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

57 results

Time (local)	Label
1987-09-11 09:36:53	ga_ls5t_ard_3-0-0_098085_1987-09-11_final
1987-12-07 09:42:20	ga_ls5t_ard_3-0-0_099079_1987-12-07_final
1988-04-29 09:43:18	ga_ls5t_ard_3-0-0_099077_1988-04-29_final
1989-02-27 11:22:13	ga_ls5t_ard_3-0-0_115078_1989-02-27_final
1989-04-16 11:20:16	ga_ls5t_ard_3-0-0_115075_1989-04-16_final
1989-07-11 09:03:06	ga_ls5t_ard_3-0-0_093076_1989-07-10_final
1989-10-08 08:54:11	ga_ls5t_ard_3-1-0_092074_1989-10-07_final
1990-04-24 09:53:30	ga_ls5t_ard_3-0-0_102081_1990-04-24_final
1990-06-09 08:26:55	ga_ls5t_ard_3-1-0_088081_1990-06-08_final
1990-07-13 09:53:22	ga_ls5t_ard_3-0-0_102081_1990-07-13_final
1990-11-29 09:30:24	ga_ls5t_ard_3-1-0_099072_1990-11-29_final
1990-12-24 09:24:09	ga_ls5t_ard_3-0-0_098071_1990-12-23_final
1991-01-17 10:15:05	ga_ls5t_ard_3-0-0_106073_1991-01-17_final
1991-05-13 09:55:39	ga_ls5t_ard_3-0-0_102081_1991-05-13_final
1991-08-11 10:31:04	ga_ls5t_ard_3-0-0_108074_1991-08-11_final
1991-09-12 10:31:24	ga_ls5t_ard_3-0-0_108074_1991-09-12_final
1992-04-07 10:31:33	ga_ls5t_ard_3-0-0_108074_1992-04-07_final
1992-11-01 10:28:51	ga_ls5t_ard_3-0-0_108074_1992-11-01_final
1992-12-22 09:22:55	ga_ls5t_ard_3-0-0_097079_1992-12-21_final
1993-01-04 10:29:03	ga_ls5t_ard_3-0-0_108074_1993-01-04_final
1994-08-20 09:30:20	ga_ls5t_ard_3-0-0_099077_1994-08-20_final
1994-08-31 09:07:32	ga_ls5t_ard_3-1-0_096067_1994-08-30_final
1994-10-16 09:22:59	ga_ls5t_ard_3-0-0_098078_1994-10-15_final
1995-10-02 10:02:51	ga_ls5t_ard_3-0-0_107075_1995-10-02_final
1995-11-12 08:16:56	ga_ls5t_ard_3-0-0_090077_1995-11-11_final
1996-02-21 10:19:33	ga_ls5t_ard_3-0-0_109074_1996-02-21_final
1997-01-13 10:41:54	ga_ls5t_ard_3-0-0_110070_1997-01-13_final
1997-08-17 10:04:48	ga_ls5t_ard_3-0-0_102081_1997-08-17_final
1998-06-09 10:58:31	ga_ls5t_ard_3-0-0_110076_1998-06-09_final
1998-06-20 10:42:29	ga_ls5t_ard_3-0-0_107082_1998-06-20_final
1998-07-30 09:51:52	ga_ls5t_ard_3-0-0_099078_1998-07-30_final
1998-09-07 09:58:24	ga_ls5t_ard_3-0-0_100078_1998-09-07_final
1998-10-10 10:40:35	ga_ls5t_ard_3-0-0_107075_1998-10-10_final
1999-01-27 10:12:17	ga_ls5t_ard_3-0-0_102081_1999-01-27_final
1999-02-18 09:37:02	ga_ls5t_ard_3-1-0_096085_1999-02-18_final
1999-03-18 09:58:17	ga_ls5t_ard_3-0-0_100077_1999-03-18_final
1999-04-12 09:51:50	ga_ls5t_ard_3-0-0_099077_1999-04-12_final
1999-06-19 11:08:01	ga_ls5t_ard_3-0-0_111084_1999-06-19_final
1999-06-22 09:57:12	ga_ls5t_ard_3-0-0_100077_1999-06-22_final
1999-06-23 10:39:39	ga_ls5t_ard_3-0-0_107075_1999-06-23_final
1999-08-18 09:50:40	ga_ls5t_ard_3-0-0_099077_1999-08-18_final
2003-08-29 09:47:32	ga_ls5t_ard_3-0-0_099070_2003-08-29_final
2003-12-16 10:55:42	ga_ls5t_ard_3-0-0_110067_2003-12-16_final
2004-02-06 10:34:51	ga_ls5t_ard_3-0-0_106076_2004-02-06_final
2004-02-17 10:14:47	ga_ls5t_ard_3-0-0_103072_2004-02-17_final
2004-03-13 10:07:09	ga_ls5t_ard_3-0-0_102068_2004-03-13_final
2004-04-06 10:59:18	ga_ls5t_ard_3-1-0_110074_2004-04-06_final
2004-06-13 10:37:22	ga_ls5t_ard_3-0-0_106076_2004-06-13_final
2004-11-16 11:04:58	ga_ls5t_ard_3-1-0_110074_2004-11-16_final
2004-11-20 10:41:06	ga_ls5t_ard_3-0-0_106076_2004-11-20_final
2005-01-14 10:47:27	ga_ls5t_ard_3-0-0_107074_2005-01-14_final
2005-03-12 10:42:54	ga_ls5t_ard_3-0-0_106076_2005-03-12_final
2006-08-25 11:19:14	ga_ls5t_ard_3-0-0_111073_2006-08-25_final
2008-11-22 10:45:16	ga_ls5t_ard_3-0-0_107075_2008-11-22_final
2009-05-11 09:48:50	ga_ls5t_ard_3-0-0_097078_2009-05-11_final
2010-02-08 10:36:54	ga_ls5t_ard_3-0-0_104082_2010-02-08_final
2011-04-18 10:22:58	ga_ls5t_ard_3-0-0_102081_2011-04-18_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years