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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
1986-08-21 09:41:08	ga_ls5t_ard_3-0-0_100078_1986-08-21_final
1987-12-02 09:20:56	ga_ls5t_ard_3-0-0_096072_1987-12-01_final
1987-12-11 10:54:09	ga_ls5t_ard_3-0-0_111073_1987-12-11_final
1988-04-29 09:43:42	ga_ls5t_ard_3-0-0_099078_1988-04-29_final
1989-08-06 09:40:51	ga_ls5t_ard_3-0-0_099079_1989-08-06_final
1989-10-09 09:39:00	ga_ls5t_ard_3-0-0_099078_1989-10-09_final
1990-05-29 08:48:39	ga_ls5t_ard_3-0-0_091089_1990-05-28_final
1990-12-09 08:31:00	ga_ls5t_ard_3-0-0_089078_1990-12-08_final
1991-08-07 09:20:53	ga_ls5t_ard_3-0-0_096084_1991-08-06_final
1991-08-19 09:43:15	ga_ls5t_ard_3-0-0_100078_1991-08-19_final
1991-08-21 09:30:31	ga_ls5t_ard_3-0-0_098077_1991-08-21_final
1991-10-11 10:03:30	ga_ls5t_ard_3-0-0_103081_1991-10-11_final
1991-11-06 10:41:29	ga_ls5t_ard_3-0-0_109083_1991-11-06_final
1992-05-29 10:09:35	ga_ls5t_ard_3-1-0_104082_1992-05-29_final
1992-07-29 09:35:56	ga_ls5t_ard_3-0-0_099077_1992-07-29_final
1993-01-31 08:34:44	ga_ls5t_ard_3-0-0_089081_1993-01-30_final
1994-04-14 09:33:12	ga_ls5t_ard_3-0-0_099077_1994-04-14_final
1994-04-30 11:11:01	ga_ls5t_ard_3-0-0_115075_1994-04-30_final
1994-06-20 08:25:57	ga_ls5t_ard_3-0-0_088082_1994-06-19_final
1994-11-14 10:27:33	ga_ls5t_ard_3-0-0_109072_1994-11-14_final
1995-01-31 09:03:58	ga_ls5t_ard_3-0-0_095086_1995-01-30_final
1995-04-21 10:34:23	ga_ls5t_ard_3-0-0_111073_1995-04-21_final
1995-05-25 10:20:54	ga_ls5t_ard_3-0-0_109074_1995-05-25_final
1995-06-11 09:26:28	ga_ls5t_ard_3-0-0_100079_1995-06-10_final
1995-06-13 09:10:50	ga_ls5t_ard_3-0-0_098071_1995-06-12_final
1995-10-14 08:46:51	ga_ls5t_ard_3-0-0_095072_1995-10-13_final
1997-07-28 08:48:23	ga_ls5t_ard_3-0-0_090077_1997-07-27_final
1998-04-21 10:11:18	ga_ls5t_ard_3-0-0_103068_1998-04-21_final
1998-08-22 09:58:15	ga_ls5t_ard_3-0-0_100078_1998-08-22_final
1998-12-29 10:40:28	ga_ls5t_ard_3-0-0_107074_1998-12-29_final
1999-02-09 09:41:08	ga_ls5t_ard_3-0-0_097080_1999-02-09_final
1999-06-15 09:51:29	ga_ls5t_ard_3-0-0_099078_1999-06-15_final
2003-12-28 09:43:16	ga_ls5t_ard_3-0-0_098071_2003-12-28_final
2004-03-13 10:07:57	ga_ls5t_ard_3-0-0_102070_2004-03-13_final
2004-04-09 09:53:24	ga_ls5t_ard_3-0-0_099079_2004-04-09_final
2004-04-30 10:08:09	ga_ls5t_ard_3-1-0_102068_2004-04-30_final
2004-08-03 09:35:06	ga_ls5t_ard_3-1-0_095087_2004-08-03_final
2005-05-02 09:34:00	ga_ls5t_ard_3-0-0_095073_2005-05-02_final
2006-04-24 09:59:10	ga_ls5t_ard_3-0-0_098078_2006-04-24_final
2008-12-09 09:48:35	ga_ls5t_ard_3-0-0_098071_2008-12-09_final
2009-05-13 09:39:18	ga_ls5t_ard_3-0-0_095085_2009-05-13_final
2009-08-23 09:01:09	ga_ls5t_ard_3-0-0_089078_2009-08-22_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