Search ga_ls5t_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

58 results

Time (local)	Label
1987-07-18 09:22:47	ga_ls5t_ard_3-1-0_097069_1987-07-17_final
1987-10-21 08:49:27	ga_ls5t_ard_3-0-0_090088_1987-10-20_final
1987-12-20 10:48:07	ga_ls5t_ard_3-0-0_110073_1987-12-20_final
1988-02-26 10:28:08	ga_ls5t_ard_3-1-0_106082_1988-02-26_final
1988-04-18 09:58:36	ga_ls5t_ard_3-0-0_102069_1988-04-18_final
1988-10-06 09:46:09	ga_ls5t_ard_3-0-0_099083_1988-10-06_final
1989-03-23 08:57:00	ga_ls5t_ard_3-0-0_091088_1989-03-22_final
1989-05-20 09:28:23	ga_ls5t_ard_3-0-0_097075_1989-05-19_final
1989-05-24 10:42:55	ga_ls5t_ard_3-0-0_109076_1989-05-24_final
1989-07-04 10:38:45	ga_ls5t_ard_3-0-0_108083_1989-07-04_final
1989-08-14 08:54:48	ga_ls5t_ard_3-0-0_091088_1989-08-13_final
1989-09-23 09:39:39	ga_ls5t_ard_3-0-0_099079_1989-09-23_final
1989-11-27 10:21:32	ga_ls5t_ard_3-0-0_106080_1989-11-27_final
1989-12-14 09:21:05	ga_ls5t_ard_3-0-0_097069_1989-12-13_final
1990-02-22 08:44:34	ga_ls5t_ard_3-0-0_091076_1990-02-21_final
1990-05-13 10:22:49	ga_ls5t_ard_3-0-0_107077_1990-05-13_final
1990-05-24 08:27:19	ga_ls5t_ard_3-0-0_088082_1990-05-23_final
1990-05-25 10:45:51	ga_ls5t_ard_3-0-0_111073_1990-05-25_final
1990-07-16 08:48:58	ga_ls5t_ard_3-0-0_091090_1990-07-15_final
1991-01-23 09:39:22	ga_ls5t_ard_3-0-0_100076_1991-01-23_final
1991-02-17 11:12:04	ga_ls5t_ard_3-0-0_115075_1991-02-17_final
1991-02-18 08:43:10	ga_ls5t_ard_3-0-0_090089_1991-02-17_final
1991-06-17 08:49:44	ga_ls5t_ard_3-0-0_091085_1991-06-16_final
1991-07-11 09:33:56	ga_ls5t_ard_3-0-0_099071_1991-07-11_final
1992-04-18 10:10:33	ga_ls5t_ard_3-0-0_105068_1992-04-18_final
1992-09-08 11:08:02	ga_ls5t_ard_3-0-0_114077_1992-09-08_final
1993-02-23 10:15:09	ga_ls5t_ard_3-0-0_106069_1993-02-23_final
1993-11-11 10:38:54	ga_ls5t_ard_3-0-0_109082_1993-11-11_final
1994-04-27 10:40:10	ga_ls5t_ard_3-0-0_110075_1994-04-27_final
1994-05-16 09:33:26	ga_ls5t_ard_3-0-0_099079_1994-05-16_final
1994-07-27 08:46:41	ga_ls5t_ard_3-0-0_091090_1994-07-26_final
1994-12-09 08:47:42	ga_ls5t_ard_3-0-0_092087_1994-12-08_final
1995-10-14 08:46:51	ga_ls5t_ard_3-0-0_095072_1995-10-13_final
1995-11-02 09:16:26	ga_ls5t_ard_3-0-0_100071_1995-11-01_final
1996-06-06 09:23:02	ga_ls5t_ard_3-0-0_099071_1996-06-05_final
1996-11-07 10:07:01	ga_ls5t_ard_3-0-0_105068_1996-11-07_final
1997-10-15 09:43:33	ga_ls5t_ard_3-0-0_099070_1997-10-15_final
1998-07-16 09:41:48	ga_ls5t_ard_3-0-0_097084_1998-07-16_final
1998-08-17 11:20:31	ga_ls5t_ard_3-0-0_113083_1998-08-17_final
1999-02-20 10:56:22	ga_ls5t_ard_3-0-0_110067_1999-02-20_final
1999-03-03 10:40:33	ga_ls5t_ard_3-0-0_107074_1999-03-03_final
2003-09-04 10:51:01	ga_ls5t_ard_3-0-0_109074_2003-09-04_final
2003-09-07 09:40:42	ga_ls5t_ard_3-0-0_098068_2003-09-07_final
2004-01-04 09:49:05	ga_ls5t_ard_3-0-0_099070_2004-01-04_final
2004-01-20 09:51:55	ga_ls5t_ard_3-0-0_099077_2004-01-20_final
2004-10-04 09:48:12	ga_ls5t_ard_3-0-0_097085_2004-10-04_final
2005-01-27 10:19:31	ga_ls5t_ard_3-0-0_102081_2005-01-27_final
2005-08-19 10:43:38	ga_ls5t_ard_3-0-0_106075_2005-08-19_final
2007-01-10 10:17:56	ga_ls5t_ard_3-0-0_101071_2007-01-10_final
2007-04-25 10:11:38	ga_ls5t_ard_3-0-0_100071_2007-04-25_final
2007-09-09 10:03:04	ga_ls5t_ard_3-0-0_099069_2007-09-09_final
2007-09-13 09:39:55	ga_ls5t_ard_3-0-0_095073_2007-09-13_final
2008-12-16 09:54:11	ga_ls5t_ard_3-0-0_099069_2008-12-16_final
2009-01-04 10:30:47	ga_ls5t_ard_3-1-0_104082_2009-01-04_final
2009-05-19 10:37:38	ga_ls5t_ard_3-0-0_105076_2009-05-19_final
2009-12-08 10:23:48	ga_ls5t_ard_3-0-0_102081_2009-12-08_final
2010-05-12 10:03:55	ga_ls5t_ard_3-0-0_099077_2010-05-12_final
2011-01-28 10:23:12	ga_ls5t_ard_3-0-0_102081_2011-01-28_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years