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

39 results

Time (local)	Label
1987-09-23 10:00:17	ga_ls5t_ard_3-0-0_102081_1987-09-23_final
1988-04-21 10:31:54	ga_ls5t_ard_3-0-0_107075_1988-04-21_final
1988-09-08 09:15:12	ga_ls5t_ard_3-0-0_095067_1988-09-07_final
1988-10-06 09:46:09	ga_ls5t_ard_3-0-0_099083_1988-10-06_final
1989-02-26 09:03:41	ga_ls5t_ard_3-0-0_092087_1989-02-25_final
1991-02-18 08:41:10	ga_ls5t_ard_3-0-0_090084_1991-02-17_final
1991-03-20 10:31:50	ga_ls5t_ard_3-0-0_108081_1991-03-20_final
1991-08-02 10:37:12	ga_ls5t_ard_3-0-0_109074_1991-08-02_final
1991-10-23 10:25:54	ga_ls5t_ard_3-0-0_107075_1991-10-23_final
1991-12-06 09:11:16	ga_ls5t_ard_3-0-0_095073_1991-12-05_final
1992-02-19 10:30:30	ga_ls5t_ard_3-0-0_108071_1992-02-19_final
1992-05-02 10:25:10	ga_ls5t_ard_3-0-0_107074_1992-05-02_final
1992-05-17 09:42:58	ga_ls5t_ard_3-0-0_100077_1992-05-17_final
1992-09-23 10:23:42	ga_ls5t_ard_3-0-0_107075_1992-09-23_final
1993-02-17 09:19:20	ga_ls5t_ard_3-0-0_096084_1993-02-16_final
1993-04-01 10:35:56	ga_ls5t_ard_3-0-0_109074_1993-04-01_final
1993-04-02 09:41:31	ga_ls5t_ard_3-0-0_100077_1993-04-02_final
1994-06-09 08:44:20	ga_ls5t_ard_3-0-0_091081_1994-06-08_final
1995-11-20 09:07:20	ga_ls5t_ard_3-0-0_098079_1995-11-19_final
1996-06-01 10:45:54	ga_ls5t_ard_3-0-0_112078_1996-06-01_final
1997-02-26 09:35:14	ga_ls5t_ard_3-0-0_098084_1997-02-26_final
1997-10-15 11:25:38	ga_ls5t_ard_3-0-0_115078_1997-10-15_final
1998-03-05 10:56:43	ga_ls5t_ard_3-0-0_110075_1998-03-05_final
1998-07-17 08:45:24	ga_ls5t_ard_3-0-0_088082_1998-07-16_final
1998-07-21 09:59:36	ga_ls5t_ard_3-0-0_100082_1998-07-21_final
1999-05-29 09:07:12	ga_ls5t_ard_3-0-0_092075_1999-05-28_final
1999-06-27 10:17:16	ga_ls5t_ard_3-0-0_103081_1999-06-27_final
2003-07-18 10:50:11	ga_ls5t_ard_3-0-0_109074_2003-07-18_final
2003-08-01 09:21:08	ga_ls5t_ard_3-0-0_095067_2003-07-31_final
2004-02-21 09:49:41	ga_ls5t_ard_3-0-0_099071_2004-02-21_final
2004-03-15 09:58:23	ga_ls5t_ard_3-0-0_100077_2004-03-15_final
2005-04-06 08:59:12	ga_ls5t_ard_3-0-0_089079_2005-04-05_final
2006-12-11 10:08:33	ga_ls5t_ard_3-0-0_099079_2006-12-11_final
2007-10-01 11:07:04	ga_ls5t_ard_3-0-0_109075_2007-10-01_final
2009-09-28 10:17:23	ga_ls5t_ard_3-0-0_101082_2009-09-28_final
2009-11-29 10:26:19	ga_ls5t_ard_3-0-0_103072_2009-11-29_final
2010-02-09 09:35:18	ga_ls5t_ard_3-0-0_095067_2010-02-09_final
2010-04-26 11:42:02	ga_ls5t_ard_3-0-0_115075_2010-04-26_final
2011-02-02 10:37:45	ga_ls5t_ard_3-0-0_105071_2011-02-02_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