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

44 results

Time (local)	Label
2000-11-25 09:55:17	ga_ls7e_ard_3-0-0_098072_2000-11-25_final
2002-10-14 09:55:01	ga_ls7e_ard_3-0-0_098078_2002-10-14_final
2003-09-22 10:04:07	ga_ls7e_ard_3-0-0_099084_2003-09-22_final
2003-12-28 10:42:05	ga_ls7e_ard_3-0-0_106069_2003-12-28_final
2004-05-19 10:03:06	ga_ls7e_ard_3-0-0_099079_2004-05-19_final
2004-08-06 09:23:27	ga_ls7e_ard_3-0-0_092089_2004-08-05_final
2005-11-14 11:40:41	ga_ls7e_ard_3-0-0_115075_2005-11-14_final
2005-12-26 09:05:48	ga_ls7e_ard_3-1-0_089089_2005-12-25_final
2006-02-04 09:53:58	ga_ls7e_ard_3-0-0_097085_2006-02-04_final
2006-02-27 09:54:14	ga_ls7e_ard_3-0-0_098070_2006-02-27_final
2007-04-03 09:54:17	ga_ls7e_ard_3-0-0_098069_2007-04-03_final
2007-08-17 10:48:24	ga_ls7e_ard_3-0-0_106082_2007-08-17_final
2008-01-27 11:15:14	ga_ls7e_ard_3-0-0_111071_2008-01-27_final
2008-05-14 10:03:31	ga_ls7e_ard_3-0-0_099078_2008-05-14_final
2008-08-02 10:02:22	ga_ls7e_ard_3-0-0_099077_2008-08-02_final
2009-05-12 11:22:42	ga_ls7e_ard_3-0-0_112074_2009-05-12_final
2010-01-17 10:24:48	ga_ls7e_ard_3-0-0_102081_2010-01-17_final
2010-11-03 10:14:14	ga_ls7e_ard_3-0-0_100083_2010-11-03_final
2010-11-28 11:44:29	ga_ls7e_ard_3-0-0_115076_2010-11-28_final
2011-03-04 10:04:16	ga_ls7e_ard_3-0-0_099071_2011-03-04_final
2011-05-03 10:29:28	ga_ls7e_ard_3-0-0_103072_2011-05-03_final
2011-06-16 09:22:03	ga_ls7e_ard_3-0-0_091089_2011-06-15_final
2011-11-18 10:39:37	ga_ls7e_ard_3-0-0_104082_2011-11-18_final
2012-06-12 11:36:25	ga_ls7e_ard_3-0-0_113083_2012-06-12_final
2012-11-17 10:09:29	ga_ls7e_ard_3-0-0_099078_2012-11-17_final
2014-02-12 11:22:06	ga_ls7e_ard_3-0-0_111072_2014-02-12_final
2015-06-19 10:13:08	ga_ls7e_ard_3-0-0_099078_2015-06-19_final
2015-08-13 10:19:08	ga_ls7e_ard_3-0-0_100077_2015-08-13_final
2015-10-29 09:46:49	ga_ls7e_ard_3-0-0_095072_2015-10-29_final
2015-12-28 10:11:16	ga_ls7e_ard_3-0-0_099069_2015-12-28_final
2017-01-20 10:32:09	ga_ls7e_ard_3-1-0_102073_2017-01-20_final
2017-10-11 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-10-11_final
2018-08-05 10:20:27	ga_ls7e_ard_3-0-0_100083_2018-08-05_final
2019-07-16 10:01:57	ga_ls7e_ard_3-0-0_099078_2019-07-16_final
2019-08-21 09:33:22	ga_ls7e_ard_3-0-0_095072_2019-08-21_final
2019-10-04 09:58:59	ga_ls7e_ard_3-1-0_099079_2019-10-04_final
2020-04-01 09:24:55	ga_ls7e_ard_3-1-0_095078_2020-03-31_final
2020-04-10 10:54:43	ga_ls7e_ard_3-1-0_110072_2020-04-10_final
2020-07-16 09:57:42	ga_ls7e_ard_3-1-0_101083_2020-07-16_final
2020-10-12 10:38:18	ga_ls7e_ard_3-1-0_109075_2020-10-12_final
2020-12-08 08:54:30	ga_ls7e_ard_3-1-0_092088_2020-12-07_final
2021-06-11 10:10:41	ga_ls7e_ard_3-2-0_107083_2021-06-11_final
2021-08-28 10:13:34	ga_ls7e_ard_3-2-0_109076_2021-08-28_final
2022-01-08 08:44:03	ga_ls7e_ard_3-2-1_096084_2022-01-07_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