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

79 results

Time (local)	Label
2000-08-26 10:18:50	ga_ls7e_ard_3-0-0_101083_2000-08-26_final
2001-03-17 09:59:35	ga_ls7e_ard_3-0-0_098083_2001-03-17_final
2001-04-22 09:30:43	ga_ls7e_ard_3-0-0_094073_2001-04-22_final
2001-06-12 10:03:08	ga_ls7e_ard_3-0-0_099078_2001-06-12_final
2002-02-10 10:34:55	ga_ls7e_ard_3-0-0_104082_2002-02-10_final
2002-03-16 10:22:30	ga_ls7e_ard_3-0-0_102082_2002-03-16_final
2002-05-05 10:08:09	ga_ls7e_ard_3-0-0_100077_2002-05-05_final
2002-06-16 10:44:06	ga_ls7e_ard_3-1-0_106075_2002-06-16_final
2002-09-17 10:15:39	ga_ls7e_ard_3-0-0_101083_2002-09-17_final
2003-05-18 10:44:40	ga_ls7e_ard_3-0-0_106076_2003-05-18_final
2003-07-24 09:32:55	ga_ls7e_ard_3-0-0_095067_2003-07-24_final
2003-08-26 10:21:38	ga_ls7e_ard_3-0-0_102081_2003-08-26_final
2003-10-15 10:07:28	ga_ls7e_ard_3-0-0_100077_2003-10-15_final
2003-12-01 11:02:23	ga_ls7e_ard_3-0-0_109074_2003-12-01_final
2004-02-02 10:17:57	ga_ls7e_ard_3-0-0_102070_2004-02-02_final
2004-05-11 10:50:57	ga_ls7e_ard_3-0-0_107075_2004-05-11_final
2005-03-10 10:07:00	ga_ls7e_ard_3-0-0_100072_2005-03-10_final
2005-05-06 10:02:43	ga_ls7e_ard_3-0-0_099077_2005-05-06_final
2005-06-29 11:05:31	ga_ls7e_ard_3-0-0_109080_2005-06-29_final
2005-11-08 10:36:02	ga_ls7e_ard_3-0-0_105068_2005-11-08_final
2006-01-25 10:54:55	ga_ls7e_ard_3-0-0_107083_2006-01-25_final
2006-02-21 10:36:06	ga_ls7e_ard_3-0-0_104082_2006-02-21_final
2006-05-26 09:07:34	ga_ls7e_ard_3-0-0_090077_2006-05-25_final
2006-07-12 11:41:01	ga_ls7e_ard_3-0-0_115075_2006-07-12_final
2006-10-09 09:53:07	ga_ls7e_ard_3-0-0_098069_2006-10-09_final
2007-02-14 09:55:22	ga_ls7e_ard_3-0-0_098072_2007-02-14_final
2007-03-13 09:34:56	ga_ls7e_ard_3-0-0_095067_2007-03-13_final
2007-05-18 09:29:11	ga_ls7e_ard_3-0-0_093084_2007-05-17_final
2007-10-31 10:28:13	ga_ls7e_ard_3-0-0_103078_2007-10-31_final
2007-11-21 10:42:57	ga_ls7e_ard_3-0-0_106068_2007-11-21_final
2007-12-15 09:54:51	ga_ls7e_ard_3-0-0_098071_2007-12-15_final
2008-02-29 10:19:28	ga_ls7e_ard_3-0-0_102071_2008-02-29_final
2008-03-02 10:09:30	ga_ls7e_ard_3-0-0_100077_2008-03-02_final
2008-03-03 09:18:15	ga_ls7e_ard_3-0-0_091088_2008-03-02_final
2008-03-29 11:25:48	ga_ls7e_ard_3-0-0_113067_2008-03-29_final
2008-10-31 10:38:44	ga_ls7e_ard_3-0-0_105076_2008-10-31_final
2009-02-22 10:29:25	ga_ls7e_ard_3-0-0_103081_2009-02-22_final
2009-03-14 09:59:40	ga_ls7e_ard_3-0-0_099068_2009-03-14_final
2009-06-22 09:42:24	ga_ls7e_ard_3-0-0_095086_2009-06-22_final
