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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

63 results

Time (local)	Label
1987-11-09 09:12:21	ga_ls5t_ard_3-0-0_095067_1987-11-08_final
1988-05-17 09:33:57	ga_ls5t_ard_3-1-0_097084_1988-05-17_final
1988-08-13 10:19:43	ga_ls5t_ard_3-0-0_105074_1988-08-13_final
1988-09-22 11:12:21	ga_ls5t_ard_3-0-0_113082_1988-09-22_final
1988-12-12 10:12:01	ga_ls5t_ard_3-0-0_104071_1988-12-12_final
1989-03-19 09:13:28	ga_ls5t_ard_3-0-0_095067_1989-03-18_final
1989-04-23 09:48:11	ga_ls5t_ard_3-0-0_100077_1989-04-23_final
1989-06-28 09:31:28	ga_ls5t_ard_3-0-0_098069_1989-06-28_final
1989-07-31 08:40:47	ga_ls5t_ard_3-0-0_089083_1989-07-30_final
1989-12-20 08:51:24	ga_ls5t_ard_3-0-0_091088_1989-12-19_final
1990-05-13 08:47:32	ga_ls5t_ard_3-0-0_091086_1990-05-12_final
1990-07-17 11:06:42	ga_ls5t_ard_3-0-0_114079_1990-07-17_final
1990-11-27 09:42:47	ga_ls5t_ard_3-0-0_101072_1990-11-27_final
1990-11-27 09:45:11	ga_ls5t_ard_3-0-0_101078_1990-11-27_final
1991-03-05 09:31:04	ga_ls5t_ard_3-1-0_099069_1991-03-05_final
1991-06-03 10:12:08	ga_ls5t_ard_3-0-0_105075_1991-06-03_final
1991-08-21 09:30:31	ga_ls5t_ard_3-0-0_098077_1991-08-21_final
1991-09-21 08:51:13	ga_ls5t_ard_3-0-0_091086_1991-09-20_final
1992-01-07 10:47:33	ga_ls5t_ard_3-0-0_111067_1992-01-07_final
1992-03-30 09:40:59	ga_ls5t_ard_3-0-0_100071_1992-03-30_final
1992-04-16 10:25:20	ga_ls5t_ard_3-0-0_107074_1992-04-16_final
1992-06-16 09:56:36	ga_ls5t_ard_3-0-0_102081_1992-06-16_final
1992-10-16 08:55:45	ga_ls5t_ard_3-0-0_092088_1992-10-15_final
1993-09-06 09:06:46	ga_ls5t_ard_3-0-0_095067_1993-09-05_final
1994-01-31 09:40:55	ga_ls5t_ard_3-0-0_100078_1994-01-31_final
1996-02-15 09:18:32	ga_ls5t_ard_3-0-0_099077_1996-02-14_final
1996-05-11 10:24:34	ga_ls5t_ard_3-0-0_109074_1996-05-11_final
1996-06-10 10:38:13	ga_ls5t_ard_3-0-0_111073_1996-06-10_final
1996-08-25 09:32:03	ga_ls5t_ard_3-0-0_099083_1996-08-25_final
1996-11-26 10:41:12	ga_ls5t_ard_3-1-0_110074_1996-11-26_final
1996-12-19 09:06:48	ga_ls5t_ard_3-0-0_095067_1996-12-18_final
1997-01-22 10:36:56	ga_ls5t_ard_3-0-0_109072_1997-01-22_final
1997-04-01 11:02:40	ga_ls5t_ard_3-0-0_112083_1997-04-01_final
1997-09-01 10:57:41	ga_ls5t_ard_3-0-0_111073_1997-09-01_final
1997-12-11 09:39:13	ga_ls5t_ard_3-0-0_098071_1997-12-11_final
1998-03-16 09:00:17	ga_ls5t_ard_3-0-0_091077_1998-03-15_final
1998-07-24 08:50:50	ga_ls5t_ard_3-0-0_089080_1998-07-23_final
1998-09-15 09:13:00	ga_ls5t_ard_3-0-0_092088_1998-09-14_final
1998-09-20 11:04:53	ga_ls5t_ard_3-0-0_111074_1998-09-20_final
1998-11-07 11:04:38	ga_ls5t_ard_3-0-0_111073_1998-11-07_final
1999-04-18 10:53:16	ga_ls5t_ard_3-0-0_109076_1999-04-18_final
1999-04-24 10:12:58	ga_ls5t_ard_3-0-0_103068_1999-04-24_final
1999-11-22 09:46:33	ga_ls5t_ard_3-0-0_099072_1999-11-22_final
2004-09-16 09:56:58	ga_ls5t_ard_3-0-0_099077_2004-09-16_final
2004-11-18 10:53:01	ga_ls5t_ard_3-0-0_108075_2004-11-18_final
2004-12-30 11:32:08	ga_ls5t_ard_3-0-0_114078_2004-12-30_final
2005-01-14 09:14:33	ga_ls5t_ard_3-0-0_091089_2005-01-13_final
2005-06-10 09:38:06	ga_ls5t_ard_3-0-0_096067_2005-06-10_final
2005-09-07 09:32:32	ga_ls5t_ard_3-0-0_095067_2005-09-07_final
2006-08-14 10:03:09	ga_ls5t_ard_3-0-0_098084_2006-08-14_final
2007-01-02 11:07:20	ga_ls5t_ard_3-0-0_109071_2007-01-02_final
2007-02-26 09:36:00	ga_ls5t_ard_3-0-0_094074_2007-02-26_final
2007-04-22 09:39:09	ga_ls5t_ard_3-0-0_095067_2007-04-22_final
2007-06-29 09:19:51	ga_ls5t_ard_3-0-0_091083_2007-06-28_final
2007-09-01 09:21:40	ga_ls5t_ard_3-0-0_091089_2007-08-31_final
2008-10-17 09:28:26	ga_ls5t_ard_3-0-0_095067_2008-10-16_final
2008-11-15 10:39:15	ga_ls5t_ard_3-0-0_106076_2008-11-15_final
2008-12-09 09:48:35	ga_ls5t_ard_3-0-0_098071_2008-12-09_final
2009-01-21 09:29:38	ga_ls5t_ard_3-0-0_095067_2009-01-20_final
2009-01-24 10:02:36	ga_ls5t_ard_3-0-0_100072_2009-01-24_final
2009-05-29 09:32:24	ga_ls5t_ard_3-0-0_095067_2009-05-29_final
2009-07-27 09:17:42	ga_ls5t_ard_3-1-0_092074_2009-07-26_final
2009-10-10 10:39:51	ga_ls5t_ard_3-0-0_105076_2009-10-10_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