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

42 results

Time (local)	Label
2001-03-18 10:41:14	ga_ls7e_ard_3-0-0_105079_2001-03-18_final
2001-05-02 10:09:23	ga_ls7e_ard_3-0-0_100077_2001-05-02_final
2003-07-20 10:02:04	ga_ls7e_ard_3-0-0_099078_2003-07-20_final
2003-08-28 10:08:04	ga_ls7e_ard_3-0-0_100078_2003-08-28_final
2004-02-17 09:35:55	ga_ls7e_ard_3-1-0_095073_2004-02-17_final
2004-05-19 10:03:06	ga_ls7e_ard_3-0-0_099079_2004-05-19_final
2004-05-20 10:44:46	ga_ls7e_ard_3-1-0_106075_2004-05-20_final
2005-01-27 11:13:18	ga_ls7e_ard_3-0-0_110084_2005-01-27_final
2005-02-06 10:08:49	ga_ls7e_ard_3-0-0_100077_2005-02-06_final
2005-02-15 10:02:43	ga_ls7e_ard_3-0-0_099077_2005-02-15_final
2005-03-29 09:01:23	ga_ls7e_ard_3-0-0_089078_2005-03-28_final
2005-07-17 10:51:11	ga_ls7e_ard_3-0-0_107075_2005-07-17_final
2006-04-16 09:57:21	ga_ls7e_ard_3-0-0_098078_2006-04-16_final
2006-12-29 09:02:19	ga_ls7e_ard_3-0-0_089079_2006-12-28_final
2007-10-29 09:02:52	ga_ls7e_ard_3-1-0_089081_2007-10-28_final
2007-12-16 10:39:43	ga_ls7e_ard_3-0-0_105075_2007-12-16_final
2008-01-06 10:55:54	ga_ls7e_ard_3-0-0_108069_2008-01-06_final
2008-07-19 09:46:55	ga_ls7e_ard_3-0-0_097069_2008-07-19_final
2008-10-19 10:16:37	ga_ls7e_ard_3-0-0_101083_2008-10-19_final
2010-04-27 09:59:56	ga_ls7e_ard_3-0-0_098079_2010-04-27_final
2011-03-04 10:04:16	ga_ls7e_ard_3-0-0_099071_2011-03-04_final
2011-07-03 10:00:51	ga_ls7e_ard_3-0-0_098078_2011-07-03_final
2012-01-25 10:13:17	ga_ls7e_ard_3-0-0_100077_2012-01-25_final
2013-04-17 10:15:16	ga_ls7e_ard_3-0-0_100077_2013-04-17_final
2013-05-03 10:15:36	ga_ls7e_ard_3-0-0_100078_2013-05-03_final
2013-07-19 11:25:02	ga_ls7e_ard_3-0-0_111083_2013-07-19_final
2013-11-23 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-11-23_final
2013-12-28 11:09:21	ga_ls7e_ard_3-0-0_109072_2013-12-28_final
2014-05-14 09:30:46	ga_ls7e_ard_3-0-0_092086_2014-05-14_final
2015-07-18 09:45:33	ga_ls7e_ard_3-0-0_094086_2015-07-18_final
2016-06-12 10:22:14	ga_ls7e_ard_3-0-0_100078_2016-06-12_final
2017-03-27 10:21:32	ga_ls7e_ard_3-0-0_100077_2017-03-27_final
2017-05-07 10:15:35	ga_ls7e_ard_3-0-0_099077_2017-05-07_final
2018-01-25 10:21:07	ga_ls7e_ard_3-0-0_100077_2018-01-25_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2018-06-10 09:34:51	ga_ls7e_ard_3-1-0_092090_2018-06-10_final
2020-01-01 09:45:51	ga_ls7e_ard_3-1-0_098072_2020-01-01_final
2020-01-08 09:54:03	ga_ls7e_ard_3-1-0_099078_2020-01-08_final
2021-10-09 09:08:52	ga_ls7e_ard_3-2-0_099078_2021-10-08_final
2021-10-09 09:11:15	ga_ls7e_ard_3-2-0_099084_2021-10-08_final
2021-11-30 08:36:53	ga_ls7e_ard_3-2-1_095072_2021-11-29_final
2022-01-23 09:33:52	ga_ls7e_ard_3-2-1_105073_2022-01-23_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