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

54 results

Time (local)	Label
1987-09-19 08:44:26	ga_ls5t_ard_3-0-0_090077_1987-09-18_final
1987-10-20 09:38:16	ga_ls5t_ard_3-0-0_099071_1987-10-20_final
1988-01-12 10:58:17	ga_ls5t_ard_3-0-0_111082_1988-01-12_final
1988-02-14 10:02:51	ga_ls5t_ard_3-0-0_102081_1988-02-14_final
1988-03-06 08:45:56	ga_ls5t_ard_3-0-0_089089_1988-03-05_final
1988-11-23 09:40:08	ga_ls5t_ard_3-0-0_099068_1988-11-23_final
1989-02-16 10:03:14	ga_ls5t_ard_3-0-0_102081_1989-02-16_final
1989-02-26 10:41:22	ga_ls5t_ard_3-0-0_108084_1989-02-26_final
1989-04-10 08:41:16	ga_ls5t_ard_3-0-0_089079_1989-04-09_final
1989-12-27 10:29:04	ga_ls5t_ard_3-0-0_108070_1989-12-27_final
1990-04-11 08:47:50	ga_ls5t_ard_3-0-0_091087_1990-04-10_final
1990-07-24 09:33:59	ga_ls5t_ard_3-0-0_099079_1990-07-24_final
1990-12-15 09:28:55	ga_ls5t_ard_3-0-0_099068_1990-12-14_final
1991-02-10 09:24:25	ga_ls5t_ard_3-0-0_098069_1991-02-09_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1991-12-22 10:50:01	ga_ls5t_ard_3-0-0_111073_1991-12-22_final
1992-01-19 09:38:10	ga_ls5t_ard_3-0-0_099079_1992-01-19_final
1992-11-06 10:46:53	ga_ls5t_ard_3-0-0_111073_1992-11-06_final
1993-07-08 08:48:52	ga_ls5t_ard_3-0-0_091084_1993-07-07_final
1994-03-22 09:28:15	ga_ls5t_ard_3-0-0_098079_1994-03-21_final
1994-10-10 08:22:58	ga_ls5t_ard_3-1-0_088082_1994-10-09_final
1994-11-02 08:27:09	ga_ls5t_ard_3-0-0_089079_1994-11-01_final
1995-03-17 10:04:08	ga_ls5t_ard_3-0-0_106071_1995-03-17_final
1995-03-23 09:29:36	ga_ls5t_ard_3-0-0_100078_1995-03-22_final
1996-03-22 08:54:12	ga_ls5t_ard_3-0-0_095072_1996-03-21_final
1996-04-28 09:17:25	ga_ls5t_ard_3-0-0_098078_1996-04-27_final
1997-02-17 09:35:27	ga_ls5t_ard_3-0-0_099070_1997-02-17_final
1997-03-28 09:45:33	ga_ls5t_ard_3-0-0_100076_1997-03-28_final
1998-01-03 11:27:37	ga_ls5t_ard_3-0-0_115078_1998-01-03_final
1998-01-31 10:10:04	ga_ls5t_ard_3-0-0_103068_1998-01-31_final
1999-01-31 09:43:36	ga_ls5t_ard_3-0-0_098071_1999-01-31_final
1999-03-11 09:48:36	ga_ls5t_ard_3-0-0_099068_1999-03-11_final
1999-08-18 11:29:34	ga_ls5t_ard_3-0-0_115077_1999-08-18_final
1999-11-06 09:49:58	ga_ls5t_ard_3-0-0_099079_1999-11-06_final
2004-05-11 09:54:20	ga_ls5t_ard_3-0-0_099079_2004-05-11_final
2004-09-13 09:24:24	ga_ls5t_ard_3-0-0_094073_2004-09-12_final
2005-04-18 11:00:51	ga_ls5t_ard_3-0-0_109074_2005-04-18_final
2006-05-12 11:21:32	ga_ls5t_ard_3-1-0_112067_2006-05-12_final
2006-05-27 10:42:04	ga_ls5t_ard_3-0-0_105076_2006-05-27_final
2006-06-18 10:05:44	ga_ls5t_ard_3-0-0_099077_2006-06-18_final
2006-07-20 10:09:00	ga_ls5t_ard_3-0-0_099084_2006-07-20_final
2006-07-25 10:26:24	ga_ls5t_ard_3-0-0_102081_2006-07-25_final
2006-10-17 10:03:53	ga_ls5t_ard_3-0-0_098084_2006-10-17_final
2007-04-02 10:08:47	ga_ls5t_ard_3-0-0_099079_2007-04-02_final
2008-03-19 10:00:16	ga_ls5t_ard_3-0-0_099070_2008-03-19_final
2008-12-09 11:25:53	ga_ls5t_ard_3-1-0_114067_2008-12-09_final
2009-05-25 10:01:27	ga_ls5t_ard_3-0-0_099078_2009-05-25_final
2009-09-29 09:23:46	ga_ls5t_ard_3-0-0_092087_2009-09-28_final
2010-01-10 11:02:54	ga_ls5t_ard_3-0-0_109070_2010-01-10_final
2010-01-25 10:19:18	ga_ls5t_ard_3-0-0_102069_2010-01-25_final
2010-02-12 10:07:48	ga_ls5t_ard_3-0-0_100071_2010-02-12_final
2010-12-28 11:02:01	ga_ls5t_ard_3-0-0_109070_2010-12-28_final
2011-06-11 09:41:34	ga_ls5t_ard_3-0-0_096071_2011-06-11_final
2011-10-20 10:11:53	ga_ls5t_ard_3-0-0_101073_2011-10-20_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