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

51 results

Time (local)	Label
1999-10-28 10:58:50	ga_ls7e_ard_3-0-0_108070_1999-10-28_final
2000-06-29 11:20:57	ga_ls7e_ard_3-1-0_111082_2000-06-29_final
2000-12-02 10:00:17	ga_ls7e_ard_3-0-0_099069_2000-12-02_final
2001-03-01 09:54:28	ga_ls7e_ard_3-0-0_098070_2001-03-01_final
2001-06-05 11:34:41	ga_ls7e_ard_3-0-0_114075_2001-06-05_final
2001-11-12 09:52:13	ga_ls7e_ard_3-0-0_098069_2001-11-12_final
2002-03-05 10:37:08	ga_ls7e_ard_3-0-0_105072_2002-03-05_final
2002-10-27 11:00:19	ga_ls7e_ard_3-0-0_109071_2002-10-27_final
2003-04-24 09:52:05	ga_ls7e_ard_3-0-0_098068_2003-04-24_final
2003-11-02 09:52:09	ga_ls7e_ard_3-0-0_098069_2003-11-02_final
2004-02-20 10:06:01	ga_ls7e_ard_3-0-0_100071_2004-02-20_final
2004-03-04 11:12:28	ga_ls7e_ard_3-0-0_111067_2004-03-04_final
2004-04-12 11:23:51	ga_ls7e_ard_3-0-0_112080_2004-04-12_final
2004-05-23 09:35:35	ga_ls7e_ard_3-0-0_095072_2004-05-23_final
2004-12-06 09:56:29	ga_ls7e_ard_3-0-0_098078_2004-12-06_final
2005-01-15 09:11:17	ga_ls7e_ard_3-0-0_090088_2005-01-14_final
2005-08-16 11:03:27	ga_ls7e_ard_3-0-0_109075_2005-08-16_final
2005-10-26 11:08:23	ga_ls7e_ard_3-1-0_110072_2005-10-26_final
2006-05-02 09:59:47	ga_ls7e_ard_3-0-0_098084_2006-05-02_final
2006-05-25 10:05:59	ga_ls7e_ard_3-0-0_099084_2006-05-25_final
2007-09-03 09:47:28	ga_ls7e_ard_3-0-0_097069_2007-09-03_final
2007-10-31 10:27:01	ga_ls7e_ard_3-0-0_103075_2007-10-31_final
2008-12-01 09:57:05	ga_ls7e_ard_3-0-0_098079_2008-12-01_final
2008-12-02 10:36:22	ga_ls7e_ard_3-0-0_105069_2008-12-02_final
2009-01-19 09:02:38	ga_ls7e_ard_3-1-0_089081_2009-01-18_final
2009-10-31 10:12:05	ga_ls7e_ard_3-0-0_100083_2009-10-31_final
2009-11-09 11:42:56	ga_ls7e_ard_3-0-0_115078_2009-11-09_final
2009-11-27 09:48:19	ga_ls7e_ard_3-0-0_097069_2009-11-27_final
2010-03-22 10:23:02	ga_ls7e_ard_3-0-0_102075_2010-03-22_final
2010-12-24 09:06:24	ga_ls7e_ard_3-0-0_089082_2010-12-23_final
2011-04-09 09:40:26	ga_ls7e_ard_3-1-0_095073_2011-04-09_final
2011-04-24 10:39:37	ga_ls7e_ard_3-0-0_104082_2011-04-24_final
2012-01-27 11:35:50	ga_ls7e_ard_3-0-0_114067_2012-01-27_final
2012-11-08 10:12:45	ga_ls7e_ard_3-0-0_100071_2012-11-08_final
2012-12-10 10:13:44	ga_ls7e_ard_3-0-0_100073_2012-12-10_final
2013-03-10 09:13:38	ga_ls7e_ard_3-0-0_090077_2013-03-09_final
2013-10-24 10:27:43	ga_ls7e_ard_3-0-0_102077_2013-10-24_final
2014-10-13 10:15:16	ga_ls7e_ard_3-0-0_100072_2014-10-13_final
2016-08-25 09:22:57	ga_ls7e_ard_3-0-0_090084_2016-08-24_final
2016-09-10 10:55:30	ga_ls7e_ard_3-0-0_106068_2016-09-10_final
2016-09-17 11:07:40	ga_ls7e_ard_3-0-0_107083_2016-09-17_final
2017-03-17 09:42:48	ga_ls7e_ard_3-0-0_094073_2017-03-17_final
2017-04-12 10:22:25	ga_ls7e_ard_3-0-0_100079_2017-04-12_final
2017-12-18 10:58:19	ga_ls7e_ard_3-0-0_106076_2017-12-18_final
2018-02-26 10:20:42	ga_ls7e_ard_3-0-0_100077_2018-02-26_final
2019-09-17 09:18:27	ga_ls7e_ard_3-1-0_092084_2019-09-16_final
2019-10-31 09:41:18	ga_ls7e_ard_3-1-0_096084_2019-10-31_final
2020-09-23 10:11:24	ga_ls7e_ard_3-1-0_104082_2020-09-23_final
2020-12-18 09:29:13	ga_ls7e_ard_3-1-0_098084_2020-12-17_final
2021-09-19 09:34:34	ga_ls7e_ard_3-2-0_103076_2021-09-19_final
2022-02-22 09:47:37	ga_ls7e_ard_3-2-1_107084_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years