2009-07-05 09:13:03	ga_ls7e_ard_3-0-0_090090_2009-07-04_final
2009-09-10 11:16:15	ga_ls7e_ard_3-0-0_111074_2009-09-10_final
2010-05-21 10:44:54	ga_ls7e_ard_3-0-0_106068_2010-05-21_final
2010-07-10 10:36:14	ga_ls7e_ard_3-0-0_104077_2010-07-10_final
2011-02-13 11:12:56	ga_ls7e_ard_3-0-0_110073_2011-02-13_final
2011-12-10 10:03:31	ga_ls7e_ard_3-0-0_098084_2011-12-10_final
2012-02-05 11:35:43	ga_ls7e_ard_3-0-0_113082_2012-02-05_final
2012-04-26 10:37:09	ga_ls7e_ard_3-0-0_104074_2012-04-26_final
2012-05-09 10:08:33	ga_ls7e_ard_3-0-0_099079_2012-05-09_final
2012-08-19 11:09:18	ga_ls7e_ard_3-0-0_109075_2012-08-19_final
2012-12-07 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-12-07_final
2013-01-20 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-01-20_final
2013-01-28 10:59:58	ga_ls7e_ard_3-0-0_107080_2013-01-28_final
2015-07-14 10:09:28	ga_ls7e_ard_3-0-0_098084_2015-07-14_final
2015-07-26 10:33:01	ga_ls7e_ard_3-0-0_102081_2015-07-26_final
2015-11-03 10:07:25	ga_ls7e_ard_3-0-0_098077_2015-11-03_final
2015-12-30 10:02:07	ga_ls7e_ard_3-0-0_097077_2015-12-30_final
2016-04-27 10:09:41	ga_ls7e_ard_3-0-0_098078_2016-04-27_final
2016-07-27 11:28:41	ga_ls7e_ard_3-0-0_111074_2016-07-27_final
2016-09-15 11:16:50	ga_ls7e_ard_3-0-0_109075_2016-09-15_final
2016-11-25 09:44:21	ga_ls7e_ard_3-0-0_094076_2016-11-25_final
2016-11-29 10:55:18	ga_ls7e_ard_3-0-0_106068_2016-11-29_final
2017-03-03 11:12:26	ga_ls7e_ard_3-0-0_108081_2017-03-03_final
2017-05-12 10:36:08	ga_ls7e_ard_3-0-0_102082_2017-05-12_final
2018-04-06 10:28:46	ga_ls7e_ard_3-0-0_101083_2018-04-06_final
2018-10-05 09:41:52	ga_ls7e_ard_3-0-0_095067_2018-10-05_final
2019-02-02 10:30:04	ga_ls7e_ard_3-0-0_103072_2019-02-02_final
2019-03-28 09:50:29	ga_ls7e_ard_3-1-0_097070_2019-03-28_final
2019-07-17 10:43:59	ga_ls7e_ard_3-1-0_106075_2019-07-17_final
2019-07-26 10:37:03	ga_ls7e_ard_3-0-0_105074_2019-07-26_final
2019-11-27 10:56:23	ga_ls7e_ard_3-1-0_109074_2019-11-27_final
2020-02-24 10:46:06	ga_ls7e_ard_3-1-0_108075_2020-02-24_final
2020-03-28 11:27:57	ga_ls7e_ard_3-1-0_115076_2020-03-28_final
2020-05-19 10:56:34	ga_ls7e_ard_3-1-0_111067_2020-05-19_final
2020-11-01 10:12:16	ga_ls7e_ard_3-1-0_105075_2020-11-01_final
2021-06-11 08:33:01	ga_ls7e_ard_3-2-0_091086_2021-06-10_final
2021-12-28 10:39:23	ga_ls7e_ard_3-2-1_115076_2021-12-28_final
2022-01-12 08:20:10	ga_ls7e_ard_3-2-1_092087_2022-01-11_final
2022-01-12 09:54:15	ga_ls7e_ard_3-2-1_108075_2022-01-12_final
2022-04-02 09:46:25	ga_ls7e_ard_3-2-1_108075_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years