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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

53 results

Time (local)	Label
2000-04-17 09:42:52	ga_ls7e_ard_3-0-0_096067_2000-04-17_final
2000-08-07 09:41:41	ga_ls7e_ard_3-0-0_096067_2000-08-07_final
2001-02-15 11:24:17	ga_ls7e_ard_3-0-0_112078_2001-02-15_final
2001-03-03 09:40:55	ga_ls7e_ard_3-0-0_096067_2001-03-03_final
2002-01-29 10:05:42	ga_ls7e_ard_3-0-0_100071_2002-01-29_final
2002-08-29 09:38:34	ga_ls7e_ard_3-0-0_096067_2002-08-29_final
2002-11-17 09:38:36	ga_ls7e_ard_3-0-0_096067_2002-11-17_final
2003-02-17 10:07:59	ga_ls7e_ard_3-0-0_100077_2003-02-17_final
2004-01-07 09:39:30	ga_ls7e_ard_3-0-0_096067_2004-01-07_final
2004-01-11 10:56:52	ga_ls7e_ard_3-1-0_108075_2004-01-11_final
2004-03-21 10:22:32	ga_ls7e_ard_3-0-0_102081_2004-03-21_final
2004-08-06 10:56:21	ga_ls7e_ard_3-0-0_108074_2004-08-06_final
2004-08-18 09:39:23	ga_ls7e_ard_3-0-0_096067_2004-08-18_final
2004-08-22 10:54:20	ga_ls7e_ard_3-0-0_108069_2004-08-22_final
2004-12-21 10:51:01	ga_ls7e_ard_3-0-0_107075_2004-12-21_final
2005-03-30 09:40:15	ga_ls7e_ard_3-0-0_096067_2005-03-30_final
2005-05-01 09:40:10	ga_ls7e_ard_3-0-0_096067_2005-05-01_final
2006-06-02 10:51:49	ga_ls7e_ard_3-0-0_107075_2006-06-02_final
2006-12-18 10:55:44	ga_ls7e_ard_3-0-0_108069_2006-12-18_final
2007-03-20 09:41:07	ga_ls7e_ard_3-0-0_096067_2007-03-20_final
2008-01-23 09:59:52	ga_ls7e_ard_3-0-0_099068_2008-01-23_final
2008-02-29 10:23:28	ga_ls7e_ard_3-0-0_102081_2008-02-29_final
2008-06-15 10:03:15	ga_ls7e_ard_3-0-0_099078_2008-06-15_final
2009-02-21 09:40:33	ga_ls7e_ard_3-0-0_096067_2009-02-21_final
2009-09-13 10:09:28	ga_ls7e_ard_3-0-0_100077_2009-09-13_final
2010-02-09 10:31:17	ga_ls7e_ard_3-0-0_103081_2010-02-09_final
2010-12-09 09:43:34	ga_ls7e_ard_3-0-0_096067_2010-12-09_final
2011-04-13 09:20:29	ga_ls7e_ard_3-0-0_091085_2011-04-12_final
2011-08-18 10:12:42	ga_ls7e_ard_3-0-0_100077_2011-08-18_final
2011-12-02 09:14:49	ga_ls7e_ard_3-0-0_090086_2011-12-01_final
2012-02-19 10:04:52	ga_ls7e_ard_3-0-0_099071_2012-02-19_final
2012-03-01 09:44:43	ga_ls7e_ard_3-0-0_096067_2012-03-01_final
2012-10-22 11:09:56	ga_ls7e_ard_3-0-0_109075_2012-10-22_final
2015-01-31 10:31:55	ga_ls7e_ard_3-0-0_102081_2015-01-31_final
2016-01-06 11:43:20	ga_ls7e_ard_3-0-0_114067_2016-01-06_final
2016-01-29 10:12:30	ga_ls7e_ard_3-0-0_099071_2016-01-29_final
2016-03-21 09:46:32	ga_ls7e_ard_3-0-0_095067_2016-03-21_final
2017-01-11 10:41:14	ga_ls7e_ard_3-0-0_103080_2017-01-11_final
2017-06-03 09:53:09	ga_ls7e_ard_3-0-0_096067_2017-06-03_final
2018-03-04 11:23:38	ga_ls7e_ard_3-0-0_110080_2018-03-04_final
2018-07-24 09:49:34	ga_ls7e_ard_3-0-0_096067_2018-07-24_final
2019-12-02 09:33:01	ga_ls7e_ard_3-1-0_096067_2019-12-02_final
2020-05-25 10:22:42	ga_ls7e_ard_3-1-0_105076_2020-05-25_final
2020-08-03 09:37:50	ga_ls7e_ard_3-1-0_099067_2020-08-03_final
2020-08-04 08:50:32	ga_ls7e_ard_3-1-0_090088_2020-08-03_final
2020-08-17 09:55:17	ga_ls7e_ard_3-1-0_101082_2020-08-17_final
2020-12-25 09:30:53	ga_ls7e_ard_3-1-0_099074_2020-12-25_final
2021-04-11 09:01:27	ga_ls7e_ard_3-2-0_096067_2021-04-10_final
2021-05-07 09:41:56	ga_ls7e_ard_3-2-0_102081_2021-05-07_final
2021-06-10 09:27:31	ga_ls7e_ard_3-2-0_100083_2021-06-09_final
2021-06-22 09:50:51	ga_ls7e_ard_3-2-0_104082_2021-06-22_final
2021-10-20 08:44:57	ga_ls7e_ard_3-2-0_096067_2021-10-19_final
2022-01-30 09:38:33	ga_ls7e_ard_3-2-1_106071_2022-01-30_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