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

55 results

Time (local)	Label
1987-07-16 09:39:06	ga_ls5t_ard_3-0-0_099079_1987-07-16_final
1987-09-02 09:40:02	ga_ls5t_ard_3-0-0_099078_1987-09-02_final
1987-09-28 08:38:51	ga_ls5t_ard_3-0-0_089078_1987-09-27_final
1988-01-11 08:36:07	ga_ls5t_ard_3-0-0_088082_1988-01-10_final
1988-02-09 09:43:26	ga_ls5t_ard_3-0-0_099079_1988-02-09_final
1988-04-13 09:43:13	ga_ls5t_ard_3-0-0_099077_1988-04-13_final
1988-05-07 08:58:46	ga_ls5t_ard_3-0-0_091089_1988-05-06_final
1988-06-24 08:59:05	ga_ls5t_ard_3-0-0_091089_1988-06-23_final
1988-07-19 08:48:12	ga_ls5t_ard_3-0-0_090077_1988-07-18_final
1988-08-23 09:15:10	ga_ls5t_ard_3-0-0_095067_1988-08-22_final
1988-10-22 09:44:28	ga_ls5t_ard_3-0-0_099079_1988-10-22_final
1988-12-26 08:52:37	ga_ls5t_ard_3-0-0_090089_1988-12-25_final
1990-03-11 09:24:26	ga_ls5t_ard_3-0-0_098069_1990-03-10_final
1990-07-15 09:39:00	ga_ls5t_ard_3-0-0_100076_1990-07-15_final
1991-06-04 10:55:01	ga_ls5t_ard_3-0-0_112074_1991-06-04_final
1991-06-26 08:43:45	ga_ls5t_ard_3-0-0_090085_1991-06-25_final
1991-11-17 10:17:48	ga_ls5t_ard_3-0-0_106070_1991-11-17_final
1992-03-23 11:16:33	ga_ls5t_ard_3-0-0_115078_1992-03-23_final
1992-06-09 09:48:56	ga_ls5t_ard_3-0-0_101077_1992-06-09_final
1992-10-10 09:28:52	ga_ls5t_ard_3-0-0_098078_1992-10-09_final
1993-02-17 09:19:20	ga_ls5t_ard_3-0-0_096084_1993-02-16_final
1993-09-06 09:09:10	ga_ls5t_ard_3-0-0_095073_1993-09-05_final
1993-10-19 08:50:50	ga_ls5t_ard_3-1-0_092074_1993-10-18_final
1994-12-04 08:26:55	ga_ls5t_ard_3-0-0_089081_1994-12-03_final
1996-02-08 09:09:53	ga_ls5t_ard_3-0-0_098072_1996-02-07_final
1996-06-17 10:45:10	ga_ls5t_ard_3-0-0_112074_1996-06-17_final
1996-09-10 11:09:26	ga_ls5t_ard_3-0-0_115077_1996-09-10_final
1996-11-07 10:07:01	ga_ls5t_ard_3-0-0_105068_1996-11-07_final
1997-01-13 10:41:54	ga_ls5t_ard_3-0-0_110070_1997-01-13_final
1997-12-18 09:45:33	ga_ls5t_ard_3-0-0_099071_1997-12-18_final
1998-03-09 08:54:23	ga_ls5t_ard_3-0-0_090078_1998-03-08_final
1998-07-13 09:12:28	ga_ls5t_ard_3-0-0_092088_1998-07-12_final
1999-05-30 09:48:51	ga_ls5t_ard_3-0-0_099071_1999-05-30_final
1999-08-10 10:39:02	ga_ls5t_ard_3-0-0_107074_1999-08-10_final
2004-01-13 09:48:30	ga_ls5t_ard_3-0-0_098084_2004-01-13_final
2004-02-24 10:25:00	ga_ls5t_ard_3-1-0_104082_2004-02-24_final
2004-02-29 10:40:22	ga_ls5t_ard_3-0-0_107074_2004-02-29_final
2004-09-16 09:57:22	ga_ls5t_ard_3-0-0_099078_2004-09-16_final
2005-01-03 09:31:22	ga_ls5t_ard_3-0-0_094085_2005-01-03_final
2006-02-03 09:54:48	ga_ls5t_ard_3-0-0_098071_2006-02-03_final
2006-02-26 10:03:53	ga_ls5t_ard_3-0-0_099077_2006-02-26_final
2006-04-24 11:38:51	ga_ls5t_ard_3-0-0_114080_2006-04-24_final
2006-04-30 09:21:22	ga_ls5t_ard_3-0-0_092076_2006-04-29_final
2007-03-15 10:22:25	ga_ls5t_ard_3-0-0_101082_2007-03-15_final
2007-03-24 10:11:49	ga_ls5t_ard_3-0-0_100071_2007-03-24_final
2007-08-08 11:45:51	ga_ls5t_ard_3-0-0_115078_2007-08-08_final
2008-02-25 09:57:45	ga_ls5t_ard_3-0-0_098078_2008-02-25_final
2008-04-20 10:02:20	ga_ls5t_ard_3-0-0_099077_2008-04-20_final
2008-10-13 09:57:41	ga_ls5t_ard_3-0-0_099078_2008-10-13_final
2009-02-27 09:50:42	ga_ls5t_ard_3-0-0_098071_2009-02-27_final
2009-04-30 10:06:45	ga_ls5t_ard_3-0-0_100077_2009-04-30_final
2010-03-19 10:40:45	ga_ls5t_ard_3-0-0_105076_2010-03-19_final
2010-04-12 09:48:52	ga_ls5t_ard_3-0-0_097070_2010-04-12_final
2010-12-26 11:13:11	ga_ls5t_ard_3-0-0_111067_2010-12-26_final
2011-05-15 10:02:41	ga_ls5t_ard_3-0-0_099077_2011-05-15_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