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

65 results

Time (local)	Label
1987-05-29 09:34:06	ga_ls5t_ard_3-0-0_099069_1987-05-29_final
1987-10-08 10:53:01	ga_ls5t_ard_3-0-0_111073_1987-10-08_final
1988-01-24 09:43:09	ga_ls5t_ard_3-0-0_099079_1988-01-24_final
1988-05-31 09:44:48	ga_ls5t_ard_3-0-0_099080_1988-05-31_final
1988-10-18 10:09:59	ga_ls5t_ard_3-0-0_103081_1988-10-18_final
1989-02-25 09:57:19	ga_ls5t_ard_3-0-0_101082_1989-02-25_final
1989-03-04 10:02:34	ga_ls5t_ard_3-0-0_102080_1989-03-04_final
1989-07-06 08:49:26	ga_ls5t_ard_3-0-0_090088_1989-07-05_final
1989-12-02 10:38:46	ga_ls5t_ard_3-0-0_109077_1989-12-02_final
1990-08-24 08:48:33	ga_ls5t_ard_3-1-0_092074_1990-08-23_final
1990-10-27 08:53:45	ga_ls5t_ard_3-0-0_092088_1990-10-26_final
1990-12-31 09:29:20	ga_ls5t_ard_3-1-0_099068_1990-12-30_final
1991-05-16 08:45:17	ga_ls5t_ard_3-1-0_091075_1991-05-15_final
1991-11-16 09:37:20	ga_ls5t_ard_3-0-0_099077_1991-11-16_final
1991-11-26 08:36:25	ga_ls5t_ard_3-0-0_089079_1991-11-25_final
1992-05-11 10:16:31	ga_ls5t_ard_3-0-0_106068_1992-05-11_final
1992-08-06 10:24:29	ga_ls5t_ard_3-0-0_107075_1992-08-06_final
1993-01-12 09:38:30	ga_ls5t_ard_3-0-0_100071_1993-01-12_final
1993-02-06 09:31:01	ga_ls5t_ard_3-0-0_099067_1993-02-06_final
1993-03-06 09:57:58	ga_ls5t_ard_3-0-0_103072_1993-03-06_final
1993-03-10 09:32:29	ga_ls5t_ard_3-0-0_099070_1993-03-10_final
1993-03-10 09:33:17	ga_ls5t_ard_3-0-0_099072_1993-03-10_final
1993-03-10 11:14:33	ga_ls5t_ard_3-0-0_115078_1993-03-10_final
1993-06-05 09:39:28	ga_ls5t_ard_3-0-0_100071_1993-06-05_final
1993-07-10 10:15:00	ga_ls5t_ard_3-1-0_105083_1993-07-10_final
1993-09-05 10:08:23	ga_ls5t_ard_3-0-0_104082_1993-09-05_final
1994-01-28 09:08:03	ga_ls5t_ard_3-0-0_095073_1994-01-27_final
1994-12-04 08:26:07	ga_ls5t_ard_3-0-0_089079_1994-12-03_final
1995-03-20 08:56:26	ga_ls5t_ard_3-0-0_095072_1995-03-19_final
1995-05-13 08:19:26	ga_ls5t_ard_3-0-0_089078_1995-05-12_final
1995-08-29 10:16:55	ga_ls5t_ard_3-0-0_109075_1995-08-29_final
1996-01-14 09:12:43	ga_ls5t_ard_3-0-0_099068_1996-01-13_final
1996-04-13 09:58:10	ga_ls5t_ard_3-0-0_105074_1996-04-13_final
1996-05-29 08:34:44	ga_ls5t_ard_3-1-0_091075_1996-05-28_final
1996-09-26 11:10:43	ga_ls5t_ard_3-0-0_115078_1996-09-26_final
1996-12-31 11:14:11	ga_ls5t_ard_3-0-0_115075_1996-12-31_final
1997-01-08 10:23:31	ga_ls5t_ard_3-0-0_107071_1997-01-08_final
1997-02-12 09:17:06	ga_ls5t_ard_3-0-0_096071_1997-02-11_final
1997-07-24 10:50:40	ga_ls5t_ard_3-0-0_110074_1997-07-24_final
1997-08-25 10:51:42	ga_ls5t_ard_3-0-0_110074_1997-08-25_final
1998-02-25 10:09:57	ga_ls5t_ard_3-0-0_102082_1998-02-25_final
1998-06-28 09:51:56	ga_ls5t_ard_3-0-0_099079_1998-06-28_final
1998-08-05 10:52:53	ga_ls5t_ard_3-0-0_109076_1998-08-05_final
1999-02-24 08:56:44	ga_ls5t_ard_3-0-0_090077_1999-02-23_final
1999-08-18 11:29:34	ga_ls5t_ard_3-0-0_115077_1999-08-18_final
2003-08-23 10:26:30	ga_ls5t_ard_3-0-0_105075_2003-08-23_final
2003-10-26 10:27:26	ga_ls5t_ard_3-0-0_105075_2003-10-26_final
2003-12-04 10:32:30	ga_ls5t_ard_3-0-0_106071_2003-12-04_final
2004-01-21 08:56:18	ga_ls5t_ard_3-0-0_090077_2004-01-20_final
2004-02-22 09:00:04	ga_ls5t_ard_3-0-0_090086_2004-02-21_final
2005-02-13 11:00:15	ga_ls5t_ard_3-0-0_109074_2005-02-13_final
2005-03-27 11:39:27	ga_ls5t_ard_3-0-0_115078_2005-03-27_final
2006-01-20 09:40:30	ga_ls5t_ard_3-0-0_096067_2006-01-20_final
2006-01-30 10:23:25	ga_ls5t_ard_3-0-0_102081_2006-01-30_final
2006-12-22 09:52:06	ga_ls5t_ard_3-0-0_096084_2006-12-22_final
2007-06-27 11:09:32	ga_ls5t_ard_3-0-0_109079_2007-06-27_final
2008-01-19 09:40:39	ga_ls5t_ard_3-0-0_095080_2008-01-19_final
2008-03-19 10:03:28	ga_ls5t_ard_3-0-0_099078_2008-03-19_final
2008-12-23 10:01:46	ga_ls5t_ard_3-0-0_100072_2008-12-23_final
2009-02-21 10:26:27	ga_ls5t_ard_3-0-0_104068_2009-02-21_final
2009-03-14 09:13:23	ga_ls5t_ard_3-0-0_091085_2009-03-13_final
2009-09-13 09:21:35	ga_ls5t_ard_3-0-0_092082_2009-09-12_final
2009-12-13 10:37:12	ga_ls5t_ard_3-0-0_105068_2009-12-13_final
2010-04-26 11:42:26	ga_ls5t_ard_3-0-0_115076_2010-04-26_final
2010-11-02 10:15:19	ga_ls5t_ard_3-0-0_101077_2010-11-02_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