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

52 results

Time (local)	Label
2000-09-13 10:04:33	ga_ls7e_ard_3-0-0_099079_2000-09-13_final
2000-09-17 11:16:14	ga_ls7e_ard_3-0-0_111073_2000-09-17_final
2002-01-02 10:24:26	ga_ls7e_ard_3-0-0_103072_2002-01-02_final
2002-04-27 10:56:45	ga_ls7e_ard_3-0-0_108075_2002-04-27_final
2003-01-18 09:58:36	ga_ls7e_ard_3-0-0_098085_2003-01-18_final
2003-04-16 09:09:27	ga_ls7e_ard_3-0-0_090085_2003-04-15_final
2003-10-19 11:23:19	ga_ls7e_ard_3-0-0_112081_2003-10-19_final
2003-11-06 09:33:02	ga_ls7e_ard_3-1-0_094083_2003-11-06_final
2003-12-11 09:59:52	ga_ls7e_ard_3-0-0_099072_2003-12-11_final
2004-03-05 10:17:39	ga_ls7e_ard_3-0-0_102069_2004-03-05_final
2004-04-19 11:24:47	ga_ls7e_ard_3-0-0_113067_2004-04-19_final
2004-07-26 11:18:10	ga_ls7e_ard_3-1-0_111082_2004-07-26_final
2004-08-22 10:55:08	ga_ls7e_ard_3-0-0_108071_2004-08-22_final
2005-09-08 11:11:49	ga_ls7e_ard_3-0-0_110081_2005-09-08_final
2006-01-01 10:00:04	ga_ls7e_ard_3-0-0_099070_2006-01-01_final
2006-01-07 11:03:32	ga_ls7e_ard_3-0-0_109074_2006-01-07_final
2006-09-21 10:09:12	ga_ls7e_ard_3-0-0_100078_2006-09-21_final
2006-10-06 09:29:20	ga_ls7e_ard_3-0-0_093087_2006-10-05_final
2007-02-19 10:15:08	ga_ls7e_ard_3-1-0_101075_2007-02-19_final
2007-05-18 11:04:52	ga_ls7e_ard_3-0-0_109076_2007-05-18_final
2008-03-29 09:50:30	ga_ls7e_ard_3-1-0_097076_2008-03-29_final
2008-05-14 10:03:31	ga_ls7e_ard_3-0-0_099078_2008-05-14_final
2009-04-19 11:16:27	ga_ls7e_ard_3-0-0_111074_2009-04-19_final
2009-05-02 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-05-01_final
2010-01-22 10:43:01	ga_ls7e_ard_3-1-0_105080_2010-01-22_final
2010-08-14 11:08:20	ga_ls7e_ard_3-0-0_109080_2010-08-14_final
2010-09-17 10:55:39	ga_ls7e_ard_3-0-0_107079_2010-09-17_final
2010-12-02 09:40:55	ga_ls7e_ard_3-0-0_095076_2010-12-02_final
2011-02-05 10:22:40	ga_ls7e_ard_3-0-0_102071_2011-02-05_final
2011-04-05 10:06:44	ga_ls7e_ard_3-0-0_099077_2011-04-05_final
2011-04-06 10:46:25	ga_ls7e_ard_3-0-0_106068_2011-04-06_final
2011-07-10 10:04:15	ga_ls7e_ard_3-0-0_099071_2011-07-10_final
2011-11-01 11:34:36	ga_ls7e_ard_3-0-0_113081_2011-11-01_final
2011-12-17 10:08:09	ga_ls7e_ard_3-0-0_099080_2011-12-17_final
2012-02-07 11:24:10	ga_ls7e_ard_3-0-0_111084_2012-02-07_final
2012-06-26 10:06:01	ga_ls7e_ard_3-0-0_099073_2012-06-26_final
2012-07-02 11:07:06	ga_ls7e_ard_3-0-0_109071_2012-07-02_final
2013-05-03 10:18:00	ga_ls7e_ard_3-0-0_100084_2013-05-03_final
2013-05-17 10:27:32	ga_ls7e_ard_3-0-0_102077_2013-05-17_final
2014-05-29 10:25:15	ga_ls7e_ard_3-0-0_101083_2014-05-29_final
2015-01-04 09:15:02	ga_ls7e_ard_3-0-0_089090_2015-01-03_final
2015-05-07 10:29:49	ga_ls7e_ard_3-0-0_102074_2015-05-07_final
2016-10-22 10:00:53	ga_ls7e_ard_3-1-0_096086_2016-10-22_final
2018-05-27 10:55:37	ga_ls7e_ard_3-1-0_106075_2018-05-27_final
2018-07-13 10:08:41	ga_ls7e_ard_3-0-0_099068_2018-07-13_final
2019-09-06 09:32:41	ga_ls7e_ard_3-1-0_095072_2019-09-06_final
2019-11-02 11:00:57	ga_ls7e_ard_3-1-0_110067_2019-11-02_final
2020-01-22 10:05:20	ga_ls7e_ard_3-1-0_101077_2020-01-22_final
2020-10-31 11:07:57	ga_ls7e_ard_3-1-0_114075_2020-10-31_final
2021-06-08 09:39:14	ga_ls7e_ard_3-2-0_102081_2021-06-08_final
2022-01-05 09:47:08	ga_ls7e_ard_3-2-1_107071_2022-01-05_final
2022-02-13 08:12:12	ga_ls7e_ard_3-2-1_092075_2022-02-12_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