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

58 results

Time (local)	Label
1988-04-29 09:43:42	ga_ls5t_ard_3-0-0_099078_1988-04-29_final
1988-06-20 09:15:00	ga_ls5t_ard_3-0-0_095067_1988-06-19_final
1988-07-17 09:04:09	ga_ls5t_ard_3-0-0_092086_1988-07-16_final
1988-07-17 10:38:15	ga_ls5t_ard_3-0-0_108074_1988-07-17_final
1988-08-23 10:56:27	ga_ls5t_ard_3-0-0_111073_1988-08-23_final
1989-01-26 09:43:52	ga_ls5t_ard_3-0-0_099079_1989-01-26_final
1989-02-27 09:43:44	ga_ls5t_ard_3-0-0_099079_1989-02-27_final
1989-05-05 08:35:29	ga_ls5t_ard_3-1-0_088081_1989-05-04_final
1990-02-14 09:31:04	ga_ls5t_ard_3-0-0_099068_1990-02-14_final
1990-03-18 09:33:35	ga_ls5t_ard_3-0-0_099077_1990-03-18_final
1990-08-20 09:17:43	ga_ls5t_ard_3-0-0_096085_1990-08-19_final
1990-12-18 08:26:36	ga_ls5t_ard_3-0-0_088082_1990-12-17_final
1991-04-22 09:35:55	ga_ls5t_ard_3-0-0_099079_1991-04-22_final
1991-10-08 09:28:35	ga_ls5t_ard_3-0-0_098071_1991-10-07_final
1991-11-16 09:37:20	ga_ls5t_ard_3-0-0_099077_1991-11-16_final
1992-12-08 09:08:02	ga_ls5t_ard_3-0-0_095073_1992-12-07_final
1993-01-08 08:28:41	ga_ls5t_ard_3-1-0_088082_1993-01-07_final
1993-03-16 10:35:54	ga_ls5t_ard_3-0-0_109074_1993-03-16_final
1993-04-14 08:29:27	ga_ls5t_ard_3-1-0_088082_1993-04-13_final
1993-06-04 10:37:05	ga_ls5t_ard_3-0-0_109076_1993-06-04_final
1994-04-30 09:33:20	ga_ls5t_ard_3-0-0_099078_1994-04-30_final
1995-06-19 10:13:58	ga_ls5t_ard_3-0-0_108075_1995-06-19_final
1995-08-29 10:16:31	ga_ls5t_ard_3-0-0_109074_1995-08-29_final
1996-02-09 08:17:07	ga_ls5t_ard_3-0-0_089079_1996-02-08_final
1996-07-02 10:03:06	ga_ls5t_ard_3-0-0_105075_1996-07-02_final
1996-11-17 09:05:17	ga_ls5t_ard_3-0-0_095067_1996-11-16_final
1997-04-21 10:35:04	ga_ls5t_ard_3-0-0_108074_1997-04-21_final
1997-05-28 10:54:30	ga_ls5t_ard_3-0-0_111073_1997-05-28_final
1997-08-01 10:04:17	ga_ls5t_ard_3-0-0_102081_1997-08-01_final
1997-09-08 09:29:35	ga_ls5t_ard_3-0-0_096084_1997-09-07_final
1997-10-05 09:12:12	ga_ls5t_ard_3-0-0_093085_1997-10-04_final
1997-11-29 10:54:16	ga_ls5t_ard_3-0-0_110074_1997-11-29_final
1997-12-01 10:41:58	ga_ls5t_ard_3-0-0_108074_1997-12-01_final
1997-12-28 10:22:05	ga_ls5t_ard_3-0-0_105069_1997-12-28_final
1998-03-12 09:20:57	ga_ls5t_ard_3-0-0_095067_1998-03-11_final
1998-05-15 09:21:50	ga_ls5t_ard_3-0-0_095067_1998-05-14_final
1998-08-06 09:57:40	ga_ls5t_ard_3-0-0_100077_1998-08-06_final
2003-10-06 10:51:30	ga_ls5t_ard_3-0-0_109074_2003-10-06_final
2003-10-06 10:51:54	ga_ls5t_ard_3-0-0_109075_2003-10-06_final
2003-11-18 10:34:20	ga_ls5t_ard_3-0-0_106076_2003-11-18_final
2003-11-21 09:22:49	ga_ls5t_ard_3-0-0_095067_2003-11-20_final
2004-04-13 09:24:02	ga_ls5t_ard_3-0-0_095067_2004-04-12_final
2004-06-27 09:15:39	ga_ls5t_ard_3-0-0_092087_2004-06-26_final
2004-07-22 10:44:14	ga_ls5t_ard_3-0-0_107075_2004-07-22_final
2004-09-17 10:39:52	ga_ls5t_ard_3-0-0_106076_2004-09-17_final
2005-06-21 11:01:42	ga_ls5t_ard_3-0-0_109075_2005-06-21_final
2005-07-17 10:00:53	ga_ls5t_ard_3-0-0_099077_2005-07-17_final
2005-09-29 10:37:30	ga_ls5t_ard_3-0-0_105075_2005-09-29_final
2005-10-10 10:21:18	ga_ls5t_ard_3-0-0_102081_2005-10-10_final
2005-11-22 11:40:33	ga_ls5t_ard_3-0-0_115077_2005-11-22_final
2007-10-05 10:42:18	ga_ls5t_ard_3-0-0_105075_2007-10-05_final
2008-11-04 11:00:20	ga_ls5t_ard_3-0-0_109082_2008-11-04_final
2009-01-11 10:31:58	ga_ls5t_ard_3-0-0_105069_2009-01-11_final
2009-03-23 10:39:30	ga_ls5t_ard_3-0-0_106068_2009-03-23_final
2009-08-23 10:39:14	ga_ls5t_ard_3-0-0_105076_2009-08-23_final
2010-01-14 09:02:54	ga_ls5t_ard_3-0-0_089079_2010-01-13_final
2010-11-15 11:22:03	ga_ls5t_ard_3-0-0_112074_2010-11-15_final
2011-07-28 10:38:49	ga_ls5t_ard_3-0-0_105076_2011-07-28_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