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

45 results

Time (local)	Label
1987-10-27 09:48:56	ga_ls5t_ard_3-0-0_100082_1987-10-27_final
1988-03-04 10:31:34	ga_ls5t_ard_3-0-0_107075_1988-03-04_final
1988-06-08 08:56:36	ga_ls5t_ard_3-0-0_091083_1988-06-07_final
1988-06-17 08:50:05	ga_ls5t_ard_3-0-0_090082_1988-06-16_final
1988-06-27 09:23:37	ga_ls5t_ard_3-0-0_096073_1988-06-26_final
1988-07-13 11:02:57	ga_ls5t_ard_3-0-0_112074_1988-07-13_final
1988-08-13 10:20:06	ga_ls5t_ard_3-0-0_105075_1988-08-13_final
1988-08-19 11:21:33	ga_ls5t_ard_3-0-0_115074_1988-08-19_final
1988-12-09 09:41:33	ga_ls5t_ard_3-0-0_099072_1988-12-09_final
1989-09-03 10:01:22	ga_ls5t_ard_3-0-0_103070_1989-09-03_final
1990-07-14 10:34:38	ga_ls5t_ard_3-0-0_109076_1990-07-14_final
1990-09-09 10:27:47	ga_ls5t_ard_3-0-0_108075_1990-09-09_final
1990-11-11 09:42:35	ga_ls5t_ard_3-0-0_101071_1990-11-11_final
1991-09-11 09:49:44	ga_ls5t_ard_3-0-0_101078_1991-09-11_final
1992-03-26 10:04:30	ga_ls5t_ard_3-0-0_104068_1992-03-26_final
1992-04-06 09:50:42	ga_ls5t_ard_3-0-0_101080_1992-04-06_final
1992-05-02 10:25:10	ga_ls5t_ard_3-0-0_107074_1992-05-02_final
1992-07-05 10:26:05	ga_ls5t_ard_3-0-0_107078_1992-07-05_final
1993-09-26 10:24:04	ga_ls5t_ard_3-0-0_107075_1993-09-26_final
1994-01-28 10:46:56	ga_ls5t_ard_3-0-0_111073_1994-01-28_final
1994-09-14 09:21:08	ga_ls5t_ard_3-0-0_098071_1994-09-13_final
1994-09-21 09:27:31	ga_ls5t_ard_3-0-0_099072_1994-09-20_final
1994-12-12 10:55:48	ga_ls5t_ard_3-0-0_113083_1994-12-12_final
1995-06-21 08:23:26	ga_ls5t_ard_3-0-0_090077_1995-06-20_final
1996-04-21 09:09:13	ga_ls5t_ard_3-0-0_097074_1996-04-20_final
1996-06-03 10:32:03	ga_ls5t_ard_3-0-0_110074_1996-06-03_final
1996-06-06 09:25:26	ga_ls5t_ard_3-0-0_099077_1996-06-05_final
1996-07-25 08:37:11	ga_ls5t_ard_3-0-0_090089_1996-07-24_final
1996-07-26 10:55:48	ga_ls5t_ard_3-0-0_113080_1996-07-26_final
1996-08-25 09:32:03	ga_ls5t_ard_3-0-0_099083_1996-08-25_final
1996-11-08 10:56:19	ga_ls5t_ard_3-0-0_112083_1996-11-08_final
1997-01-04 09:10:22	ga_ls5t_ard_3-0-0_095074_1997-01-03_final
1997-09-10 09:18:04	ga_ls5t_ard_3-0-0_094086_1997-09-09_final
1998-05-01 09:17:12	ga_ls5t_ard_3-0-0_093087_1998-04-30_final
2003-08-30 08:58:19	ga_ls5t_ard_3-0-0_090086_2003-08-29_final
2005-04-20 09:14:48	ga_ls5t_ard_3-0-0_091087_2005-04-19_final
2005-08-23 10:18:56	ga_ls5t_ard_3-0-0_102075_2005-08-23_final
2006-04-22 10:11:05	ga_ls5t_ard_3-0-0_100077_2006-04-22_final
2007-09-05 10:32:12	ga_ls5t_ard_3-0-0_103080_2007-09-05_final
2009-01-09 10:46:16	ga_ls5t_ard_3-0-0_107074_2009-01-09_final
2009-02-17 09:19:46	ga_ls5t_ard_3-0-0_092087_2009-02-16_final
2009-07-15 10:29:16	ga_ls5t_ard_3-0-0_104068_2009-07-15_final
2009-11-30 11:10:47	ga_ls5t_ard_3-0-0_110075_2009-11-30_final
2010-01-28 10:55:48	ga_ls5t_ard_3-0-0_107083_2010-01-28_final
2010-11-18 10:13:41	ga_ls5t_ard_3-1-0_101073_2010-11-18_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