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

49 results

Time (local)	Label
1987-11-29 10:32:28	ga_ls5t_ard_3-0-0_107081_1987-11-29_final
1988-08-29 08:42:07	ga_ls5t_ard_3-1-0_089077_1988-08-28_final
1989-01-30 10:56:30	ga_ls5t_ard_3-0-0_111075_1989-01-30_final
1989-06-04 10:26:13	ga_ls5t_ard_3-0-0_106081_1989-06-04_final
1989-08-05 08:55:37	ga_ls5t_ard_3-1-0_092074_1989-08-04_final
1989-08-25 08:32:50	ga_ls5t_ard_3-1-0_088080_1989-08-24_final
1989-12-03 09:40:44	ga_ls5t_ard_3-1-0_100071_1989-12-03_final
1990-07-25 10:18:02	ga_ls5t_ard_3-0-0_106081_1990-07-25_final
1990-12-21 10:33:16	ga_ls5t_ard_3-0-0_109074_1990-12-21_final
1991-05-07 08:50:58	ga_ls5t_ard_3-1-0_092074_1991-05-06_final
1991-11-08 10:28:19	ga_ls5t_ard_3-0-0_107081_1991-11-08_final
1993-01-22 08:40:48	ga_ls5t_ard_3-0-0_090081_1993-01-21_final
1993-02-26 09:13:34	ga_ls5t_ard_3-0-0_095085_1993-02-25_final
1993-03-10 09:36:04	ga_ls5t_ard_3-0-0_099079_1993-03-10_final
1993-06-15 10:20:30	ga_ls5t_ard_3-0-0_106081_1993-06-15_final
1993-07-01 08:41:30	ga_ls5t_ard_3-0-0_090081_1993-06-30_final
1994-02-24 10:27:14	ga_ls5t_ard_3-0-0_108071_1994-02-24_final
1994-05-01 10:17:46	ga_ls5t_ard_3-1-0_106081_1994-05-01_final
1994-05-20 10:49:32	ga_ls5t_ard_3-0-0_111084_1994-05-20_final
1995-01-17 08:48:34	ga_ls5t_ard_3-0-0_093077_1995-01-16_final
1995-06-06 10:47:26	ga_ls5t_ard_3-0-0_113080_1995-06-06_final
1995-09-25 09:59:26	ga_ls5t_ard_3-0-0_106081_1995-09-25_final
1997-03-06 10:23:47	ga_ls5t_ard_3-0-0_106081_1997-03-06_final
1997-10-23 09:01:31	ga_ls5t_ard_3-0-0_091088_1997-10-22_final
1997-11-01 10:31:40	ga_ls5t_ard_3-0-0_106081_1997-11-01_final
1998-06-29 10:36:01	ga_ls5t_ard_3-0-0_106081_1998-06-29_final
1999-02-18 09:36:14	ga_ls5t_ard_3-0-0_096083_1999-02-18_final
1999-06-10 09:36:08	ga_ls5t_ard_3-1-0_096086_1999-06-10_final
1999-08-21 10:20:43	ga_ls5t_ard_3-0-0_104075_1999-08-21_final
1999-10-26 10:09:41	ga_ls5t_ard_3-0-0_102081_1999-10-26_final
2003-09-22 10:41:45	ga_ls5t_ard_3-0-0_107081_2003-09-22_final
2003-10-24 10:42:10	ga_ls5t_ard_3-0-0_107081_2003-10-24_final
2004-01-12 10:42:55	ga_ls5t_ard_3-0-0_107081_2004-01-12_final
2004-05-11 09:53:56	ga_ls5t_ard_3-0-0_099078_2004-05-11_final
2004-08-23 10:47:22	ga_ls5t_ard_3-0-0_107081_2004-08-23_final
2004-10-10 10:48:32	ga_ls5t_ard_3-0-0_107081_2004-10-10_final
2004-11-11 10:49:10	ga_ls5t_ard_3-0-0_107081_2004-11-11_final
2004-12-29 10:50:03	ga_ls5t_ard_3-0-0_107081_2004-12-29_final
2005-02-15 10:50:43	ga_ls5t_ard_3-0-0_107081_2005-02-15_final
2005-07-09 10:51:49	ga_ls5t_ard_3-0-0_107081_2005-07-09_final
2006-04-03 09:43:04	ga_ls5t_ard_3-0-0_095085_2006-04-03_final
2006-09-26 09:40:20	ga_ls5t_ard_3-0-0_095072_2006-09-26_final
2007-01-06 10:44:38	ga_ls5t_ard_3-0-0_105076_2007-01-06_final
2007-06-15 10:43:51	ga_ls5t_ard_3-0-0_105076_2007-06-15_final
2007-06-20 11:04:41	ga_ls5t_ard_3-0-0_108082_2007-06-20_final
2007-06-29 09:19:27	ga_ls5t_ard_3-0-0_091082_2007-06-28_final
2008-01-15 10:01:52	ga_ls5t_ard_3-0-0_099071_2008-01-15_final
2008-04-14 10:39:10	ga_ls5t_ard_3-0-0_105076_2008-04-14_final
2009-01-21 09:32:01	ga_ls5t_ard_3-0-0_095073_2009-01-21_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