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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

42 results

Time (local)	Label
1987-09-10 10:28:29	ga_ls5t_ard_3-0-0_107075_1987-09-10_final
1988-02-17 10:31:24	ga_ls5t_ard_3-0-0_107075_1988-02-17_final
1988-04-29 09:43:18	ga_ls5t_ard_3-0-0_099077_1988-04-29_final
1988-06-08 08:59:24	ga_ls5t_ard_3-0-0_091090_1988-06-07_final
1988-09-20 11:22:44	ga_ls5t_ard_3-0-0_115077_1988-09-20_final
1989-01-02 10:32:05	ga_ls5t_ard_3-0-0_107075_1989-01-02_final
1989-05-26 10:30:08	ga_ls5t_ard_3-0-0_107075_1989-05-26_final
1989-06-27 10:29:30	ga_ls5t_ard_3-0-0_107075_1989-06-27_final
1989-08-07 08:48:00	ga_ls5t_ard_3-0-0_090086_1989-08-06_final
1990-05-13 10:22:01	ga_ls5t_ard_3-0-0_107075_1990-05-13_final
1990-08-17 10:21:43	ga_ls5t_ard_3-0-0_107075_1990-08-17_final
1990-09-02 10:21:36	ga_ls5t_ard_3-0-0_107075_1990-09-02_final
1990-11-04 09:38:44	ga_ls5t_ard_3-0-0_100077_1990-11-04_final
1991-07-27 11:15:28	ga_ls5t_ard_3-0-0_115077_1991-07-27_final
1991-10-23 10:25:54	ga_ls5t_ard_3-0-0_107075_1991-10-23_final
1991-12-07 09:53:21	ga_ls5t_ard_3-0-0_102070_1991-12-07_final
1992-07-21 10:24:41	ga_ls5t_ard_3-0-0_107075_1992-07-21_final
1992-11-11 09:28:25	ga_ls5t_ard_3-0-0_098078_1992-11-10_final
1994-04-23 09:27:40	ga_ls5t_ard_3-0-0_098079_1994-04-22_final
1994-08-28 10:18:47	ga_ls5t_ard_3-0-0_107075_1994-08-28_final
1995-01-03 10:14:47	ga_ls5t_ard_3-0-0_107075_1995-01-03_final
1995-03-10 08:26:57	ga_ls5t_ard_3-1-0_089090_1995-03-09_final
1995-03-23 09:29:36	ga_ls5t_ard_3-0-0_100078_1995-03-22_final
1995-09-24 09:15:26	ga_ls5t_ard_3-0-0_099079_1995-09-23_final
1996-03-01 08:39:52	ga_ls5t_ard_3-0-0_092086_1996-02-29_final
1996-10-15 08:26:25	ga_ls5t_ard_3-1-0_088082_1996-10-14_final
1996-12-31 09:34:06	ga_ls5t_ard_3-0-0_099072_1996-12-31_final
1997-12-18 09:45:33	ga_ls5t_ard_3-0-0_099071_1997-12-18_final
1998-01-10 09:54:40	ga_ls5t_ard_3-0-0_100077_1998-01-10_final
1998-01-12 09:39:10	ga_ls5t_ard_3-0-0_098069_1998-01-12_final
1998-07-30 09:51:52	ga_ls5t_ard_3-0-0_099078_1998-07-30_final
1998-12-12 09:58:15	ga_ls5t_ard_3-0-0_100077_1998-12-12_final
1999-06-19 09:22:20	ga_ls5t_ard_3-0-0_095067_1999-06-18_final
2003-10-07 09:57:29	ga_ls5t_ard_3-0-0_100078_2003-10-07_final
2004-05-02 09:59:51	ga_ls5t_ard_3-0-0_100078_2004-05-02_final
2004-12-12 10:03:20	ga_ls5t_ard_3-0-0_100073_2004-12-12_final
2005-04-13 10:42:41	ga_ls5t_ard_3-0-0_106075_2005-04-13_final
2006-10-01 10:01:20	ga_ls5t_ard_3-0-0_098078_2006-10-01_final
2006-11-25 10:08:02	ga_ls5t_ard_3-0-0_099078_2006-11-25_final
2009-06-10 10:01:44	ga_ls5t_ard_3-0-0_099078_2009-06-10_final
2009-10-23 10:09:28	ga_ls5t_ard_3-0-0_100077_2009-10-23_final
2010-01-20 10:00:44	ga_ls5t_ard_3-0-0_099069_2010-01-20_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