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
2002-01-15 09:52:55	ga_ls7e_ard_3-0-0_098070_2002-01-15_final
2002-01-22 09:59:11	ga_ls7e_ard_3-0-0_099070_2002-01-22_final
2003-04-02 08:55:27	ga_ls7e_ard_3-0-0_088081_2003-04-01_final
2004-07-28 11:03:48	ga_ls7e_ard_3-0-0_109077_2004-07-28_final
2004-10-01 10:07:52	ga_ls7e_ard_3-0-0_100077_2004-10-01_final
2005-01-18 09:35:48	ga_ls7e_ard_3-0-0_095072_2005-01-18_final
2005-03-13 09:02:37	ga_ls7e_ard_3-1-0_089081_2005-03-12_final
2005-04-29 09:57:43	ga_ls7e_ard_3-0-0_098080_2005-04-29_final
2005-09-25 10:14:57	ga_ls7e_ard_3-0-0_101078_2005-09-25_final
2005-12-05 10:22:51	ga_ls7e_ard_3-0-0_102081_2005-12-05_final
2005-12-13 11:07:56	ga_ls7e_ard_3-0-0_110070_2005-12-13_final
2007-01-06 11:28:40	ga_ls7e_ard_3-0-0_113074_2007-01-06_final
2007-01-13 11:36:26	ga_ls7e_ard_3-0-0_114078_2007-01-13_final
2007-12-31 09:54:53	ga_ls7e_ard_3-0-0_098071_2007-12-31_final
2009-02-26 10:03:08	ga_ls7e_ard_3-0-0_099077_2009-02-26_final
2009-07-04 10:03:29	ga_ls7e_ard_3-0-0_099077_2009-07-04_final
2009-07-20 10:04:13	ga_ls7e_ard_3-0-0_099079_2009-07-20_final
2009-08-05 10:03:20	ga_ls7e_ard_3-0-0_099077_2009-08-05_final
2009-09-21 10:56:06	ga_ls7e_ard_3-0-0_108070_2009-09-21_final
2009-12-20 11:38:30	ga_ls7e_ard_3-0-0_114081_2009-12-20_final
2010-01-06 10:37:59	ga_ls7e_ard_3-0-0_105068_2010-01-06_final
2010-01-08 10:27:15	ga_ls7e_ard_3-0-0_103072_2010-01-08_final
2011-02-03 10:39:25	ga_ls7e_ard_3-0-0_104082_2011-02-03_final
2011-09-03 10:15:03	ga_ls7e_ard_3-0-0_100083_2011-09-03_final
2011-12-25 10:57:42	ga_ls7e_ard_3-0-0_107080_2011-12-25_final
2012-12-07 09:42:24	ga_ls7e_ard_3-0-0_095072_2012-12-07_final
2013-04-01 10:15:45	ga_ls7e_ard_3-0-0_100078_2013-04-01_final
2013-04-26 10:09:02	ga_ls7e_ard_3-0-0_099077_2013-04-26_final
2013-07-19 09:39:46	ga_ls7e_ard_3-0-0_095067_2013-07-19_final
2013-12-23 10:49:58	ga_ls7e_ard_3-0-0_106070_2013-12-23_final
2015-02-05 09:13:12	ga_ls7e_ard_3-0-0_089085_2015-02-04_final
2015-04-16 10:09:09	ga_ls7e_ard_3-0-0_099069_2015-04-16_final
2015-05-08 09:38:36	ga_ls7e_ard_3-0-0_093085_2015-05-08_final
2015-08-23 09:22:32	ga_ls7e_ard_3-0-0_090090_2015-08-22_final
2015-08-27 10:33:06	ga_ls7e_ard_3-0-0_102081_2015-08-27_final
2018-01-22 11:26:45	ga_ls7e_ard_3-0-0_111071_2018-01-22_final
2018-12-04 10:05:58	ga_ls7e_ard_3-0-0_099069_2018-12-04_final
2019-03-30 11:17:44	ga_ls7e_ard_3-0-0_111072_2019-03-30_final
2019-08-08 10:07:13	ga_ls7e_ard_3-0-0_100078_2019-08-08_final
2019-10-07 10:30:58	ga_ls7e_ard_3-1-0_104082_2019-10-07_final
2020-02-02 09:48:38	ga_ls7e_ard_3-1-0_098083_2020-02-02_final
2020-02-16 09:55:53	ga_ls7e_ard_3-1-0_100072_2020-02-16_final
2020-10-18 10:03:14	ga_ls7e_ard_3-1-0_103081_2020-10-18_final
2021-02-05 08:28:06	ga_ls7e_ard_3-2-0_089079_2021-02-04_final
2021-03-15 09:22:36	ga_ls7e_ard_3-2-0_099068_2021-03-14_final
2021-07-27 10:17:35	ga_ls7e_ard_3-2-0_109079_2021-07-27_final
2021-09-07 09:11:18	ga_ls7e_ard_3-2-0_099077_2021-09-06_final
2022-01-21 08:08:44	ga_ls7e_ard_3-2-1_091076_2022-01-20_final
2022-03-18 10:31:05	ga_ls7e_ard_3-2-1_115075_2022-03-18_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