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

47 results

Time (local)	Label
1988-08-05 09:28:41	ga_ls5t_ard_3-0-0_097070_1988-08-04_final
1989-02-09 09:54:40	ga_ls5t_ard_3-0-0_101075_1989-02-09_final
1989-05-02 09:39:31	ga_ls5t_ard_3-0-0_099071_1989-05-02_final
1989-05-02 09:42:42	ga_ls5t_ard_3-0-0_099079_1989-05-02_final
1990-02-14 09:35:27	ga_ls5t_ard_3-0-0_099079_1990-02-14_final
1990-05-28 09:39:53	ga_ls5t_ard_3-0-0_100078_1990-05-28_final
1991-04-19 10:41:50	ga_ls5t_ard_3-0-0_110074_1991-04-19_final
1991-04-25 10:05:15	ga_ls5t_ard_3-0-0_104075_1991-04-25_final
1991-04-28 10:35:50	ga_ls5t_ard_3-0-0_109074_1991-04-28_final
1991-06-06 09:03:48	ga_ls5t_ard_3-0-0_094074_1991-06-05_final
1992-10-16 10:29:02	ga_ls5t_ard_3-0-0_108074_1992-10-16_final
1993-02-23 10:14:45	ga_ls5t_ard_3-0-0_106068_1993-02-23_final
1993-04-21 08:36:06	ga_ls5t_ard_3-0-0_089083_1993-04-20_final
1993-07-07 09:43:41	ga_ls5t_ard_3-0-0_100082_1993-07-07_final
1993-10-21 10:18:56	ga_ls5t_ard_3-0-0_106078_1993-10-21_final
1994-05-21 09:52:17	ga_ls5t_ard_3-0-0_102080_1994-05-21_final
1994-06-11 08:31:56	ga_ls5t_ard_3-0-0_089081_1994-06-10_final
1994-10-09 10:58:18	ga_ls5t_ard_3-1-0_113084_1994-10-09_final
1994-11-22 09:39:49	ga_ls5t_ard_3-0-0_101077_1994-11-22_final
1995-01-15 09:00:12	ga_ls5t_ard_3-0-0_095075_1995-01-14_final
1995-08-14 09:23:59	ga_ls5t_ard_3-0-0_100080_1995-08-13_final
1995-11-20 09:06:32	ga_ls5t_ard_3-0-0_098077_1995-11-19_final
1996-02-25 08:18:36	ga_ls5t_ard_3-1-0_089080_1996-02-24_final
1996-06-06 11:03:55	ga_ls5t_ard_3-0-0_115076_1996-06-06_final
1996-10-06 08:30:33	ga_ls5t_ard_3-0-0_089078_1996-10-05_final
1997-01-18 09:25:22	ga_ls5t_ard_3-0-0_097079_1997-01-17_final
1998-07-15 10:33:49	ga_ls5t_ard_3-0-0_106075_1998-07-15_final
1999-03-11 09:48:36	ga_ls5t_ard_3-0-0_099068_1999-03-11_final
1999-05-23 09:42:49	ga_ls5t_ard_3-0-0_098071_1999-05-23_final
1999-07-17 09:47:39	ga_ls5t_ard_3-0-0_099069_1999-07-17_final
1999-10-31 10:23:16	ga_ls5t_ard_3-0-0_105069_1999-10-31_final
2003-06-30 11:01:02	ga_ls5t_ard_3-1-0_111071_2003-06-30_final
2004-02-01 10:14:42	ga_ls5t_ard_3-0-0_103072_2004-02-01_final
2004-08-21 09:23:11	ga_ls5t_ard_3-0-0_093087_2004-08-20_final
2006-08-14 10:00:21	ga_ls5t_ard_3-0-0_098077_2006-08-14_final
2007-01-23 11:27:36	ga_ls5t_ard_3-0-0_112075_2007-01-23_final
2007-01-28 10:04:29	ga_ls5t_ard_3-0-0_099068_2007-01-28_final
2007-07-23 10:04:19	ga_ls5t_ard_3-0-0_099071_2007-07-23_final
2008-03-10 10:07:26	ga_ls5t_ard_3-0-0_100072_2008-03-10_final
2008-09-27 09:54:13	ga_ls5t_ard_3-0-0_099068_2008-09-27_final
2009-01-04 10:30:47	ga_ls5t_ard_3-1-0_104082_2009-01-04_final
2009-01-11 08:57:51	ga_ls5t_ard_3-0-0_089081_2009-01-10_final
2010-03-31 11:04:39	ga_ls5t_ard_3-0-0_109074_2010-03-31_final
2010-06-13 10:00:59	ga_ls5t_ard_3-0-0_099070_2010-06-13_final
2010-07-17 09:51:40	ga_ls5t_ard_3-0-0_097078_2010-07-17_final
2010-12-30 10:50:04	ga_ls5t_ard_3-0-0_107071_2010-12-30_final
2011-10-04 10:12:25	ga_ls5t_ard_3-0-0_101074_2011-10-04_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