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

68 results

Time (local)	Label
1987-12-23 09:44:10	ga_ls5t_ard_3-0-0_099083_1987-12-23_final
1987-12-24 10:26:15	ga_ls5t_ard_3-0-0_106080_1987-12-24_final
1988-03-13 10:24:41	ga_ls5t_ard_3-0-0_106073_1988-03-13_final
1988-05-22 09:49:44	ga_ls5t_ard_3-0-0_100077_1988-05-22_final
1988-08-19 09:43:51	ga_ls5t_ard_3-0-0_099077_1988-08-19_final
1989-02-21 08:42:03	ga_ls5t_ard_3-0-0_089079_1989-02-20_final
1990-03-11 11:06:07	ga_ls5t_ard_3-0-0_114076_1990-03-11_final
1990-03-16 09:43:37	ga_ls5t_ard_3-0-0_101071_1990-03-16_final
1990-06-07 08:41:16	ga_ls5t_ard_3-0-0_090086_1990-06-06_final
1990-09-21 09:10:22	ga_ls5t_ard_3-0-0_096067_1990-09-20_final
1990-11-23 08:33:30	ga_ls5t_ard_3-0-0_089084_1990-11-22_final
1991-04-23 10:15:36	ga_ls5t_ard_3-0-0_106070_1991-04-23_final
1991-05-10 09:26:18	ga_ls5t_ard_3-0-0_097085_1991-05-09_final
1991-07-10 10:30:45	ga_ls5t_ard_3-0-0_108074_1991-07-10_final
1991-09-23 10:16:33	ga_ls5t_ard_3-1-0_105083_1991-09-23_final
1991-10-31 09:34:27	ga_ls5t_ard_3-0-0_099070_1991-10-31_final
1991-12-03 10:22:01	ga_ls5t_ard_3-0-0_106080_1991-12-03_final
1992-01-07 09:11:51	ga_ls5t_ard_3-0-0_095075_1992-01-06_final
1992-03-13 10:39:05	ga_ls5t_ard_3-0-0_109077_1992-03-13_final
1992-07-11 09:48:32	ga_ls5t_ard_3-0-0_101077_1992-07-11_final
1992-12-12 08:44:57	ga_ls5t_ard_3-0-0_091077_1992-12-11_final
1993-05-28 10:30:05	ga_ls5t_ard_3-0-0_108074_1993-05-28_final
1993-12-27 09:06:05	ga_ls5t_ard_3-0-0_095067_1993-12-26_final
1994-02-08 10:28:41	ga_ls5t_ard_3-0-0_108074_1994-02-08_final
1994-02-22 09:01:57	ga_ls5t_ard_3-0-0_094074_1994-02-21_final
1994-08-22 09:19:07	ga_ls5t_ard_3-0-0_097080_1994-08-21_final
1994-09-23 09:19:54	ga_ls5t_ard_3-0-0_097084_1994-09-22_final
1994-12-21 09:04:03	ga_ls5t_ard_3-0-0_096067_1994-12-20_final
1995-07-14 10:06:38	ga_ls5t_ard_3-0-0_107075_1995-07-14_final
1995-08-06 10:10:12	ga_ls5t_ard_3-0-0_108071_1995-08-06_final
1995-08-15 10:05:12	ga_ls5t_ard_3-0-0_107075_1995-08-15_final
1996-04-14 08:59:49	ga_ls5t_ard_3-0-0_096067_1996-04-13_final
1996-08-08 10:23:11	ga_ls5t_ard_3-0-0_108074_1996-08-08_final
1996-09-18 10:19:38	ga_ls5t_ard_3-0-0_107075_1996-09-18_final
1996-09-19 09:27:16	ga_ls5t_ard_3-0-0_098083_1996-09-18_final
1996-10-22 08:31:21	ga_ls5t_ard_3-0-0_089078_1996-10-21_final
1996-11-21 10:22:48	ga_ls5t_ard_3-0-0_107075_1996-11-21_final
1996-11-29 09:31:46	ga_ls5t_ard_3-0-0_099070_1996-11-29_final
1997-01-16 09:34:03	ga_ls5t_ard_3-0-0_099070_1997-01-16_final
1997-06-17 10:31:15	ga_ls5t_ard_3-0-0_107075_1997-06-17_final
1997-08-25 10:51:42	ga_ls5t_ard_3-0-0_110074_1997-08-25_final
1997-11-15 10:39:58	ga_ls5t_ard_3-0-0_108070_1997-11-15_final
1998-01-06 10:15:43	ga_ls5t_ard_3-0-0_104068_1998-01-06_final
1998-05-22 09:28:07	ga_ls5t_ard_3-1-0_096067_1998-05-21_final
1998-06-23 09:28:32	ga_ls5t_ard_3-0-0_096067_1998-06-22_final
1998-08-12 10:58:44	ga_ls5t_ard_3-0-0_110075_1998-08-12_final
1998-08-30 10:46:11	ga_ls5t_ard_3-0-0_108074_1998-08-30_final
1998-10-15 09:17:02	ga_ls5t_ard_3-0-0_094067_1998-10-14_final
1999-05-09 09:29:12	ga_ls5t_ard_3-0-0_096067_1999-05-08_final
2003-10-08 10:39:34	ga_ls5t_ard_3-0-0_107075_2003-10-08_final
2004-05-24 10:57:54	ga_ls5t_ard_3-0-0_110067_2004-05-24_final
2004-06-29 10:37:51	ga_ls5t_ard_3-0-0_106076_2004-06-29_final
2004-10-13 09:35:02	ga_ls5t_ard_3-0-0_096067_2004-10-13_final
2005-07-11 09:01:00	ga_ls5t_ard_3-0-0_089082_2005-07-10_final
2005-08-11 09:52:57	ga_ls5t_ard_3-0-0_098072_2005-08-11_final
2005-09-13 09:04:15	ga_ls5t_ard_3-0-0_089089_2005-09-12_final
2005-09-21 09:49:17	ga_ls5t_ard_3-0-0_097078_2005-09-21_final
2006-04-10 09:42:11	ga_ls5t_ard_3-0-0_096067_2006-04-10_final
2007-08-03 09:44:05	ga_ls5t_ard_3-0-0_096067_2007-08-03_final
2007-08-07 11:05:00	ga_ls5t_ard_3-0-0_108084_2007-08-07_final
2008-11-18 09:27:46	ga_ls5t_ard_3-1-0_095067_2008-11-17_final
2009-08-20 10:08:41	ga_ls5t_ard_3-0-0_100077_2009-08-20_final
2009-09-14 10:03:15	ga_ls5t_ard_3-0-0_099078_2009-09-14_final
2010-07-15 10:00:50	ga_ls5t_ard_3-0-0_099070_2010-07-15_final
2010-09-28 09:40:42	ga_ls5t_ard_3-0-0_096067_2010-09-28_final
2010-10-30 09:40:24	ga_ls5t_ard_3-0-0_096067_2010-10-30_final
2010-11-02 10:15:19	ga_ls5t_ard_3-0-0_101077_2010-11-02_final
2011-10-15 09:51:47	ga_ls5t_ard_3-0-0_098069_2011-10-15_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