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
1999-07-18 10:00:08	ga_ls7e_ard_3-0-0_098078_1999-07-18_final
1999-11-26 10:32:12	ga_ls7e_ard_3-0-0_103081_1999-11-26_final
2000-07-13 11:27:08	ga_ls7e_ard_3-0-0_113067_2000-07-13_final
2000-08-12 10:01:49	ga_ls7e_ard_3-0-0_099071_2000-08-12_final
2001-01-31 10:29:56	ga_ls7e_ard_3-0-0_103081_2001-01-31_final
2001-03-04 10:26:11	ga_ls7e_ard_3-0-0_103072_2001-03-04_final
2001-03-08 10:00:16	ga_ls7e_ard_3-0-0_099069_2001-03-08_final
2001-05-08 11:07:08	ga_ls7e_ard_3-0-0_110067_2001-05-08_final
2003-01-04 11:20:36	ga_ls7e_ard_3-0-0_112074_2003-01-04_final
2003-05-01 10:04:41	ga_ls7e_ard_3-0-0_099084_2003-05-01_final
2003-08-27 11:02:30	ga_ls7e_ard_3-0-0_109075_2003-08-27_final
2003-09-29 10:05:29	ga_ls7e_ard_3-0-0_100072_2003-09-29_final
2004-01-21 11:30:50	ga_ls7e_ard_3-0-0_114067_2004-01-21_final
2004-05-16 09:35:00	ga_ls7e_ard_3-0-0_094086_2004-05-16_final
2004-09-25 10:44:11	ga_ls7e_ard_3-1-0_106075_2004-09-25_final
2005-08-18 09:16:59	ga_ls7e_ard_3-0-0_091087_2005-08-17_final
2005-08-20 10:39:06	ga_ls7e_ard_3-0-0_105076_2005-08-20_final
2005-09-10 10:59:26	ga_ls7e_ard_3-0-0_108081_2005-09-10_final
2006-01-03 11:25:25	ga_ls7e_ard_3-0-0_113067_2006-01-03_final
2006-01-12 11:22:07	ga_ls7e_ard_3-0-0_112074_2006-01-12_final
2006-04-04 09:36:16	ga_ls7e_ard_3-0-0_094087_2006-04-04_final
2007-04-13 10:36:32	ga_ls7e_ard_3-0-0_104082_2007-04-13_final
2007-06-03 11:04:23	ga_ls7e_ard_3-0-0_109075_2007-06-03_final
2008-11-18 10:25:02	ga_ls7e_ard_3-0-0_103072_2008-11-18_final
2011-08-14 09:00:32	ga_ls7e_ard_3-0-0_088082_2011-08-13_final
2011-10-08 10:45:24	ga_ls7e_ard_3-0-0_105082_2011-10-08_final
2012-05-28 09:01:15	ga_ls7e_ard_3-0-0_088081_2012-05-27_final
2012-07-09 11:14:36	ga_ls7e_ard_3-0-0_110074_2012-07-09_final
2012-08-23 09:10:07	ga_ls7e_ard_3-0-0_089086_2012-08-22_final
2013-01-15 09:48:43	ga_ls7e_ard_3-0-0_096072_2013-01-15_final
2013-04-13 10:36:26	ga_ls7e_ard_3-0-0_104068_2013-04-13_final
2013-08-25 11:40:49	ga_ls7e_ard_3-0-0_114076_2013-08-25_final
2014-05-06 10:18:55	ga_ls7e_ard_3-0-0_100083_2014-05-06_final
2014-05-25 09:13:28	ga_ls7e_ard_3-1-0_089089_2014-05-24_final
2014-12-01 09:25:38	ga_ls7e_ard_3-1-0_091086_2014-11-30_final
2015-04-11 11:28:40	ga_ls7e_ard_3-0-0_112067_2015-04-11_final
2015-04-18 11:39:16	ga_ls7e_ard_3-0-0_113078_2015-04-18_final
2015-11-03 10:09:48	ga_ls7e_ard_3-0-0_098083_2015-11-03_final
2015-12-11 11:09:03	ga_ls7e_ard_3-0-0_108075_2015-12-11_final
2016-08-06 10:28:30	ga_ls7e_ard_3-0-0_101078_2016-08-06_final
2016-08-28 11:31:09	ga_ls7e_ard_3-0-0_111080_2016-08-28_final
2017-05-19 10:42:20	ga_ls7e_ard_3-0-0_103082_2017-05-19_final
2017-06-02 10:54:45	ga_ls7e_ard_3-0-0_105082_2017-06-02_final
2018-01-17 11:09:53	ga_ls7e_ard_3-1-0_108075_2018-01-17_final
2018-01-18 11:54:19	ga_ls7e_ard_3-0-0_115078_2018-01-18_final
2018-07-17 11:25:59	ga_ls7e_ard_3-0-0_111076_2018-07-17_final
2018-07-19 11:12:47	ga_ls7e_ard_3-0-0_109074_2018-07-19_final
2018-10-09 09:23:01	ga_ls7e_ard_3-0-0_091082_2018-10-08_final
2018-10-28 09:55:05	ga_ls7e_ard_3-1-0_096086_2018-10-28_final
2019-01-19 10:18:09	ga_ls7e_ard_3-1-0_101072_2019-01-19_final
2019-03-13 10:37:02	ga_ls7e_ard_3-1-0_104077_2019-03-13_final
2019-04-19 09:19:25	ga_ls7e_ard_3-0-0_091087_2019-04-18_final
2019-07-08 10:50:31	ga_ls7e_ard_3-0-0_107075_2019-07-08_final
2019-11-12 10:02:17	ga_ls7e_ard_3-1-0_100076_2019-11-12_final
2019-11-30 09:46:40	ga_ls7e_ard_3-1-0_098070_2019-11-30_final
2020-03-05 09:46:57	ga_ls7e_ard_3-1-0_098083_2020-03-05_final
2020-04-04 09:57:15	ga_ls7e_ard_3-1-0_100082_2020-04-04_final
2020-04-06 09:39:35	ga_ls7e_ard_3-1-0_098069_2020-04-06_final
2020-05-23 10:38:22	ga_ls7e_ard_3-1-0_107084_2020-05-23_final
2020-05-31 09:46:04	ga_ls7e_ard_3-1-0_099078_2020-05-31_final
2020-06-09 09:35:23	ga_ls7e_ard_3-1-0_098068_2020-06-09_final
2020-07-22 10:53:08	ga_ls7e_ard_3-1-0_111068_2020-07-22_final
2020-10-20 09:49:08	ga_ls7e_ard_3-1-0_101077_2020-10-20_final
2020-11-11 09:12:34	ga_ls7e_ard_3-1-0_095082_2020-11-10_final
2021-04-29 10:29:38	ga_ls7e_ard_3-2-0_110075_2021-04-29_final
2021-07-21 09:15:54	ga_ls7e_ard_3-2-0_099078_2021-07-20_final
2021-10-10 09:48:51	ga_ls7e_ard_3-2-0_106070_2021-10-10_final
2021-10-20 10:23:50	ga_ls7e_ard_3-2-0_112067_2021-10-20_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