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

51 results

Time (local)	Label
1988-05-10 09:27:43	ga_ls5t_ard_3-0-0_096084_1988-05-09_final
1988-08-03 09:43:51	ga_ls5t_ard_3-0-0_099077_1988-08-03_final
1988-09-14 08:44:04	ga_ls5t_ard_3-0-0_089082_1988-09-13_final
1988-09-30 10:22:50	ga_ls5t_ard_3-0-0_105082_1988-09-30_final
1988-10-08 11:12:16	ga_ls5t_ard_3-0-0_113082_1988-10-08_final
1988-10-12 10:45:05	ga_ls5t_ard_3-0-0_109076_1988-10-12_final
1989-04-06 10:42:51	ga_ls5t_ard_3-0-0_109074_1989-04-06_final
1989-06-28 11:14:21	ga_ls5t_ard_3-0-0_114079_1989-06-28_final
1989-09-01 10:12:58	ga_ls5t_ard_3-1-0_105068_1989-09-01_final
1990-04-03 09:30:21	ga_ls5t_ard_3-0-0_099070_1990-04-03_final
1990-11-15 09:19:51	ga_ls5t_ard_3-0-0_097076_1990-11-14_final
1991-09-19 10:38:28	ga_ls5t_ard_3-0-0_109076_1991-09-19_final
1991-10-21 10:38:41	ga_ls5t_ard_3-0-0_109076_1991-10-21_final
1991-11-08 08:51:50	ga_ls5t_ard_3-0-0_091087_1991-11-07_final
1992-01-19 09:40:10	ga_ls5t_ard_3-0-0_099084_1992-01-19_final
1992-02-05 10:19:01	ga_ls5t_ard_3-0-0_106073_1992-02-05_final
1992-02-10 10:39:06	ga_ls5t_ard_3-0-0_109077_1992-02-10_final
1992-06-08 09:08:05	ga_ls5t_ard_3-0-0_094083_1992-06-07_final
1992-09-30 08:47:39	ga_ls5t_ard_3-0-0_092067_1992-09-29_final
1993-04-30 10:04:51	ga_ls5t_ard_3-1-0_104073_1993-04-30_final
1993-07-24 08:49:15	ga_ls5t_ard_3-0-0_091085_1993-07-23_final
1993-08-08 09:41:17	ga_ls5t_ard_3-0-0_100076_1993-08-08_final
1994-04-02 09:07:07	ga_ls5t_ard_3-0-0_095073_1994-04-01_final
1995-03-09 09:17:49	ga_ls5t_ard_3-0-0_098078_1995-03-08_final
1995-05-03 09:21:18	ga_ls5t_ard_3-0-0_099077_1995-05-02_final
1995-06-18 09:31:09	ga_ls5t_ard_3-0-0_101076_1995-06-18_final
1995-09-15 09:21:16	ga_ls5t_ard_3-0-0_100077_1995-09-14_final
1995-09-25 09:54:15	ga_ls5t_ard_3-0-0_106068_1995-09-25_final
1996-08-06 09:01:21	ga_ls5t_ard_3-0-0_094086_1996-08-05_final
1997-12-22 09:19:19	ga_ls5t_ard_3-0-0_095067_1997-12-21_final
1998-10-28 08:52:11	ga_ls5t_ard_3-0-0_089082_1998-10-27_final
1998-11-18 10:45:23	ga_ls5t_ard_3-0-0_108071_1998-11-18_final
1999-03-22 09:31:06	ga_ls5t_ard_3-0-0_096071_1999-03-22_final
2003-09-25 09:31:25	ga_ls5t_ard_3-0-0_096075_2003-09-25_final
2004-02-07 11:17:20	ga_ls5t_ard_3-0-0_113074_2004-02-07_final
2004-02-22 08:59:40	ga_ls5t_ard_3-0-0_090085_2004-02-21_final
2004-09-17 10:36:40	ga_ls5t_ard_3-0-0_106068_2004-09-17_final
2005-02-23 09:57:49	ga_ls5t_ard_3-0-0_099072_2005-02-23_final
2005-04-17 10:20:46	ga_ls5t_ard_3-0-0_102082_2005-04-17_final
2006-02-14 09:37:18	ga_ls5t_ard_3-0-0_095073_2006-02-14_final
2006-08-12 10:10:17	ga_ls5t_ard_3-0-0_100071_2006-08-12_final
2006-11-24 11:00:27	ga_ls5t_ard_3-0-0_108070_2006-11-24_final
2007-03-15 10:22:25	ga_ls5t_ard_3-0-0_101082_2007-03-15_final
2007-09-01 09:21:40	ga_ls5t_ard_3-0-0_091089_2007-08-31_final
2007-09-05 10:27:25	ga_ls5t_ard_3-0-0_103068_2007-09-05_final
2008-04-20 10:00:20	ga_ls5t_ard_3-0-0_099072_2008-04-20_final
2008-06-02 11:17:30	ga_ls5t_ard_3-1-0_112067_2008-06-02_final
2009-04-01 10:36:43	ga_ls5t_ard_3-0-0_105076_2009-04-01_final
2009-09-05 10:06:31	ga_ls5t_ard_3-0-0_100071_2009-09-05_final
2009-12-12 09:57:32	ga_ls5t_ard_3-0-0_098077_2009-12-12_final
2011-04-16 10:30:10	ga_ls5t_ard_3-0-0_104068_2011-04-16_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