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

60 results

Time (local)	Label
1999-10-08 11:22:31	ga_ls7e_ard_3-0-0_112067_1999-10-08_final
2002-04-19 10:08:04	ga_ls7e_ard_3-0-0_100077_2002-04-19_final
2003-03-15 10:44:19	ga_ls7e_ard_3-1-0_106075_2003-03-15_final
2003-09-22 11:39:24	ga_ls7e_ard_3-0-0_115075_2003-09-22_final
2004-06-10 11:03:11	ga_ls7e_ard_3-0-0_109075_2004-06-10_final
2004-11-21 10:38:24	ga_ls7e_ard_3-0-0_105075_2004-11-21_final
2004-12-30 10:46:55	ga_ls7e_ard_3-0-0_106080_2004-12-30_final
2005-03-26 10:08:59	ga_ls7e_ard_3-0-0_100077_2005-03-26_final
2005-11-14 11:40:41	ga_ls7e_ard_3-0-0_115075_2005-11-14_final
2005-12-13 11:08:43	ga_ls7e_ard_3-1-0_110072_2005-12-13_final
2006-03-06 10:03:13	ga_ls7e_ard_3-0-0_099077_2006-03-06_final
2006-05-31 11:04:11	ga_ls7e_ard_3-0-0_109075_2006-05-31_final
2006-09-10 10:23:49	ga_ls7e_ard_3-0-0_103068_2006-09-10_final
2006-11-17 10:03:52	ga_ls7e_ard_3-0-0_099079_2006-11-17_final
2006-12-10 10:09:27	ga_ls7e_ard_3-0-0_100077_2006-12-10_final
2007-01-27 10:07:12	ga_ls7e_ard_3-0-0_100071_2007-01-27_final
2007-07-30 10:58:05	ga_ls7e_ard_3-1-0_108075_2007-07-30_final
2008-01-23 10:05:52	ga_ls7e_ard_3-0-0_099083_2008-01-23_final
2008-03-19 10:49:54	ga_ls7e_ard_3-0-0_107070_2008-03-19_final
2008-04-22 10:36:43	ga_ls7e_ard_3-0-0_105068_2008-04-22_final
2008-05-04 11:04:11	ga_ls7e_ard_3-0-0_109075_2008-05-04_final
2008-05-18 09:40:22	ga_ls7e_ard_3-0-0_095082_2008-05-18_final
2008-06-27 10:29:03	ga_ls7e_ard_3-0-0_103081_2008-06-27_final
2008-09-20 09:10:45	ga_ls7e_ard_3-0-0_090088_2008-09-19_final
2008-12-23 09:23:48	ga_ls7e_ard_3-0-0_092088_2008-12-22_final
2009-03-05 10:06:59	ga_ls7e_ard_3-0-0_100071_2009-03-05_final
2009-05-29 10:25:29	ga_ls7e_ard_3-0-0_103070_2009-05-29_final
2009-08-16 09:47:32	ga_ls7e_ard_3-0-0_096084_2009-08-16_final
2009-09-01 09:47:57	ga_ls7e_ard_3-0-0_096085_2009-09-01_final
2010-05-16 10:31:33	ga_ls7e_ard_3-0-0_103081_2010-05-16_final
2010-08-17 11:39:15	ga_ls7e_ard_3-0-0_114080_2010-08-17_final
2010-10-02 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-10-02_final
2011-05-01 10:43:25	ga_ls7e_ard_3-0-0_105076_2011-05-01_final
2011-06-20 10:33:00	ga_ls7e_ard_3-0-0_103081_2011-06-20_final
2011-10-23 11:35:11	ga_ls7e_ard_3-0-0_114067_2011-10-23_final
2012-05-08 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-07_final
2013-10-03 10:04:58	ga_ls7e_ard_3-0-0_099067_2013-10-03_final
2014-04-19 11:11:15	ga_ls7e_ard_3-0-0_109075_2014-04-19_final
2015-09-22 09:31:49	ga_ls7e_ard_3-0-0_092082_2015-09-22_final
2015-11-16 11:14:27	ga_ls7e_ard_3-0-0_109074_2015-11-16_final
2015-12-18 11:15:45	ga_ls7e_ard_3-0-0_109076_2015-12-18_final
2016-04-23 10:35:35	ga_ls7e_ard_3-0-0_102081_2016-04-23_final
2017-07-25 09:36:30	ga_ls7e_ard_3-0-0_092087_2017-07-25_final
2017-09-25 11:22:29	ga_ls7e_ard_3-0-0_110074_2017-09-25_final
2017-10-18 11:25:56	ga_ls7e_ard_3-0-0_111067_2017-10-18_final
2018-02-02 11:07:37	ga_ls7e_ard_3-0-0_108070_2018-02-02_final
2018-02-05 10:00:23	ga_ls7e_ard_3-0-0_097072_2018-02-05_final
2018-04-08 10:10:23	ga_ls7e_ard_3-0-0_099068_2018-04-08_final
2018-10-21 09:43:28	ga_ls7e_ard_3-0-0_095072_2018-10-21_final
2018-11-10 10:56:48	ga_ls7e_ard_3-0-0_107071_2018-11-10_final
2019-04-02 10:11:39	ga_ls7e_ard_3-0-0_100077_2019-04-02_final
2019-05-27 10:17:46	ga_ls7e_ard_3-0-0_101082_2019-05-27_final
2019-07-27 11:20:16	ga_ls7e_ard_3-0-0_112074_2019-07-27_final
2019-07-31 10:55:47	ga_ls7e_ard_3-1-0_108075_2019-07-31_final
2020-01-23 09:08:51	ga_ls7e_ard_3-1-0_092075_2020-01-22_final
2020-01-29 10:08:22	ga_ls7e_ard_3-1-0_102070_2020-01-29_final
2020-04-15 09:33:17	ga_ls7e_ard_3-1-0_097070_2020-04-15_final
2020-07-30 10:08:23	ga_ls7e_ard_3-1-0_103081_2020-07-30_final
2020-09-26 10:38:55	ga_ls7e_ard_3-1-0_109074_2020-09-26_final
2021-12-21 08:58:12	ga_ls7e_ard_3-2-1_098084_2021-12-20_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