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
1987-09-09 09:46:00	ga_ls5t_ard_3-0-0_100077_1987-09-09_final
1987-09-25 09:46:22	ga_ls5t_ard_3-0-0_100077_1987-09-25_final
1987-12-04 09:14:11	ga_ls5t_ard_3-0-0_094086_1987-12-03_final
1988-05-08 09:40:27	ga_ls5t_ard_3-0-0_098085_1988-05-08_final
1989-01-25 10:37:30	ga_ls5t_ard_3-0-0_108074_1989-01-25_final
1989-08-21 10:34:31	ga_ls5t_ard_3-0-0_108075_1989-08-21_final
1989-09-18 10:58:04	ga_ls5t_ard_3-0-0_112074_1989-09-18_final
1990-03-10 10:22:29	ga_ls5t_ard_3-0-0_107075_1990-03-10_final
1990-04-07 09:04:30	ga_ls5t_ard_3-0-0_095067_1990-04-06_final
1990-06-07 08:41:16	ga_ls5t_ard_3-0-0_090086_1990-06-06_final
1990-07-28 09:04:28	ga_ls5t_ard_3-0-0_095067_1990-07-27_final
1991-01-17 10:15:05	ga_ls5t_ard_3-0-0_106073_1991-01-17_final
1991-05-15 09:41:42	ga_ls5t_ard_3-0-0_100077_1991-05-15_final
1991-06-19 08:35:02	ga_ls5t_ard_3-0-0_089079_1991-06-18_final
1991-08-05 09:30:26	ga_ls5t_ard_3-0-0_098077_1991-08-05_final
1991-10-19 09:08:34	ga_ls5t_ard_3-0-0_095067_1991-10-18_final
1992-06-05 10:12:54	ga_ls5t_ard_3-0-0_105075_1992-06-05_final
1992-08-06 10:24:29	ga_ls5t_ard_3-0-0_107075_1992-08-06_final
1992-10-19 09:20:14	ga_ls5t_ard_3-0-0_097072_1992-10-18_final
1993-04-15 10:48:01	ga_ls5t_ard_3-0-0_111073_1993-04-15_final
1993-04-25 09:49:53	ga_ls5t_ard_3-0-0_101082_1993-04-25_final
1993-06-22 10:24:15	ga_ls5t_ard_3-0-0_107075_1993-06-22_final
1993-08-06 09:56:02	ga_ls5t_ard_3-0-0_102082_1993-08-06_final
1994-03-24 09:12:40	ga_ls5t_ard_3-0-0_096071_1994-03-23_final
1994-04-18 09:04:25	ga_ls5t_ard_3-0-0_095067_1994-04-17_final
1994-05-04 09:04:08	ga_ls5t_ard_3-0-0_095067_1994-05-03_final
1994-12-14 10:40:34	ga_ls5t_ard_3-0-0_111076_1994-12-14_final
1995-06-17 08:49:55	ga_ls5t_ard_3-0-0_094081_1995-06-16_final
1996-07-16 08:37:18	ga_ls5t_ard_3-1-0_091075_1996-07-15_final
1997-02-17 11:16:20	ga_ls5t_ard_3-1-0_115075_1997-02-17_final
1997-02-18 10:19:57	ga_ls5t_ard_3-0-0_106073_1997-02-18_final
1998-04-13 09:21:22	ga_ls5t_ard_3-0-0_095067_1998-04-12_final
1998-08-28 10:58:32	ga_ls5t_ard_3-1-0_110074_1998-08-28_final
2003-06-21 11:12:12	ga_ls5t_ard_3-0-0_112084_2003-06-21_final
2003-07-06 10:25:40	ga_ls5t_ard_3-0-0_105075_2003-07-06_final
2003-07-25 10:56:29	ga_ls5t_ard_3-0-0_110074_2003-07-25_final
2004-04-27 09:41:58	ga_ls5t_ard_3-0-0_097080_2004-04-27_final
2004-05-30 10:21:24	ga_ls5t_ard_3-0-0_104068_2004-05-30_final
2004-09-24 09:09:19	ga_ls5t_ard_3-0-0_091081_2004-09-23_final
2005-07-09 09:15:44	ga_ls5t_ard_3-0-0_091088_2005-07-08_final
2006-05-30 11:12:37	ga_ls5t_ard_3-0-0_110075_2006-05-30_final
2006-08-29 09:21:16	ga_ls5t_ard_3-0-0_091087_2006-08-28_final
2007-06-28 10:13:05	ga_ls5t_ard_3-0-0_100077_2007-06-28_final
2008-11-15 09:03:09	ga_ls5t_ard_3-0-0_090083_2008-11-14_final
2009-03-22 09:57:49	ga_ls5t_ard_3-0-0_099072_2009-03-22_final
2011-03-10 10:17:48	ga_ls5t_ard_3-1-0_101083_2011-03-10_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