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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
1999-08-06 10:32:21	ga_ls7e_ard_3-0-0_103081_1999-08-06_final
2000-03-03 10:18:06	ga_ls7e_ard_3-0-0_101077_2000-03-03_final
2000-05-05 09:33:15	ga_ls7e_ard_3-0-0_094074_2000-05-05_final
2000-05-30 09:32:22	ga_ls7e_ard_3-0-0_093088_2000-05-30_final
2000-07-21 09:03:29	ga_ls7e_ard_3-0-0_089079_2000-07-20_final
2002-02-16 09:57:01	ga_ls7e_ard_3-1-0_098080_2002-02-16_final
2002-05-30 09:58:09	ga_ls7e_ard_3-0-0_099068_2002-05-30_final
2002-07-07 11:02:33	ga_ls7e_ard_3-0-0_109075_2002-07-07_final
2003-10-17 09:51:57	ga_ls7e_ard_3-0-0_098069_2003-10-17_final
2005-07-25 10:03:20	ga_ls7e_ard_3-0-0_099079_2005-07-25_final
2005-08-20 09:01:25	ga_ls7e_ard_3-0-0_089079_2005-08-19_final
2006-04-09 09:47:36	ga_ls7e_ard_3-0-0_097069_2006-04-09_final
2006-05-09 10:03:35	ga_ls7e_ard_3-0-0_099078_2006-05-09_final
2006-07-30 09:51:39	ga_ls7e_ard_3-0-0_097080_2006-07-30_final
2006-09-30 09:59:45	ga_ls7e_ard_3-0-0_099070_2006-09-30_final
2006-10-16 10:03:48	ga_ls7e_ard_3-0-0_099080_2006-10-16_final
2007-01-11 10:09:07	ga_ls7e_ard_3-0-0_100076_2007-01-11_final
2007-04-16 11:07:49	ga_ls7e_ard_3-0-0_109083_2007-04-16_final
2008-07-01 11:41:58	ga_ls7e_ard_3-0-0_115078_2008-07-01_final
2009-05-03 11:26:04	ga_ls7e_ard_3-0-0_113067_2009-05-03_final
2009-12-11 10:01:38	ga_ls7e_ard_3-0-0_099071_2009-12-11_final
2010-01-14 09:55:27	ga_ls7e_ard_3-0-0_097085_2010-01-14_final
2010-03-20 08:59:17	ga_ls7e_ard_3-0-0_088082_2010-03-19_final
2010-11-30 11:32:32	ga_ls7e_ard_3-0-0_113077_2010-11-30_final
2011-03-22 09:51:31	ga_ls7e_ard_3-0-0_097070_2011-03-22_final
2011-05-01 10:43:25	ga_ls7e_ard_3-0-0_105076_2011-05-01_final
2012-01-11 09:58:11	ga_ls7e_ard_3-0-0_098070_2012-01-11_final
2012-05-02 09:57:49	ga_ls7e_ard_3-0-0_098068_2012-05-02_final
2012-05-19 09:08:01	ga_ls7e_ard_3-0-0_089082_2012-05-18_final
2012-10-19 09:02:54	ga_ls7e_ard_3-0-0_088082_2012-10-18_final
2013-10-03 10:08:33	ga_ls7e_ard_3-0-0_099076_2013-10-03_final
2013-10-28 10:03:24	ga_ls7e_ard_3-0-0_098078_2013-10-28_final
2014-01-05 10:23:55	ga_ls7e_ard_3-0-0_101082_2014-01-05_final
2014-03-10 10:22:41	ga_ls7e_ard_3-0-0_101078_2014-03-10_final
2014-09-24 09:44:57	ga_ls7e_ard_3-0-0_095074_2014-09-24_final
2014-11-24 09:18:59	ga_ls7e_ard_3-1-0_090085_2014-11-23_final
2015-09-23 11:51:58	ga_ls7e_ard_3-0-0_115077_2015-09-23_final
2015-12-20 09:26:07	ga_ls7e_ard_3-0-0_091080_2015-12-19_final
2016-02-02 11:27:06	ga_ls7e_ard_3-0-0_111072_2016-02-02_final
2016-02-19 10:30:44	ga_ls7e_ard_3-0-0_102070_2016-02-19_final
2016-05-04 11:54:47	ga_ls7e_ard_3-0-0_115078_2016-05-04_final
2016-11-16 11:32:13	ga_ls7e_ard_3-0-0_111083_2016-11-16_final
2016-11-22 09:15:50	ga_ls7e_ard_3-0-0_089082_2016-11-21_final
2016-12-08 09:16:59	ga_ls7e_ard_3-0-0_089085_2016-12-07_final
2017-09-23 11:38:26	ga_ls7e_ard_3-0-0_112083_2017-09-23_final
2018-08-20 11:13:00	ga_ls7e_ard_3-0-0_109076_2018-08-20_final
2018-09-23 09:25:49	ga_ls7e_ard_3-0-0_091088_2018-09-22_final
2019-06-28 10:15:01	ga_ls7e_ard_3-0-0_101078_2019-06-28_final
2020-10-06 11:16:34	ga_ls7e_ard_3-1-0_115077_2020-10-06_final
2020-10-06 11:16:58	ga_ls7e_ard_3-1-0_115078_2020-10-06_final
2020-12-31 10:35:52	ga_ls7e_ard_3-1-0_109083_2020-12-31_final
2021-11-16 10:06:44	ga_ls7e_ard_3-2-1_109077_2021-11-16_final
2022-03-27 08:43:12	ga_ls7e_ard_3-2-1_098070_2022-03-26_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