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

61 results

Time (local)	Label
1987-05-28 10:31:41	ga_ls5t_ard_3-0-0_108074_1987-05-28_final
1987-10-19 10:35:04	ga_ls5t_ard_3-0-0_108074_1987-10-19_final
1987-11-20 10:35:43	ga_ls5t_ard_3-0-0_108074_1987-11-20_final
1988-03-03 09:49:06	ga_ls5t_ard_3-0-0_100077_1988-03-03_final
1988-10-22 09:42:04	ga_ls5t_ard_3-0-0_099073_1988-10-22_final
1989-03-22 09:48:16	ga_ls5t_ard_3-0-0_100077_1989-03-22_final
1989-04-13 10:47:26	ga_ls5t_ard_3-0-0_110070_1989-04-13_final
1989-04-23 09:48:11	ga_ls5t_ard_3-0-0_100077_1989-04-23_final
1989-05-19 10:26:00	ga_ls5t_ard_3-0-0_106080_1989-05-19_final
1989-06-27 08:56:12	ga_ls5t_ard_3-0-0_091089_1989-06-26_final
1989-07-16 09:17:57	ga_ls5t_ard_3-0-0_096067_1989-07-15_final
1990-11-12 10:27:03	ga_ls5t_ard_3-0-0_108074_1990-11-12_final
1991-02-19 09:21:16	ga_ls5t_ard_3-0-0_097076_1991-02-18_final
1991-10-14 10:31:40	ga_ls5t_ard_3-0-0_108074_1991-10-14_final
1992-02-19 10:31:41	ga_ls5t_ard_3-0-0_108074_1992-02-19_final
1992-04-23 10:31:24	ga_ls5t_ard_3-0-0_108074_1992-04-23_final
1992-07-11 09:50:56	ga_ls5t_ard_3-0-0_101083_1992-07-11_final
1992-10-18 08:42:10	ga_ls5t_ard_3-0-0_090085_1992-10-17_final
1993-07-24 10:23:21	ga_ls5t_ard_3-0-0_107073_1993-07-24_final
1993-11-20 10:29:27	ga_ls5t_ard_3-0-0_108074_1993-11-20_final
1993-12-27 10:50:33	ga_ls5t_ard_3-0-0_111081_1993-12-27_final
1994-05-01 08:42:05	ga_ls5t_ard_3-0-0_090089_1994-04-30_final
1994-06-16 10:26:27	ga_ls5t_ard_3-0-0_108074_1994-06-16_final
1994-09-14 09:21:32	ga_ls5t_ard_3-0-0_098072_1994-09-13_final
1994-12-25 10:20:53	ga_ls5t_ard_3-0-0_108074_1994-12-25_final
1995-10-09 10:08:16	ga_ls5t_ard_3-0-0_108074_1995-10-09_final
1996-03-01 08:35:05	ga_ls5t_ard_3-1-0_092074_1996-02-29_final
1996-03-15 08:52:45	ga_ls5t_ard_3-0-0_094085_1996-03-14_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1996-11-24 09:11:47	ga_ls5t_ard_3-0-0_096067_1996-11-23_final
1997-03-02 10:44:22	ga_ls5t_ard_3-0-0_110071_1997-03-02_final
1997-04-12 10:40:55	ga_ls5t_ard_3-0-0_109074_1997-04-12_final
1997-04-14 10:29:02	ga_ls5t_ard_3-0-0_107075_1997-04-14_final
1997-07-19 10:32:21	ga_ls5t_ard_3-0-0_107075_1997-07-19_final
1997-08-20 10:33:24	ga_ls5t_ard_3-0-0_107075_1997-08-20_final
1998-02-28 10:38:06	ga_ls5t_ard_3-0-0_107075_1998-02-28_final
1998-09-25 09:48:57	ga_ls5t_ard_3-0-0_098085_1998-09-25_final
1998-11-11 10:40:46	ga_ls5t_ard_3-0-0_107075_1998-11-11_final
1999-04-09 09:22:06	ga_ls5t_ard_3-0-0_094080_1999-04-08_final
2003-08-30 10:33:13	ga_ls5t_ard_3-0-0_106076_2003-08-30_final
2004-10-03 10:40:13	ga_ls5t_ard_3-1-0_106076_2004-10-03_final
2004-11-10 10:04:18	ga_ls5t_ard_3-0-0_100077_2004-11-10_final
2005-02-11 09:33:17	ga_ls5t_ard_3-0-0_095073_2005-02-11_final
2005-02-28 10:14:50	ga_ls5t_ard_3-0-0_102068_2005-02-28_final
2005-04-27 10:53:55	ga_ls5t_ard_3-0-0_108072_2005-04-27_final
2005-05-09 09:37:50	ga_ls5t_ard_3-1-0_096067_2005-05-09_final
2006-10-03 09:44:36	ga_ls5t_ard_3-0-0_096067_2006-10-03_final
2006-12-06 09:45:11	ga_ls5t_ard_3-0-0_096067_2006-12-06_final
2007-02-26 09:36:00	ga_ls5t_ard_3-0-0_094074_2007-02-26_final
2007-05-29 09:58:29	ga_ls5t_ard_3-0-0_098070_2007-05-29_final
2007-08-19 11:29:36	ga_ls5t_ard_3-0-0_112084_2007-08-19_final
2008-10-08 09:34:55	ga_ls5t_ard_3-0-0_096067_2008-10-08_final
2009-02-27 09:56:18	ga_ls5t_ard_3-0-0_098085_2009-02-27_final
2009-04-22 10:58:03	ga_ls5t_ard_3-0-0_108082_2009-04-22_final
2009-05-09 09:56:46	ga_ls5t_ard_3-1-0_099067_2009-05-09_final
2010-01-18 10:13:53	ga_ls5t_ard_3-0-0_101071_2010-01-18_final
2011-02-01 09:57:41	ga_ls5t_ard_3-0-0_098079_2011-02-01_final
2011-02-09 10:43:33	ga_ls5t_ard_3-0-0_106070_2011-02-09_final
2011-08-30 09:39:18	ga_ls5t_ard_3-0-0_096067_2011-08-30_final
2011-09-04 10:01:46	ga_ls5t_ard_3-0-0_099077_2011-09-04_final
2011-10-19 09:26:14	ga_ls5t_ard_3-0-0_094067_2011-10-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years