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
1987-10-19 09:00:35	ga_ls5t_ard_3-0-0_092085_1987-10-18_final
1988-09-22 11:11:57	ga_ls5t_ard_3-1-0_113081_1988-09-22_final
1988-10-20 09:56:01	ga_ls5t_ard_3-0-0_101077_1988-10-20_final
1989-01-05 09:22:30	ga_ls5t_ard_3-0-0_096071_1989-01-04_final
1989-02-26 10:41:22	ga_ls5t_ard_3-0-0_108084_1989-02-26_final
1989-03-01 11:11:25	ga_ls5t_ard_3-0-0_113082_1989-03-01_final
1990-07-17 09:30:13	ga_ls5t_ard_3-0-0_098085_1990-07-17_final
1990-12-16 08:37:19	ga_ls5t_ard_3-0-0_090078_1990-12-15_final
1990-12-23 08:42:28	ga_ls5t_ard_3-1-0_091075_1990-12-22_final
1991-01-16 09:30:36	ga_ls5t_ard_3-0-0_099070_1991-01-16_final
1991-09-21 08:51:13	ga_ls5t_ard_3-0-0_091086_1991-09-20_final
1992-01-28 09:28:52	ga_ls5t_ard_3-0-0_098071_1992-01-27_final
1992-04-15 09:43:40	ga_ls5t_ard_3-0-0_100078_1992-04-15_final
1992-06-13 09:20:58	ga_ls5t_ard_3-0-0_097069_1992-06-12_final
1993-05-05 09:30:11	ga_ls5t_ard_3-1-0_098079_1993-05-05_final
1993-08-07 10:36:07	ga_ls5t_ard_3-0-0_109074_1993-08-07_final
1993-08-26 09:29:43	ga_ls5t_ard_3-0-0_098078_1993-08-25_final
1993-09-22 10:48:00	ga_ls5t_ard_3-0-0_111073_1993-09-22_final
1993-10-20 09:35:40	ga_ls5t_ard_3-0-0_099078_1993-10-20_final
1993-12-10 08:28:58	ga_ls5t_ard_3-1-0_088082_1993-12-09_final
1994-07-23 09:04:44	ga_ls5t_ard_3-0-0_095073_1994-07-22_final
1994-08-04 09:28:42	ga_ls5t_ard_3-0-0_099072_1994-08-03_final
1994-09-04 08:45:54	ga_ls5t_ard_3-0-0_092075_1994-09-03_final
1994-11-18 10:03:53	ga_ls5t_ard_3-0-0_105075_1994-11-18_final
1994-12-23 10:31:42	ga_ls5t_ard_3-0-0_110070_1994-12-23_final
1995-01-27 09:25:39	ga_ls5t_ard_3-0-0_099078_1995-01-26_final
1995-04-24 09:25:29	ga_ls5t_ard_3-0-0_100071_1995-04-23_final
1995-06-11 09:26:04	ga_ls5t_ard_3-0-0_100078_1995-06-10_final
1995-11-11 09:13:22	ga_ls5t_ard_3-0-0_099079_1995-11-10_final
1995-12-16 08:08:14	ga_ls5t_ard_3-0-0_088082_1995-12-15_final
1996-01-01 08:09:24	ga_ls5t_ard_3-0-0_088082_1995-12-31_final
1996-03-01 08:35:05	ga_ls5t_ard_3-1-0_092074_1996-02-29_final
1996-09-19 09:27:16	ga_ls5t_ard_3-0-0_098083_1996-09-18_final
1997-02-01 09:37:33	ga_ls5t_ard_3-0-0_099077_1997-02-01_final
1997-02-09 10:26:09	ga_ls5t_ard_3-0-0_107074_1997-02-09_final
1997-08-12 09:45:18	ga_ls5t_ard_3-0-0_099079_1997-08-12_final
1998-03-24 09:46:15	ga_ls5t_ard_3-0-0_099068_1998-03-24_final
1998-06-03 09:57:26	ga_ls5t_ard_3-0-0_100078_1998-06-03_final
1998-06-10 10:03:42	ga_ls5t_ard_3-0-0_101078_1998-06-10_final
1998-06-25 10:57:52	ga_ls5t_ard_3-1-0_110074_1998-06-25_final
1998-10-14 10:18:39	ga_ls5t_ard_3-0-0_103082_1998-10-14_final
1998-11-08 10:12:13	ga_ls5t_ard_3-0-0_102081_1998-11-08_final
1999-11-06 09:49:10	ga_ls5t_ard_3-0-0_099077_1999-11-06_final
2003-08-10 10:57:10	ga_ls5t_ard_3-0-0_110075_2003-08-10_final
2003-09-23 09:44:57	ga_ls5t_ard_3-0-0_098078_2003-09-23_final
2004-04-25 09:52:41	ga_ls5t_ard_3-0-0_099076_2004-04-25_final
2005-04-28 09:57:54	ga_ls5t_ard_3-0-0_099071_2005-04-28_final
2005-07-01 10:00:44	ga_ls5t_ard_3-0-0_099077_2005-07-01_final
2006-06-02 11:44:23	ga_ls5t_ard_3-0-0_115077_2006-06-02_final
2006-07-28 09:22:03	ga_ls5t_ard_3-0-0_091090_2006-07-27_final
2006-11-08 09:28:36	ga_ls5t_ard_3-0-0_092088_2006-11-07_final
2007-02-12 09:29:13	ga_ls5t_ard_3-0-0_092088_2007-02-11_final
2007-06-21 10:07:51	ga_ls5t_ard_3-0-0_099079_2007-06-21_final
2007-07-23 10:07:07	ga_ls5t_ard_3-0-0_099078_2007-07-23_final
2007-08-17 10:01:06	ga_ls5t_ard_3-0-0_098079_2007-08-17_final
2009-02-07 10:18:55	ga_ls5t_ard_3-0-0_102081_2009-02-07_final
2009-06-11 10:41:01	ga_ls5t_ard_3-0-0_106068_2009-06-11_final
2010-02-05 10:00:24	ga_ls5t_ard_3-0-0_099068_2010-02-05_final
2010-05-27 09:19:23	ga_ls5t_ard_3-1-0_092074_2010-05-26_final
2011-03-12 10:03:26	ga_ls5t_ard_3-0-0_099078_2011-03-12_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