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

59 results

Time (local)	Label
1987-10-21 08:48:39	ga_ls5t_ard_3-0-0_090086_1987-10-20_final
1988-03-28 09:40:45	ga_ls5t_ard_3-0-0_099071_1988-03-28_final
1988-12-02 09:40:18	ga_ls5t_ard_3-0-0_098084_1988-12-02_final
1989-04-23 09:48:11	ga_ls5t_ard_3-0-0_100077_1989-04-23_final
1989-12-19 09:42:40	ga_ls5t_ard_3-0-0_100077_1989-12-19_final
1990-05-11 10:33:58	ga_ls5t_ard_3-0-0_109074_1990-05-11_final
1990-06-07 08:41:16	ga_ls5t_ard_3-0-0_090086_1990-06-06_final
1990-10-12 09:30:20	ga_ls5t_ard_3-0-0_099071_1990-10-12_final
1991-01-15 10:27:47	ga_ls5t_ard_3-0-0_108074_1991-01-15_final
1991-02-26 09:25:35	ga_ls5t_ard_3-0-0_098071_1991-02-25_final
1991-06-10 08:41:53	ga_ls5t_ard_3-0-0_090081_1991-06-09_final
1991-07-17 10:37:03	ga_ls5t_ard_3-0-0_109074_1991-07-17_final
1991-11-16 09:34:32	ga_ls5t_ard_3-1-0_099070_1991-11-16_final
1991-11-21 09:57:26	ga_ls5t_ard_3-1-0_102081_1991-11-21_final
1991-12-10 08:52:33	ga_ls5t_ard_3-0-0_091088_1991-12-09_final
1992-06-24 10:45:57	ga_ls5t_ard_3-0-0_110081_1992-06-24_final
1992-09-23 08:44:49	ga_ls5t_ard_3-1-0_091075_1992-09-22_final
1992-10-24 09:40:43	ga_ls5t_ard_3-0-0_100077_1992-10-24_final
1993-10-03 08:48:08	ga_ls5t_ard_3-0-0_092067_1993-10-02_final
1993-10-26 10:35:51	ga_ls5t_ard_3-0-0_109074_1993-10-26_final
1994-03-04 09:40:05	ga_ls5t_ard_3-0-0_100077_1994-03-04_final
1994-06-25 08:41:34	ga_ls5t_ard_3-1-0_091075_1994-06-24_final
1994-07-03 09:31:35	ga_ls5t_ard_3-0-0_099077_1994-07-03_final
1994-07-25 10:34:47	ga_ls5t_ard_3-0-0_109082_1994-07-25_final
1994-10-14 09:35:00	ga_ls5t_ard_3-0-0_100077_1994-10-14_final
1994-10-17 10:04:37	ga_ls5t_ard_3-0-0_105074_1994-10-17_final
1995-01-11 09:23:28	ga_ls5t_ard_3-0-0_099071_1995-01-10_final
1995-03-11 09:03:47	ga_ls5t_ard_3-0-0_096074_1995-03-10_final
1995-08-31 08:31:10	ga_ls5t_ard_3-0-0_091089_1995-08-30_final
1995-10-02 10:02:51	ga_ls5t_ard_3-0-0_107075_1995-10-02_final
1996-02-05 10:18:52	ga_ls5t_ard_3-0-0_109075_1996-02-05_final
1996-03-23 09:41:06	ga_ls5t_ard_3-0-0_102081_1996-03-23_final
1996-05-25 09:03:14	ga_ls5t_ard_3-0-0_095085_1996-05-24_final
1996-07-21 10:34:36	ga_ls5t_ard_3-1-0_110074_1996-07-21_final
1996-08-15 10:30:32	ga_ls5t_ard_3-0-0_109076_1996-08-15_final
1997-04-06 09:40:06	ga_ls5t_ard_3-0-0_099077_1997-04-06_final
1997-08-20 09:00:30	ga_ls5t_ard_3-0-0_091090_1997-08-19_final
1998-02-05 08:55:01	ga_ls5t_ard_3-0-0_090081_1998-02-04_final
1998-05-17 10:51:11	ga_ls5t_ard_3-0-0_109074_1998-05-17_final
1999-09-10 09:56:09	ga_ls5t_ard_3-0-0_100077_1999-09-10_final
1999-09-13 08:48:06	ga_ls5t_ard_3-1-0_089077_1999-09-12_final
2003-10-22 10:51:43	ga_ls5t_ard_3-0-0_109074_2003-10-22_final
2003-10-26 08:51:45	ga_ls5t_ard_3-0-0_089083_2003-10-25_final
2004-02-13 09:01:47	ga_ls5t_ard_3-1-0_091075_2004-02-12_final
2004-02-21 09:49:41	ga_ls5t_ard_3-0-0_099071_2004-02-21_final
2004-03-09 10:35:02	ga_ls5t_ard_3-0-0_106076_2004-03-09_final
2005-02-12 10:19:46	ga_ls5t_ard_3-0-0_102081_2005-02-12_final
2005-04-14 09:44:41	ga_ls5t_ard_3-1-0_097069_2005-04-14_final
2005-05-29 10:54:58	ga_ls5t_ard_3-0-0_108074_2005-05-29_final
2006-07-30 10:42:13	ga_ls5t_ard_3-0-0_105074_2006-07-30_final
2006-11-17 10:56:12	ga_ls5t_ard_3-0-0_107075_2006-11-17_final
2007-09-01 10:54:57	ga_ls5t_ard_3-0-0_107075_2007-09-01_final
2008-01-19 09:40:39	ga_ls5t_ard_3-0-0_095080_2008-01-19_final
2008-03-10 10:09:26	ga_ls5t_ard_3-0-0_100077_2008-03-10_final
2008-08-18 10:47:37	ga_ls5t_ard_3-0-0_107075_2008-08-18_final
2008-09-22 09:42:13	ga_ls5t_ard_3-0-0_096084_2008-09-22_final
2009-01-02 10:37:30	ga_ls5t_ard_3-0-0_106068_2009-01-02_final
2009-08-16 10:31:45	ga_ls5t_ard_3-0-0_104073_2009-08-16_final
2010-10-10 10:09:18	ga_ls5t_ard_3-0-0_100077_2010-10-10_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