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
1987-10-20 09:37:52	ga_ls5t_ard_3-0-0_099070_1987-10-20_final
1987-12-02 09:25:43	ga_ls5t_ard_3-0-0_096084_1987-12-01_final
1988-03-24 10:04:15	ga_ls5t_ard_3-0-0_103068_1988-03-24_final
1989-03-11 10:04:55	ga_ls5t_ard_3-0-0_103071_1989-03-11_final
1989-06-18 10:34:59	ga_ls5t_ard_3-0-0_108073_1989-06-18_final
1991-05-31 09:43:58	ga_ls5t_ard_3-0-0_100082_1991-05-31_final
1991-10-19 09:10:58	ga_ls5t_ard_3-0-0_095073_1991-10-18_final
1992-01-02 08:53:19	ga_ls5t_ard_3-0-0_092075_1992-01-01_final
1992-01-29 10:13:20	ga_ls5t_ard_3-0-0_105074_1992-01-29_final
1992-03-08 08:44:28	ga_ls5t_ard_3-0-0_090084_1992-03-07_final
1993-05-12 08:56:19	ga_ls5t_ard_3-0-0_092087_1993-05-11_final
1993-07-23 09:39:42	ga_ls5t_ard_3-0-0_100072_1993-07-23_final
1993-12-02 09:20:03	ga_ls5t_ard_3-0-0_096086_1993-12-01_final
1994-08-23 09:59:58	ga_ls5t_ard_3-0-0_104074_1994-08-23_final
1994-10-09 10:58:18	ga_ls5t_ard_3-1-0_113084_1994-10-09_final
1995-03-10 09:59:27	ga_ls5t_ard_3-0-0_105074_1995-03-10_final
1995-06-11 09:23:41	ga_ls5t_ard_3-0-0_100072_1995-06-10_final
1995-08-24 08:24:08	ga_ls5t_ard_3-0-0_090086_1995-08-23_final
1995-12-04 09:19:06	ga_ls5t_ard_3-0-0_100076_1995-12-03_final
1996-08-15 08:55:38	ga_ls5t_ard_3-0-0_093086_1996-08-14_final
1997-01-09 11:08:02	ga_ls5t_ard_3-0-0_114074_1997-01-09_final
1997-02-17 09:39:03	ga_ls5t_ard_3-0-0_099079_1997-02-17_final
1997-09-30 08:53:55	ga_ls5t_ard_3-0-0_090086_1997-09-29_final
1998-01-22 10:18:02	ga_ls5t_ard_3-1-0_104073_1998-01-22_final
1998-04-18 11:24:02	ga_ls5t_ard_3-0-0_114080_1998-04-18_final
1998-06-13 10:31:03	ga_ls5t_ard_3-0-0_106069_1998-06-13_final
1998-07-12 10:03:42	ga_ls5t_ard_3-0-0_101077_1998-07-12_final
1999-02-28 10:08:05	ga_ls5t_ard_3-0-0_102070_1999-02-28_final
1999-03-21 10:25:56	ga_ls5t_ard_3-0-0_105069_1999-03-21_final
1999-06-22 09:57:36	ga_ls5t_ard_3-0-0_100078_1999-06-22_final
2004-01-19 10:46:20	ga_ls5t_ard_3-0-0_108074_2004-01-19_final
2005-05-24 10:36:46	ga_ls5t_ard_3-0-0_105075_2005-05-24_final
2005-07-29 10:22:09	ga_ls5t_ard_3-0-0_103068_2005-07-29_final
2005-09-20 10:46:54	ga_ls5t_ard_3-0-0_106083_2005-09-20_final
2006-01-22 11:13:52	ga_ls5t_ard_3-0-0_110084_2006-01-22_final
2006-10-30 09:29:31	ga_ls5t_ard_3-0-0_093075_2006-10-29_final
2007-08-20 10:33:10	ga_ls5t_ard_3-0-0_103082_2007-08-20_final
2007-09-17 10:58:02	ga_ls5t_ard_3-0-0_107083_2007-09-17_final
2008-02-28 10:26:12	ga_ls5t_ard_3-0-0_103072_2008-02-28_final
2008-10-13 11:35:22	ga_ls5t_ard_3-0-0_115075_2008-10-13_final
2009-02-25 10:06:13	ga_ls5t_ard_3-0-0_100079_2009-02-25_final
2009-03-01 11:20:28	ga_ls5t_ard_3-0-0_112079_2009-03-01_final
2009-11-29 10:26:19	ga_ls5t_ard_3-0-0_103072_2009-11-29_final
2011-02-09 10:43:57	ga_ls5t_ard_3-0-0_106071_2011-02-09_final
2011-04-19 11:03:26	ga_ls5t_ard_3-0-0_109074_2011-04-19_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