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
1988-05-16 10:24:23	ga_ls5t_ard_3-0-0_106071_1988-05-16_final
1988-10-05 10:38:11	ga_ls5t_ard_3-0-0_108074_1988-10-05_final
1989-02-19 10:31:43	ga_ls5t_ard_3-0-0_107075_1989-02-19_final
1989-03-09 08:41:39	ga_ls5t_ard_3-0-0_089079_1989-03-08_final
1989-07-09 09:11:55	ga_ls5t_ard_3-0-0_095067_1989-07-08_final
1989-09-01 08:38:05	ga_ls5t_ard_3-0-0_089078_1989-08-31_final
1989-11-12 11:02:47	ga_ls5t_ard_3-0-0_113074_1989-11-12_final
1990-05-11 10:33:58	ga_ls5t_ard_3-0-0_109074_1990-05-11_final
1990-12-31 09:29:20	ga_ls5t_ard_3-1-0_099068_1990-12-30_final
1991-04-03 10:41:34	ga_ls5t_ard_3-0-0_110074_1991-04-03_final
1991-08-21 11:09:48	ga_ls5t_ard_3-0-0_114078_1991-08-21_final
1991-09-03 08:58:36	ga_ls5t_ard_3-0-0_093074_1991-09-02_final
1991-09-03 10:37:29	ga_ls5t_ard_3-0-0_109074_1991-09-03_final
1991-09-27 09:51:23	ga_ls5t_ard_3-0-0_101082_1991-09-27_final
1992-08-20 10:36:59	ga_ls5t_ard_3-0-0_109076_1992-08-20_final
1992-08-23 09:32:34	ga_ls5t_ard_3-0-0_098085_1992-08-23_final
1992-11-04 09:23:12	ga_ls5t_ard_3-0-0_097080_1992-11-03_final
1993-01-13 08:44:53	ga_ls5t_ard_3-0-0_091076_1993-01-12_final
1993-03-10 09:33:17	ga_ls5t_ard_3-0-0_099072_1993-03-10_final
1993-10-19 08:50:50	ga_ls5t_ard_3-1-0_092074_1993-10-18_final
1994-01-02 10:10:36	ga_ls5t_ard_3-0-0_105074_1994-01-02_final
1994-06-10 09:28:23	ga_ls5t_ard_3-0-0_098083_1994-06-09_final
1994-11-16 08:43:25	ga_ls5t_ard_3-0-0_091090_1994-11-15_final
1994-11-26 10:52:40	ga_ls5t_ard_3-0-0_113074_1994-11-26_final
1994-12-30 10:38:51	ga_ls5t_ard_3-0-0_111073_1994-12-30_final
1995-05-10 09:27:09	ga_ls5t_ard_3-0-0_100077_1995-05-09_final
1995-06-26 10:19:26	ga_ls5t_ard_3-0-0_109074_1995-06-26_final
1995-07-21 08:38:25	ga_ls5t_ard_3-0-0_092087_1995-07-20_final
1995-10-26 09:13:17	ga_ls5t_ard_3-0-0_099078_1995-10-25_final
1997-03-29 08:49:34	ga_ls5t_ard_3-1-0_091075_1997-03-28_final
1997-08-04 08:59:12	ga_ls5t_ard_3-0-0_091088_1997-08-03_final
1998-01-12 09:43:33	ga_ls5t_ard_3-0-0_098080_1998-01-12_final
1998-12-29 10:39:16	ga_ls5t_ard_3-0-0_107071_1998-12-29_final
2003-08-26 10:57:04	ga_ls5t_ard_3-1-0_110074_2003-08-26_final
2003-09-27 10:57:57	ga_ls5t_ard_3-0-0_110075_2003-09-27_final
2003-10-26 10:27:26	ga_ls5t_ard_3-0-0_105075_2003-10-26_final
2004-04-13 11:08:54	ga_ls5t_ard_3-0-0_111082_2004-04-13_final
2004-05-10 09:15:02	ga_ls5t_ard_3-0-0_092089_2004-05-09_final
2004-06-13 08:58:52	ga_ls5t_ard_3-0-0_090077_2004-06-12_final
2004-07-20 09:22:27	ga_ls5t_ard_3-0-0_093087_2004-07-19_final
2005-03-12 09:04:49	ga_ls5t_ard_3-0-0_090078_2005-03-11_final
2005-07-29 10:27:20	ga_ls5t_ard_3-0-0_103081_2005-07-29_final
2006-05-11 10:41:52	ga_ls5t_ard_3-0-0_105076_2006-05-11_final
2006-07-29 10:00:33	ga_ls5t_ard_3-0-0_098078_2006-07-29_final
2006-08-09 09:37:45	ga_ls5t_ard_3-0-0_095067_2006-08-09_final
2006-09-13 10:13:05	ga_ls5t_ard_3-0-0_100077_2006-09-13_final
2006-11-16 10:11:20	ga_ls5t_ard_3-0-0_100071_2006-11-16_final
2007-01-16 11:20:59	ga_ls5t_ard_3-0-0_111074_2007-01-16_final
2007-01-29 09:16:50	ga_ls5t_ard_3-0-0_090088_2007-01-28_final
2007-02-01 11:20:39	ga_ls5t_ard_3-0-0_111073_2007-02-01_final
2007-02-25 10:29:38	ga_ls5t_ard_3-0-0_103069_2007-02-25_final
2007-04-28 10:44:30	ga_ls5t_ard_3-0-0_105076_2007-04-28_final
2008-01-19 09:40:39	ga_ls5t_ard_3-0-0_095080_2008-01-19_final
2008-07-13 09:31:19	ga_ls5t_ard_3-0-0_095067_2008-07-13_final
2008-09-18 10:04:16	ga_ls5t_ard_3-0-0_100077_2008-09-18_final
2008-10-23 08:58:20	ga_ls5t_ard_3-0-0_089085_2008-10-22_final
2009-02-01 09:20:09	ga_ls5t_ard_3-1-0_092089_2009-01-31_final
2009-04-01 10:36:43	ga_ls5t_ard_3-0-0_105076_2009-04-01_final
2009-04-07 10:00:33	ga_ls5t_ard_3-0-0_099078_2009-04-07_final
2009-06-04 10:37:54	ga_ls5t_ard_3-0-0_105076_2009-06-04_final
2011-09-30 08:59:33	ga_ls5t_ard_3-1-0_089077_2011-09-29_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