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
1988-04-02 09:58:31	ga_ls5t_ard_3-0-0_102069_1988-04-02_final
1988-10-16 08:46:40	ga_ls5t_ard_3-0-0_089089_1988-10-15_final
1989-01-27 10:23:33	ga_ls5t_ard_3-0-0_106070_1989-01-27_final
1989-03-03 09:14:08	ga_ls5t_ard_3-0-0_095067_1989-03-02_final
1989-04-16 09:39:47	ga_ls5t_ard_3-0-0_099071_1989-04-16_final
1990-12-26 10:51:55	ga_ls5t_ard_3-0-0_112074_1990-12-26_final
1991-01-15 09:30:12	ga_ls5t_ard_3-1-0_099069_1991-01-15_final
1991-01-17 10:15:05	ga_ls5t_ard_3-0-0_106073_1991-01-17_final
1992-03-29 08:56:07	ga_ls5t_ard_3-0-0_093067_1992-03-28_final
1992-05-03 09:30:44	ga_ls5t_ard_3-0-0_098077_1992-05-03_final
1992-06-16 09:57:00	ga_ls5t_ard_3-0-0_102082_1992-06-16_final
1992-11-22 10:47:04	ga_ls5t_ard_3-0-0_111074_1992-11-22_final
1993-10-29 09:26:39	ga_ls5t_ard_3-0-0_098071_1993-10-28_final
1994-07-09 08:53:33	ga_ls5t_ard_3-0-0_093075_1994-07-08_final
1994-08-14 08:29:04	ga_ls5t_ard_3-0-0_089078_1994-08-13_final
1994-11-29 09:47:48	ga_ls5t_ard_3-0-0_102082_1994-11-29_final
1995-08-01 08:16:12	ga_ls5t_ard_3-0-0_089079_1995-07-31_final
1995-08-08 09:57:21	ga_ls5t_ard_3-0-0_106070_1995-08-08_final
1997-02-16 08:58:56	ga_ls5t_ard_3-0-0_092087_1997-02-15_final
1998-01-23 11:01:19	ga_ls5t_ard_3-1-0_111073_1998-01-23_final
1998-05-25 10:03:28	ga_ls5t_ard_3-0-0_101078_1998-05-25_final
1998-06-06 08:51:53	ga_ls5t_ard_3-0-0_089084_1998-06-05_final
1998-07-08 10:27:11	ga_ls5t_ard_3-0-0_105074_1998-07-08_final
1998-09-15 10:46:42	ga_ls5t_ard_3-0-0_108075_1998-09-15_final
1999-05-25 11:07:41	ga_ls5t_ard_3-0-0_112067_1999-05-25_final
1999-06-03 11:03:46	ga_ls5t_ard_3-0-0_111073_1999-06-03_final
2003-10-15 09:07:20	ga_ls5t_ard_3-0-0_092076_2003-10-14_final
2004-02-06 09:00:46	ga_ls5t_ard_3-0-0_090088_2004-02-05_final
2004-03-19 09:36:29	ga_ls5t_ard_3-0-0_096084_2004-03-19_final
2004-04-02 11:25:04	ga_ls5t_ard_3-0-0_114077_2004-04-02_final
2004-06-09 11:00:22	ga_ls5t_ard_3-0-0_110072_2004-06-09_final
2004-09-17 10:37:28	ga_ls5t_ard_3-0-0_106070_2004-09-17_final
2004-10-25 10:04:00	ga_ls5t_ard_3-0-0_100077_2004-10-25_final
2005-08-23 10:17:20	ga_ls5t_ard_3-0-0_102071_2005-08-23_final
2006-03-15 09:08:36	ga_ls5t_ard_3-0-0_090077_2006-03-14_final
2006-05-08 10:09:20	ga_ls5t_ard_3-0-0_100072_2006-05-08_final
2006-09-13 10:15:05	ga_ls5t_ard_3-0-0_100082_2006-09-13_final
2006-10-25 10:48:37	ga_ls5t_ard_3-0-0_106072_2006-10-25_final
2007-09-01 10:58:09	ga_ls5t_ard_3-0-0_107083_2007-09-01_final
2009-08-24 11:25:42	ga_ls5t_ard_3-0-0_112084_2009-08-24_final
2010-06-19 11:03:09	ga_ls5t_ard_3-0-0_109071_2010-06-19_final
2010-11-17 11:08:54	ga_ls5t_ard_3-0-0_110072_2010-11-17_final
2011-06-01 10:43:52	ga_ls5t_ard_3-0-0_106072_2011-06-01_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