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
2000-03-17 10:27:14	ga_ls7e_ard_3-0-0_103069_2000-03-17_final
2000-03-27 11:08:41	ga_ls7e_ard_3-0-0_109080_2000-03-27_final
2000-05-07 10:57:44	ga_ls7e_ard_3-0-0_108069_2000-05-07_final
2001-11-18 10:54:04	ga_ls7e_ard_3-0-0_108069_2001-11-18_final
2001-12-20 10:54:13	ga_ls7e_ard_3-0-0_108069_2001-12-20_final
2002-08-18 09:59:41	ga_ls7e_ard_3-0-0_099073_2002-08-18_final
2004-01-03 10:10:36	ga_ls7e_ard_3-0-0_100083_2004-01-03_final
2004-02-13 11:41:07	ga_ls7e_ard_3-1-0_115077_2004-02-13_final
2004-08-17 09:03:19	ga_ls7e_ard_3-0-0_089085_2004-08-16_final
2004-11-07 10:25:33	ga_ls7e_ard_3-0-0_103074_2004-11-07_final
2005-04-19 10:55:05	ga_ls7e_ard_3-0-0_108069_2005-04-19_final
2005-07-02 09:59:32	ga_ls7e_ard_3-0-0_098085_2005-07-02_final
2006-02-26 09:10:11	ga_ls7e_ard_3-1-0_091068_2006-02-25_final
2006-09-03 10:22:52	ga_ls7e_ard_3-0-0_102081_2006-09-03_final
2006-09-25 11:25:19	ga_ls7e_ard_3-0-0_112083_2006-09-25_final
2007-02-05 10:03:53	ga_ls7e_ard_3-0-0_099078_2007-02-05_final
2007-02-20 09:19:55	ga_ls7e_ard_3-0-0_092076_2007-02-19_final
2007-07-12 09:36:25	ga_ls7e_ard_3-0-0_094087_2007-07-12_final
2007-08-05 10:18:10	ga_ls7e_ard_3-0-0_102068_2007-08-05_final
2007-08-15 10:55:35	ga_ls7e_ard_3-0-0_108069_2007-08-15_final
2007-11-01 09:35:47	ga_ls7e_ard_3-0-0_094086_2007-11-01_final
2007-11-02 10:13:05	ga_ls7e_ard_3-0-0_101071_2007-11-02_final
2008-02-06 10:16:11	ga_ls7e_ard_3-0-0_101078_2008-02-06_final
2008-04-05 10:00:17	ga_ls7e_ard_3-0-0_098085_2008-04-05_final
2008-05-10 10:29:28	ga_ls7e_ard_3-0-0_103081_2008-05-10_final
2009-02-04 10:36:48	ga_ls7e_ard_3-0-0_105069_2009-02-04_final
2009-09-13 10:07:04	ga_ls7e_ard_3-0-0_100071_2009-09-13_final
2009-10-02 10:39:55	ga_ls7e_ard_3-0-0_105076_2009-10-02_final
2010-02-15 11:34:21	ga_ls7e_ard_3-0-0_113084_2010-02-15_final
2010-06-16 09:49:30	ga_ls7e_ard_3-0-0_096084_2010-06-16_final
2010-07-31 09:20:17	ga_ls7e_ard_3-0-0_091088_2010-07-30_final
2010-12-14 10:03:44	ga_ls7e_ard_3-0-0_099071_2010-12-14_final
2011-02-18 09:52:13	ga_ls7e_ard_3-0-0_097072_2011-02-18_final
2011-04-20 10:59:08	ga_ls7e_ard_3-0-0_108069_2011-04-20_final
2011-09-19 10:11:22	ga_ls7e_ard_3-0-0_100074_2011-09-19_final
2012-03-23 09:15:13	ga_ls7e_ard_3-0-0_090086_2012-03-22_final
2012-12-20 10:54:54	ga_ls7e_ard_3-0-0_106083_2012-12-20_final
2013-01-25 10:29:27	ga_ls7e_ard_3-0-0_102081_2013-01-25_final
2013-07-10 09:51:11	ga_ls7e_ard_3-0-0_096080_2013-07-10_final
2013-08-26 09:11:30	ga_ls7e_ard_3-0-0_089089_2013-08-25_final
2013-12-13 10:18:26	ga_ls7e_ard_3-0-0_100084_2013-12-13_final
2014-10-13 10:19:39	ga_ls7e_ard_3-0-0_100083_2014-10-13_final
2016-09-05 10:42:08	ga_ls7e_ard_3-0-0_103081_2016-09-05_final
2016-09-19 10:52:31	ga_ls7e_ard_3-0-0_105076_2016-09-19_final
2017-01-12 11:20:29	ga_ls7e_ard_3-0-0_110070_2017-01-12_final
2017-01-31 10:17:07	ga_ls7e_ard_3-0-0_099082_2017-01-31_final
2017-03-21 09:23:17	ga_ls7e_ard_3-0-0_090086_2017-03-20_final
2017-06-09 10:58:10	ga_ls7e_ard_3-1-0_106075_2017-06-09_final
2018-01-02 10:11:17	ga_ls7e_ard_3-0-0_099067_2018-01-02_final
2018-02-15 10:39:45	ga_ls7e_ard_3-0-0_103078_2018-02-15_final
2018-06-04 10:06:51	ga_ls7e_ard_3-0-0_098077_2018-06-04_final
2018-09-10 11:30:18	ga_ls7e_ard_3-0-0_112074_2018-09-10_final
2018-11-18 11:47:39	ga_ls7e_ard_3-0-0_115075_2018-11-18_final
2019-01-23 09:52:30	ga_ls7e_ard_3-0-0_097070_2019-01-23_final
2019-03-28 09:51:17	ga_ls7e_ard_3-1-0_097072_2019-03-28_final
2019-04-04 11:34:06	ga_ls7e_ard_3-0-0_114067_2019-04-04_final
2019-06-22 09:18:14	ga_ls7e_ard_3-0-0_091090_2019-06-21_final
2020-09-30 10:14:45	ga_ls7e_ard_3-1-0_105076_2020-09-30_final
2020-12-19 10:09:12	ga_ls7e_ard_3-1-0_105076_2020-12-19_final
2021-01-14 09:04:47	ga_ls7e_ard_3-2-0_095074_2021-01-13_final
2021-01-20 10:06:09	ga_ls7e_ard_3-2-0_105074_2021-01-20_final
2021-05-03 10:04:59	ga_ls7e_ard_3-2-0_106076_2021-05-03_final
2021-06-30 10:39:37	ga_ls7e_ard_3-2-0_112082_2021-06-30_final
2021-09-09 08:56:22	ga_ls7e_ard_3-2-0_097071_2021-09-08_final
2021-09-24 09:52:39	ga_ls7e_ard_3-2-0_106076_2021-09-24_final
2022-01-23 09:32:16	ga_ls7e_ard_3-2-1_105069_2022-01-23_final
2022-02-23 08:46:19	ga_ls7e_ard_3-2-1_098070_2022-02-22_final
2022-03-27 10:23:40	ga_ls7e_ard_3-2-1_114074_2022-03-27_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