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

44 results

Time (local)	Label
2000-04-18 10:26:55	ga_ls7e_ard_3-0-0_103069_2000-04-18_final
2002-02-15 10:50:39	ga_ls7e_ard_3-0-0_107075_2002-02-15_final
2002-10-12 10:06:55	ga_ls7e_ard_3-0-0_100077_2002-10-12_final
2003-01-13 09:32:49	ga_ls7e_ard_3-0-0_095067_2003-01-13_final
2003-08-25 09:32:48	ga_ls7e_ard_3-0-0_095067_2003-08-25_final
2003-11-01 10:50:11	ga_ls7e_ard_3-0-0_107075_2003-11-01_final
2004-03-09 09:52:10	ga_ls7e_ard_3-0-0_098067_2004-03-09_final
2004-04-10 09:52:10	ga_ls7e_ard_3-0-0_098067_2004-04-10_final
2004-05-02 10:56:43	ga_ls7e_ard_3-0-0_108074_2004-05-02_final
2004-06-19 10:54:34	ga_ls7e_ard_3-0-0_108069_2004-06-19_final
2004-08-08 09:10:41	ga_ls7e_ard_3-0-0_090088_2004-08-07_final
2004-09-15 10:07:56	ga_ls7e_ard_3-0-0_100077_2004-09-15_final
2008-01-04 09:28:35	ga_ls7e_ard_3-1-0_094067_2008-01-03_final
2008-02-28 11:13:30	ga_ls7e_ard_3-0-0_111067_2008-02-28_final
2008-05-14 10:03:31	ga_ls7e_ard_3-0-0_099078_2008-05-14_final
2009-03-14 10:03:16	ga_ls7e_ard_3-0-0_099077_2009-03-14_final
2009-04-03 09:34:41	ga_ls7e_ard_3-0-0_095067_2009-04-03_final
2009-07-03 09:24:13	ga_ls7e_ard_3-0-0_092087_2009-07-02_final
2009-07-03 10:59:55	ga_ls7e_ard_3-0-0_108079_2009-07-03_final
2010-01-13 09:12:10	ga_ls7e_ard_3-1-0_090085_2010-01-12_final
2010-01-17 10:24:48	ga_ls7e_ard_3-0-0_102081_2010-01-17_final
2010-03-18 10:44:56	ga_ls7e_ard_3-0-0_106068_2010-03-18_final
2011-04-25 09:38:01	ga_ls7e_ard_3-0-0_095067_2011-04-25_final
2011-09-03 10:12:39	ga_ls7e_ard_3-0-0_100077_2011-09-03_final
2012-02-23 09:38:33	ga_ls7e_ard_3-0-0_095067_2012-02-23_final
2012-02-28 10:03:52	ga_ls7e_ard_3-0-0_098084_2012-02-28_final
2012-08-04 10:14:17	ga_ls7e_ard_3-0-0_100077_2012-08-04_final
2013-04-30 09:40:19	ga_ls7e_ard_3-0-0_095067_2013-04-30_final
2014-12-13 09:42:51	ga_ls7e_ard_3-0-0_095067_2014-12-13_final
2015-07-28 10:19:27	ga_ls7e_ard_3-0-0_100078_2015-07-28_final
2015-08-05 09:34:03	ga_ls7e_ard_3-0-0_092088_2015-08-05_final
2016-02-18 09:46:17	ga_ls7e_ard_3-0-0_095067_2016-02-18_final
2016-10-01 11:20:28	ga_ls7e_ard_3-0-0_109084_2016-10-01_final
2019-04-01 11:06:54	ga_ls7e_ard_3-0-0_109076_2019-04-01_final
2019-09-19 10:44:05	ga_ls7e_ard_3-1-0_106082_2019-09-19_final
2019-12-11 09:26:23	ga_ls7e_ard_3-1-0_095067_2019-12-10_final
2020-07-01 09:04:59	ga_ls7e_ard_3-1-0_092088_2020-06-30_final
2020-07-08 10:44:26	ga_ls7e_ard_3-1-0_109075_2020-07-08_final
2020-11-27 09:07:51	ga_ls7e_ard_3-1-0_095073_2020-11-26_final
2021-08-13 09:17:16	ga_ls7e_ard_3-2-0_100071_2021-08-12_final
2021-09-27 08:40:48	ga_ls7e_ard_3-2-0_095067_2021-09-26_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-12-19 09:07:58	ga_ls7e_ard_3-2-1_100077_2021-12-18_final
2022-03-09 09:00:06	ga_ls7e_ard_3-2-1_100077_2022-03-08_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