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

56 results

Time (local)	Label
1988-03-04 08:55:53	ga_ls5t_ard_3-0-0_091083_1988-03-03_final
1988-03-09 10:46:59	ga_ls5t_ard_3-0-0_110067_1988-03-09_final
1988-07-10 08:53:33	ga_ls5t_ard_3-1-0_091075_1988-07-09_final
1989-12-14 09:21:05	ga_ls5t_ard_3-0-0_097069_1989-12-13_final
1989-12-16 09:07:52	ga_ls5t_ard_3-0-0_095067_1989-12-15_final
1990-02-22 10:23:51	ga_ls5t_ard_3-0-0_107077_1990-02-22_final
1990-07-07 10:27:41	ga_ls5t_ard_3-0-0_108074_1990-07-07_final
1991-01-13 10:39:17	ga_ls5t_ard_3-0-0_110072_1991-01-13_final
1991-09-01 09:08:07	ga_ls5t_ard_3-0-0_095067_1991-08-31_final
1991-09-03 08:55:48	ga_ls5t_ard_3-1-0_093067_1991-09-02_final
1991-12-13 09:20:14	ga_ls5t_ard_3-0-0_096080_1991-12-12_final
1992-03-20 09:10:00	ga_ls5t_ard_3-0-0_094086_1992-03-19_final
1992-07-10 10:40:10	ga_ls5t_ard_3-0-0_110067_1992-07-10_final
1992-10-26 09:29:08	ga_ls5t_ard_3-0-0_098079_1992-10-25_final
1993-03-26 09:32:29	ga_ls5t_ard_3-0-0_099070_1993-03-26_final
1993-07-15 10:29:57	ga_ls5t_ard_3-0-0_108074_1993-07-15_final
1993-11-25 10:50:23	ga_ls5t_ard_3-0-0_111080_1993-11-25_final
1994-05-17 08:41:47	ga_ls5t_ard_3-0-0_090089_1994-05-16_final
1994-06-25 08:41:58	ga_ls5t_ard_3-0-0_091076_1994-06-24_final
1994-12-14 08:58:06	ga_ls5t_ard_3-0-0_095067_1994-12-13_final
1995-02-22 10:02:28	ga_ls5t_ard_3-0-0_105080_1995-02-22_final
1995-05-11 08:35:29	ga_ls5t_ard_3-0-0_091087_1995-05-10_final
1995-05-27 08:29:57	ga_ls5t_ard_3-1-0_091075_1995-05-26_final
1995-07-23 08:26:46	ga_ls5t_ard_3-0-0_090089_1995-07-22_final
1995-09-18 09:50:49	ga_ls5t_ard_3-0-0_105074_1995-09-18_final
1995-11-28 09:54:38	ga_ls5t_ard_3-0-0_106073_1995-11-28_final
1996-12-06 09:41:05	ga_ls5t_ard_3-0-0_100077_1996-12-06_final
1997-04-03 09:07:54	ga_ls5t_ard_3-0-0_094074_1997-04-02_final
1997-06-22 10:49:34	ga_ls5t_ard_3-0-0_110074_1997-06-22_final
1997-07-22 09:21:17	ga_ls5t_ard_3-0-0_096067_1997-07-21_final
1998-04-14 10:10:13	ga_ls5t_ard_3-0-0_102081_1998-04-14_final
1998-05-31 09:28:05	ga_ls5t_ard_3-0-0_095082_1998-05-30_final
1998-06-13 08:56:09	ga_ls5t_ard_3-0-0_090079_1998-06-12_final
1998-08-10 09:29:00	ga_ls5t_ard_3-0-0_096067_1998-08-09_final
1998-08-17 09:40:02	ga_ls5t_ard_3-0-0_097079_1998-08-17_final
1998-09-04 09:23:05	ga_ls5t_ard_3-0-0_095067_1998-09-03_final
1999-04-16 09:26:20	ga_ls5t_ard_3-0-0_095075_1999-04-15_final
1999-05-25 11:07:41	ga_ls5t_ard_3-0-0_112067_1999-05-25_final
1999-05-29 09:07:12	ga_ls5t_ard_3-0-0_092075_1999-05-28_final
1999-05-29 10:45:41	ga_ls5t_ard_3-0-0_108074_1999-05-29_final
1999-06-23 10:40:03	ga_ls5t_ard_3-0-0_107076_1999-06-23_final
1999-09-30 11:05:59	ga_ls5t_ard_3-0-0_112067_1999-09-30_final
2003-07-08 10:10:32	ga_ls5t_ard_3-0-0_103068_2003-07-08_final
2004-01-28 10:40:36	ga_ls5t_ard_3-0-0_107075_2004-01-28_final
2004-02-22 10:32:33	ga_ls5t_ard_3-0-0_106070_2004-02-22_final
2004-04-01 10:40:59	ga_ls5t_ard_3-1-0_107075_2004-04-01_final
2004-04-24 10:47:29	ga_ls5t_ard_3-0-0_108074_2004-04-24_final
2004-07-02 11:11:38	ga_ls5t_ard_3-0-0_111083_2004-07-02_final
2005-03-30 10:33:04	ga_ls5t_ard_3-0-0_104082_2005-03-30_final
2006-11-25 10:08:02	ga_ls5t_ard_3-0-0_099078_2006-11-25_final
2009-03-08 09:49:56	ga_ls5t_ard_3-0-0_097084_2009-03-08_final
2010-10-20 09:07:48	ga_ls5t_ard_3-0-0_090078_2010-10-19_final
2010-12-01 09:40:24	ga_ls5t_ard_3-0-0_096067_2010-12-01_final
2010-12-30 10:50:28	ga_ls5t_ard_3-0-0_107072_2010-12-30_final
2011-04-29 10:00:21	ga_ls5t_ard_3-0-0_099071_2011-04-29_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years