_final
2017-03-31 11:31:43	ga_ls7e_ard_3-0-0_112067_2017-03-31_final
2017-09-25 09:40:49	ga_ls7e_ard_3-1-0_094067_2017-09-25_final
2018-06-06 09:50:28	ga_ls7e_ard_3-0-0_096067_2018-06-06_final
2019-05-06 11:37:43	ga_ls7e_ard_3-0-0_114079_2019-05-06_final
2019-08-01 09:58:08	ga_ls7e_ard_3-0-0_099070_2019-08-01_final
2020-03-10 10:02:02	ga_ls7e_ard_3-1-0_101075_2020-03-10_final
2020-06-11 11:06:34	ga_ls7e_ard_3-1-0_112080_2020-06-11_final
2020-07-20 09:28:44	ga_ls7e_ard_3-1-0_097073_2020-07-19_final
2020-08-13 08:39:47	ga_ls7e_ard_3-1-0_089078_2020-08-12_final
2020-10-05 08:57:17	ga_ls7e_ard_3-1-0_092084_2020-10-04_final
2020-12-30 09:47:30	ga_ls7e_ard_3-1-0_102070_2020-12-30_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-06-03 09:18:18	ga_ls7e_ard_3-2-0_099074_2021-06-02_final
2022-03-26 08:03:37	ga_ls7e_ard_3-2-1_091079_2022-03-25_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