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

47 results

Time (local)	Label
1987-10-31 10:57:12	ga_ls5t_ard_3-1-0_112067_1987-10-31_final
1987-11-29 10:29:17	ga_ls5t_ard_3-0-0_107073_1987-11-29_final
1988-02-29 09:14:11	ga_ls5t_ard_3-0-0_095067_1988-02-28_final
1988-08-04 08:48:13	ga_ls5t_ard_3-0-0_090077_1988-08-03_final
1988-11-13 09:09:49	ga_ls5t_ard_3-0-0_093085_1988-11-12_final
1988-11-21 09:56:04	ga_ls5t_ard_3-0-0_101077_1988-11-21_final
1989-07-26 10:00:25	ga_ls5t_ard_3-0-0_102081_1989-07-26_final
1989-10-08 08:54:11	ga_ls5t_ard_3-1-0_092074_1989-10-07_final
1991-06-03 10:15:20	ga_ls5t_ard_3-1-0_105083_1991-06-03_final
1991-07-24 10:47:20	ga_ls5t_ard_3-0-0_110084_1991-07-24_final
1992-06-22 09:13:52	ga_ls5t_ard_3-0-0_096067_1992-06-21_final
1992-11-11 09:28:49	ga_ls5t_ard_3-0-0_098079_1992-11-10_final
1992-12-30 10:14:01	ga_ls5t_ard_3-1-0_105083_1992-12-30_final
1995-03-23 09:29:11	ga_ls5t_ard_3-0-0_100077_1995-03-22_final
1995-04-30 08:50:32	ga_ls5t_ard_3-0-0_094077_1995-04-29_final
1996-06-21 08:46:58	ga_ls5t_ard_3-0-0_092087_1996-06-20_final
1997-03-20 10:33:54	ga_ls5t_ard_3-0-0_108074_1997-03-20_final
1998-01-25 10:50:36	ga_ls5t_ard_3-0-0_109077_1998-01-25_final
1998-06-18 10:51:14	ga_ls5t_ard_3-0-0_109073_1998-06-18_final
1998-07-18 11:07:09	ga_ls5t_ard_3-0-0_111081_1998-07-18_final
1999-02-01 10:31:16	ga_ls5t_ard_3-0-0_105082_1999-02-01_final
1999-02-13 09:14:52	ga_ls5t_ard_3-0-0_093076_1999-02-12_final
1999-07-09 10:41:31	ga_ls5t_ard_3-0-0_107080_1999-07-09_final
1999-10-20 10:44:06	ga_ls5t_ard_3-0-0_108074_1999-10-20_final
1999-11-22 09:48:57	ga_ls5t_ard_3-0-0_099078_1999-11-22_final
2003-06-30 09:23:45	ga_ls5t_ard_3-0-0_095075_2003-06-29_final
2003-07-20 09:04:58	ga_ls5t_ard_3-0-0_091089_2003-07-19_final
2003-09-18 09:21:57	ga_ls5t_ard_3-0-0_095067_2003-09-17_final
2003-12-20 08:56:32	ga_ls5t_ard_3-0-0_090078_2003-12-19_final
2004-08-30 10:50:57	ga_ls5t_ard_3-0-0_108074_2004-08-30_final
2004-10-29 09:41:21	ga_ls5t_ard_3-0-0_096082_2004-10-29_final
2004-11-07 09:29:22	ga_ls5t_ard_3-0-0_095067_2004-11-06_final
2004-12-12 10:03:44	ga_ls5t_ard_3-0-0_100074_2004-12-12_final
2004-12-25 09:30:15	ga_ls5t_ard_3-0-0_095067_2004-12-25_final
2005-02-15 10:48:19	ga_ls5t_ard_3-0-0_107075_2005-02-15_final
2005-03-01 09:26:49	ga_ls5t_ard_3-0-0_093087_2005-02-28_final
2005-07-25 10:49:37	ga_ls5t_ard_3-0-0_107075_2005-07-25_final
2005-08-02 10:01:27	ga_ls5t_ard_3-0-0_099078_2005-08-02_final
2006-03-02 11:20:55	ga_ls5t_ard_3-0-0_111084_2006-03-02_final
2006-05-05 09:36:23	ga_ls5t_ard_3-0-0_095067_2006-05-05_final
2006-05-17 10:05:39	ga_ls5t_ard_3-0-0_099078_2006-05-17_final
2008-01-26 09:47:53	ga_ls5t_ard_3-0-0_096083_2008-01-26_final
2008-12-16 09:54:11	ga_ls5t_ard_3-0-0_099069_2008-12-16_final
2008-12-16 11:37:03	ga_ls5t_ard_3-0-0_115079_2008-12-16_final
2008-12-20 11:07:40	ga_ls5t_ard_3-0-0_111067_2008-12-20_final
2009-03-01 11:20:52	ga_ls5t_ard_3-0-0_112080_2009-03-01_final
2009-09-23 09:57:59	ga_ls5t_ard_3-0-0_098080_2009-09-23_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