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

43 results

Time (local)	Label
1988-01-18 08:42:26	ga_ls5t_ard_3-0-0_089082_1988-01-17_final
1988-02-07 09:56:58	ga_ls5t_ard_3-0-0_101082_1988-02-07_final
1988-08-27 10:32:33	ga_ls5t_ard_3-0-0_107075_1988-08-27_final
1989-02-20 09:34:30	ga_ls5t_ard_3-0-0_098071_1989-02-20_final
1989-04-20 09:16:31	ga_ls5t_ard_3-0-0_095075_1989-04-19_final
1989-09-01 10:18:58	ga_ls5t_ard_3-1-0_105083_1989-09-01_final
1989-12-20 10:25:05	ga_ls5t_ard_3-0-0_107075_1989-12-20_final
1990-02-14 09:34:39	ga_ls5t_ard_3-0-0_099077_1990-02-14_final
1990-06-22 09:29:41	ga_ls5t_ard_3-0-0_099068_1990-06-21_final
1990-07-24 09:31:59	ga_ls5t_ard_3-0-0_099074_1990-07-24_final
1991-02-28 10:53:18	ga_ls5t_ard_3-0-0_112074_1991-02-28_final
1991-03-13 10:23:06	ga_ls5t_ard_3-0-0_107075_1991-03-13_final
1991-04-22 11:14:00	ga_ls5t_ard_3-0-0_115077_1991-04-22_final
1992-08-15 10:16:09	ga_ls5t_ard_3-0-0_106070_1992-08-15_final
1992-09-07 10:23:59	ga_ls5t_ard_3-0-0_107075_1992-09-07_final
1992-10-28 10:50:51	ga_ls5t_ard_3-0-0_112067_1992-10-28_final
1993-04-11 09:35:24	ga_ls5t_ard_3-0-0_099077_1993-04-11_final
1993-07-07 09:42:30	ga_ls5t_ard_3-0-0_100079_1993-07-07_final
1993-07-11 10:54:40	ga_ls5t_ard_3-0-0_112074_1993-07-11_final
1993-08-09 10:24:09	ga_ls5t_ard_3-0-0_107075_1993-08-09_final
1993-08-12 10:51:52	ga_ls5t_ard_3-0-0_112067_1993-08-12_final
1994-08-16 09:56:44	ga_ls5t_ard_3-0-0_103081_1994-08-16_final
1994-08-31 10:46:25	ga_ls5t_ard_3-0-0_112067_1994-08-31_final
1995-09-04 09:41:57	ga_ls5t_ard_3-0-0_103081_1995-09-04_final
1995-09-08 09:15:50	ga_ls5t_ard_3-0-0_099078_1995-09-07_final
1996-07-08 11:06:00	ga_ls5t_ard_3-0-0_115077_1996-07-08_final
1996-11-03 10:34:21	ga_ls5t_ard_3-0-0_109075_1996-11-03_final
1997-04-28 10:41:30	ga_ls5t_ard_3-0-0_109074_1997-04-28_final
1998-07-09 11:07:39	ga_ls5t_ard_3-0-0_112067_1998-07-09_final
1998-09-05 10:11:56	ga_ls5t_ard_3-0-0_102081_1998-09-05_final
2003-07-27 10:44:10	ga_ls5t_ard_3-0-0_108074_2003-07-27_final
2003-09-30 11:30:05	ga_ls5t_ard_3-0-0_115078_2003-09-30_final
2003-12-11 09:05:23	ga_ls5t_ard_3-0-0_091085_2003-12-10_final
2004-07-31 10:38:14	ga_ls5t_ard_3-0-0_106075_2004-07-31_final
2004-10-03 10:39:49	ga_ls5t_ard_3-0-0_106075_2004-10-03_final
2005-08-02 11:39:56	ga_ls5t_ard_3-0-0_115077_2005-08-02_final
2005-10-05 10:01:36	ga_ls5t_ard_3-0-0_099078_2005-10-05_final
2006-04-15 11:44:05	ga_ls5t_ard_3-0-0_115078_2006-04-15_final
2006-10-03 11:26:17	ga_ls5t_ard_3-0-0_112074_2006-10-03_final
2006-11-16 10:11:20	ga_ls5t_ard_3-0-0_100071_2006-11-16_final
2007-01-23 11:24:24	ga_ls5t_ard_3-1-0_112067_2007-01-23_final
2007-02-17 09:41:47	ga_ls5t_ard_3-0-0_095073_2007-02-17_final
2009-11-11 09:02:03	ga_ls5t_ard_3-0-0_089078_2009-11-10_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years