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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

43 results

Time (local)	Label
1987-05-30 10:21:46	ga_ls5t_ard_3-0-0_106080_1987-05-30_final
1987-07-14 09:52:37	ga_ls5t_ard_3-0-0_101082_1987-07-14_final
1988-08-05 11:12:46	ga_ls5t_ard_3-0-0_113083_1988-08-05_final
1988-10-14 10:31:55	ga_ls5t_ard_3-0-0_107074_1988-10-14_final
1989-01-11 10:27:48	ga_ls5t_ard_3-0-0_106080_1989-01-11_final
1989-07-02 09:13:52	ga_ls5t_ard_3-0-0_094087_1989-07-01_final
1990-10-06 08:33:16	ga_ls5t_ard_3-0-0_089083_1990-10-05_final
1990-10-10 09:45:05	ga_ls5t_ard_3-0-0_101077_1990-10-10_final
1990-10-12 09:33:31	ga_ls5t_ard_3-0-0_099079_1990-10-12_final
1990-12-13 09:46:25	ga_ls5t_ard_3-0-0_101081_1990-12-13_final
1991-03-16 09:13:33	ga_ls5t_ard_3-0-0_096071_1991-03-15_final
1991-03-29 10:26:31	ga_ls5t_ard_3-0-0_107083_1991-03-29_final
1991-05-15 09:39:43	ga_ls5t_ard_3-0-0_100072_1991-05-15_final
1991-10-30 08:58:00	ga_ls5t_ard_3-0-0_092087_1991-10-29_final
1992-07-09 10:02:30	ga_ls5t_ard_3-0-0_103081_1992-07-09_final
1992-11-26 08:48:18	ga_ls5t_ard_3-0-0_091086_1992-11-25_final
1993-02-06 09:35:48	ga_ls5t_ard_3-0-0_099079_1993-02-06_final
1993-10-31 10:54:22	ga_ls5t_ard_3-0-0_112074_1993-10-31_final
1994-03-12 10:28:35	ga_ls5t_ard_3-0-0_108075_1994-03-12_final
1994-04-16 09:24:00	ga_ls5t_ard_3-0-0_097085_1994-04-15_final
1994-08-04 09:31:06	ga_ls5t_ard_3-0-0_099078_1994-08-04_final
1994-11-29 09:47:48	ga_ls5t_ard_3-0-0_102082_1994-11-29_final
1995-01-03 10:14:47	ga_ls5t_ard_3-0-0_107075_1995-01-03_final
1996-02-05 10:18:52	ga_ls5t_ard_3-0-0_109075_1996-02-05_final
1996-03-25 09:29:40	ga_ls5t_ard_3-0-0_100083_1996-03-24_final
1996-06-07 10:09:56	ga_ls5t_ard_3-0-0_106080_1996-06-07_final
1996-08-03 10:04:23	ga_ls5t_ard_3-0-0_105074_1996-08-03_final
1996-09-19 10:59:46	ga_ls5t_ard_3-0-0_114067_1996-09-19_final
1996-11-04 09:37:34	ga_ls5t_ard_3-0-0_100072_1996-11-04_final
1998-06-17 10:11:33	ga_ls5t_ard_3-0-0_102082_1998-06-17_final
1998-06-21 09:47:16	ga_ls5t_ard_3-0-0_098083_1998-06-21_final
1998-10-24 10:52:34	ga_ls5t_ard_3-0-0_109074_1998-10-24_final
2004-01-31 11:11:07	ga_ls5t_ard_3-0-0_112074_2004-01-31_final
2004-07-08 08:54:14	ga_ls5t_ard_3-0-0_089079_2004-07-07_final
2005-08-25 10:06:59	ga_ls5t_ard_3-0-0_100076_2005-08-25_final
2006-01-24 09:23:52	ga_ls5t_ard_3-0-0_092087_2006-01-23_final
2006-10-19 11:26:27	ga_ls5t_ard_3-0-0_112074_2006-10-19_final
2006-11-26 09:15:36	ga_ls5t_ard_3-0-0_090086_2006-11-25_final
2007-09-03 09:09:18	ga_ls5t_ard_3-0-0_089089_2007-09-02_final
2008-12-09 11:25:53	ga_ls5t_ard_3-1-0_114067_2008-12-09_final
2009-05-23 10:12:34	ga_ls5t_ard_3-0-0_101075_2009-05-23_final
2010-01-23 10:31:15	ga_ls5t_ard_3-0-0_104068_2010-01-23_final
2011-02-21 09:30:36	ga_ls5t_ard_3-1-0_094073_2011-02-21_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