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

71 results

Time (local)	Label
2000-01-01 10:05:31	ga_ls7e_ard_3-0-0_099076_2000-01-01_final
2000-06-25 10:07:39	ga_ls7e_ard_3-0-0_099084_2000-06-25_final
2000-09-28 09:24:41	ga_ls7e_ard_3-0-0_092088_2000-09-27_final
2001-01-29 09:02:14	ga_ls7e_ard_3-0-0_089078_2001-01-28_final
2001-04-05 10:29:29	ga_ls7e_ard_3-0-0_103081_2001-04-05_final
2001-08-14 09:23:30	ga_ls7e_ard_3-0-0_092089_2001-08-13_final
2001-08-31 09:59:01	ga_ls7e_ard_3-0-0_099070_2001-08-31_final
2001-10-03 09:05:45	ga_ls7e_ard_3-0-0_090077_2001-10-02_final
2003-03-14 11:41:08	ga_ls7e_ard_3-0-0_115078_2003-03-14_final
2003-12-05 09:03:36	ga_ls7e_ard_3-0-0_089086_2003-12-04_final
2004-02-05 09:12:47	ga_ls7e_ard_3-0-0_091077_2004-02-04_final
2004-07-23 09:06:25	ga_ls7e_ard_3-0-0_090077_2004-07-22_final
2004-12-01 09:35:55	ga_ls7e_ard_3-1-0_095073_2004-12-01_final
2005-06-08 10:45:29	ga_ls7e_ard_3-0-0_106076_2005-06-08_final
2005-08-31 10:22:28	ga_ls7e_ard_3-0-0_102081_2005-08-31_final
2005-09-27 09:59:00	ga_ls7e_ard_3-0-0_099069_2005-09-27_final
2005-10-12 09:18:08	ga_ls7e_ard_3-0-0_092075_2005-10-11_final
2006-07-12 11:41:01	ga_ls7e_ard_3-0-0_115075_2006-07-12_final
2006-08-13 10:02:24	ga_ls7e_ard_3-0-0_099076_2006-08-13_final
2006-11-13 10:29:20	ga_ls7e_ard_3-0-0_103081_2006-11-13_final
2006-11-21 11:15:41	ga_ls7e_ard_3-0-0_111073_2006-11-21_final
2006-12-28 09:57:09	ga_ls7e_ard_3-0-0_098077_2006-12-28_final
2007-05-12 09:59:55	ga_ls7e_ard_3-0-0_099068_2007-05-12_final
2007-07-15 10:03:19	ga_ls7e_ard_3-0-0_099077_2007-07-15_final
2008-01-28 10:23:36	ga_ls7e_ard_3-0-0_102081_2008-01-28_final
2008-01-30 10:07:38	ga_ls7e_ard_3-0-0_100072_2008-01-30_final
2008-02-29 10:23:28	ga_ls7e_ard_3-0-0_102081_2008-02-29_final
2008-03-19 10:53:30	ga_ls7e_ard_3-0-0_107079_2008-03-19_final
2008-04-04 10:54:42	ga_ls7e_ard_3-0-0_107082_2008-04-04_final
2008-07-15 10:16:52	ga_ls7e_ard_3-0-0_101082_2008-07-15_final
2008-09-22 08:55:58	ga_ls7e_ard_3-0-0_088082_2008-09-21_final
2008-10-19 10:16:37	ga_ls7e_ard_3-0-0_101083_2008-10-19_final
2008-12-08 09:58:57	ga_ls7e_ard_3-0-0_099068_2008-12-08_final
2009-05-03 11:32:27	ga_ls7e_ard_3-0-0_113083_2009-05-03_final
2009-05-17 10:04:21	ga_ls7e_ard_3-0-0_099079_2009-05-17_final
2009-07-04 10:01:06	ga_ls7e_ard_3-0-0_099071_2009-07-04_final
2009-07-20 10:00:38	ga_ls7e_ard_3-0-0_099070_2009-07-20_final
2009-07-24 09:34:41	ga_ls7e_ard_3-0-0_095067_2009-07-24_final
2010-04-12 09:03:56	ga_ls7e_ard_3-0-0_089078_2010-04-11_final
2010-10-21 09:04:33	ga_ls7e_ard_3-0-0_089079_2010-10-20_final
2011-04-18 09:34:13	ga_ls7e_ard_3-0-0_094073_2011-04-18_final
2012-04-21 10:17:15	ga_ls7e_ard_3-0-0_101071_2012-04-21_final
2012-09-14 10:09:21	ga_ls7e_ard_3-0-0_099079_2012-09-14_final
2012-12-29 10:45:34	ga_ls7e_ard_3-0-0_105075_2012-12-29_final
2013-01-26 11:09:55	ga_ls7e_ard_3-0-0_109074_2013-01-26_final
2013-04-11 09:13:31	ga_ls7e_ard_3-0-0_090077_2013-04-10_final
2013-07-24 11:39:57	ga_ls7e_ard_3-0-0_114074_2013-07-24_final
2013-11-03 11:04:02	ga_ls7e_ard_3-1-0_108075_2013-11-03_final
2014-02-08 10:10:00	ga_ls7e_ard_3-0-0_099077_2014-02-08_final
2014-08-03 10:07:34	ga_ls7e_ard_3-0-0_099069_2014-08-03_final
2015-04-13 11:16:19	ga_ls7e_ard_3-0-0_110067_2015-04-13_final
2015-05-15 11:16:33	ga_ls7e_ard_3-0-0_110067_2015-05-15_final
2016-02-02 11:27:30	ga_ls7e_ard_3-0-0_111073_2016-02-02_final
2016-05-26 11:18:35	ga_ls7e_ard_3-0-0_109080_2016-05-26_final
2016-08-16 11:07:34	ga_ls7e_ard_3-0-0_107083_2016-08-16_final
2017-04-28 10:21:43	ga_ls7e_ard_3-0-0_100077_2017-04-28_final
2017-07-01 10:21:57	ga_ls7e_ard_3-0-0_100077_2017-07-01_final
2017-11-06 10:19:56	ga_ls7e_ard_3-0-0_100072_2017-11-06_final
2018-03-14 10:18:07	ga_ls7e_ard_3-0-0_100071_2018-03-14_final
2018-04-07 09:34:44	ga_ls7e_ard_3-0-0_092087_2018-04-07_final
2018-08-04 11:12:54	ga_ls7e_ard_3-0-0_109075_2018-08-04_final
2018-09-02 10:44:13	ga_ls7e_ard_3-0-0_104082_2018-09-02_final
2018-12-10 09:31:07	ga_ls7e_ard_3-0-0_093075_2018-12-10_final
2019-03-26 10:03:19	ga_ls7e_ard_3-1-0_099071_2019-03-26_final
2019-07-10 10:35:17	ga_ls7e_ard_3-0-0_105068_2019-07-10_final
2019-10-20 11:36:48	ga_ls7e_ard_3-1-0_115078_2019-10-20_final
2019-11-16 11:19:27	ga_ls7e_ard_3-1-0_112084_2019-11-16_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-09-04 09:36:35	ga_ls7e_ard_3-1-0_099069_2020-09-04_final
2021-07-31 08:15:14	ga_ls7e_ard_3-2-0_089083_2021-07-30_final
2022-01-06 08:53:49	ga_ls7e_ard_3-2-1_098077_2022-01-05_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