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

68 results

Time (local)	Label
1987-09-08 10:44:24	ga_ls5t_ard_3-0-0_109084_1987-09-08_final
1988-02-29 10:55:28	ga_ls5t_ard_3-0-0_111073_1988-02-29_final
1988-05-16 08:48:17	ga_ls5t_ard_3-0-0_090078_1988-05-15_final
1988-06-27 09:28:48	ga_ls5t_ard_3-0-0_096086_1988-06-26_final
1988-07-20 09:28:16	ga_ls5t_ard_3-0-0_097069_1988-07-19_final
1988-10-07 10:23:25	ga_ls5t_ard_3-0-0_106068_1988-10-07_final
1989-04-04 10:55:11	ga_ls5t_ard_3-0-0_111074_1989-04-04_final
1989-05-25 09:45:41	ga_ls5t_ard_3-0-0_100072_1989-05-25_final
1989-07-11 09:03:06	ga_ls5t_ard_3-0-0_093076_1989-07-10_final
1989-09-07 09:39:44	ga_ls5t_ard_3-1-0_099078_1989-09-07_final
1990-02-02 10:47:36	ga_ls5t_ard_3-0-0_111073_1990-02-02_final
1990-02-14 09:32:16	ga_ls5t_ard_3-0-0_099071_1990-02-14_final
1990-09-16 08:56:17	ga_ls5t_ard_3-0-0_093078_1990-09-15_final
1991-01-26 10:09:56	ga_ls5t_ard_3-0-0_105075_1991-01-26_final
1991-09-21 08:50:50	ga_ls5t_ard_3-0-0_091085_1991-09-20_final
1991-11-26 10:10:54	ga_ls5t_ard_3-0-0_105068_1991-11-26_final
1992-05-09 08:57:11	ga_ls5t_ard_3-0-0_092086_1992-05-08_final
1992-05-10 09:34:03	ga_ls5t_ard_3-0-0_099070_1992-05-10_final
1992-07-21 08:46:12	ga_ls5t_ard_3-0-0_091076_1992-07-20_final
1993-01-15 08:36:09	ga_ls5t_ard_3-0-0_089085_1993-01-14_final
1993-02-28 10:34:57	ga_ls5t_ard_3-0-0_109072_1993-02-28_final
1993-04-10 10:28:37	ga_ls5t_ard_3-0-0_108071_1993-04-10_final
1993-04-29 09:21:35	ga_ls5t_ard_3-0-0_097073_1993-04-28_final
1993-05-08 10:57:55	ga_ls5t_ard_3-0-0_112082_1993-05-08_final
1994-01-08 09:35:26	ga_ls5t_ard_3-0-0_099079_1994-01-08_final
1994-01-09 08:39:24	ga_ls5t_ard_3-0-0_090078_1994-01-08_final
1994-02-03 10:10:12	ga_ls5t_ard_3-0-0_105074_1994-02-03_final
1994-03-24 09:18:15	ga_ls5t_ard_3-0-0_096085_1994-03-23_final
1994-12-04 08:26:55	ga_ls5t_ard_3-0-0_089081_1994-12-03_final
1994-12-07 10:33:01	ga_ls5t_ard_3-0-0_110072_1994-12-07_final
1995-03-05 09:39:07	ga_ls5t_ard_3-0-0_102069_1995-03-05_final
1995-03-23 09:29:36	ga_ls5t_ard_3-0-0_100078_1995-03-22_final
1995-04-01 09:19:28	ga_ls5t_ard_3-0-0_099069_1995-03-31_final
1995-11-02 09:20:25	ga_ls5t_ard_3-0-0_100081_1995-11-01_final
1996-03-25 09:28:05	ga_ls5t_ard_3-0-0_100079_1996-03-24_final
1996-08-02 10:59:58	ga_ls5t_ard_3-0-0_114074_1996-08-02_final
1996-10-10 09:44:55	ga_ls5t_ard_3-0-0_101078_1996-10-10_final
1997-03-13 08:50:34	ga_ls5t_ard_3-0-0_091079_1997-03-12_final
1997-07-20 09:40:22	ga_ls5t_ard_3-0-0_098084_1997-07-20_final
1997-07-21 08:42:47	ga_ls5t_ard_3-0-0_089079_1997-07-20_final
1997-10-19 09:20:09	ga_ls5t_ard_3-0-0_095073_1997-10-18_final
1998-03-08 09:51:59	ga_ls5t_ard_3-0-0_099083_1998-03-08_final
1998-04-18 09:40:46	ga_ls5t_ard_3-0-0_098069_1998-04-18_final
1998-11-08 10:09:50	ga_ls5t_ard_3-0-0_102075_1998-11-08_final
1998-12-05 09:52:29	ga_ls5t_ard_3-0-0_099078_1998-12-05_final
1999-02-14 09:58:08	ga_ls5t_ard_3-0-0_100076_1999-02-14_final
1999-06-12 09:22:11	ga_ls5t_ard_3-0-0_094082_1999-06-11_final
1999-11-05 09:05:32	ga_ls5t_ard_3-0-0_092076_1999-11-04_final
2003-09-28 10:03:33	ga_ls5t_ard_3-0-0_101078_2003-09-28_final
2004-01-11 09:57:40	ga_ls5t_ard_3-0-0_100076_2004-01-11_final
2004-06-14 09:40:58	ga_ls5t_ard_3-0-0_097074_2004-06-14_final
2005-03-01 11:03:42	ga_ls5t_ard_3-0-0_109082_2005-03-01_final
2005-04-27 09:21:25	ga_ls5t_ard_3-0-0_092088_2005-04-26_final
2005-06-24 09:54:08	ga_ls5t_ard_3-0-0_098076_2005-06-24_final
2005-09-05 09:48:53	ga_ls5t_ard_3-0-0_097077_2005-09-05_final
2006-02-14 09:37:18	ga_ls5t_ard_3-0-0_095073_2006-02-14_final
2006-10-09 09:11:34	ga_ls5t_ard_3-0-0_090077_2006-10-08_final
2006-11-09 10:07:53	ga_ls5t_ard_3-0-0_099078_2006-11-09_final
2007-07-02 09:51:56	ga_ls5t_ard_3-0-0_096086_2007-07-02_final
2007-09-29 11:18:39	ga_ls5t_ard_3-0-0_111073_2007-09-29_final
2008-09-15 11:10:45	ga_ls5t_ard_3-0-0_111073_2008-09-15_final
2008-12-05 10:17:11	ga_ls5t_ard_3-0-0_102081_2008-12-05_final
2009-12-11 10:50:21	ga_ls5t_ard_3-0-0_107070_2009-12-11_final
2010-09-24 10:07:27	ga_ls5t_ard_3-0-0_100072_2010-09-24_final
2010-12-06 09:59:20	ga_ls5t_ard_3-0-0_099068_2010-12-06_final
2011-01-17 10:38:56	ga_ls5t_ard_3-0-0_105074_2011-01-17_final
2011-01-23 10:04:39	ga_ls5t_ard_3-0-0_099081_2011-01-23_final
2011-01-31 09:15:13	ga_ls5t_ard_3-0-0_091081_2011-01-30_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