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

49 results

Time (local)	Label
2000-07-11 10:04:37	ga_ls7e_ard_3-0-0_099077_2000-07-11_final
2000-12-17 10:57:58	ga_ls7e_ard_3-0-0_108074_2000-12-17_final
2002-02-13 11:03:50	ga_ls7e_ard_3-1-0_109077_2002-02-13_final
2002-05-31 09:10:54	ga_ls7e_ard_3-0-0_090089_2002-05-30_final
2003-02-05 09:45:59	ga_ls7e_ard_3-0-0_096084_2003-02-05_final
2003-03-10 10:24:35	ga_ls7e_ard_3-0-0_103072_2003-03-10_final
2003-12-16 10:17:15	ga_ls7e_ard_3-0-0_102069_2003-12-16_final
2005-03-18 10:57:39	ga_ls7e_ard_3-0-0_108075_2005-03-18_final
2006-02-02 10:01:08	ga_ls7e_ard_3-0-0_099072_2006-02-02_final
2006-03-11 10:23:21	ga_ls7e_ard_3-0-0_102081_2006-03-11_final
2006-11-05 11:15:29	ga_ls7e_ard_3-0-0_111073_2006-11-05_final
2007-02-20 09:24:42	ga_ls7e_ard_3-0-0_092088_2007-02-19_final
2008-01-10 10:36:22	ga_ls7e_ard_3-0-0_104082_2008-01-10_final
2008-03-19 10:49:54	ga_ls7e_ard_3-0-0_107070_2008-03-19_final
2008-08-29 11:18:32	ga_ls7e_ard_3-0-0_112067_2008-08-29_final
2009-02-11 10:45:03	ga_ls7e_ard_3-0-0_106074_2009-02-11_final
2009-03-16 11:25:49	ga_ls7e_ard_3-0-0_113067_2009-03-16_final
2009-04-13 10:17:48	ga_ls7e_ard_3-0-0_101082_2009-04-13_final
2009-07-31 11:19:43	ga_ls7e_ard_3-0-0_112067_2009-07-31_final
2009-09-18 10:29:35	ga_ls7e_ard_3-0-0_103081_2009-09-18_final
2009-12-29 11:26:54	ga_ls7e_ard_3-0-0_113067_2009-12-29_final
2010-07-01 10:40:00	ga_ls7e_ard_3-0-0_105071_2010-07-01_final
2010-11-14 09:54:16	ga_ls7e_ard_3-0-0_097079_2010-11-14_final
2011-06-02 10:43:24	ga_ls7e_ard_3-0-0_105076_2011-06-02_final
2011-10-09 11:22:41	ga_ls7e_ard_3-0-0_112067_2011-10-09_final
2012-09-11 09:33:38	ga_ls7e_ard_3-0-0_094067_2012-09-11_final
2012-10-27 11:25:18	ga_ls7e_ard_3-0-0_112067_2012-10-27_final
2012-10-28 10:35:16	ga_ls7e_ard_3-0-0_103081_2012-10-28_final
2013-03-01 10:56:18	ga_ls7e_ard_3-0-0_107071_2013-03-01_final
2013-09-01 10:09:00	ga_ls7e_ard_3-0-0_099078_2013-09-01_final
2014-01-12 10:29:45	ga_ls7e_ard_3-0-0_102081_2014-01-12_final
2015-01-16 11:11:05	ga_ls7e_ard_3-0-0_109071_2015-01-16_final
2015-01-19 11:44:22	ga_ls7e_ard_3-0-0_114077_2015-01-19_final
2015-03-03 11:24:34	ga_ls7e_ard_3-0-0_111073_2015-03-03_final
2015-06-12 10:03:21	ga_ls7e_ard_3-0-0_098069_2015-06-12_final
2015-06-30 11:29:07	ga_ls7e_ard_3-0-0_112067_2015-06-30_final
2015-10-13 09:44:34	ga_ls7e_ard_3-0-0_095067_2015-10-13_final
2017-06-01 11:44:23	ga_ls7e_ard_3-0-0_114067_2017-06-01_final
2018-05-03 11:42:15	ga_ls7e_ard_3-0-0_114067_2018-05-03_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-10-16 10:24:24	ga_ls7e_ard_3-1-0_103082_2019-10-16_final
2020-05-13 10:01:07	ga_ls7e_ard_3-1-0_101082_2020-05-13_final
2020-05-15 09:47:02	ga_ls7e_ard_3-1-0_099078_2020-05-15_final
2020-05-26 11:08:17	ga_ls7e_ard_3-1-0_112082_2020-05-26_final
2020-06-10 08:46:29	ga_ls7e_ard_3-1-0_089085_2020-06-09_final
2020-08-16 10:51:22	ga_ls7e_ard_3-1-0_110083_2020-08-16_final
2021-04-26 09:59:24	ga_ls7e_ard_3-2-0_105076_2021-04-26_final
2021-09-20 08:42:03	ga_ls7e_ard_3-2-0_094084_2021-09-19_final
2022-02-23 08:45:55	ga_ls7e_ard_3-2-1_098069_2022-02-22_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