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
1987-11-20 10:35:43	ga_ls5t_ard_3-0-0_108074_1987-11-20_final
1988-09-24 09:15:06	ga_ls5t_ard_3-0-0_095067_1988-09-23_final
1989-01-30 10:56:30	ga_ls5t_ard_3-0-0_111075_1989-01-30_final
1989-05-06 09:13:09	ga_ls5t_ard_3-0-0_095067_1989-05-05_final
1989-12-22 10:09:52	ga_ls5t_ard_3-0-0_105068_1989-12-22_final
1991-02-17 09:33:59	ga_ls5t_ard_3-0-0_099077_1991-02-17_final
1991-03-05 11:13:33	ga_ls5t_ard_3-0-0_115078_1991-03-05_final
1991-03-21 11:12:44	ga_ls5t_ard_3-0-0_115075_1991-03-21_final
1991-06-17 08:49:44	ga_ls5t_ard_3-0-0_091085_1991-06-16_final
1991-11-20 10:49:53	ga_ls5t_ard_3-0-0_111073_1991-11-20_final
1991-12-31 10:45:24	ga_ls5t_ard_3-0-0_110077_1991-12-31_final
1992-01-12 09:28:23	ga_ls5t_ard_3-0-0_098070_1992-01-11_final
1992-03-08 08:46:04	ga_ls5t_ard_3-0-0_090088_1992-03-07_final
1992-03-20 09:10:00	ga_ls5t_ard_3-0-0_094086_1992-03-19_final
1992-06-27 09:37:09	ga_ls5t_ard_3-0-0_099079_1992-06-27_final
1992-09-15 09:32:50	ga_ls5t_ard_3-0-0_099071_1992-09-15_final
1993-10-04 09:33:00	ga_ls5t_ard_3-0-0_099071_1993-10-04_final
1993-10-17 10:41:18	ga_ls5t_ard_3-0-0_110072_1993-10-17_final
1994-04-02 09:04:44	ga_ls5t_ard_3-0-0_095067_1994-04-01_final
1995-01-31 08:56:23	ga_ls5t_ard_3-0-0_095067_1995-01-30_final
1995-02-16 08:55:43	ga_ls5t_ard_3-0-0_095067_1995-02-15_final
1995-07-30 08:27:03	ga_ls5t_ard_3-1-0_091075_1995-07-29_final
1997-01-16 09:34:03	ga_ls5t_ard_3-0-0_099070_1997-01-16_final
1997-01-20 09:08:19	ga_ls5t_ard_3-0-0_095067_1997-01-19_final
1997-03-30 09:34:04	ga_ls5t_ard_3-0-0_098078_1997-03-30_final
1997-05-12 09:12:39	ga_ls5t_ard_3-0-0_095067_1997-05-11_final
1997-06-24 10:37:17	ga_ls5t_ard_3-0-0_108074_1997-06-24_final
1997-12-12 10:24:06	ga_ls5t_ard_3-0-0_105075_1997-12-12_final
1998-02-04 09:49:50	ga_ls5t_ard_3-0-0_099079_1998-02-04_final
1998-08-03 09:22:46	ga_ls5t_ard_3-0-0_095067_1998-08-02_final
1999-03-06 11:11:25	ga_ls5t_ard_3-0-0_112074_1999-03-06_final
1999-03-08 10:59:01	ga_ls5t_ard_3-0-0_110074_1999-03-08_final
1999-06-03 09:22:29	ga_ls5t_ard_3-0-0_095067_1999-06-02_final
1999-11-10 09:20:20	ga_ls5t_ard_3-0-0_095067_1999-11-09_final
2003-07-06 10:28:51	ga_ls5t_ard_3-1-0_105083_2003-07-06_final
2003-10-08 10:39:34	ga_ls5t_ard_3-0-0_107075_2003-10-08_final
2004-02-22 09:00:04	ga_ls5t_ard_3-0-0_090086_2004-02-21_final
2004-05-04 09:47:33	ga_ls5t_ard_3-0-0_098078_2004-05-04_final
2004-10-07 10:17:34	ga_ls5t_ard_3-0-0_102081_2004-10-07_final
2004-10-18 09:55:41	ga_ls5t_ard_3-0-0_099072_2004-10-18_final
2004-10-19 10:40:34	ga_ls5t_ard_3-0-0_106076_2004-10-19_final
2004-11-07 09:29:22	ga_ls5t_ard_3-0-0_095067_2004-11-06_final
2005-03-15 09:31:22	ga_ls5t_ard_3-0-0_095067_2005-03-15_final
2005-07-27 10:37:41	ga_ls5t_ard_3-0-0_105076_2005-07-27_final
2005-08-03 10:43:55	ga_ls5t_ard_3-0-0_106076_2005-08-03_final
2005-09-04 10:44:06	ga_ls5t_ard_3-0-0_106076_2005-09-04_final
2005-10-21 10:01:58	ga_ls5t_ard_3-0-0_099079_2005-10-21_final
2006-06-24 09:32:21	ga_ls5t_ard_3-0-0_093086_2006-06-24_final
2006-08-05 10:06:25	ga_ls5t_ard_3-0-0_099077_2006-08-05_final
2006-11-03 10:43:43	ga_ls5t_ard_3-0-0_105075_2006-11-03_final
2007-02-13 10:04:54	ga_ls5t_ard_3-0-0_099069_2007-02-13_final
2007-05-19 09:28:20	ga_ls5t_ard_3-0-0_092087_2007-05-18_final
2007-09-17 10:54:51	ga_ls5t_ard_3-0-0_107075_2007-09-17_final
2010-02-01 10:30:18	ga_ls5t_ard_3-0-0_103081_2010-02-01_final
2010-02-09 09:35:18	ga_ls5t_ard_3-0-0_095067_2010-02-09_final
2010-09-21 09:34:34	ga_ls5t_ard_3-0-0_095067_2010-09-21_final
2011-04-13 10:02:53	ga_ls5t_ard_3-0-0_099077_2011-04-13_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