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
1987-12-07 09:38:21	ga_ls5t_ard_3-0-0_099069_1987-12-07_final
1987-12-18 09:21:34	ga_ls5t_ard_3-0-0_096073_1987-12-17_final
1988-02-15 09:10:03	ga_ls5t_ard_3-1-0_093088_1988-02-14_final
1988-03-06 10:16:27	ga_ls5t_ard_3-0-0_105068_1988-03-06_final
1988-05-07 08:53:11	ga_ls5t_ard_3-1-0_091075_1988-05-06_final
1988-07-09 09:49:34	ga_ls5t_ard_3-0-0_100076_1988-07-09_final
1988-12-10 08:51:07	ga_ls5t_ard_3-0-0_090085_1988-12-09_final
1988-12-18 09:34:29	ga_ls5t_ard_3-0-0_098070_1988-12-18_final
1989-02-25 09:57:43	ga_ls5t_ard_3-0-0_101083_1989-02-25_final
1989-02-26 09:00:06	ga_ls5t_ard_3-0-0_092078_1989-02-25_final
1989-02-27 11:20:38	ga_ls5t_ard_3-0-0_115074_1989-02-27_final
1989-08-12 09:06:25	ga_ls5t_ard_3-0-0_093086_1989-08-11_final
1990-04-21 09:21:24	ga_ls5t_ard_3-0-0_097078_1990-04-20_final
1990-05-31 08:33:53	ga_ls5t_ard_3-0-0_089083_1990-05-30_final
1990-09-27 10:12:54	ga_ls5t_ard_3-0-0_106069_1990-09-27_final
1990-10-27 09:30:13	ga_ls5t_ard_3-1-0_099071_1990-10-27_final
1990-12-15 09:28:55	ga_ls5t_ard_3-0-0_099068_1990-12-14_final
1991-05-17 09:26:58	ga_ls5t_ard_3-0-0_098071_1991-05-16_final
1991-05-21 10:42:50	ga_ls5t_ard_3-0-0_110075_1991-05-21_final
1991-10-01 09:21:32	ga_ls5t_ard_3-1-0_097069_1991-09-30_final
1991-12-13 10:56:43	ga_ls5t_ard_3-0-0_112074_1991-12-13_final
1992-01-29 10:13:20	ga_ls5t_ard_3-0-0_105074_1992-01-29_final
1992-02-20 11:16:33	ga_ls5t_ard_3-0-0_115078_1992-02-20_final
1992-05-23 10:43:54	ga_ls5t_ard_3-0-0_110075_1992-05-23_final
1992-06-07 10:02:55	ga_ls5t_ard_3-0-0_103081_1992-06-07_final
1992-09-26 10:57:44	ga_ls5t_ard_3-0-0_112083_1992-09-26_final
1992-10-18 10:14:16	ga_ls5t_ard_3-0-0_106068_1992-10-18_final
1993-01-17 09:56:18	ga_ls5t_ard_3-0-0_103069_1993-01-17_final
1993-02-11 09:50:00	ga_ls5t_ard_3-1-0_102068_1993-02-11_final
1993-02-21 08:51:26	ga_ls5t_ard_3-0-0_092076_1993-02-20_final
1993-11-14 11:08:10	ga_ls5t_ard_3-0-0_114078_1993-11-14_final
1993-12-24 08:39:12	ga_ls5t_ard_3-0-0_090077_1993-12-23_final
1994-04-05 09:39:10	ga_ls5t_ard_3-0-0_100076_1994-04-05_final
1994-09-02 08:57:31	ga_ls5t_ard_3-0-0_094073_1994-09-01_final
1994-10-11 09:07:48	ga_ls5t_ard_3-0-0_095086_1994-10-10_final
1995-03-06 10:24:44	ga_ls5t_ard_3-0-0_109075_1995-03-06_final
1996-03-29 09:00:25	ga_ls5t_ard_3-0-0_096071_1996-03-28_final
1996-05-30 09:19:39	ga_ls5t_ard_3-0-0_098079_1996-05-29_final
1997-03-12 09:46:09	ga_ls5t_ard_3-0-0_100079_1997-03-12_final
1997-05-05 10:47:31	ga_ls5t_ard_3-0-0_110073_1997-05-05_final
1997-06-22 10:49:58	ga_ls5t_ard_3-0-0_110075_1997-06-22_final
1997-09-01 10:58:05	ga_ls5t_ard_3-0-0_111074_1997-09-01_final
1997-10-07 10:33:59	ga_ls5t_ard_3-0-0_107073_1997-10-07_final
1997-12-06 09:20:57	ga_ls5t_ard_3-0-0_095072_1997-12-05_final
1998-05-10 09:11:36	ga_ls5t_ard_3-0-0_092088_1998-05-09_final
1998-09-14 10:06:14	ga_ls5t_ard_3-1-0_101082_1998-09-14_final
1998-11-23 11:05:07	ga_ls5t_ard_3-0-0_111074_1998-11-23_final
1999-02-17 10:26:16	ga_ls5t_ard_3-0-0_105069_1999-02-17_final
1999-03-21 10:25:56	ga_ls5t_ard_3-0-0_105069_1999-03-21_final
1999-09-03 11:28:44	ga_ls5t_ard_3-0-0_115076_1999-09-03_final
1999-11-14 10:35:55	ga_ls5t_ard_3-0-0_107071_1999-11-14_final
1999-11-16 10:22:16	ga_ls5t_ard_3-0-0_105068_1999-11-16_final
1999-12-07 09:04:11	ga_ls5t_ard_3-0-0_092075_1999-12-06_final
2004-01-30 10:25:27	ga_ls5t_ard_3-0-0_105068_2004-01-30_final
2005-04-03 10:05:59	ga_ls5t_ard_3-0-0_100076_2005-04-03_final
2005-09-18 09:17:35	ga_ls5t_ard_3-0-0_092076_2005-09-17_final
2006-03-02 09:37:39	ga_ls5t_ard_3-0-0_095073_2006-03-02_final
2006-04-30 09:21:22	ga_ls5t_ard_3-0-0_092076_2006-04-29_final
2006-07-03 11:00:48	ga_ls5t_ard_3-0-0_108075_2006-07-03_final
2006-08-14 10:03:09	ga_ls5t_ard_3-0-0_098084_2006-08-14_final
2007-01-09 11:13:58	ga_ls5t_ard_3-0-0_110072_2007-01-09_final
2007-03-03 09:53:20	ga_ls5t_ard_3-0-0_097071_2007-03-03_final
2007-08-21 11:12:25	ga_ls5t_ard_3-0-0_110072_2007-08-21_final
2008-09-20 09:53:03	ga_ls5t_ard_3-0-0_098080_2008-09-20_final
2008-12-10 08:56:11	ga_ls5t_ard_3-0-0_089079_2008-12-09_final
2009-04-12 10:20:47	ga_ls5t_ard_3-0-0_102082_2009-04-12_final
2009-09-29 09:19:23	ga_ls5t_ard_3-0-0_092076_2009-09-28_final
2011-08-05 09:46:53	ga_ls5t_ard_3-0-0_097070_2011-08-05_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