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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

53 results

Time (local)	Label
1987-09-03 08:47:38	ga_ls5t_ard_3-0-0_090086_1987-09-02_final
1987-10-13 09:36:46	ga_ls5t_ard_3-0-0_098083_1987-10-13_final
1988-04-19 09:04:58	ga_ls5t_ard_3-0-0_093074_1988-04-18_final
1988-08-23 10:57:39	ga_ls5t_ard_3-0-0_111076_1988-08-23_final
1988-09-12 08:58:50	ga_ls5t_ard_3-0-0_091088_1988-09-11_final
1988-09-17 10:51:02	ga_ls5t_ard_3-0-0_110075_1988-09-17_final
1989-01-02 08:58:24	ga_ls5t_ard_3-0-0_091088_1989-01-01_final
1989-01-07 09:16:07	ga_ls5t_ard_3-0-0_094086_1989-01-06_final
1989-01-30 09:16:49	ga_ls5t_ard_3-0-0_095073_1989-01-29_final
1989-01-30 10:58:53	ga_ls5t_ard_3-0-0_111081_1989-01-30_final
1989-02-08 09:15:49	ga_ls5t_ard_3-0-0_094086_1989-02-07_final
1989-08-11 09:57:40	ga_ls5t_ard_3-0-0_102075_1989-08-11_final
1989-12-09 09:09:26	ga_ls5t_ard_3-0-0_094086_1989-12-08_final
1990-04-22 08:27:23	ga_ls5t_ard_3-0-0_088082_1990-04-21_final
1991-04-23 10:19:12	ga_ls5t_ard_3-0-0_106079_1991-04-23_final
1991-07-31 10:53:09	ga_ls5t_ard_3-0-0_111083_1991-07-31_final
1992-01-29 10:14:56	ga_ls5t_ard_3-0-0_105078_1992-01-29_final
1992-02-12 10:24:18	ga_ls5t_ard_3-0-0_107071_1992-02-12_final
1992-06-26 10:32:47	ga_ls5t_ard_3-0-0_108079_1992-06-26_final
1992-12-13 09:25:25	ga_ls5t_ard_3-0-0_098070_1992-12-12_final
1993-01-30 11:03:38	ga_ls5t_ard_3-0-0_114067_1993-01-30_final
1993-02-25 10:02:24	ga_ls5t_ard_3-0-0_104068_1993-02-25_final
1993-03-29 10:05:24	ga_ls5t_ard_3-0-0_104075_1993-03-29_final
1993-06-20 09:01:44	ga_ls5t_ard_3-0-0_093085_1993-06-19_final
1993-06-22 08:48:57	ga_ls5t_ard_3-0-0_091084_1993-06-21_final
1994-09-23 09:15:54	ga_ls5t_ard_3-0-0_097074_1994-09-22_final
1995-05-11 08:35:53	ga_ls5t_ard_3-0-0_091088_1995-05-10_final
1996-05-21 09:20:56	ga_ls5t_ard_3-0-0_099068_1996-05-20_final
1996-05-22 08:32:34	ga_ls5t_ard_3-0-0_090086_1996-05-21_final
1997-05-23 10:38:58	ga_ls5t_ard_3-0-0_108081_1997-05-23_final
1997-12-15 10:57:28	ga_ls5t_ard_3-0-0_110081_1997-12-15_final
1998-11-02 10:49:38	ga_ls5t_ard_3-0-0_108082_1998-11-02_final
1998-11-24 10:12:41	ga_ls5t_ard_3-0-0_102082_1998-11-24_final
1999-05-16 09:39:38	ga_ls5t_ard_3-0-0_097078_1999-05-16_final
1999-08-30 10:16:42	ga_ls5t_ard_3-0-0_103081_1999-08-30_final
1999-10-19 10:02:27	ga_ls5t_ard_3-0-0_101078_1999-10-19_final
1999-11-06 09:45:34	ga_ls5t_ard_3-1-0_099068_1999-11-06_final
2003-09-08 10:27:11	ga_ls5t_ard_3-0-0_105076_2003-09-08_final
2003-11-05 11:08:06	ga_ls5t_ard_3-0-0_111084_2003-11-05_final
2004-06-25 11:02:02	ga_ls5t_ard_3-0-0_110075_2004-06-25_final
2005-06-27 10:25:51	ga_ls5t_ard_3-0-0_103078_2005-06-27_final
2005-10-19 10:12:43	ga_ls5t_ard_3-0-0_101075_2005-10-19_final
2007-01-06 09:06:57	ga_ls5t_ard_3-0-0_089079_2007-01-05_final
2007-02-08 09:52:44	ga_ls5t_ard_3-0-0_096085_2007-02-08_final
2007-06-29 09:21:50	ga_ls5t_ard_3-0-0_091088_2007-06-28_final
2007-09-19 10:42:52	ga_ls5t_ard_3-0-0_105076_2007-09-19_final
2008-10-28 09:17:54	ga_ls5t_ard_3-0-0_092088_2008-10-27_final
2009-12-03 10:00:50	ga_ls5t_ard_3-0-0_099070_2009-12-03_final
2010-02-23 11:29:23	ga_ls5t_ard_3-0-0_113074_2010-02-23_final
2010-03-18 09:54:18	ga_ls5t_ard_3-0-0_098068_2010-03-18_final
2010-12-22 10:04:11	ga_ls5t_ard_3-0-0_099080_2010-12-22_final
2011-03-10 10:17:48	ga_ls5t_ard_3-1-0_101083_2011-03-10_final
2011-09-19 10:54:48	ga_ls5t_ard_3-0-0_108071_2011-09-19_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