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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

52 results

Time (local)	Label
1987-09-18 09:40:50	ga_ls5t_ard_3-0-0_099079_1987-09-18_final
1987-12-20 10:48:07	ga_ls5t_ard_3-0-0_110073_1987-12-20_final
1988-02-11 11:10:48	ga_ls5t_ard_3-0-0_113081_1988-02-11_final
1988-03-21 09:34:07	ga_ls5t_ard_3-0-0_098070_1988-03-21_final
1988-07-03 08:52:57	ga_ls5t_ard_3-0-0_090089_1988-07-02_final
1988-07-19 08:48:12	ga_ls5t_ard_3-0-0_090077_1988-07-18_final
1988-10-23 08:52:50	ga_ls5t_ard_3-0-0_090089_1988-10-22_final
1988-11-07 09:40:32	ga_ls5t_ard_3-0-0_099069_1988-11-07_final
1989-02-24 10:48:58	ga_ls5t_ard_3-0-0_110072_1989-02-24_final
1989-05-02 09:39:31	ga_ls5t_ard_3-0-0_099071_1989-05-02_final
1990-08-27 09:17:28	ga_ls5t_ard_3-0-0_097069_1990-08-26_final
1991-07-26 08:52:07	ga_ls5t_ard_3-1-0_092074_1991-07-25_final
1991-11-20 09:14:35	ga_ls5t_ard_3-0-0_095082_1991-11-19_final
1992-01-22 08:31:24	ga_ls5t_ard_3-0-0_088082_1992-01-21_final
1992-04-22 09:49:22	ga_ls5t_ard_3-0-0_101077_1992-04-22_final
1992-08-15 10:16:09	ga_ls5t_ard_3-0-0_106070_1992-08-15_final
1992-08-28 09:49:50	ga_ls5t_ard_3-0-0_101082_1992-08-28_final
1993-01-09 10:47:15	ga_ls5t_ard_3-0-0_111073_1993-01-09_final
1993-06-16 09:24:05	ga_ls5t_ard_3-0-0_097079_1993-06-15_final
1993-10-31 10:57:09	ga_ls5t_ard_3-0-0_112081_1993-10-31_final
1994-04-14 09:33:36	ga_ls5t_ard_3-0-0_099078_1994-04-14_final
1994-11-01 09:22:25	ga_ls5t_ard_3-0-0_098078_1994-10-31_final
1994-12-10 09:26:56	ga_ls5t_ard_3-0-0_099077_1994-12-09_final
1995-05-29 08:19:06	ga_ls5t_ard_3-0-0_089079_1995-05-28_final
1995-09-18 08:13:56	ga_ls5t_ard_3-0-0_089079_1995-09-17_final
1995-12-24 10:31:10	ga_ls5t_ard_3-1-0_112067_1995-12-24_final
1996-03-01 08:35:05	ga_ls5t_ard_3-1-0_092074_1996-02-29_final
1996-05-20 08:45:12	ga_ls5t_ard_3-0-0_092087_1996-05-19_final
1996-11-26 09:07:06	ga_ls5t_ard_3-0-0_094086_1996-11-25_final
1997-09-29 09:46:43	ga_ls5t_ard_3-0-0_099079_1997-09-29_final
1997-11-15 10:45:33	ga_ls5t_ard_3-0-0_108084_1997-11-15_final
1998-03-08 09:47:36	ga_ls5t_ard_3-0-0_099072_1998-03-08_final
2003-09-18 11:07:13	ga_ls5t_ard_3-0-0_111083_2003-09-18_final
2003-10-23 09:59:42	ga_ls5t_ard_3-0-0_100083_2003-10-23_final
2004-10-01 10:50:08	ga_ls5t_ard_3-0-0_108070_2004-10-01_final
2005-03-31 11:12:45	ga_ls5t_ard_3-0-0_111073_2005-03-31_final
2005-07-05 11:13:19	ga_ls5t_ard_3-0-0_111073_2005-07-05_final
2005-11-24 09:46:34	ga_ls5t_ard_3-0-0_097070_2005-11-24_final
2006-04-30 09:21:22	ga_ls5t_ard_3-0-0_092076_2006-04-29_final
2006-07-30 10:43:01	ga_ls5t_ard_3-0-0_105076_2006-07-30_final
2006-09-06 10:06:49	ga_ls5t_ard_3-0-0_099077_2006-09-06_final
2006-09-23 10:46:41	ga_ls5t_ard_3-0-0_106068_2006-09-23_final
2006-12-27 10:08:41	ga_ls5t_ard_3-0-0_099079_2006-12-27_final
2007-01-03 10:11:43	ga_ls5t_ard_3-0-0_100071_2007-01-03_final
2007-04-29 09:52:28	ga_ls5t_ard_3-0-0_096085_2007-04-29_final
2007-05-29 09:58:29	ga_ls5t_ard_3-0-0_098070_2007-05-29_final
2007-08-07 09:27:43	ga_ls5t_ard_3-0-0_092088_2007-08-06_final
2009-03-30 09:09:45	ga_ls5t_ard_3-1-0_091075_2009-03-29_final
2010-03-25 10:04:28	ga_ls5t_ard_3-0-0_099078_2010-03-25_final
2010-04-10 10:01:38	ga_ls5t_ard_3-0-0_099071_2010-04-10_final
2010-11-24 11:15:30	ga_ls5t_ard_3-0-0_111073_2010-11-24_final
2011-06-16 10:02:27	ga_ls5t_ard_3-0-0_099077_2011-06-16_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