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

47 results

Time (local)	Label
2000-07-03 09:20:06	ga_ls7e_ard_3-0-0_091089_2000-07-02_final
2000-08-19 10:10:45	ga_ls7e_ard_3-0-0_100078_2000-08-19_final
2000-08-23 11:20:28	ga_ls7e_ard_3-0-0_112067_2000-08-23_final
2000-09-14 10:46:12	ga_ls7e_ard_3-1-0_106075_2000-09-14_final
2001-04-25 10:00:23	ga_ls7e_ard_3-0-0_099070_2001-04-25_final
2001-07-09 11:18:50	ga_ls7e_ard_3-0-0_112067_2001-07-09_final
2002-05-01 08:56:22	ga_ls7e_ard_3-0-0_088083_2002-04-30_final
2003-02-19 09:53:13	ga_ls7e_ard_3-0-0_098071_2003-02-19_final
2003-05-07 11:02:53	ga_ls7e_ard_3-0-0_109075_2003-05-07_final
2003-05-28 11:18:10	ga_ls7e_ard_3-0-0_112067_2003-05-28_final
2003-08-16 11:17:53	ga_ls7e_ard_3-0-0_112067_2003-08-16_final
2003-09-22 11:39:24	ga_ls7e_ard_3-0-0_115075_2003-09-22_final
2004-01-13 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-01-13_final
2004-02-23 09:00:25	ga_ls7e_ard_3-0-0_089077_2004-02-22_final
2004-12-06 09:58:53	ga_ls7e_ard_3-0-0_098084_2004-12-06_final
2004-12-14 10:44:46	ga_ls7e_ard_3-1-0_106075_2004-12-14_final
2005-01-06 10:51:08	ga_ls7e_ard_3-0-0_107075_2005-01-06_final
2006-01-03 09:47:44	ga_ls7e_ard_3-0-0_097070_2006-01-03_final
2006-04-23 11:42:01	ga_ls7e_ard_3-1-0_115077_2006-04-23_final
2006-10-09 09:53:07	ga_ls7e_ard_3-0-0_098069_2006-10-09_final
2007-05-21 09:53:40	ga_ls7e_ard_3-0-0_098068_2007-05-21_final
2007-11-21 10:42:57	ga_ls7e_ard_3-0-0_106068_2007-11-21_final
2008-04-30 09:52:26	ga_ls7e_ard_3-0-0_097081_2008-04-30_final
2008-06-06 10:06:44	ga_ls7e_ard_3-0-0_100071_2008-06-06_final
2009-01-28 10:35:46	ga_ls7e_ard_3-0-0_104082_2009-01-28_final
2009-06-08 11:07:21	ga_ls7e_ard_3-0-0_109082_2009-06-08_final
2009-10-02 10:39:55	ga_ls7e_ard_3-0-0_105076_2009-10-02_final
2010-10-27 10:02:25	ga_ls7e_ard_3-0-0_099069_2010-10-27_final
2011-10-14 10:07:10	ga_ls7e_ard_3-0-0_099079_2011-10-14_final
2013-01-08 11:21:03	ga_ls7e_ard_3-0-0_111071_2013-01-08_final
2013-02-05 10:09:20	ga_ls7e_ard_3-0-0_099077_2013-02-05_final
2015-03-06 10:18:35	ga_ls7e_ard_3-0-0_100078_2015-03-06_final
2016-09-13 09:47:07	ga_ls7e_ard_3-0-0_095067_2016-09-13_final
2017-01-15 11:54:09	ga_ls7e_ard_3-0-0_115077_2017-01-15_final
2017-02-25 10:06:11	ga_ls7e_ard_3-0-0_098070_2017-02-25_final
2019-02-07 10:52:03	ga_ls7e_ard_3-0-0_106081_2019-02-07_final
2019-04-05 10:42:02	ga_ls7e_ard_3-0-0_105076_2019-04-05_final
2020-05-03 10:59:56	ga_ls7e_ard_3-1-0_111073_2020-05-03_final
2020-08-17 09:55:17	ga_ls7e_ard_3-1-0_101082_2020-08-17_final
2020-10-03 10:44:39	ga_ls7e_ard_3-1-0_110074_2020-10-03_final
2020-11-20 10:39:51	ga_ls7e_ard_3-1-0_110070_2020-11-20_final
2021-02-14 10:01:20	ga_ls7e_ard_3-2-0_104082_2021-02-14_final
2021-05-03 10:04:35	ga_ls7e_ard_3-2-0_106075_2021-05-03_final
2021-07-18 10:22:09	ga_ls7e_ard_3-2-0_110073_2021-07-18_final
2021-07-18 10:22:32	ga_ls7e_ard_3-2-0_110074_2021-07-18_final
2021-09-08 09:53:41	ga_ls7e_ard_3-2-0_106075_2021-09-08_final
2022-03-20 08:37:40	ga_ls7e_ard_3-2-1_097070_2022-03-19_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