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

46 results

Time (local)	Label
1987-09-23 10:00:17	ga_ls5t_ard_3-0-0_102081_1987-09-23_final
1987-10-30 10:20:18	ga_ls5t_ard_3-1-0_105083_1987-10-30_final
1987-11-13 10:29:47	ga_ls5t_ard_3-0-0_107075_1987-11-13_final
1988-04-21 10:31:54	ga_ls5t_ard_3-0-0_107075_1988-04-21_final
1989-05-22 10:55:18	ga_ls5t_ard_3-0-0_111076_1989-05-22_final
1989-08-25 08:33:39	ga_ls5t_ard_3-0-0_088082_1989-08-24_final
1989-12-04 08:51:04	ga_ls5t_ard_3-0-0_091086_1989-12-03_final
1990-04-13 10:12:47	ga_ls5t_ard_3-1-0_105083_1990-04-13_final
1990-07-15 09:39:00	ga_ls5t_ard_3-0-0_100076_1990-07-15_final
1991-03-05 09:34:16	ga_ls5t_ard_3-0-0_099077_1991-03-05_final
1991-09-28 10:30:17	ga_ls5t_ard_3-0-0_108071_1991-09-28_final
1992-09-23 10:23:42	ga_ls5t_ard_3-0-0_107075_1992-09-23_final
1992-12-03 10:28:43	ga_ls5t_ard_3-0-0_108074_1992-12-03_final
1992-12-06 09:18:47	ga_ls5t_ard_3-1-0_097069_1992-12-05_final
1994-04-09 10:52:27	ga_ls5t_ard_3-0-0_112074_1994-04-09_final
1994-04-22 10:21:43	ga_ls5t_ard_3-0-0_107075_1994-04-22_final
1994-10-15 10:17:02	ga_ls5t_ard_3-0-0_107074_1994-10-15_final
1994-12-24 09:37:15	ga_ls5t_ard_3-0-0_101073_1994-12-24_final
1995-05-19 09:20:58	ga_ls5t_ard_3-0-0_099078_1995-05-18_final
1995-07-21 08:38:25	ga_ls5t_ard_3-0-0_092087_1995-07-20_final
1996-03-20 09:05:14	ga_ls5t_ard_3-1-0_097069_1996-03-19_final
1997-01-15 10:31:13	ga_ls5t_ard_3-0-0_108074_1997-01-15_final
1997-01-16 09:34:27	ga_ls5t_ard_3-0-0_099071_1997-01-16_final
1997-01-26 10:13:11	ga_ls5t_ard_3-0-0_105074_1997-01-26_final
1997-12-22 09:19:19	ga_ls5t_ard_3-0-0_095067_1997-12-21_final
1999-02-17 10:26:16	ga_ls5t_ard_3-0-0_105069_1999-02-17_final
2003-11-17 09:52:14	ga_ls5t_ard_3-0-0_099079_2003-11-17_final
2003-11-23 10:52:10	ga_ls5t_ard_3-0-0_109074_2003-11-23_final
2004-06-29 10:37:27	ga_ls5t_ard_3-0-0_106075_2004-06-29_final
2004-07-27 11:02:30	ga_ls5t_ard_3-1-0_110074_2004-07-27_final
2004-10-01 10:51:44	ga_ls5t_ard_3-0-0_108074_2004-10-01_final
2004-10-11 11:26:14	ga_ls5t_ard_3-0-0_114067_2004-10-11_final
2005-03-01 09:26:49	ga_ls5t_ard_3-0-0_093087_2005-02-28_final
2005-03-13 09:48:53	ga_ls5t_ard_3-0-0_097080_2005-03-13_final
2005-05-08 10:36:39	ga_ls5t_ard_3-0-0_105075_2005-05-08_final
2005-07-18 10:43:22	ga_ls5t_ard_3-0-0_106075_2005-07-18_final
2005-11-06 09:57:17	ga_ls5t_ard_3-0-0_099067_2005-11-06_final
2005-11-06 10:01:17	ga_ls5t_ard_3-0-0_099077_2005-11-06_final
2006-01-21 10:25:47	ga_ls5t_ard_3-0-0_103072_2006-01-21_final
2006-11-25 10:08:02	ga_ls5t_ard_3-0-0_099078_2006-11-25_final
2007-03-15 10:22:25	ga_ls5t_ard_3-0-0_101082_2007-03-15_final
2007-06-16 09:47:01	ga_ls5t_ard_3-0-0_096073_2007-06-16_final
2007-06-17 10:33:26	ga_ls5t_ard_3-0-0_103081_2007-06-17_final
2009-01-22 10:18:30	ga_ls5t_ard_3-0-0_102081_2009-01-22_final
2009-09-26 10:29:43	ga_ls5t_ard_3-0-0_103082_2009-09-26_final
2010-03-19 10:40:45	ga_ls5t_ard_3-0-0_105076_2010-03-19_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