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
1987-09-08 10:41:12	ga_ls5t_ard_3-0-0_109076_1987-09-08_final
1988-04-12 10:37:38	ga_ls5t_ard_3-0-0_108074_1988-04-12_final
1988-06-14 09:58:03	ga_ls5t_ard_3-0-0_101082_1988-06-14_final
1988-07-25 09:48:02	ga_ls5t_ard_3-0-0_100072_1988-07-25_final
1988-08-27 10:32:33	ga_ls5t_ard_3-0-0_107075_1988-08-27_final
1988-12-08 09:04:18	ga_ls5t_ard_3-0-0_092087_1988-12-07_final
1989-02-28 08:47:18	ga_ls5t_ard_3-0-0_090077_1989-02-27_final
1989-05-13 10:58:02	ga_ls5t_ard_3-1-0_112067_1989-05-13_final
1989-12-20 08:51:24	ga_ls5t_ard_3-0-0_091088_1989-12-19_final
1990-03-16 09:43:37	ga_ls5t_ard_3-0-0_101071_1990-03-16_final
1990-10-12 09:33:31	ga_ls5t_ard_3-0-0_099079_1990-10-12_final
1990-11-26 10:40:02	ga_ls5t_ard_3-0-0_110076_1990-11-26_final
1991-01-08 10:21:47	ga_ls5t_ard_3-0-0_107075_1991-01-08_final
1991-06-03 08:34:27	ga_ls5t_ard_3-0-0_089078_1991-06-02_final
1991-10-22 09:41:27	ga_ls5t_ard_3-0-0_100072_1991-10-22_final
1991-11-10 08:35:55	ga_ls5t_ard_3-0-0_089078_1991-11-09_final
1992-02-12 10:25:54	ga_ls5t_ard_3-0-0_107075_1992-02-12_final
1992-04-02 08:36:11	ga_ls5t_ard_3-0-0_089079_1992-04-01_final
1992-09-12 10:42:27	ga_ls5t_ard_3-0-0_110075_1992-09-12_final
1992-10-28 10:50:51	ga_ls5t_ard_3-0-0_112067_1992-10-28_final
1993-02-21 08:55:01	ga_ls5t_ard_3-0-0_092085_1993-02-20_final
1993-06-02 10:45:50	ga_ls5t_ard_3-0-0_111067_1993-06-02_final
1993-09-24 10:36:01	ga_ls5t_ard_3-0-0_109074_1993-09-24_final
1994-05-03 10:02:34	ga_ls5t_ard_3-0-0_104074_1994-05-03_final
1994-06-10 09:28:23	ga_ls5t_ard_3-0-0_098083_1994-06-09_final
1994-11-14 10:27:33	ga_ls5t_ard_3-0-0_109072_1994-11-14_final
1996-03-13 10:43:28	ga_ls5t_ard_3-0-0_112084_1996-03-13_final
1996-05-30 09:18:51	ga_ls5t_ard_3-0-0_098077_1996-05-29_final
1996-06-06 11:03:55	ga_ls5t_ard_3-0-0_115076_1996-06-06_final
1996-08-07 09:41:04	ga_ls5t_ard_3-0-0_101077_1996-08-07_final
1997-02-12 10:57:11	ga_ls5t_ard_3-0-0_112074_1997-02-12_final
1997-02-14 10:43:19	ga_ls5t_ard_3-0-0_110070_1997-02-14_final
1997-04-06 11:18:11	ga_ls5t_ard_3-0-0_115075_1997-04-06_final
1998-06-13 08:56:09	ga_ls5t_ard_3-0-0_090079_1998-06-12_final
1998-12-29 10:40:28	ga_ls5t_ard_3-0-0_107074_1998-12-29_final
1999-01-15 09:46:19	ga_ls5t_ard_3-0-0_098078_1999-01-15_final
1999-03-21 10:25:56	ga_ls5t_ard_3-0-0_105069_1999-03-21_final
2003-08-07 10:26:13	ga_ls5t_ard_3-0-0_105075_2003-08-07_final
2003-09-23 09:44:57	ga_ls5t_ard_3-0-0_098078_2003-09-23_final
2003-11-24 09:57:45	ga_ls5t_ard_3-0-0_100077_2003-11-24_final
2003-12-13 08:50:39	ga_ls5t_ard_3-0-0_089079_2003-12-12_final
2004-01-08 11:04:27	ga_ls5t_ard_3-0-0_111073_2004-01-08_final
2004-07-10 10:21:37	ga_ls5t_ard_3-0-0_103081_2004-07-10_final
2004-12-30 11:32:08	ga_ls5t_ard_3-0-0_114078_2004-12-30_final
2005-06-19 09:37:58	ga_ls5t_ard_3-0-0_095082_2005-06-19_final
2005-10-06 10:44:03	ga_ls5t_ard_3-0-0_106076_2005-10-06_final
2006-04-15 11:44:05	ga_ls5t_ard_3-0-0_115078_2006-04-15_final
2006-04-30 09:21:22	ga_ls5t_ard_3-0-0_092076_2006-04-29_final
2007-05-08 09:39:01	ga_ls5t_ard_3-0-0_095067_2007-05-08_final
2007-09-25 10:06:56	ga_ls5t_ard_3-0-0_099079_2007-09-25_final
2008-12-01 09:02:53	ga_ls5t_ard_3-0-0_090081_2008-11-30_final
2009-03-08 09:49:56	ga_ls5t_ard_3-0-0_097084_2009-03-08_final
2009-05-13 09:39:18	ga_ls5t_ard_3-0-0_095085_2009-05-13_final
2010-01-20 10:01:32	ga_ls5t_ard_3-0-0_099071_2010-01-20_final
2010-06-02 10:18:46	ga_ls5t_ard_3-0-0_102068_2010-06-02_final
2010-09-09 09:17:54	ga_ls5t_ard_3-0-0_091087_2010-09-08_final
2011-01-14 10:07:14	ga_ls5t_ard_3-0-0_100072_2011-01-14_final
2011-03-13 10:42:42	ga_ls5t_ard_3-0-0_106068_2011-03-13_final
2011-10-14 09:14:30	ga_ls5t_ard_3-0-0_091084_2011-10-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years