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

57 results

Time (local)	Label
1987-09-04 09:24:32	ga_ls5t_ard_3-0-0_097070_1987-09-03_final
1987-09-18 11:18:07	ga_ls5t_ard_3-0-0_115075_1987-09-18_final
1987-09-27 11:12:32	ga_ls5t_ard_3-0-0_114076_1987-09-27_final
1988-06-08 08:59:24	ga_ls5t_ard_3-0-0_091090_1988-06-07_final
1988-08-08 10:04:22	ga_ls5t_ard_3-0-0_102082_1988-08-08_final
1988-08-21 09:31:30	ga_ls5t_ard_3-0-0_097077_1988-08-21_final
1988-10-31 09:37:56	ga_ls5t_ard_3-0-0_098078_1988-10-31_final
1988-11-14 09:51:53	ga_ls5t_ard_3-0-0_100082_1988-11-14_final
1988-12-08 08:59:54	ga_ls5t_ard_3-0-0_092076_1988-12-07_final
1989-02-24 09:10:29	ga_ls5t_ard_3-0-0_094073_1989-02-23_final
1989-03-23 10:32:41	ga_ls5t_ard_3-0-0_107080_1989-03-23_final
1989-04-17 10:22:37	ga_ls5t_ard_3-0-0_106070_1989-04-17_final
1989-09-07 09:40:32	ga_ls5t_ard_3-0-0_099080_1989-09-07_final
1989-10-04 10:57:55	ga_ls5t_ard_3-0-0_112074_1989-10-04_final
1990-08-31 10:32:23	ga_ls5t_ard_3-0-0_109071_1990-08-31_final
1990-11-15 11:00:20	ga_ls5t_ard_3-0-0_113080_1990-11-15_final
1991-11-24 08:48:43	ga_ls5t_ard_3-0-0_091079_1991-11-23_final
1992-03-27 10:49:44	ga_ls5t_ard_3-0-0_111073_1992-03-27_final
1993-03-01 09:40:09	ga_ls5t_ard_3-0-0_100074_1993-03-01_final
1993-03-10 09:32:29	ga_ls5t_ard_3-0-0_099070_1993-03-10_final
1993-03-28 09:20:08	ga_ls5t_ard_3-0-0_097070_1993-03-27_final
1993-10-21 10:15:20	ga_ls5t_ard_3-0-0_106069_1993-10-21_final
1994-01-07 08:53:23	ga_ls5t_ard_3-0-0_092082_1994-01-06_final
1994-09-15 10:05:34	ga_ls5t_ard_3-0-0_105074_1994-09-15_final
1994-09-21 09:27:31	ga_ls5t_ard_3-0-0_099072_1994-09-20_final
1995-07-21 08:38:25	ga_ls5t_ard_3-0-0_092087_1995-07-20_final
1995-08-14 09:22:24	ga_ls5t_ard_3-0-0_100076_1995-08-13_final
1995-09-25 08:18:57	ga_ls5t_ard_3-0-0_090077_1995-09-24_final
1995-12-27 09:27:00	ga_ls5t_ard_3-0-0_101076_1995-12-26_final
1996-08-18 09:22:42	ga_ls5t_ard_3-0-0_098076_1996-08-17_final
1996-09-04 10:04:55	ga_ls5t_ard_3-0-0_105071_1996-09-04_final
1996-10-21 09:23:44	ga_ls5t_ard_3-0-0_098070_1996-10-20_final
1997-03-31 08:39:41	ga_ls5t_ard_3-0-0_089081_1997-03-30_final
1998-08-06 09:55:41	ga_ls5t_ard_3-0-0_100072_1998-08-06_final
1998-09-29 11:01:55	ga_ls5t_ard_3-0-0_110082_1998-09-29_final
1998-11-04 08:56:24	ga_ls5t_ard_3-0-0_090077_1998-11-03_final
1999-05-11 09:21:59	ga_ls5t_ard_3-0-0_094080_1999-05-10_final
1999-12-24 11:26:17	ga_ls5t_ard_3-0-0_115075_1999-12-24_final
2004-04-24 10:47:52	ga_ls5t_ard_3-0-0_108075_2004-04-24_final
2004-05-22 11:10:12	ga_ls5t_ard_3-1-0_112067_2004-05-22_final
2004-05-24 10:59:54	ga_ls5t_ard_3-0-0_110072_2004-05-24_final
2004-09-07 10:03:43	ga_ls5t_ard_3-0-0_100079_2004-09-07_final
2004-12-05 09:59:00	ga_ls5t_ard_3-0-0_099078_2004-12-05_final
2005-02-05 10:11:52	ga_ls5t_ard_3-0-0_101077_2005-02-05_final
2005-08-31 11:11:13	ga_ls5t_ard_3-0-0_110082_2005-08-31_final
2006-08-23 09:51:05	ga_ls5t_ard_3-0-0_097069_2006-08-23_final
2006-10-02 10:43:24	ga_ls5t_ard_3-0-0_105075_2006-10-02_final
2007-07-07 10:07:15	ga_ls5t_ard_3-0-0_099078_2007-07-07_final
2008-03-17 10:14:40	ga_ls5t_ard_3-0-0_101075_2008-03-17_final
2008-03-24 10:18:18	ga_ls5t_ard_3-0-0_102069_2008-03-24_final
2008-12-27 09:42:20	ga_ls5t_ard_3-0-0_096085_2008-12-27_final
2009-08-13 09:59:12	ga_ls5t_ard_3-0-0_099069_2009-08-13_final
2009-08-20 10:07:29	ga_ls5t_ard_3-0-0_100074_2009-08-20_final
2009-09-06 09:17:18	ga_ls5t_ard_3-0-0_091087_2009-09-05_final
2010-04-25 09:24:17	ga_ls5t_ard_3-0-0_092086_2010-04-24_final
2010-04-27 09:11:55	ga_ls5t_ard_3-0-0_090086_2010-04-26_final
2011-04-23 10:39:28	ga_ls5t_ard_3-0-0_105076_2011-04-23_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