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

50 results

Time (local)	Label
2000-03-16 11:25:38	ga_ls7e_ard_3-0-0_112076_2000-03-16_final
2002-03-12 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-03-12_final
2002-07-23 11:02:23	ga_ls7e_ard_3-0-0_109075_2002-07-23_final
2003-05-21 11:12:21	ga_ls7e_ard_3-0-0_111068_2003-05-21_final
2003-08-27 09:27:36	ga_ls7e_ard_3-0-0_093085_2003-08-26_final
2003-09-20 10:13:42	ga_ls7e_ard_3-0-0_101077_2003-09-20_final
2003-12-05 10:38:05	ga_ls7e_ard_3-0-0_105075_2003-12-05_final
2004-07-12 09:29:01	ga_ls7e_ard_3-1-0_093087_2004-07-11_final
2005-06-08 10:45:29	ga_ls7e_ard_3-0-0_106076_2005-06-08_final
2005-06-24 10:44:36	ga_ls7e_ard_3-0-0_106074_2005-06-24_final
2005-09-18 10:11:10	ga_ls7e_ard_3-0-0_100084_2005-09-18_final
2006-12-12 09:57:30	ga_ls7e_ard_3-0-0_098078_2006-12-12_final
2007-05-13 09:10:40	ga_ls7e_ard_3-0-0_090084_2007-05-12_final
2007-06-03 11:03:59	ga_ls7e_ard_3-0-0_109074_2007-06-03_final
2007-09-07 09:26:18	ga_ls7e_ard_3-0-0_093078_2007-09-06_final
2008-01-16 09:56:06	ga_ls7e_ard_3-0-0_098074_2008-01-16_final
2008-11-16 09:04:04	ga_ls7e_ard_3-0-0_089086_2008-11-15_final
2008-12-14 11:02:48	ga_ls7e_ard_3-0-0_109073_2008-12-14_final
2009-01-19 09:01:50	ga_ls7e_ard_3-0-0_089079_2009-01-18_final
2009-06-24 11:03:44	ga_ls7e_ard_3-0-0_109073_2009-06-24_final
2011-05-09 09:53:58	ga_ls7e_ard_3-1-0_097076_2011-05-09_final
2011-07-29 10:39:05	ga_ls7e_ard_3-0-0_104081_2011-07-29_final
2011-09-12 10:02:49	ga_ls7e_ard_3-0-0_099068_2011-09-12_final
2011-11-07 09:19:32	ga_ls7e_ard_3-0-0_091083_2011-11-06_final
2012-05-22 11:14:33	ga_ls7e_ard_3-0-0_110074_2012-05-22_final
2012-12-20 10:54:54	ga_ls7e_ard_3-0-0_106083_2012-12-20_final
2013-06-01 11:21:02	ga_ls7e_ard_3-0-0_111072_2013-06-01_final
2013-09-01 10:08:36	ga_ls7e_ard_3-0-0_099077_2013-09-01_final
2013-10-29 10:45:28	ga_ls7e_ard_3-0-0_105075_2013-10-29_final
2014-01-29 09:37:15	ga_ls7e_ard_3-0-0_093088_2014-01-29_final
2014-05-15 10:10:50	ga_ls7e_ard_3-0-0_099078_2014-05-15_final
2015-05-09 10:16:41	ga_ls7e_ard_3-0-0_100072_2015-05-09_final
2017-06-02 10:52:22	ga_ls7e_ard_3-0-0_105076_2017-06-02_final
2018-02-16 11:21:49	ga_ls7e_ard_3-0-0_110075_2018-02-16_final
2018-06-20 10:06:33	ga_ls7e_ard_3-0-0_098077_2018-06-20_final
2018-07-11 10:24:40	ga_ls7e_ard_3-0-0_101077_2018-07-11_final
2018-12-21 10:53:56	ga_ls7e_ard_3-0-0_106082_2018-12-21_final
2019-05-04 10:10:52	ga_ls7e_ard_3-0-0_100078_2019-05-04_final
2019-08-04 10:33:41	ga_ls7e_ard_3-0-0_104082_2019-08-04_final
2019-10-28 09:11:43	ga_ls7e_ard_3-1-0_091087_2019-10-27_final
2019-12-05 10:09:21	ga_ls7e_ard_3-1-0_101081_2019-12-05_final
2020-01-09 10:34:52	ga_ls7e_ard_3-1-0_106072_2020-01-09_final
2020-07-19 10:25:13	ga_ls7e_ard_3-1-0_106075_2020-07-19_final
2021-03-21 08:47:50	ga_ls7e_ard_3-2-0_093075_2021-03-20_final
2021-03-23 08:40:54	ga_ls7e_ard_3-2-0_091089_2021-03-22_final
2021-06-12 09:15:47	ga_ls7e_ard_3-2-0_098085_2021-06-11_final
2021-12-27 09:55:49	ga_ls7e_ard_3-2-1_108075_2021-12-27_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_2022-01-28_final
2022-04-02 09:46:25	ga_ls7e_ard_3-2-1_108075_2022-04-02_final
2022-04-05 10:16:37	ga_ls7e_ard_3-2-1_113074_2022-04-05_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years