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

59 results

Time (local)	Label
1999-12-13 11:13:39	ga_ls7e_ard_3-0-0_110076_1999-12-13_final
2000-02-01 10:58:20	ga_ls7e_ard_3-0-0_108069_2000-02-01_final
2000-04-11 10:25:36	ga_ls7e_ard_3-0-0_102081_2000-04-11_final
2000-10-24 09:54:24	ga_ls7e_ard_3-0-0_098070_2000-10-24_final
2001-04-23 10:13:10	ga_ls7e_ard_3-0-0_101071_2001-04-23_final
2001-04-26 09:09:10	ga_ls7e_ard_3-0-0_090081_2001-04-25_final
2001-05-15 09:37:28	ga_ls7e_ard_3-0-0_095075_2001-05-15_final
2002-12-05 09:28:53	ga_ls7e_ard_3-1-0_094073_2002-12-04_final
2002-12-23 10:53:52	ga_ls7e_ard_3-0-0_108069_2002-12-23_final
2003-03-24 10:38:27	ga_ls7e_ard_3-0-0_105076_2003-03-24_final
2003-08-21 10:01:55	ga_ls7e_ard_3-0-0_099078_2003-08-21_final
2003-09-24 11:23:51	ga_ls7e_ard_3-0-0_113067_2003-09-24_final
2004-09-02 10:38:32	ga_ls7e_ard_3-0-0_105076_2004-09-02_final
2004-10-31 10:22:06	ga_ls7e_ard_3-0-0_102081_2004-10-31_final
2004-12-06 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-12-06_final
2005-02-10 09:42:09	ga_ls7e_ard_3-0-0_096072_2005-02-10_final
2005-07-08 09:21:16	ga_ls7e_ard_3-0-0_092082_2005-07-07_final
2005-08-02 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-08-01_final
2005-09-05 10:38:57	ga_ls7e_ard_3-0-0_105076_2005-09-05_final
2005-11-03 10:22:37	ga_ls7e_ard_3-0-0_102081_2005-11-03_final
2006-02-02 10:02:43	ga_ls7e_ard_3-0-0_099076_2006-02-02_final
2006-03-12 09:25:20	ga_ls7e_ard_3-0-0_093075_2006-03-11_final
2006-07-16 09:37:23	ga_ls7e_ard_3-0-0_095075_2006-07-16_final
2006-11-17 10:03:52	ga_ls7e_ard_3-0-0_099079_2006-11-17_final
2007-05-23 09:48:29	ga_ls7e_ard_3-1-0_096086_2007-05-23_final
2007-11-05 09:07:55	ga_ls7e_ard_3-0-0_090078_2007-11-04_final
2008-03-02 10:11:29	ga_ls7e_ard_3-0-0_100082_2008-03-02_final
2008-04-06 10:39:57	ga_ls7e_ard_3-0-0_105076_2008-04-06_final
2008-04-23 11:26:22	ga_ls7e_ard_3-0-0_112084_2008-04-23_final
2008-05-05 10:08:09	ga_ls7e_ard_3-0-0_100074_2008-05-05_final
2009-01-21 10:25:34	ga_ls7e_ard_3-0-0_103072_2009-01-21_final
2009-12-10 09:23:57	ga_ls7e_ard_3-0-0_092085_2009-12-09_final
2010-01-22 09:03:20	ga_ls7e_ard_3-0-0_089078_2010-01-21_final
2011-05-10 09:00:20	ga_ls7e_ard_3-0-0_088081_2011-05-09_final
2011-08-29 11:31:49	ga_ls7e_ard_3-0-0_113074_2011-08-29_final
2012-01-22 09:40:48	ga_ls7e_ard_3-1-0_095073_2012-01-22_final
2012-03-22 11:46:32	ga_ls7e_ard_3-0-0_115078_2012-03-22_final
2013-05-04 09:24:46	ga_ls7e_ard_3-0-0_091090_2013-05-03_final
2013-07-19 09:44:09	ga_ls7e_ard_3-0-0_095078_2013-07-19_final
2013-07-30 09:28:42	ga_ls7e_ard_3-0-0_092086_2013-07-29_final
2013-12-06 10:06:16	ga_ls7e_ard_3-0-0_099069_2013-12-06_final
2014-08-09 11:14:34	ga_ls7e_ard_3-0-0_109082_2014-08-09_final
2016-01-04 10:18:46	ga_ls7e_ard_3-0-0_100072_2016-01-04_final
2016-10-27 10:12:13	ga_ls7e_ard_3-0-0_099068_2016-10-27_final
2017-02-25 10:05:48	ga_ls7e_ard_3-0-0_098069_2017-02-25_final
2017-03-22 10:00:34	ga_ls7e_ard_3-0-0_097071_2017-03-22_final
2017-11-04 10:35:29	ga_ls7e_ard_3-0-0_102080_2017-11-04_final
2017-11-30 09:33:09	ga_ls7e_ard_3-0-0_092079_2017-11-30_final
2018-05-05 09:58:09	ga_ls7e_ard_3-0-0_096085_2018-05-05_final
2018-09-18 10:43:28	ga_ls7e_ard_3-0-0_104081_2018-09-18_final
2019-04-02 10:12:03	ga_ls7e_ard_3-0-0_100078_2019-04-02_final
2019-08-05 09:32:03	ga_ls7e_ard_3-0-0_095067_2019-08-05_final
2020-01-12 11:06:25	ga_ls7e_ard_3-1-0_111074_2020-01-12_final
2020-06-02 11:12:04	ga_ls7e_ard_3-1-0_113077_2020-06-02_final
2021-01-20 10:04:09	ga_ls7e_ard_3-2-0_105069_2021-01-20_final
2021-04-24 08:33:03	ga_ls7e_ard_3-2-0_091076_2021-04-23_final
2021-07-25 10:26:55	ga_ls7e_ard_3-2-0_111071_2021-07-25_final
2022-01-14 08:08:25	ga_ls7e_ard_3-2-1_090089_2022-01-13_final
2022-04-03 08:53:29	ga_ls7e_ard_3-2-1_099082_2022-04-02_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

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