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
1999-07-27 11:34:53	ga_ls7e_ard_3-0-0_113083_1999-07-27_final
1999-09-08 09:31:08	ga_ls7e_ard_3-1-0_094067_1999-09-08_final
1999-12-23 10:10:35	ga_ls7e_ard_3-0-0_100073_1999-12-23_final
2000-01-02 10:51:35	ga_ls7e_ard_3-0-0_106083_2000-01-02_final
2000-04-10 09:39:10	ga_ls7e_ard_3-1-0_095073_2000-04-10_final
2000-06-11 09:49:26	ga_ls7e_ard_3-0-0_097069_2000-06-11_final
2000-11-10 10:40:07	ga_ls7e_ard_3-0-0_105076_2000-11-10_final
2000-12-20 09:47:59	ga_ls7e_ard_3-0-0_097069_2000-12-20_final
2001-06-12 10:00:20	ga_ls7e_ard_3-0-0_099071_2001-06-12_final
2002-11-15 11:29:47	ga_ls7e_ard_3-0-0_114067_2002-11-15_final
2003-03-05 10:05:38	ga_ls7e_ard_3-0-0_100071_2003-03-05_final
2003-12-21 10:38:38	ga_ls7e_ard_3-0-0_105076_2003-12-21_final
2004-03-13 09:27:28	ga_ls7e_ard_3-1-0_094067_2004-03-12_final
2004-07-25 10:34:55	ga_ls7e_ard_3-0-0_104082_2004-07-25_final
2004-12-01 09:35:55	ga_ls7e_ard_3-1-0_095073_2004-12-01_final
2005-02-18 10:35:38	ga_ls7e_ard_3-0-0_104082_2005-02-18_final
2005-04-17 09:27:46	ga_ls7e_ard_3-1-0_094067_2005-04-16_final
2006-04-09 11:32:05	ga_ls7e_ard_3-0-0_113083_2006-04-09_final
2006-05-14 10:23:19	ga_ls7e_ard_3-0-0_102081_2006-05-14_final
2006-07-15 10:35:48	ga_ls7e_ard_3-0-0_104082_2006-07-15_final
2006-12-22 10:33:01	ga_ls7e_ard_3-0-0_104074_2006-12-22_final
2008-02-24 10:05:45	ga_ls7e_ard_3-0-0_099083_2008-02-24_final
2008-07-14 09:27:38	ga_ls7e_ard_3-1-0_094067_2008-07-13_final
2008-12-24 10:00:41	ga_ls7e_ard_3-0-0_099072_2008-12-24_final
2009-04-06 10:07:12	ga_ls7e_ard_3-0-0_100071_2009-04-06_final
2009-08-13 10:50:20	ga_ls7e_ard_3-0-0_107071_2009-08-13_final
2009-11-03 09:01:45	ga_ls7e_ard_3-0-0_089077_2009-11-02_final
2009-11-05 10:29:54	ga_ls7e_ard_3-0-0_103081_2009-11-05_final
2010-09-12 10:35:55	ga_ls7e_ard_3-0-0_104076_2010-09-12_final
2011-03-01 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-03-01_final
2011-04-13 09:17:18	ga_ls7e_ard_3-0-0_091077_2011-04-12_final
2011-09-29 09:12:44	ga_ls7e_ard_3-0-0_090082_2011-09-28_final
2012-01-19 10:46:48	ga_ls7e_ard_3-0-0_106068_2012-01-19_final
2012-02-12 11:35:57	ga_ls7e_ard_3-0-0_114067_2012-02-12_final
2012-10-31 09:25:42	ga_ls7e_ard_3-0-0_092077_2012-10-30_final
2012-11-01 10:08:58	ga_ls7e_ard_3-0-0_099077_2012-11-01_final
2013-11-08 09:46:33	ga_ls7e_ard_3-0-0_095082_2013-11-08_final
2014-01-25 09:55:08	ga_ls7e_ard_3-0-0_097071_2014-01-25_final
2014-09-01 09:35:52	ga_ls7e_ard_3-1-0_094067_2014-09-01_final
2014-12-19 09:10:14	ga_ls7e_ard_3-0-0_089078_2014-12-18_final
2015-03-20 10:30:40	ga_ls7e_ard_3-0-0_102077_2015-03-20_final
2015-08-10 09:51:49	ga_ls7e_ard_3-0-0_095086_2015-08-10_final
2015-08-24 09:57:25	ga_ls7e_ard_3-0-0_097069_2015-08-24_final
2015-12-09 09:39:18	ga_ls7e_ard_3-1-0_094067_2015-12-09_final
2016-02-02 09:46:13	ga_ls7e_ard_3-0-0_095067_2016-02-02_final
2016-04-08 09:37:26	ga_ls7e_ard_3-0-0_093075_2016-04-08_final
2017-06-08 10:12:07	ga_ls7e_ard_3-0-0_099068_2017-06-08_final
2017-08-10 09:36:28	ga_ls7e_ard_3-0-0_092087_2017-08-10_final
2018-01-12 10:51:25	ga_ls7e_ard_3-0-0_105075_2018-01-12_final
2018-07-10 11:16:19	ga_ls7e_ard_3-0-0_110067_2018-07-10_final
2018-08-09 11:34:56	ga_ls7e_ard_3-0-0_112084_2018-08-09_final
2018-12-01 11:20:00	ga_ls7e_ard_3-0-0_110084_2018-12-01_final
2019-02-04 10:19:38	ga_ls7e_ard_3-0-0_101077_2019-02-04_final
2019-06-14 11:40:52	ga_ls7e_ard_3-0-0_115075_2019-06-14_final
2019-07-20 09:32:42	ga_ls7e_ard_3-0-0_095067_2019-07-20_final
2019-08-26 11:34:10	ga_ls7e_ard_3-1-0_114081_2019-08-26_final
2019-09-27 09:48:18	ga_ls7e_ard_3-1-0_098067_2019-09-27_final
2019-12-20 09:19:45	ga_ls7e_ard_3-1-0_094067_2019-12-19_final
2020-01-26 09:41:36	ga_ls7e_ard_3-1-0_097080_2020-01-26_final
2020-05-01 09:37:56	ga_ls7e_ard_3-1-0_097084_2020-05-01_final
2020-08-09 09:08:21	ga_ls7e_ard_3-1-0_093087_2020-08-08_final
2020-08-14 11:04:16	ga_ls7e_ard_3-1-0_112084_2020-08-14_final
2020-08-16 09:06:07	ga_ls7e_ard_3-1-0_094067_2020-08-15_final
2021-09-01 09:45:43	ga_ls7e_ard_3-2-0_105069_2021-09-01_final
2021-09-27 08:40:48	ga_ls7e_ard_3-2-0_095067_2021-09-26_final
2021-11-04 08:04:42	ga_ls7e_ard_3-2-0_089078_2021-11-03_final
2021-11-23 08:31:45	ga_ls7e_ard_3-2-1_094073_2021-11-22_final
2021-12-22 09:40:34	ga_ls7e_ard_3-2-1_105082_2021-12-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years