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

54 results

Time (local)	Label
1987-12-06 10:35:57	ga_ls5t_ard_3-0-0_108074_1987-12-06_final
1988-01-18 08:42:50	ga_ls5t_ard_3-0-0_089083_1988-01-17_final
1988-11-18 09:21:10	ga_ls5t_ard_3-0-0_096067_1988-11-17_final
1989-06-19 09:41:21	ga_ls5t_ard_3-0-0_099078_1989-06-19_final
1989-11-11 08:47:05	ga_ls5t_ard_3-1-0_090090_1989-11-10_final
1989-11-27 08:45:50	ga_ls5t_ard_3-0-0_090088_1989-11-26_final
1991-01-18 10:58:47	ga_ls5t_ard_3-0-0_113074_1991-01-18_final
1991-01-24 10:22:38	ga_ls5t_ard_3-0-0_107076_1991-01-24_final
1991-03-20 10:29:03	ga_ls5t_ard_3-0-0_108074_1991-03-20_final
1991-04-21 10:29:31	ga_ls5t_ard_3-0-0_108074_1991-04-21_final
1991-07-16 09:56:33	ga_ls5t_ard_3-0-0_102081_1991-07-16_final
1991-09-23 10:16:33	ga_ls5t_ard_3-1-0_105083_1991-09-23_final
1991-12-01 10:31:57	ga_ls5t_ard_3-0-0_108074_1991-12-01_final
1992-02-15 09:14:42	ga_ls5t_ard_3-0-0_096067_1992-02-14_final
1992-03-28 09:57:19	ga_ls5t_ard_3-0-0_102081_1992-03-28_final
1992-04-23 10:31:24	ga_ls5t_ard_3-0-0_108074_1992-04-23_final
1992-05-09 10:31:17	ga_ls5t_ard_3-0-0_108074_1992-05-09_final
1993-11-04 10:29:36	ga_ls5t_ard_3-0-0_108074_1993-11-04_final
1994-04-14 11:12:29	ga_ls5t_ard_3-0-0_115078_1994-04-14_final
1994-04-30 09:33:44	ga_ls5t_ard_3-0-0_099079_1994-04-30_final
1994-05-22 10:33:08	ga_ls5t_ard_3-0-0_109074_1994-05-22_final
1994-12-05 09:04:33	ga_ls5t_ard_3-1-0_096067_1994-12-04_final
1994-12-21 09:04:03	ga_ls5t_ard_3-0-0_096067_1994-12-20_final
1995-03-31 10:17:07	ga_ls5t_ard_3-0-0_108074_1995-03-31_final
1995-05-11 10:09:34	ga_ls5t_ard_3-0-0_107075_1995-05-11_final
1995-05-19 09:20:58	ga_ls5t_ard_3-0-0_099078_1995-05-18_final
1996-03-18 09:21:27	ga_ls5t_ard_3-0-0_099079_1996-03-17_final
1996-05-13 10:12:43	ga_ls5t_ard_3-0-0_107075_1996-05-13_final
1996-11-24 09:11:47	ga_ls5t_ard_3-0-0_096067_1996-11-23_final
1996-12-06 09:38:41	ga_ls5t_ard_3-0-0_100071_1996-12-06_final
1997-01-05 09:56:28	ga_ls5t_ard_3-0-0_102081_1997-01-05_final
1997-01-11 09:14:05	ga_ls5t_ard_3-0-0_096067_1997-01-10_final
1997-05-24 11:21:05	ga_ls5t_ard_3-0-0_115078_1997-05-24_final
1997-09-28 09:01:26	ga_ls5t_ard_3-1-0_092074_1997-09-27_final
1998-03-03 09:26:59	ga_ls5t_ard_3-0-0_096067_1998-03-02_final
1998-09-15 10:46:18	ga_ls5t_ard_3-0-0_108074_1998-09-15_final
1999-06-26 09:28:27	ga_ls5t_ard_3-0-0_096067_1999-06-25_final
1999-09-30 09:27:06	ga_ls5t_ard_3-0-0_096067_1999-09-29_final
2003-08-04 09:56:04	ga_ls5t_ard_3-1-0_100077_2003-08-04_final
2003-09-15 10:33:29	ga_ls5t_ard_3-0-0_106076_2003-09-15_final
2003-10-11 09:28:25	ga_ls5t_ard_3-0-0_096067_2003-10-10_final
2003-11-18 10:34:20	ga_ls5t_ard_3-0-0_106076_2003-11-18_final
2004-06-19 10:00:51	ga_ls5t_ard_3-0-0_100077_2004-06-19_final
2005-04-07 09:37:41	ga_ls5t_ard_3-0-0_096067_2005-04-07_final
2005-11-07 10:44:10	ga_ls5t_ard_3-0-0_106076_2005-11-07_final
2006-01-20 09:40:30	ga_ls5t_ard_3-0-0_096067_2006-01-20_final
2006-04-10 09:42:11	ga_ls5t_ard_3-0-0_096067_2006-04-10_final
2007-02-27 10:18:03	ga_ls5t_ard_3-0-0_101071_2007-02-27_final
2007-10-06 09:43:29	ga_ls5t_ard_3-0-0_096067_2007-10-06_final
2008-02-27 09:40:57	ga_ls5t_ard_3-0-0_096067_2008-02-27_final
2008-10-08 09:34:55	ga_ls5t_ard_3-0-0_096067_2008-10-08_final
2009-04-23 10:00:51	ga_ls5t_ard_3-0-0_099078_2009-04-23_final
2009-10-23 10:09:28	ga_ls5t_ard_3-0-0_100077_2009-10-23_final
2011-03-22 10:42:02	ga_ls5t_ard_3-0-0_105082_2011-03-22_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