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

56 results

Time (local)	Label
1987-07-14 09:52:37	ga_ls5t_ard_3-0-0_101082_1987-07-14_final
1988-01-22 09:55:04	ga_ls5t_ard_3-0-0_101078_1988-01-22_final
1988-07-11 09:35:14	ga_ls5t_ard_3-0-0_098071_1988-07-11_final
1988-11-23 09:44:55	ga_ls5t_ard_3-0-0_099080_1988-11-23_final
1988-12-23 09:57:46	ga_ls5t_ard_3-0-0_101082_1988-12-23_final
1989-03-06 09:49:44	ga_ls5t_ard_3-0-0_100079_1989-03-06_final
1989-03-16 08:51:08	ga_ls5t_ard_3-0-0_090088_1989-03-15_final
1989-06-17 09:52:31	ga_ls5t_ard_3-0-0_101075_1989-06-17_final
1989-08-16 08:38:48	ga_ls5t_ard_3-0-0_089079_1989-08-15_final
1989-12-21 09:30:38	ga_ls5t_ard_3-0-0_098078_1989-12-21_final
1990-04-28 09:28:17	ga_ls5t_ard_3-0-0_098080_1990-04-27_final
1990-07-14 10:33:50	ga_ls5t_ard_3-0-0_109074_1990-07-14_final
1991-01-31 10:31:19	ga_ls5t_ard_3-0-0_108082_1991-01-31_final
1991-02-01 09:31:41	ga_ls5t_ard_3-0-0_099072_1991-02-01_final
1991-04-26 10:51:44	ga_ls5t_ard_3-0-0_111083_1991-04-26_final
1991-12-02 11:16:02	ga_ls5t_ard_3-0-0_115076_1991-12-02_final
1992-03-13 10:38:41	ga_ls5t_ard_3-0-0_109076_1992-03-13_final
1992-08-28 09:50:14	ga_ls5t_ard_3-0-0_101083_1992-08-28_final
1993-04-29 11:04:04	ga_ls5t_ard_3-0-0_113082_1993-04-29_final
1993-09-20 11:00:46	ga_ls5t_ard_3-0-0_113074_1993-09-20_final
1994-03-03 10:34:55	ga_ls5t_ard_3-0-0_109075_1994-03-03_final
1994-03-22 09:27:27	ga_ls5t_ard_3-0-0_098077_1994-03-21_final
1994-10-17 08:27:43	ga_ls5t_ard_3-0-0_089079_1994-10-16_final
1996-06-07 10:06:45	ga_ls5t_ard_3-0-0_106072_1996-06-07_final
1996-11-20 09:38:42	ga_ls5t_ard_3-0-0_100073_1996-11-20_final
1996-12-14 08:52:25	ga_ls5t_ard_3-0-0_092078_1996-12-13_final
1997-01-04 10:48:51	ga_ls5t_ard_3-0-0_111073_1997-01-04_final
1997-02-07 08:57:09	ga_ls5t_ard_3-1-0_093068_1997-02-06_final
1997-04-02 10:01:05	ga_ls5t_ard_3-0-0_103068_1997-04-02_final
1997-12-13 11:10:59	ga_ls5t_ard_3-0-0_112084_1997-12-13_final
1998-02-20 09:47:44	ga_ls5t_ard_3-0-0_099073_1998-02-20_final
1998-11-27 09:02:18	ga_ls5t_ard_3-0-0_091076_1998-11-26_final
1999-02-23 11:31:39	ga_ls5t_ard_3-0-0_115078_1999-02-23_final
1999-05-02 11:07:34	ga_ls5t_ard_3-0-0_111081_1999-05-02_final
1999-07-12 11:14:00	ga_ls5t_ard_3-0-0_112084_1999-07-12_final
1999-08-24 09:12:17	ga_ls5t_ard_3-0-0_093074_1999-08-23_final
2003-07-05 09:40:47	ga_ls5t_ard_3-0-0_098071_2003-07-05_final
2003-08-29 09:49:56	ga_ls5t_ard_3-0-0_099076_2003-08-29_final
2004-01-04 09:49:53	ga_ls5t_ard_3-0-0_099072_2004-01-04_final
2005-05-21 10:07:03	ga_ls5t_ard_3-0-0_100078_2005-05-21_final
2005-06-03 11:13:09	ga_ls5t_ard_3-0-0_111073_2005-06-03_final
2005-07-09 09:15:44	ga_ls5t_ard_3-0-0_091088_2005-07-08_final
2005-09-12 09:57:28	ga_ls5t_ard_3-0-0_098083_2005-09-12_final
2005-09-16 09:33:33	ga_ls5t_ard_3-0-0_094085_2005-09-16_final
2006-08-09 11:19:02	ga_ls5t_ard_3-0-0_111073_2006-08-09_final
2007-01-07 09:52:13	ga_ls5t_ard_3-0-0_096084_2007-01-07_final
2007-08-07 09:26:55	ga_ls5t_ard_3-0-0_092086_2007-08-06_final
2008-03-16 09:30:38	ga_ls5t_ard_3-0-0_094073_2008-03-16_final
2008-10-17 09:30:26	ga_ls5t_ard_3-0-0_095072_2008-10-17_final
2008-12-01 09:01:17	ga_ls5t_ard_3-0-0_090077_2008-11-30_final
2008-12-17 09:06:34	ga_ls5t_ard_3-0-0_090089_2008-12-16_final
2008-12-28 10:20:26	ga_ls5t_ard_3-0-0_103072_2008-12-28_final
2009-09-30 10:03:03	ga_ls5t_ard_3-0-0_099077_2009-09-30_final
2009-10-15 10:58:02	ga_ls5t_ard_3-0-0_108075_2009-10-15_final
2010-03-23 10:18:26	ga_ls5t_ard_3-0-0_101082_2010-03-23_final
2011-08-31 10:22:57	ga_ls5t_ard_3-0-0_103068_2011-08-31_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