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

47 results

Time (local)	Label
1987-09-01 10:34:02	ga_ls5t_ard_3-0-0_108074_1987-09-01_final
1988-12-31 10:45:14	ga_ls5t_ard_3-0-0_109077_1988-12-31_final
1989-01-25 10:37:30	ga_ls5t_ard_3-0-0_108074_1989-01-25_final
1989-04-23 09:48:11	ga_ls5t_ard_3-0-0_100077_1989-04-23_final
1989-07-04 09:01:27	ga_ls5t_ard_3-0-0_092087_1989-07-03_final
1989-07-05 11:19:35	ga_ls5t_ard_3-0-0_115077_1989-07-05_final
1989-07-07 11:08:22	ga_ls5t_ard_3-0-0_113080_1989-07-07_final
1990-06-14 08:48:38	ga_ls5t_ard_3-0-0_091089_1990-06-13_final
1991-10-24 09:32:15	ga_ls5t_ard_3-0-0_098080_1991-10-24_final
1992-07-12 10:30:35	ga_ls5t_ard_3-0-0_108074_1992-07-12_final
1994-10-31 08:37:59	ga_ls5t_ard_3-1-0_091075_1994-10-30_final
1995-03-07 09:29:52	ga_ls5t_ard_3-1-0_100077_1995-03-06_final
1995-07-12 10:18:41	ga_ls5t_ard_3-0-0_109074_1995-07-12_final
1995-08-30 09:22:27	ga_ls5t_ard_3-0-0_100078_1995-08-29_final
1996-09-16 10:31:30	ga_ls5t_ard_3-0-0_109074_1996-09-16_final
1997-11-15 10:41:34	ga_ls5t_ard_3-0-0_108074_1997-11-15_final
1998-02-04 09:49:02	ga_ls5t_ard_3-0-0_099077_1998-02-04_final
1998-03-07 10:44:00	ga_ls5t_ard_3-0-0_108074_1998-03-07_final
1998-05-01 10:50:54	ga_ls5t_ard_3-0-0_109074_1998-05-01_final
1998-07-13 10:45:46	ga_ls5t_ard_3-0-0_108074_1998-07-13_final
1998-10-08 10:52:34	ga_ls5t_ard_3-0-0_109074_1998-10-08_final
1998-10-17 10:46:22	ga_ls5t_ard_3-0-0_108074_1998-10-17_final
1998-10-24 10:52:34	ga_ls5t_ard_3-0-0_109074_1998-10-24_final
1999-02-16 09:46:35	ga_ls5t_ard_3-0-0_098078_1999-02-16_final
1999-08-02 09:51:14	ga_ls5t_ard_3-0-0_099078_1999-08-02_final
1999-09-19 09:49:45	ga_ls5t_ard_3-0-0_099077_1999-09-19_final
1999-09-25 10:50:14	ga_ls5t_ard_3-0-0_109074_1999-09-25_final
1999-11-14 10:39:54	ga_ls5t_ard_3-0-0_107081_1999-11-14_final
2003-07-18 10:50:11	ga_ls5t_ard_3-0-0_109074_2003-07-18_final
2003-07-28 09:50:10	ga_ls5t_ard_3-0-0_099078_2003-07-28_final
2003-10-17 10:33:30	ga_ls5t_ard_3-0-0_106075_2003-10-17_final
2003-12-18 10:46:10	ga_ls5t_ard_3-0-0_108074_2003-12-18_final
2004-01-12 09:01:39	ga_ls5t_ard_3-1-0_091075_2004-01-11_final
2004-01-21 10:34:23	ga_ls5t_ard_3-0-0_106075_2004-01-21_final
2004-02-28 09:58:42	ga_ls5t_ard_3-0-0_100078_2004-02-28_final
2004-04-26 10:35:34	ga_ls5t_ard_3-0-0_106075_2004-04-26_final
2004-06-25 09:27:57	ga_ls5t_ard_3-0-0_094087_2004-06-24_final
2004-07-20 10:56:10	ga_ls5t_ard_3-0-0_109074_2004-07-20_final
2004-08-31 11:35:26	ga_ls5t_ard_3-0-0_115077_2004-08-31_final
2005-02-15 10:48:43	ga_ls5t_ard_3-0-0_107076_2005-02-15_final
2005-03-03 10:48:58	ga_ls5t_ard_3-0-0_107076_2005-03-03_final
2005-04-02 11:00:48	ga_ls5t_ard_3-0-0_109074_2005-04-02_final
2005-07-17 11:39:46	ga_ls5t_ard_3-0-0_115077_2005-07-17_final
2006-05-01 10:05:27	ga_ls5t_ard_3-0-0_099078_2006-05-01_final
2007-04-27 10:02:03	ga_ls5t_ard_3-0-0_098078_2007-04-27_final
2009-09-30 10:03:27	ga_ls5t_ard_3-0-0_099078_2009-09-30_final
2010-12-14 10:51:36	ga_ls5t_ard_3-0-0_107075_2010-12-14_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

All years