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
1987-10-04 09:39:59	ga_ls5t_ard_3-0-0_099076_1987-10-04_final
1988-01-24 09:42:45	ga_ls5t_ard_3-0-0_099078_1988-01-24_final
1988-08-10 09:50:24	ga_ls5t_ard_3-0-0_100078_1988-08-10_final
1990-03-09 09:40:02	ga_ls5t_ard_3-0-0_100077_1990-03-09_final
1990-08-10 08:40:40	ga_ls5t_ard_3-0-0_090085_1990-08-09_final
1991-05-22 09:45:38	ga_ls5t_ard_3-0-0_101071_1991-05-22_final
1991-09-15 11:05:56	ga_ls5t_ard_3-0-0_113083_1991-09-15_final
1991-10-30 10:31:41	ga_ls5t_ard_3-0-0_108074_1991-10-30_final
1991-11-17 08:46:06	ga_ls5t_ard_3-0-0_090088_1991-11-16_final
1992-03-31 10:25:26	ga_ls5t_ard_3-0-0_107074_1992-03-31_final
1992-05-19 09:31:47	ga_ls5t_ard_3-0-0_098080_1992-05-19_final
1992-10-05 09:08:51	ga_ls5t_ard_3-0-0_095074_1992-10-04_final
1993-01-15 08:34:32	ga_ls5t_ard_3-0-0_089081_1993-01-14_final
1993-03-18 10:23:56	ga_ls5t_ard_3-0-0_107075_1993-03-18_final
1993-06-29 08:56:17	ga_ls5t_ard_3-0-0_092087_1993-06-28_final
1994-07-08 09:47:36	ga_ls5t_ard_3-0-0_102071_1994-07-08_final
1994-08-04 09:30:42	ga_ls5t_ard_3-0-0_099077_1994-08-04_final
1994-08-13 09:24:43	ga_ls5t_ard_3-0-0_098078_1994-08-12_final
1994-08-20 11:09:37	ga_ls5t_ard_3-0-0_115078_1994-08-20_final
1994-11-23 10:21:51	ga_ls5t_ard_3-0-0_108074_1994-11-23_final
1995-01-23 09:51:20	ga_ls5t_ard_3-0-0_103080_1995-01-23_final
1995-01-27 09:26:03	ga_ls5t_ard_3-0-0_099079_1995-01-26_final
1995-04-21 10:34:23	ga_ls5t_ard_3-0-0_111073_1995-04-21_final
1995-06-10 08:46:02	ga_ls5t_ard_3-0-0_093086_1995-06-09_final
1995-08-07 09:17:20	ga_ls5t_ard_3-0-0_099078_1995-08-06_final
1995-08-31 08:31:10	ga_ls5t_ard_3-0-0_091089_1995-08-30_final
1995-11-01 10:13:39	ga_ls5t_ard_3-0-0_109075_1995-11-01_final
1996-05-03 09:36:15	ga_ls5t_ard_3-0-0_101078_1996-05-03_final
1996-08-06 09:01:21	ga_ls5t_ard_3-0-0_094086_1996-08-05_final
1996-11-04 09:39:10	ga_ls5t_ard_3-0-0_100076_1996-11-04_final
1997-09-03 10:45:47	ga_ls5t_ard_3-0-0_109074_1997-09-03_final
1997-10-15 09:43:33	ga_ls5t_ard_3-0-0_099070_1997-10-15_final
1997-10-25 10:20:07	ga_ls5t_ard_3-0-0_105068_1997-10-25_final
1997-11-06 10:47:33	ga_ls5t_ard_3-0-0_109074_1997-11-06_final
1998-02-24 11:01:58	ga_ls5t_ard_3-0-0_111073_1998-02-24_final
1998-05-11 11:29:23	ga_ls5t_ard_3-0-0_115077_1998-05-11_final
1999-05-22 10:40:04	ga_ls5t_ard_3-0-0_107075_1999-05-22_final
1999-05-29 10:46:05	ga_ls5t_ard_3-0-0_108075_1999-05-29_final
1999-08-02 09:51:38	ga_ls5t_ard_3-0-0_099079_1999-08-02_final
2003-09-06 10:39:06	ga_ls5t_ard_3-0-0_107075_2003-09-06_final
2003-11-18 10:33:08	ga_ls5t_ard_3-0-0_106073_2003-11-18_final
2003-12-23 11:04:46	ga_ls5t_ard_3-0-0_111074_2003-12-23_final
2003-12-24 10:07:33	ga_ls5t_ard_3-0-0_102070_2003-12-24_final
2004-04-17 10:41:30	ga_ls5t_ard_3-0-0_107075_2004-04-17_final
2004-07-06 10:43:49	ga_ls5t_ard_3-0-0_107075_2004-07-06_final
2004-07-24 10:33:07	ga_ls5t_ard_3-0-0_105078_2004-07-24_final
2004-12-12 10:04:08	ga_ls5t_ard_3-0-0_100075_2004-12-12_final
2005-03-03 10:48:34	ga_ls5t_ard_3-0-0_107075_2005-03-03_final
2005-05-22 10:49:07	ga_ls5t_ard_3-0-0_107075_2005-05-22_final
2005-05-22 10:49:31	ga_ls5t_ard_3-0-0_107076_2005-05-22_final
2005-05-31 10:43:01	ga_ls5t_ard_3-0-0_106075_2005-05-31_final
2005-09-11 10:49:54	ga_ls5t_ard_3-0-0_107075_2005-09-11_final
2005-10-13 10:49:48	ga_ls5t_ard_3-0-0_107075_2005-10-13_final
2005-10-23 09:47:12	ga_ls5t_ard_3-0-0_097073_2005-10-23_final
2007-03-21 11:20:36	ga_ls5t_ard_3-0-0_111073_2007-03-21_final
2008-09-28 10:37:27	ga_ls5t_ard_3-0-0_106068_2008-09-28_final
2009-05-19 09:02:20	ga_ls5t_ard_3-0-0_089085_2009-05-18_final
2011-10-22 10:00:42	ga_ls5t_ard_3-0-0_099076_2011-10-22_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