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

68 results

Time (local)	Label
2000-03-18 09:33:37	ga_ls7e_ard_3-0-0_094074_2000-03-18_final
2000-03-26 10:25:50	ga_ls7e_ard_3-0-0_102081_2000-03-26_final
2000-12-23 10:21:19	ga_ls7e_ard_3-0-0_102075_2000-12-23_final
2001-05-26 09:19:16	ga_ls7e_ard_3-0-0_092076_2001-05-25_final
2001-09-27 11:17:54	ga_ls7e_ard_3-0-0_112067_2001-09-27_final
2002-07-02 10:46:01	ga_ls7e_ard_3-0-0_106080_2002-07-02_final
2003-02-05 09:45:59	ga_ls7e_ard_3-0-0_096084_2003-02-05_final
2003-05-22 10:21:56	ga_ls7e_ard_3-0-0_102081_2003-05-22_final
2004-02-14 09:11:24	ga_ls7e_ard_3-0-0_090089_2004-02-13_final
2004-07-22 10:03:15	ga_ls7e_ard_3-0-0_099080_2004-07-22_final
2004-08-01 09:00:33	ga_ls7e_ard_3-0-0_089078_2004-07-31_final
2004-11-08 11:07:14	ga_ls7e_ard_3-0-0_110070_2004-11-08_final
2004-12-29 10:02:03	ga_ls7e_ard_3-0-0_099076_2004-12-29_final
2005-02-10 09:40:09	ga_ls7e_ard_3-0-0_096067_2005-02-10_final
2005-04-14 10:36:11	ga_ls7e_ard_3-0-0_105068_2005-04-14_final
2005-08-30 09:39:37	ga_ls7e_ard_3-0-0_095082_2005-08-30_final
2005-12-10 10:39:01	ga_ls7e_ard_3-0-0_105075_2005-12-10_final
2006-02-07 10:23:17	ga_ls7e_ard_3-0-0_102081_2006-02-07_final
2006-03-02 10:24:21	ga_ls7e_ard_3-0-0_103068_2006-03-02_final
2006-03-31 09:53:49	ga_ls7e_ard_3-0-0_098069_2006-03-31_final
2006-06-07 11:09:32	ga_ls7e_ard_3-0-0_110073_2006-06-07_final
2007-06-30 09:12:08	ga_ls7e_ard_3-0-0_090088_2007-06-29_final
2007-07-09 10:40:01	ga_ls7e_ard_3-0-0_105076_2007-07-09_final
2008-02-23 09:23:41	ga_ls7e_ard_3-0-0_092086_2008-02-22_final
2008-03-14 08:56:52	ga_ls7e_ard_3-0-0_088081_2008-03-13_final
2008-12-09 09:06:56	ga_ls7e_ard_3-0-0_090077_2008-12-08_final
2009-03-14 09:59:40	ga_ls7e_ard_3-0-0_099068_2009-03-14_final
2010-04-22 09:38:37	ga_ls7e_ard_3-0-0_095072_2010-04-22_final
2010-05-23 10:33:44	ga_ls7e_ard_3-0-0_104071_2010-05-23_final
2010-10-21 09:08:57	ga_ls7e_ard_3-0-0_089090_2010-10-20_final
2010-12-30 10:03:05	ga_ls7e_ard_3-0-0_099069_2010-12-30_final
2011-01-31 10:03:43	ga_ls7e_ard_3-0-0_099070_2011-01-31_final
2011-02-17 10:48:14	ga_ls7e_ard_3-0-0_106073_2011-02-17_final
2011-07-19 09:57:15	ga_ls7e_ard_3-0-0_098069_2011-07-19_final
2012-05-09 10:05:21	ga_ls7e_ard_3-0-0_099071_2012-05-09_final
2012-10-26 10:45:38	ga_ls7e_ard_3-0-0_105076_2012-10-26_final
2013-02-23 11:34:36	ga_ls7e_ard_3-0-0_113074_2013-02-23_final
2013-03-25 10:09:58	ga_ls7e_ard_3-0-0_099079_2013-03-25_final
2014-02-08 10:06:00	ga_ls7e_ard_3-0-0_099067_2014-02-08_final
2014-03-20 09:24:10	ga_ls7e_ard_3-1-0_091086_2014-03-19_final
2014-04-13 10:06:10	ga_ls7e_ard_3-0-0_099067_2014-04-13_final
2014-04-28 09:30:40	ga_ls7e_ard_3-0-0_092086_2014-04-28_final
2014-06-13 11:17:43	ga_ls7e_ard_3-0-0_110075_2014-06-13_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2015-01-11 10:51:46	ga_ls7e_ard_3-0-0_106069_2015-01-11_final
2015-06-14 11:31:52	ga_ls7e_ard_3-0-0_112074_2015-06-14_final
2015-08-05 11:07:21	ga_ls7e_ard_3-0-0_108074_2015-08-05_final
2016-01-29 10:10:55	ga_ls7e_ard_3-0-0_099067_2016-01-29_final
2016-09-08 09:36:57	ga_ls7e_ard_3-0-0_092088_2016-09-08_final
2016-12-02 09:52:54	ga_ls7e_ard_3-0-0_095082_2016-12-02_final
2017-07-02 09:25:56	ga_ls7e_ard_3-0-0_091076_2017-07-01_final
2017-12-11 09:16:55	ga_ls7e_ard_3-0-0_089085_2017-12-10_final
2017-12-18 10:55:08	ga_ls7e_ard_3-0-0_106068_2017-12-18_final
2018-01-02 10:16:04	ga_ls7e_ard_3-0-0_099079_2018-01-02_final
2018-01-07 10:30:33	ga_ls7e_ard_3-0-0_102069_2018-01-07_final
2018-01-31 09:42:20	ga_ls7e_ard_3-0-0_094073_2018-01-31_final
2018-05-05 09:53:46	ga_ls7e_ard_3-0-0_096074_2018-05-05_final
2018-06-18 10:19:45	ga_ls7e_ard_3-0-0_100079_2018-06-18_final
2020-03-21 09:42:05	ga_ls7e_ard_3-1-0_098073_2020-03-21_final
2020-03-31 10:22:12	ga_ls7e_ard_3-1-0_104082_2020-03-31_final
2020-04-27 10:02:05	ga_ls7e_ard_3-1-0_101082_2020-04-27_final
2020-11-11 09:12:11	ga_ls7e_ard_3-1-0_095081_2020-11-10_final
2020-12-26 08:36:48	ga_ls7e_ard_3-1-0_090078_2020-12-25_final
2021-03-24 09:18:29	ga_ls7e_ard_3-2-0_098075_2021-03-23_final
2021-05-10 08:35:18	ga_ls7e_ard_3-2-0_091085_2021-05-09_final
2021-08-02 09:40:46	ga_ls7e_ard_3-2-0_103081_2021-08-02_final
2021-11-14 08:42:48	ga_ls7e_ard_3-2-1_095083_2021-11-13_final
2022-01-16 09:31:57	ga_ls7e_ard_3-2-1_104082_2022-01-16_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

All years