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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

44 results

Time (local)	Label
1988-07-30 10:05:23	ga_ls5t_ard_3-0-0_103069_1988-07-30_final
1989-01-23 09:15:46	ga_ls5t_ard_3-0-0_094086_1989-01-22_final
1989-02-20 09:34:54	ga_ls5t_ard_3-0-0_098072_1989-02-20_final
1989-03-14 10:39:18	ga_ls5t_ard_3-0-0_108080_1989-03-14_final
1990-07-19 10:55:55	ga_ls5t_ard_3-0-0_112083_1990-07-19_final
1990-10-30 09:19:01	ga_ls5t_ard_3-0-0_097074_1990-10-29_final
1991-02-12 09:14:31	ga_ls5t_ard_3-0-0_096075_1991-02-11_final
1991-03-16 09:13:33	ga_ls5t_ard_3-0-0_096071_1991-03-15_final
1992-04-16 08:47:15	ga_ls5t_ard_3-0-0_091076_1992-04-15_final
1992-05-05 10:57:14	ga_ls5t_ard_3-0-0_112077_1992-05-05_final
1992-05-27 08:41:05	ga_ls5t_ard_3-0-0_090077_1992-05-26_final
1992-07-05 10:26:05	ga_ls5t_ard_3-0-0_107078_1992-07-05_final
1992-07-14 10:19:24	ga_ls5t_ard_3-0-0_106077_1992-07-14_final
1992-10-01 09:34:52	ga_ls5t_ard_3-0-0_099077_1992-10-01_final
1992-12-14 10:07:54	ga_ls5t_ard_3-0-0_105068_1992-12-14_final
1993-02-22 09:35:53	ga_ls5t_ard_3-0-0_099079_1993-02-22_final
1993-03-07 09:07:08	ga_ls5t_ard_3-0-0_094084_1993-03-06_final
1993-06-20 08:54:33	ga_ls5t_ard_3-0-0_093067_1993-06-19_final
1993-09-19 10:15:07	ga_ls5t_ard_3-0-0_106068_1993-09-19_final
1993-11-14 11:08:10	ga_ls5t_ard_3-0-0_114078_1993-11-14_final
1994-08-24 09:03:55	ga_ls5t_ard_3-0-0_095073_1994-08-23_final
1995-01-10 08:43:02	ga_ls5t_ard_3-0-0_092078_1995-01-09_final
1995-05-04 08:27:14	ga_ls5t_ard_3-1-0_090081_1995-05-03_final
1995-07-10 08:52:40	ga_ls5t_ard_3-0-0_095075_1995-07-09_final
1995-08-06 10:10:12	ga_ls5t_ard_3-0-0_108071_1995-08-06_final
1996-06-06 09:25:02	ga_ls5t_ard_3-0-0_099076_1996-06-05_final
1996-11-02 09:53:26	ga_ls5t_ard_3-0-0_102081_1996-11-02_final
1997-04-03 09:12:41	ga_ls5t_ard_3-0-0_094086_1997-04-02_final
1997-07-06 11:05:12	ga_ls5t_ard_3-0-0_112081_1997-07-06_final
1997-09-26 10:51:26	ga_ls5t_ard_3-0-0_110071_1997-09-26_final
1997-10-12 10:53:27	ga_ls5t_ard_3-0-0_110075_1997-10-12_final
1998-07-24 08:50:50	ga_ls5t_ard_3-0-0_089080_1998-07-23_final
1999-05-15 10:33:17	ga_ls5t_ard_3-0-0_106073_1999-05-15_final
2003-05-20 11:07:35	ga_ls5t_ard_3-0-0_112074_2003-05-20_final
2003-11-11 10:27:34	ga_ls5t_ard_3-0-0_105075_2003-11-11_final
2005-02-21 10:13:44	ga_ls5t_ard_3-0-0_101081_2005-02-21_final
2005-03-10 10:58:02	ga_ls5t_ard_3-0-0_108083_2005-03-10_final
2005-04-30 09:51:09	ga_ls5t_ard_3-0-0_097085_2005-04-30_final
2005-08-28 09:01:00	ga_ls5t_ard_3-0-0_089081_2005-08-27_final
2005-09-01 10:15:59	ga_ls5t_ard_3-0-0_101083_2005-09-01_final
2006-06-11 09:56:40	ga_ls5t_ard_3-0-0_098070_2006-06-11_final
2006-07-11 10:10:40	ga_ls5t_ard_3-0-0_100073_2006-07-11_final
2007-05-20 11:45:40	ga_ls5t_ard_3-0-0_115075_2007-05-20_final
2007-07-30 10:10:26	ga_ls5t_ard_3-0-0_100071_2007-07-30_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