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

61 results

Time (local)	Label
1987-12-23 09:38:11	ga_ls5t_ard_3-0-0_099068_1987-12-23_final
1988-03-12 09:43:49	ga_ls5t_ard_3-0-0_099079_1988-03-12_final
1988-04-18 09:58:59	ga_ls5t_ard_3-0-0_102070_1988-04-18_final
1988-05-24 09:34:59	ga_ls5t_ard_3-0-0_098071_1988-05-24_final
1988-06-02 09:28:28	ga_ls5t_ard_3-0-0_097070_1988-06-01_final
1988-07-03 10:29:02	ga_ls5t_ard_3-0-0_106082_1988-07-03_final
1988-10-18 10:06:00	ga_ls5t_ard_3-1-0_103071_1988-10-18_final
1988-12-01 08:58:38	ga_ls5t_ard_3-0-0_091088_1988-11-30_final
1989-03-23 10:32:41	ga_ls5t_ard_3-0-0_107080_1989-03-23_final
1989-06-18 10:38:58	ga_ls5t_ard_3-0-0_108083_1989-06-18_final
1989-08-28 10:39:47	ga_ls5t_ard_3-0-0_109073_1989-08-28_final
1989-10-03 10:15:04	ga_ls5t_ard_3-0-0_105075_1989-10-03_final
1989-10-13 09:17:39	ga_ls5t_ard_3-0-0_095087_1989-10-12_final
1989-11-04 10:14:04	ga_ls5t_ard_3-0-0_105075_1989-11-04_final
1991-04-22 09:37:31	ga_ls5t_ard_3-0-0_099083_1991-04-22_final
1991-05-09 10:18:43	ga_ls5t_ard_3-0-0_106077_1991-05-09_final
1991-08-18 10:38:04	ga_ls5t_ard_3-0-0_109076_1991-08-18_final
1992-01-07 10:50:20	ga_ls5t_ard_3-0-0_111074_1992-01-07_final
1992-02-20 11:16:33	ga_ls5t_ard_3-0-0_115078_1992-02-20_final
1992-06-10 08:56:06	ga_ls5t_ard_3-0-0_092084_1992-06-09_final
1992-06-16 09:56:36	ga_ls5t_ard_3-0-0_102081_1992-06-16_final
1993-03-21 09:18:44	ga_ls5t_ard_3-0-0_096082_1993-03-20_final
1993-06-23 11:09:06	ga_ls5t_ard_3-0-0_114079_1993-06-23_final
1993-07-13 10:44:42	ga_ls5t_ard_3-0-0_110080_1993-07-13_final
1993-07-25 09:32:07	ga_ls5t_ard_3-0-0_098084_1993-07-25_final
1993-09-20 11:04:46	ga_ls5t_ard_3-1-0_113084_1993-09-20_final
1993-11-25 10:47:59	ga_ls5t_ard_3-0-0_111074_1993-11-25_final
1994-01-14 10:35:32	ga_ls5t_ard_3-0-0_109075_1994-01-14_final
1994-09-20 10:26:46	ga_ls5t_ard_3-0-0_108081_1994-09-20_final
1994-09-21 09:26:19	ga_ls5t_ard_3-0-0_099069_1994-09-20_final
1995-03-16 09:22:55	ga_ls5t_ard_3-0-0_099076_1995-03-15_final
1995-03-23 09:27:12	ga_ls5t_ard_3-0-0_100072_1995-03-22_final
1996-09-01 09:35:50	ga_ls5t_ard_3-0-0_100076_1996-09-01_final
1996-09-16 08:53:00	ga_ls5t_ard_3-0-0_093075_1996-09-15_final
1998-03-28 09:23:10	ga_ls5t_ard_3-0-0_095072_1998-03-27_final
1998-04-08 10:44:51	ga_ls5t_ard_3-0-0_108075_1998-04-08_final
1998-12-20 10:50:09	ga_ls5t_ard_3-0-0_108083_1998-12-20_final
1999-07-05 11:03:53	ga_ls5t_ard_3-0-0_111074_1999-07-05_final
2003-07-06 10:26:04	ga_ls5t_ard_3-0-0_105076_2003-07-06_final
2003-09-24 10:27:01	ga_ls5t_ard_3-0-0_105075_2003-09-24_final
2003-10-08 09:04:16	ga_ls5t_ard_3-0-0_091084_2003-10-07_final
2003-11-24 09:55:21	ga_ls5t_ard_3-0-0_100071_2003-11-24_final
2004-03-20 10:13:46	ga_ls5t_ard_3-0-0_103069_2004-03-20_final
2004-05-02 09:59:27	ga_ls5t_ard_3-0-0_100077_2004-05-02_final
2004-05-08 11:03:50	ga_ls5t_ard_3-0-0_110083_2004-05-08_final
2004-05-12 10:36:26	ga_ls5t_ard_3-0-0_106076_2004-05-12_final
2004-12-22 10:41:47	ga_ls5t_ard_3-0-0_106076_2004-12-22_final
2005-05-26 10:26:50	ga_ls5t_ard_3-0-0_103081_2005-05-26_final
2005-08-09 10:09:41	ga_ls5t_ard_3-0-0_100083_2005-08-09_final
2006-08-11 11:07:54	ga_ls5t_ard_3-0-0_109076_2006-08-11_final
2007-05-30 09:10:26	ga_ls5t_ard_3-0-0_089089_2007-05-29_final
2008-03-04 09:11:20	ga_ls5t_ard_3-0-0_090086_2008-03-03_final
2008-03-15 10:29:28	ga_ls5t_ard_3-0-0_103081_2008-03-15_final
2008-04-22 09:47:07	ga_ls5t_ard_3-0-0_097070_2008-04-22_final
2008-11-13 09:17:04	ga_ls5t_ard_3-0-0_092087_2008-11-12_final
2009-02-28 10:32:48	ga_ls5t_ard_3-0-0_105068_2009-02-28_final
2009-04-25 11:25:49	ga_ls5t_ard_3-0-0_113074_2009-04-25_final
2009-05-23 10:15:22	ga_ls5t_ard_3-0-0_101082_2009-05-23_final
2010-04-27 10:43:37	ga_ls5t_ard_3-0-0_106068_2010-04-27_final
2010-12-21 11:00:12	ga_ls5t_ard_3-0-0_108081_2010-12-21_final
2011-06-02 11:27:55	ga_ls5t_ard_3-0-0_113074_2011-06-02_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