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

59 results

Time (local)	Label
1987-11-29 08:56:23	ga_ls5t_ard_3-0-0_091088_1987-11-28_final
1987-12-02 11:00:37	ga_ls5t_ard_3-0-0_112074_1987-12-02_final
1988-05-17 09:33:57	ga_ls5t_ard_3-1-0_097084_1988-05-17_final
1988-07-07 09:58:44	ga_ls5t_ard_3-0-0_102068_1988-07-07_final
1988-10-10 09:15:00	ga_ls5t_ard_3-0-0_095067_1988-10-09_final
1988-10-17 11:00:02	ga_ls5t_ard_3-1-0_112067_1988-10-17_final
1989-01-02 10:32:05	ga_ls5t_ard_3-0-0_107075_1989-01-02_final
1989-02-27 11:22:13	ga_ls5t_ard_3-0-0_115078_1989-02-27_final
1989-11-02 10:26:28	ga_ls5t_ard_3-0-0_107075_1989-11-02_final
1990-07-16 08:48:58	ga_ls5t_ard_3-0-0_091090_1990-07-15_final
1990-07-16 10:21:51	ga_ls5t_ard_3-0-0_107075_1990-07-16_final
1991-01-04 10:45:13	ga_ls5t_ard_3-1-0_111072_1991-01-04_final
1991-01-14 09:47:41	ga_ls5t_ard_3-0-0_101082_1991-01-14_final
1991-11-24 10:26:00	ga_ls5t_ard_3-0-0_107075_1991-11-24_final
1991-12-02 09:38:21	ga_ls5t_ard_3-0-0_099079_1991-12-02_final
1992-02-26 10:37:55	ga_ls5t_ard_3-0-0_109074_1992-02-26_final
1992-05-20 08:39:44	ga_ls5t_ard_3-1-0_089089_1992-05-19_final
1992-10-18 08:42:10	ga_ls5t_ard_3-0-0_090085_1992-10-17_final
1993-01-31 08:34:44	ga_ls5t_ard_3-0-0_089081_1993-01-30_final
1993-03-02 10:23:49	ga_ls5t_ard_3-0-0_107075_1993-03-02_final
1994-04-30 09:32:56	ga_ls5t_ard_3-0-0_099077_1994-04-30_final
1994-09-16 10:46:00	ga_ls5t_ard_3-1-0_112067_1994-09-16_final
1995-02-06 10:04:19	ga_ls5t_ard_3-1-0_105083_1995-02-06_final
1996-01-18 08:53:52	ga_ls5t_ard_3-0-0_095082_1996-01-17_final
1996-03-13 10:39:29	ga_ls5t_ard_3-0-0_112074_1996-03-13_final
1996-03-24 08:40:22	ga_ls5t_ard_3-1-0_093068_1996-03-23_final
1996-05-13 08:38:14	ga_ls5t_ard_3-0-0_091086_1996-05-12_final
1996-06-06 09:23:02	ga_ls5t_ard_3-0-0_099071_1996-06-05_final
1996-07-22 09:40:13	ga_ls5t_ard_3-0-0_101077_1996-07-22_final
1996-07-25 08:35:35	ga_ls5t_ard_3-0-0_090085_1996-07-24_final
1996-09-17 09:39:31	ga_ls5t_ard_3-0-0_100083_1996-09-17_final
1996-11-13 09:31:01	ga_ls5t_ard_3-0-0_099070_1996-11-13_final
1997-11-20 11:01:01	ga_ls5t_ard_3-0-0_111076_1997-11-20_final
1997-11-28 10:13:46	ga_ls5t_ard_3-0-0_103081_1997-11-28_final
1998-04-20 11:09:19	ga_ls5t_ard_3-0-0_112074_1998-04-20_final
1998-06-10 10:05:18	ga_ls5t_ard_3-0-0_101082_1998-06-10_final
1998-06-22 08:51:15	ga_ls5t_ard_3-0-0_089082_1998-06-21_final
1998-07-21 09:59:36	ga_ls5t_ard_3-0-0_100082_1998-07-21_final
1999-08-18 09:47:29	ga_ls5t_ard_3-0-0_099069_1999-08-18_final
1999-09-29 10:29:06	ga_ls5t_ard_3-1-0_105083_1999-09-29_final
1999-11-22 09:48:57	ga_ls5t_ard_3-0-0_099078_1999-11-22_final
2003-07-14 09:33:57	ga_ls5t_ard_3-1-0_097069_2003-07-14_final
2003-08-12 09:09:08	ga_ls5t_ard_3-0-0_092083_2003-08-11_final
2003-11-16 10:47:50	ga_ls5t_ard_3-0-0_108079_2003-11-16_final
2004-06-27 09:10:28	ga_ls5t_ard_3-1-0_092074_2004-06-26_final
2004-10-22 09:35:50	ga_ls5t_ard_3-0-0_095084_2004-10-22_final
2004-12-22 10:41:47	ga_ls5t_ard_3-0-0_106076_2004-12-22_final
2005-10-15 09:04:33	ga_ls5t_ard_3-1-0_089090_2005-10-14_final
2006-05-10 10:01:23	ga_ls5t_ard_3-0-0_098083_2006-05-10_final
2006-06-24 11:07:15	ga_ls5t_ard_3-0-0_109076_2006-06-24_final
2007-01-17 10:28:09	ga_ls5t_ard_3-0-0_102081_2007-01-17_final
2007-01-20 09:18:12	ga_ls5t_ard_3-0-0_091076_2007-01-19_final
2007-07-13 11:07:48	ga_ls5t_ard_3-0-0_109075_2007-07-13_final
2008-02-16 10:01:42	ga_ls5t_ard_3-0-0_099072_2008-02-16_final
2009-10-04 09:34:23	ga_ls5t_ard_3-0-0_095067_2009-10-04_final
2010-09-25 10:55:05	ga_ls5t_ard_3-0-0_107083_2010-09-25_final
2011-01-27 09:34:20	ga_ls5t_ard_3-0-0_095067_2011-01-27_final
2011-02-12 11:16:27	ga_ls5t_ard_3-0-0_111075_2011-02-12_final
2011-08-07 09:35:43	ga_ls5t_ard_3-0-0_095073_2011-08-07_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