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
1987-09-07 09:59:54	ga_ls5t_ard_3-0-0_102081_1987-09-07_final
1987-09-28 08:40:03	ga_ls5t_ard_3-0-0_089081_1987-09-27_final
1987-12-02 11:04:36	ga_ls5t_ard_3-0-0_112084_1987-12-02_final
1988-02-25 09:40:52	ga_ls5t_ard_3-0-0_099072_1988-02-25_final
1988-06-24 08:59:05	ga_ls5t_ard_3-0-0_091089_1988-06-23_final
1988-10-16 08:42:40	ga_ls5t_ard_3-0-0_089079_1988-10-15_final
1989-04-27 09:26:35	ga_ls5t_ard_3-0-0_096085_1989-04-26_final
1990-09-10 11:12:15	ga_ls5t_ard_3-0-0_115078_1990-09-10_final
1991-01-20 09:12:23	ga_ls5t_ard_3-0-0_095086_1991-01-19_final
1991-06-04 10:59:01	ga_ls5t_ard_3-0-0_112084_1991-06-04_final
1991-08-03 09:42:23	ga_ls5t_ard_3-0-0_100076_1991-08-03_final
1991-11-09 09:28:44	ga_ls5t_ard_3-0-0_098071_1991-11-08_final
1991-12-02 09:37:33	ga_ls5t_ard_3-0-0_099077_1991-12-02_final
1992-06-09 09:50:56	ga_ls5t_ard_3-0-0_101082_1992-06-09_final
1994-07-22 08:24:41	ga_ls5t_ard_3-1-0_088081_1994-07-21_final
1994-08-18 09:44:44	ga_ls5t_ard_3-0-0_101082_1994-08-18_final
1994-08-26 08:51:54	ga_ls5t_ard_3-0-0_093074_1994-08-25_final
1994-09-24 08:23:03	ga_ls5t_ard_3-1-0_088081_1994-09-23_final
1994-10-29 08:55:13	ga_ls5t_ard_3-0-0_093087_1994-10-28_final
1995-03-07 09:29:28	ga_ls5t_ard_3-0-0_100076_1995-03-06_final
1995-07-20 09:29:42	ga_ls5t_ard_3-0-0_101076_1995-07-19_final
1995-07-30 10:09:08	ga_ls5t_ard_3-0-0_107083_1995-07-30_final
1995-12-13 09:11:12	ga_ls5t_ard_3-0-0_099070_1995-12-12_final
1996-01-18 10:29:10	ga_ls5t_ard_3-0-0_111073_1996-01-18_final
1996-03-18 09:17:28	ga_ls5t_ard_3-0-0_099069_1996-03-17_final
1996-05-20 08:45:12	ga_ls5t_ard_3-0-0_092087_1996-05-19_final
1996-08-24 08:50:20	ga_ls5t_ard_3-0-0_092087_1996-08-23_final
1998-02-06 11:17:11	ga_ls5t_ard_3-1-0_113081_1998-02-06_final
1998-08-29 10:03:19	ga_ls5t_ard_3-0-0_101075_1998-08-29_final
1998-11-28 09:48:45	ga_ls5t_ard_3-1-0_098084_1998-11-28_final
1998-12-12 09:55:51	ga_ls5t_ard_3-1-0_100071_1998-12-12_final
1999-03-14 10:19:52	ga_ls5t_ard_3-0-0_104069_1999-03-14_final
1999-05-15 10:33:17	ga_ls5t_ard_3-0-0_106073_1999-05-15_final
1999-08-20 09:36:41	ga_ls5t_ard_3-0-0_097073_1999-08-20_final
1999-12-05 10:54:14	ga_ls5t_ard_3-0-0_110072_1999-12-05_final
1999-12-08 09:50:13	ga_ls5t_ard_3-0-0_099082_1999-12-08_final
2003-06-30 11:01:02	ga_ls5t_ard_3-1-0_111071_2003-06-30_final
2003-12-07 11:04:12	ga_ls5t_ard_3-0-0_111073_2003-12-07_final
2005-05-19 10:20:11	ga_ls5t_ard_3-0-0_102080_2005-05-19_final
2005-07-17 09:58:06	ga_ls5t_ard_3-0-0_099070_2005-07-17_final
2005-10-21 10:01:58	ga_ls5t_ard_3-0-0_099079_2005-10-21_final
2005-10-30 09:57:45	ga_ls5t_ard_3-0-0_098084_2005-10-30_final
2006-06-03 09:14:17	ga_ls5t_ard_3-0-0_090088_2006-06-02_final
2006-09-22 10:04:37	ga_ls5t_ard_3-0-0_099071_2006-09-22_final
2006-12-22 09:52:06	ga_ls5t_ard_3-0-0_096084_2006-12-22_final
2008-04-20 09:58:20	ga_ls5t_ard_3-0-0_099067_2008-04-20_final
2008-08-14 11:11:39	ga_ls5t_ard_3-0-0_111073_2008-08-14_final
2008-08-26 09:58:46	ga_ls5t_ard_3-0-0_099077_2008-08-26_final
2008-12-29 11:08:31	ga_ls5t_ard_3-0-0_110084_2008-12-29_final
2009-01-11 10:31:58	ga_ls5t_ard_3-0-0_105069_2009-01-11_final
2009-03-06 09:55:51	ga_ls5t_ard_3-0-0_099068_2009-03-06_final
2009-03-12 11:00:12	ga_ls5t_ard_3-0-0_109074_2009-03-12_final
2009-04-11 09:33:55	ga_ls5t_ard_3-0-0_095073_2009-04-11_final
2009-04-15 10:49:45	ga_ls5t_ard_3-0-0_107077_2009-04-15_final
2009-05-23 10:12:59	ga_ls5t_ard_3-0-0_101076_2009-05-23_final
2009-05-25 09:57:52	ga_ls5t_ard_3-0-0_099069_2009-05-25_final
2009-12-07 11:18:14	ga_ls5t_ard_3-0-0_111078_2009-12-07_final
2010-01-28 10:55:48	ga_ls5t_ard_3-0-0_107083_2010-01-28_final
2010-04-24 10:13:56	ga_ls5t_ard_3-0-0_101071_2010-04-24_final
2010-11-05 09:10:55	ga_ls5t_ard_3-0-0_090086_2010-11-04_final
2011-01-13 11:02:27	ga_ls5t_ard_3-0-0_109071_2011-01-13_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