Search ga_ls5t_ard_3 whole collection

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

60 results

Time (local)	Label
1987-12-06 09:01:51	ga_ls5t_ard_3-0-0_092086_1987-12-05_final
1988-01-11 08:36:07	ga_ls5t_ard_3-0-0_088082_1988-01-10_final
1988-04-23 08:41:53	ga_ls5t_ard_3-0-0_089078_1988-04-22_final
1988-06-16 09:44:30	ga_ls5t_ard_3-0-0_099079_1988-06-16_final
1988-09-06 09:29:10	ga_ls5t_ard_3-0-0_097071_1988-09-05_final
1988-10-22 09:43:40	ga_ls5t_ard_3-0-0_099077_1988-10-22_final
1988-11-30 09:47:29	ga_ls5t_ard_3-0-0_100071_1988-11-30_final
1990-03-18 09:31:36	ga_ls5t_ard_3-0-0_099072_1990-03-18_final
1990-05-29 08:48:39	ga_ls5t_ard_3-0-0_091089_1990-05-28_final
1990-08-08 08:53:50	ga_ls5t_ard_3-0-0_092087_1990-08-07_final
1991-09-25 10:03:46	ga_ls5t_ard_3-0-0_103082_1991-09-25_final
1992-06-27 09:37:09	ga_ls5t_ard_3-0-0_099079_1992-06-27_final
1993-06-05 09:39:28	ga_ls5t_ard_3-0-0_100071_1993-06-05_final
1993-08-19 11:04:25	ga_ls5t_ard_3-0-0_113083_1993-08-19_final
1994-02-21 10:00:23	ga_ls5t_ard_3-0-0_103081_1994-02-21_final
1994-03-26 10:43:33	ga_ls5t_ard_3-0-0_110082_1994-03-26_final
1994-06-08 09:37:59	ga_ls5t_ard_3-0-0_100076_1994-06-08_final
1994-07-12 11:05:15	ga_ls5t_ard_3-0-0_114080_1994-07-12_final
1994-08-29 09:23:56	ga_ls5t_ard_3-0-0_098077_1994-08-28_final
1995-02-15 09:51:47	ga_ls5t_ard_3-0-0_104068_1995-02-15_final
1995-06-10 10:21:20	ga_ls5t_ard_3-0-0_109077_1995-06-10_final
1995-06-21 08:23:26	ga_ls5t_ard_3-0-0_090077_1995-06-20_final
1995-12-26 10:22:09	ga_ls5t_ard_3-0-0_110075_1995-12-26_final
1996-02-08 09:08:17	ga_ls5t_ard_3-0-0_098068_1996-02-07_final
1996-05-06 08:32:50	ga_ls5t_ard_3-0-0_090089_1996-05-05_final
1997-01-16 09:37:38	ga_ls5t_ard_3-0-0_099079_1997-01-16_final
1997-06-13 10:55:51	ga_ls5t_ard_3-0-0_111075_1997-06-13_final
1998-03-08 09:46:48	ga_ls5t_ard_3-1-0_099070_1998-03-08_final
1998-04-13 11:00:15	ga_ls5t_ard_3-0-0_111067_1998-04-13_final
1998-05-22 11:09:48	ga_ls5t_ard_3-0-0_112074_1998-05-22_final
1998-10-14 10:18:39	ga_ls5t_ard_3-0-0_103082_1998-10-14_final
1998-12-09 09:26:58	ga_ls5t_ard_3-0-0_095076_1998-12-08_final
1999-05-14 09:47:39	ga_ls5t_ard_3-0-0_099067_1999-05-14_final
1999-08-08 10:51:48	ga_ls5t_ard_3-0-0_109075_1999-08-08_final
1999-08-18 11:29:10	ga_ls5t_ard_3-0-0_115076_1999-08-18_final
1999-10-29 08:59:37	ga_ls5t_ard_3-0-0_091076_1999-10-28_final
2004-02-04 10:46:24	ga_ls5t_ard_3-0-0_108074_2004-02-04_final
2005-02-19 10:26:04	ga_ls5t_ard_3-0-0_103081_2005-02-19_final
2005-02-23 09:57:01	ga_ls5t_ard_3-0-0_099070_2005-02-23_final
2005-02-27 09:36:45	ga_ls5t_ard_3-0-0_095081_2005-02-27_final
2005-04-19 10:06:50	ga_ls5t_ard_3-0-0_100078_2005-04-19_final
2005-06-23 09:16:04	ga_ls5t_ard_3-0-0_091089_2005-06-22_final
2006-01-29 09:34:33	ga_ls5t_ard_3-1-0_095067_2006-01-29_final
2006-02-03 09:54:48	ga_ls5t_ard_3-0-0_098071_2006-02-03_final
2006-02-23 11:11:00	ga_ls5t_ard_3-0-0_110075_2006-02-23_final
2006-12-16 10:23:09	ga_ls5t_ard_3-0-0_102069_2006-12-16_final
2007-01-17 10:28:09	ga_ls5t_ard_3-0-0_102081_2007-01-17_final
2007-01-20 09:18:12	ga_ls5t_ard_3-0-0_091076_2007-01-19_final
2007-09-25 10:06:56	ga_ls5t_ard_3-0-0_099079_2007-09-25_final
2009-01-06 10:14:05	ga_ls5t_ard_3-0-0_102071_2009-01-06_final
2009-01-16 09:18:55	ga_ls5t_ard_3-0-0_092087_2009-01-15_final
2009-01-23 09:23:42	ga_ls5t_ard_3-0-0_093083_2009-01-22_final
2009-02-16 10:11:22	ga_ls5t_ard_3-0-0_101077_2009-02-16_final
2009-02-28 10:32:48	ga_ls5t_ard_3-0-0_105068_2009-02-28_final
2009-11-03 09:52:37	ga_ls5t_ard_3-0-0_097081_2009-11-03_final
2009-11-13 10:29:47	ga_ls5t_ard_3-0-0_103081_2009-11-13_final
2010-05-03 10:07:43	ga_ls5t_ard_3-0-0_100071_2010-05-03_final
2010-05-27 09:19:23	ga_ls5t_ard_3-1-0_092074_2010-05-26_final
2010-11-24 11:15:30	ga_ls5t_ard_3-0-0_111073_2010-11-24_final
2011-05-29 10:14:59	ga_ls5t_ard_3-0-0_101077_2011-05-29_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

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