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

43 results

Time (local)	Label
2000-01-22 10:26:03	ga_ls7e_ard_3-0-0_102081_2000-01-22_final
2000-02-01 11:00:20	ga_ls7e_ard_3-0-0_108074_2000-02-01_final
2001-01-30 09:41:05	ga_ls7e_ard_3-0-0_096067_2001-01-30_final
2001-05-03 10:51:50	ga_ls7e_ard_3-0-0_107075_2001-05-03_final
2001-06-20 10:51:15	ga_ls7e_ard_3-0-0_107075_2001-06-20_final
2001-08-14 09:23:30	ga_ls7e_ard_3-0-0_092089_2001-08-13_final
2001-08-23 10:50:33	ga_ls7e_ard_3-0-0_107075_2001-08-23_final
2002-09-14 09:38:27	ga_ls7e_ard_3-0-0_096067_2002-09-14_final
2003-02-22 10:24:31	ga_ls7e_ard_3-0-0_103072_2003-02-22_final
2004-07-05 10:56:33	ga_ls7e_ard_3-0-0_108074_2004-07-05_final
2004-11-06 09:39:30	ga_ls7e_ard_3-0-0_096067_2004-11-06_final
2005-05-14 10:51:23	ga_ls7e_ard_3-0-0_107075_2005-05-14_final
2005-08-31 10:22:28	ga_ls7e_ard_3-0-0_102081_2005-08-31_final
2005-11-04 09:21:26	ga_ls7e_ard_3-0-0_093067_2005-11-03_final
2005-11-06 10:51:10	ga_ls7e_ard_3-0-0_107075_2005-11-06_final
2006-09-13 10:55:06	ga_ls7e_ard_3-0-0_108069_2006-09-13_final
2006-10-31 10:55:17	ga_ls7e_ard_3-0-0_108069_2006-10-31_final
2007-06-14 09:12:09	ga_ls7e_ard_3-0-0_090088_2007-06-13_final
2007-08-11 09:40:39	ga_ls7e_ard_3-0-0_096067_2007-08-11_final
2007-08-17 10:43:37	ga_ls7e_ard_3-0-0_106070_2007-08-17_final
2007-12-01 09:40:49	ga_ls7e_ard_3-0-0_096067_2007-12-01_final
2007-12-17 09:40:54	ga_ls7e_ard_3-0-0_096067_2007-12-17_final
2009-07-31 09:48:25	ga_ls7e_ard_3-1-0_096086_2009-07-31_final
2011-01-20 10:21:24	ga_ls7e_ard_3-0-0_102068_2011-01-20_final
2011-03-09 10:21:37	ga_ls7e_ard_3-0-0_102068_2011-03-09_final
2011-09-06 10:45:08	ga_ls7e_ard_3-0-0_105081_2011-09-06_final
2011-12-10 10:03:54	ga_ls7e_ard_3-0-0_098085_2011-12-10_final
2012-08-24 09:45:48	ga_ls7e_ard_3-0-0_096067_2012-08-24_final
2014-01-30 10:13:45	ga_ls7e_ard_3-0-0_100071_2014-01-30_final
2014-12-14 10:31:43	ga_ls7e_ard_3-0-0_102081_2014-12-14_final
2016-11-28 10:13:15	ga_ls7e_ard_3-0-0_099071_2016-11-28_final
2017-01-17 10:00:29	ga_ls7e_ard_3-0-0_097071_2017-01-17_final
2017-05-18 09:53:05	ga_ls7e_ard_3-0-0_096067_2017-05-18_final
2017-09-02 11:16:44	ga_ls7e_ard_3-0-0_109075_2017-09-02_final
2017-10-30 10:18:09	ga_ls7e_ard_3-0-0_099083_2017-10-30_final
2018-08-09 09:49:17	ga_ls7e_ard_3-0-0_096067_2018-08-09_final
2019-08-23 11:01:00	ga_ls7e_ard_3-1-0_109075_2019-08-23_final
2019-09-19 10:44:05	ga_ls7e_ard_3-1-0_106082_2019-09-19_final
2020-01-19 09:30:35	ga_ls7e_ard_3-1-0_096067_2020-01-19_final
2020-02-20 09:28:57	ga_ls7e_ard_3-1-0_096067_2020-02-19_final
2020-03-29 10:29:05	ga_ls7e_ard_3-1-0_106068_2020-03-29_final
2020-06-27 09:21:34	ga_ls7e_ard_3-1-0_096067_2020-06-26_final
2021-03-03 08:58:25	ga_ls7e_ard_3-2-0_095067_2021-03-02_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