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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

61 results

Time (local)	Label
1987-05-23 08:36:08	ga_ls5t_ard_3-0-0_089079_1987-05-22_final
1987-11-10 09:59:38	ga_ls5t_ard_3-0-0_102077_1987-11-10_final
1988-01-08 11:20:56	ga_ls5t_ard_3-0-0_115077_1988-01-08_final
1988-02-14 10:03:16	ga_ls5t_ard_3-0-0_102082_1988-02-14_final
1988-08-03 11:21:56	ga_ls5t_ard_3-0-0_115075_1988-08-03_final
1988-08-10 09:49:36	ga_ls5t_ard_3-0-0_100076_1988-08-10_final
1988-08-16 10:51:01	ga_ls5t_ard_3-0-0_110075_1988-08-16_final
1988-11-27 09:17:48	ga_ls5t_ard_3-0-0_095074_1988-11-26_final
1989-02-24 10:53:21	ga_ls5t_ard_3-0-0_110083_1989-02-24_final
1989-05-07 10:01:59	ga_ls5t_ard_3-0-0_102081_1989-05-07_final
1989-07-04 09:01:04	ga_ls5t_ard_3-0-0_092086_1989-07-03_final
1989-09-02 10:58:37	ga_ls5t_ard_3-0-0_112074_1989-09-02_final
1990-05-15 08:33:59	ga_ls5t_ard_3-0-0_089083_1990-05-14_final
1990-08-20 09:17:19	ga_ls5t_ard_3-0-0_096084_1990-08-19_final
1990-10-22 10:06:09	ga_ls5t_ard_3-0-0_105068_1990-10-22_final
1990-12-15 09:29:19	ga_ls5t_ard_3-0-0_099069_1990-12-14_final
1991-03-01 09:55:17	ga_ls5t_ard_3-0-0_103068_1991-03-01_final
1991-08-12 11:14:43	ga_ls5t_ard_3-0-0_115075_1991-08-12_final
1991-10-24 09:29:52	ga_ls5t_ard_3-1-0_098074_1991-10-23_final
1991-11-15 08:58:27	ga_ls5t_ard_3-0-0_092088_1991-11-14_final
1992-02-04 11:16:41	ga_ls5t_ard_3-0-0_115078_1992-02-04_final
1992-03-21 09:47:15	ga_ls5t_ard_3-0-0_101071_1992-03-21_final
1992-04-15 09:40:53	ga_ls5t_ard_3-0-0_100071_1992-04-15_final
1992-07-17 09:10:35	ga_ls5t_ard_3-0-0_095075_1992-07-16_final
1992-09-02 08:29:01	ga_ls5t_ard_3-1-0_088081_1992-09-01_final
1992-09-09 08:34:19	ga_ls5t_ard_3-0-0_089079_1992-09-08_final
1992-11-15 10:41:20	ga_ls5t_ard_3-0-0_110075_1992-11-15_final
1993-03-11 10:17:44	ga_ls5t_ard_3-0-0_106075_1993-03-11_final
1993-04-24 09:08:13	ga_ls5t_ard_3-0-0_094086_1993-04-23_final
1994-01-24 09:35:36	ga_ls5t_ard_3-0-0_099080_1994-01-24_final
1994-06-07 10:31:38	ga_ls5t_ard_3-0-0_109071_1994-06-07_final
1994-07-12 09:22:47	ga_ls5t_ard_3-0-0_098071_1994-07-11_final
1994-08-20 09:28:20	ga_ls5t_ard_3-0-0_099072_1994-08-19_final
1995-02-18 09:30:06	ga_ls5t_ard_3-1-0_100076_1995-02-18_final
1995-06-22 10:44:20	ga_ls5t_ard_3-0-0_113074_1995-06-22_final
1995-12-13 09:11:12	ga_ls5t_ard_3-0-0_099070_1995-12-12_final
1996-04-23 09:01:46	ga_ls5t_ard_3-0-0_095086_1996-04-22_final
1996-06-02 09:50:44	ga_ls5t_ard_3-0-0_103079_1996-06-02_final
1996-08-31 08:56:31	ga_ls5t_ard_3-0-0_093086_1996-08-30_final
1998-07-13 09:07:17	ga_ls5t_ard_3-0-0_092075_1998-07-12_final
1998-10-12 10:25:26	ga_ls5t_ard_3-0-0_105068_1998-10-12_final
2003-09-08 08:52:17	ga_ls5t_ard_3-0-0_089086_2003-09-07_final
2003-10-26 10:27:26	ga_ls5t_ard_3-0-0_105075_2003-10-26_final
2003-11-05 11:06:30	ga_ls5t_ard_3-0-0_111080_2003-11-05_final
2003-12-07 11:04:12	ga_ls5t_ard_3-0-0_111073_2003-12-07_final
2004-07-02 11:11:38	ga_ls5t_ard_3-0-0_111083_2004-07-02_final
2004-07-23 09:47:03	ga_ls5t_ard_3-0-0_098071_2004-07-23_final
2004-11-27 10:45:28	ga_ls5t_ard_3-0-0_107071_2004-11-27_final
2005-05-28 10:14:29	ga_ls5t_ard_3-0-0_101081_2005-05-28_final
2005-07-25 09:11:08	ga_ls5t_ard_3-0-0_091076_2005-07-24_final
2006-01-25 11:42:51	ga_ls5t_ard_3-1-0_115079_2006-01-25_final
2006-11-25 10:04:50	ga_ls5t_ard_3-0-0_099070_2006-11-25_final
2006-12-16 10:22:45	ga_ls5t_ard_3-0-0_102068_2006-12-16_final
2006-12-21 09:08:02	ga_ls5t_ard_3-0-0_089082_2006-12-20_final
2007-08-20 10:29:10	ga_ls5t_ard_3-0-0_103072_2007-08-20_final
2008-03-19 10:00:40	ga_ls5t_ard_3-0-0_099071_2008-03-19_final
2009-09-02 09:36:23	ga_ls5t_ard_3-0-0_095073_2009-09-02_final
2009-09-07 09:59:23	ga_ls5t_ard_3-0-0_098084_2009-09-07_final
2010-01-21 10:43:36	ga_ls5t_ard_3-0-0_106068_2010-01-21_final
2010-10-28 09:59:57	ga_ls5t_ard_3-0-0_098085_2010-10-28_final
2010-11-22 11:29:51	ga_ls5t_ard_3-0-0_113078_2010-11-22_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