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

46 results

Time (local)	Label
1999-11-14 10:04:01	ga_ls7e_ard_3-0-0_099072_1999-11-14_final
2001-02-22 09:53:56	ga_ls7e_ard_3-0-0_097084_2001-02-22_final
2001-12-31 09:05:05	ga_ls7e_ard_3-0-0_089090_2001-12-30_final
2002-07-18 10:47:06	ga_ls7e_ard_3-0-0_106083_2002-07-18_final
2003-08-10 10:18:51	ga_ls7e_ard_3-0-0_102074_2003-08-10_final
2003-12-08 11:09:01	ga_ls7e_ard_3-0-0_110075_2003-12-08_final
2004-01-10 10:12:48	ga_ls7e_ard_3-0-0_101073_2004-01-10_final
2004-06-10 09:24:18	ga_ls7e_ard_3-0-0_093075_2004-06-09_final
2004-08-22 09:23:02	ga_ls7e_ard_3-0-0_092088_2004-08-21_final
2004-10-07 11:08:47	ga_ls7e_ard_3-0-0_110075_2004-10-07_final
2004-12-13 10:02:18	ga_ls7e_ard_3-0-0_099077_2004-12-13_final
2005-07-17 10:51:35	ga_ls7e_ard_3-0-0_107076_2005-07-17_final
2005-09-03 10:49:45	ga_ls7e_ard_3-0-0_107072_2005-09-03_final
2005-10-13 09:58:37	ga_ls7e_ard_3-0-0_099068_2005-10-13_final
2006-01-23 11:02:28	ga_ls7e_ard_3-0-0_109071_2006-01-23_final
2006-05-26 09:11:57	ga_ls7e_ard_3-0-0_090088_2006-05-25_final
2007-09-12 11:25:41	ga_ls7e_ard_3-0-0_112083_2007-09-12_final
2008-02-01 09:54:28	ga_ls7e_ard_3-0-0_098070_2008-02-01_final
2008-11-07 09:11:43	ga_ls7e_ard_3-0-0_090090_2008-11-06_final
2009-03-05 10:07:23	ga_ls7e_ard_3-0-0_100072_2009-03-05_final
2009-05-11 10:42:37	ga_ls7e_ard_3-0-0_105082_2009-05-11_final
2009-07-13 09:57:40	ga_ls7e_ard_3-0-0_098078_2009-07-13_final
2009-08-08 08:56:31	ga_ls7e_ard_3-0-0_088080_2009-08-07_final
2009-10-14 11:04:14	ga_ls7e_ard_3-0-0_109075_2009-10-14_final
2010-02-11 10:16:09	ga_ls7e_ard_3-0-0_101074_2010-02-11_final
2010-02-23 09:08:05	ga_ls7e_ard_3-1-0_089089_2010-02-22_final
2011-09-11 10:59:15	ga_ls7e_ard_3-0-0_108070_2011-09-11_final
2011-09-17 10:22:08	ga_ls7e_ard_3-0-0_102070_2011-09-17_final
2011-12-03 11:32:11	ga_ls7e_ard_3-0-0_113074_2011-12-03_final
2012-01-22 11:22:05	ga_ls7e_ard_3-0-0_111079_2012-01-22_final
2012-08-06 10:02:21	ga_ls7e_ard_3-0-0_098078_2012-08-06_final
2013-09-21 09:48:05	ga_ls7e_ard_3-0-0_095087_2013-09-21_final
2013-12-07 10:55:07	ga_ls7e_ard_3-0-0_106083_2013-12-07_final
2016-04-20 11:37:57	ga_ls7e_ard_3-0-0_113067_2016-04-20_final
2017-05-06 09:36:19	ga_ls7e_ard_3-0-0_092087_2017-05-06_final
2017-05-20 11:23:12	ga_ls7e_ard_3-0-0_110076_2017-05-20_final
2017-05-25 10:03:16	ga_ls7e_ard_3-0-0_097077_2017-05-25_final
2017-06-01 11:44:23	ga_ls7e_ard_3-0-0_114067_2017-06-01_final
2017-09-07 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-09-07_final
2018-03-16 10:10:32	ga_ls7e_ard_3-0-0_098083_2018-03-16_final
2019-08-05 09:34:02	ga_ls7e_ard_3-0-0_095072_2019-08-05_final
2019-11-03 10:11:16	ga_ls7e_ard_3-1-0_101082_2019-11-03_final
2020-03-31 10:19:48	ga_ls7e_ard_3-1-0_104076_2020-03-31_final
2021-04-09 09:14:47	ga_ls7e_ard_3-2-0_098069_2021-04-08_final
2021-08-05 08:34:31	ga_ls7e_ard_3-2-0_092086_2021-08-04_final
2021-11-13 09:32:32	ga_ls7e_ard_3-2-1_104068_2021-11-13_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