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

70 results

Time (local)	Label
1987-09-11 09:33:17	ga_ls5t_ard_3-0-0_098076_1987-09-11_final
1987-11-02 10:51:41	ga_ls5t_ard_3-0-0_110084_1987-11-02_final
1988-03-30 11:05:42	ga_ls5t_ard_3-0-0_113067_1988-03-30_final
1988-12-20 09:28:30	ga_ls5t_ard_3-0-0_096086_1988-12-19_final
1989-01-20 10:17:24	ga_ls5t_ard_3-0-0_105070_1989-01-20_final
1989-02-24 10:46:58	ga_ls5t_ard_3-0-0_110067_1989-02-24_final
1989-07-04 09:01:04	ga_ls5t_ard_3-0-0_092086_1989-07-03_final
1990-10-29 08:40:33	ga_ls5t_ard_3-0-0_090086_1990-10-28_final
1990-12-31 09:32:32	ga_ls5t_ard_3-0-0_099076_1990-12-31_final
1991-02-27 10:10:26	ga_ls5t_ard_3-1-0_105075_1991-02-27_final
1991-11-29 09:09:47	ga_ls5t_ard_3-0-0_094085_1991-11-28_final
1992-02-04 09:35:24	ga_ls5t_ard_3-0-0_099072_1992-02-04_final
1992-02-18 09:52:01	ga_ls5t_ard_3-0-0_101083_1992-02-18_final
1992-03-27 10:54:08	ga_ls5t_ard_3-0-0_111084_1992-03-27_final
1992-04-16 10:26:31	ga_ls5t_ard_3-0-0_107077_1992-04-16_final
1992-04-23 08:57:43	ga_ls5t_ard_3-0-0_092087_1992-04-22_final
1992-10-28 10:53:38	ga_ls5t_ard_3-0-0_112074_1992-10-28_final
1993-01-09 09:08:46	ga_ls5t_ard_3-0-0_095074_1993-01-08_final
1993-09-11 09:27:41	ga_ls5t_ard_3-0-0_098073_1993-09-10_final
1994-08-12 10:19:09	ga_ls5t_ard_3-0-0_107075_1994-08-12_final
1994-09-25 10:41:58	ga_ls5t_ard_3-0-0_111073_1994-09-25_final
1995-01-21 10:01:22	ga_ls5t_ard_3-0-0_105074_1995-01-21_final
1995-05-17 09:34:37	ga_ls5t_ard_3-0-0_101081_1995-05-17_final
1995-06-08 08:57:17	ga_ls5t_ard_3-0-0_095083_1995-06-07_final
1995-06-28 08:28:54	ga_ls5t_ard_3-0-0_091076_1995-06-27_final
1995-10-30 08:45:57	ga_ls5t_ard_3-0-0_095072_1995-10-29_final
1996-04-12 09:14:03	ga_ls5t_ard_3-0-0_098072_1996-04-11_final
1996-11-12 10:28:35	ga_ls5t_ard_3-0-0_108075_1996-11-12_final
1996-12-23 08:50:39	ga_ls5t_ard_3-0-0_091088_1996-12-22_final
1997-01-20 09:10:42	ga_ls5t_ard_3-0-0_095073_1997-01-19_final
1997-02-09 10:26:09	ga_ls5t_ard_3-0-0_107074_1997-02-09_final
1997-05-23 10:36:35	ga_ls5t_ard_3-0-0_108075_1997-05-23_final
1997-10-30 10:41:11	ga_ls5t_ard_3-0-0_108074_1997-10-30_final
1998-01-04 08:52:44	ga_ls5t_ard_3-0-0_090077_1998-01-03_final
1998-05-31 11:03:47	ga_ls5t_ard_3-0-0_111074_1998-05-31_final
1999-06-28 10:57:19	ga_ls5t_ard_3-0-0_110073_1999-06-28_final
2003-08-19 10:53:32	ga_ls5t_ard_3-0-0_109081_2003-08-19_final
2003-10-20 11:03:39	ga_ls5t_ard_3-0-0_111073_2003-10-20_final
2003-12-08 10:08:34	ga_ls5t_ard_3-0-0_102073_2003-12-08_final
2004-01-14 10:28:10	ga_ls5t_ard_3-0-0_105075_2004-01-14_final
2004-01-20 09:51:55	ga_ls5t_ard_3-0-0_099077_2004-01-20_final
2004-07-29 10:50:34	ga_ls5t_ard_3-0-0_108075_2004-07-29_final
2004-09-09 09:53:00	ga_ls5t_ard_3-0-0_098083_2004-09-09_final
2004-10-23 10:14:43	ga_ls5t_ard_3-0-0_102073_2004-10-23_final
2005-03-10 10:58:02	ga_ls5t_ard_3-0-0_108083_2005-03-10_final
2005-06-14 10:58:41	ga_ls5t_ard_3-0-0_108083_2005-06-14_final
2005-11-12 11:02:26	ga_ls5t_ard_3-0-0_109075_2005-11-12_final
2006-02-14 11:16:12	ga_ls5t_ard_3-0-0_111073_2006-02-14_final
2006-04-03 09:41:52	ga_ls5t_ard_3-0-0_095082_2006-04-03_final
2006-07-13 10:00:20	ga_ls5t_ard_3-0-0_098078_2006-07-13_final
2006-09-11 10:23:49	ga_ls5t_ard_3-0-0_102073_2006-09-11_final
2006-10-08 10:08:23	ga_ls5t_ard_3-0-0_099080_2006-10-08_final
2006-12-22 09:52:06	ga_ls5t_ard_3-0-0_096084_2006-12-22_final
2006-12-26 11:01:54	ga_ls5t_ard_3-0-0_108073_2006-12-26_final
2008-08-28 09:46:21	ga_ls5t_ard_3-0-0_097077_2008-08-28_final
2008-09-08 11:04:47	ga_ls5t_ard_3-0-0_110073_2008-09-08_final
2008-09-20 09:52:15	ga_ls5t_ard_3-0-0_098078_2008-09-20_final
2008-10-13 09:53:42	ga_ls5t_ard_3-0-0_099068_2008-10-13_final
2008-10-13 11:36:34	ga_ls5t_ard_3-0-0_115078_2008-10-13_final
2008-10-23 10:33:38	ga_ls5t_ard_3-0-0_105076_2008-10-23_final
2008-12-30 10:10:08	ga_ls5t_ard_3-0-0_101077_2008-12-30_final
2009-04-13 11:04:52	ga_ls5t_ard_3-0-0_109084_2009-04-13_final
2009-05-18 09:51:57	ga_ls5t_ard_3-0-0_098070_2009-05-18_final
2009-08-18 10:23:01	ga_ls5t_ard_3-0-0_102082_2009-08-18_final
2009-10-23 10:09:28	ga_ls5t_ard_3-0-0_100077_2009-10-23_final
2009-10-26 10:40:00	ga_ls5t_ard_3-0-0_105076_2009-10-26_final
2009-10-29 11:09:44	ga_ls5t_ard_3-0-0_110073_2009-10-29_final
2010-09-16 09:20:51	ga_ls5t_ard_3-0-0_092079_2010-09-15_final
2010-11-20 10:04:55	ga_ls5t_ard_3-0-0_099082_2010-11-20_final
2011-09-06 11:27:04	ga_ls5t_ard_3-0-0_113074_2011-09-06_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