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

63 results

Time (local)	Label
2001-02-08 11:16:05	ga_ls7e_ard_3-1-0_111073_2001-02-08_final
2001-05-24 11:09:44	ga_ls7e_ard_3-0-0_110074_2001-05-24_final
2001-09-23 10:07:45	ga_ls7e_ard_3-0-0_100077_2001-09-23_final
2002-02-07 10:03:11	ga_ls7e_ard_3-0-0_099080_2002-02-07_final
2002-03-15 09:35:40	ga_ls7e_ard_3-1-0_095073_2002-03-15_final
2002-04-28 11:40:01	ga_ls7e_ard_3-0-0_115075_2002-04-28_final
2002-07-16 10:55:54	ga_ls7e_ard_3-0-0_108074_2002-07-16_final
2003-08-28 10:08:04	ga_ls7e_ard_3-0-0_100078_2003-08-28_final
2003-10-21 11:12:11	ga_ls7e_ard_3-0-0_110084_2003-10-21_final
2003-11-29 11:14:45	ga_ls7e_ard_3-0-0_111074_2003-11-29_final
2004-04-01 09:59:12	ga_ls7e_ard_3-0-0_099069_2004-04-01_final
2004-04-12 11:18:40	ga_ls7e_ard_3-0-0_112067_2004-04-12_final
2004-05-30 09:47:19	ga_ls7e_ard_3-1-0_096086_2004-05-30_final
2004-08-23 09:59:30	ga_ls7e_ard_3-0-0_099071_2004-08-23_final
2004-09-01 11:36:09	ga_ls7e_ard_3-0-0_114081_2004-09-01_final
2004-11-12 10:44:55	ga_ls7e_ard_3-0-0_106076_2004-11-12_final
2005-06-23 10:02:32	ga_ls7e_ard_3-0-0_099077_2005-06-23_final
2005-09-21 09:02:23	ga_ls7e_ard_3-0-0_089082_2005-09-20_final
2006-01-10 09:53:11	ga_ls7e_ard_3-0-0_098068_2006-01-10_final
2006-07-06 10:39:40	ga_ls7e_ard_3-0-0_105076_2006-07-06_final
2006-11-07 11:07:33	ga_ls7e_ard_3-0-0_109084_2006-11-07_final
2007-02-15 09:02:09	ga_ls7e_ard_3-0-0_089078_2007-02-14_final
2007-03-09 10:00:02	ga_ls7e_ard_3-0-0_099068_2007-03-09_final
2008-01-17 09:06:28	ga_ls7e_ard_3-0-0_089089_2008-01-16_final
2008-03-19 10:49:54	ga_ls7e_ard_3-0-0_107070_2008-03-19_final
2008-03-22 09:45:07	ga_ls7e_ard_3-0-0_096078_2008-03-22_final
2008-10-17 10:22:57	ga_ls7e_ard_3-0-0_103068_2008-10-17_final
2009-10-26 09:47:53	ga_ls7e_ard_3-0-0_097069_2009-10-26_final
2010-02-20 10:09:16	ga_ls7e_ard_3-0-0_100072_2010-02-20_final
2010-05-21 10:44:54	ga_ls7e_ard_3-0-0_106068_2010-05-21_final
2011-12-27 10:41:46	ga_ls7e_ard_3-0-0_105071_2011-12-27_final
2012-02-20 10:47:44	ga_ls7e_ard_3-0-0_106070_2012-02-20_final
2012-03-22 10:09:38	ga_ls7e_ard_3-0-0_099083_2012-03-22_final
2012-10-08 09:22:54	ga_ls7e_ard_3-1-0_091086_2012-10-07_final
2013-11-14 09:09:30	ga_ls7e_ard_3-0-0_089082_2013-11-13_final
2014-03-02 09:28:48	ga_ls7e_ard_3-0-0_093067_2014-03-01_final
2014-04-03 11:11:06	ga_ls7e_ard_3-0-0_109075_2014-04-03_final
2014-08-04 09:19:56	ga_ls7e_ard_3-0-0_090089_2014-08-03_final
2015-04-16 10:09:09	ga_ls7e_ard_3-0-0_099069_2015-04-16_final
2015-05-28 09:15:35	ga_ls7e_ard_3-1-0_089089_2015-05-27_final
2016-01-06 10:11:37	ga_ls7e_ard_3-0-0_098085_2016-01-06_final
2016-04-11 10:11:34	ga_ls7e_ard_3-0-0_098083_2016-04-11_final
2016-05-27 10:19:22	ga_ls7e_ard_3-0-0_100071_2016-05-27_final
2016-07-20 09:47:36	ga_ls7e_ard_3-0-0_094084_2016-07-20_final
2017-12-28 11:38:28	ga_ls7e_ard_3-0-0_112084_2017-12-28_final
2018-02-14 11:31:00	ga_ls7e_ard_3-0-0_112067_2018-02-14_final
2019-03-25 09:22:05	ga_ls7e_ard_3-1-0_092076_2019-03-24_final
2019-06-05 10:09:41	ga_ls7e_ard_3-0-0_100078_2019-06-05_final
2019-07-26 09:00:10	ga_ls7e_ard_3-0-0_089079_2019-07-25_final
2019-07-26 10:40:14	ga_ls7e_ard_3-0-0_105082_2019-07-26_final
2019-11-10 10:16:43	ga_ls7e_ard_3-1-0_102081_2019-11-10_final
2020-04-03 10:50:08	ga_ls7e_ard_3-1-0_109075_2020-04-03_final
2020-06-01 10:25:17	ga_ls7e_ard_3-1-0_106068_2020-06-01_final
2020-06-20 09:18:11	ga_ls7e_ard_3-1-0_095073_2020-06-19_final
2020-06-25 09:34:26	ga_ls7e_ard_3-1-0_098068_2020-06-25_final
2020-08-16 10:44:59	ga_ls7e_ard_3-1-0_110067_2020-08-16_final
2021-04-17 10:05:56	ga_ls7e_ard_3-2-0_106075_2021-04-17_final
2021-04-25 09:17:01	ga_ls7e_ard_3-2-0_098078_2021-04-24_final
2021-07-15 08:14:37	ga_ls7e_ard_3-2-0_089078_2021-07-14_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-09-11 10:22:43	ga_ls7e_ard_3-2-0_111071_2021-09-11_final
2021-10-25 09:07:02	ga_ls7e_ard_3-2-0_099077_2021-10-24_final
2022-01-30 08:02:28	ga_ls7e_ard_3-2-1_090078_2022-01-29_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