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

62 results

Time (local)	Label
1986-08-19 09:54:46	ga_ls5t_ard_3-0-0_102081_1986-08-19_final
1987-10-10 10:43:29	ga_ls5t_ard_3-0-0_109080_1987-10-10_final
1987-11-20 08:58:01	ga_ls5t_ard_3-0-0_092077_1987-11-19_final
1987-12-06 10:34:45	ga_ls5t_ard_3-0-0_108071_1987-12-06_final
1988-04-21 08:58:37	ga_ls5t_ard_3-0-0_091089_1988-04-20_final
1988-09-12 10:35:20	ga_ls5t_ard_3-0-0_107082_1988-09-12_final
1989-05-12 10:20:48	ga_ls5t_ard_3-0-0_105082_1989-05-12_final
1989-05-13 11:00:50	ga_ls5t_ard_3-0-0_112074_1989-05-13_final
1989-05-25 09:45:17	ga_ls5t_ard_3-0-0_100071_1989-05-25_final
1989-11-16 08:56:11	ga_ls5t_ard_3-0-0_093067_1989-11-15_final
1989-11-16 10:37:52	ga_ls5t_ard_3-0-0_109074_1989-11-16_final
1989-12-27 10:29:04	ga_ls5t_ard_3-0-0_108070_1989-12-27_final
1990-12-06 09:36:08	ga_ls5t_ard_3-1-0_100071_1990-12-06_final
1991-09-03 10:38:17	ga_ls5t_ard_3-0-0_109076_1991-09-03_final
1992-02-24 09:15:47	ga_ls5t_ard_3-0-0_095085_1992-02-23_final
1992-04-21 09:06:56	ga_ls5t_ard_3-0-0_094079_1992-04-20_final
1992-05-25 10:34:20	ga_ls5t_ard_3-0-0_108082_1992-05-25_final
1992-07-19 10:36:41	ga_ls5t_ard_3-0-0_109074_1992-07-19_final
1992-07-21 10:25:05	ga_ls5t_ard_3-0-0_107076_1992-07-21_final
1992-12-11 09:42:57	ga_ls5t_ard_3-0-0_100083_1992-12-11_final
1992-12-28 08:46:41	ga_ls5t_ard_3-0-0_091081_1992-12-27_final
1993-03-16 08:57:25	ga_ls5t_ard_3-0-0_093075_1993-03-15_final
1993-12-10 10:04:16	ga_ls5t_ard_3-0-0_104073_1993-12-10_final
1994-03-03 10:35:19	ga_ls5t_ard_3-0-0_109076_1994-03-03_final
1994-08-22 09:21:07	ga_ls5t_ard_3-0-0_097085_1994-08-21_final
1994-11-14 08:53:04	ga_ls5t_ard_3-0-0_093083_1994-11-13_final
1994-11-22 09:40:13	ga_ls5t_ard_3-0-0_101078_1994-11-22_final
1995-02-26 09:34:48	ga_ls5t_ard_3-0-0_101073_1995-02-26_final
1995-03-23 09:26:48	ga_ls5t_ard_3-0-0_100071_1995-03-22_final
1995-05-05 09:07:15	ga_ls5t_ard_3-0-0_097073_1995-05-04_final
1995-07-05 08:38:45	ga_ls5t_ard_3-0-0_092086_1995-07-04_final
1996-06-22 11:05:35	ga_ls5t_ard_3-0-0_115078_1996-06-22_final
1996-07-30 10:32:29	ga_ls5t_ard_3-0-0_109083_1996-07-30_final
1996-10-20 08:46:01	ga_ls5t_ard_3-0-0_091084_1996-10-19_final
1997-06-01 08:51:50	ga_ls5t_ard_3-1-0_091075_1997-05-31_final
1997-08-24 10:11:12	ga_ls5t_ard_3-0-0_103081_1997-08-24_final
1998-06-28 09:51:33	ga_ls5t_ard_3-0-0_099078_1998-06-28_final
1998-11-23 11:05:07	ga_ls5t_ard_3-0-0_111074_1998-11-23_final
1999-01-14 10:41:09	ga_ls5t_ard_3-0-0_107076_1999-01-14_final
1999-05-14 09:48:03	ga_ls5t_ard_3-0-0_099068_1999-05-14_final
1999-06-10 09:36:08	ga_ls5t_ard_3-1-0_096086_1999-06-10_final
1999-07-17 09:52:03	ga_ls5t_ard_3-0-0_099080_1999-07-17_final
2003-08-17 11:05:04	ga_ls5t_ard_3-0-0_111079_2003-08-17_final
2004-02-06 10:34:03	ga_ls5t_ard_3-0-0_106074_2004-02-06_final
2004-09-16 09:56:58	ga_ls5t_ard_3-0-0_099077_2004-09-16_final
2004-10-15 09:25:07	ga_ls5t_ard_3-0-0_094073_2004-10-14_final
2004-12-27 09:26:18	ga_ls5t_ard_3-0-0_093088_2004-12-26_final
2005-05-11 09:30:41	ga_ls5t_ard_3-0-0_094080_2005-05-11_final
2005-09-21 09:49:17	ga_ls5t_ard_3-0-0_097078_2005-09-21_final
2006-02-18 10:55:09	ga_ls5t_ard_3-0-0_107082_2006-02-18_final
2006-02-25 11:01:28	ga_ls5t_ard_3-0-0_108082_2006-02-25_final
2006-08-10 10:26:37	ga_ls5t_ard_3-0-0_102081_2006-08-10_final
2006-09-16 09:09:56	ga_ls5t_ard_3-0-0_089089_2006-09-15_final
2007-03-18 09:14:01	ga_ls5t_ard_3-0-0_090081_2007-03-17_final
2008-05-03 09:27:05	ga_ls5t_ard_3-0-0_094067_2008-05-02_final
2008-11-23 11:30:10	ga_ls5t_ard_3-0-0_114079_2008-11-23_final
2009-09-05 10:06:31	ga_ls5t_ard_3-0-0_100071_2009-09-05_final
2009-11-08 10:11:36	ga_ls5t_ard_3-0-0_100082_2009-11-08_final
2009-11-10 10:00:03	ga_ls5t_ard_3-0-0_098084_2009-11-10_final
2009-11-11 09:02:03	ga_ls5t_ard_3-0-0_089078_2009-11-10_final
2010-05-25 11:10:39	ga_ls5t_ard_3-1-0_110074_2010-05-25_final
2010-12-08 09:52:09	ga_ls5t_ard_3-0-0_097081_2010-12-08_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