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

42 results

Time (local)	Label
1987-09-28 10:19:20	ga_ls5t_ard_3-0-0_105082_1987-09-28_final
1988-01-24 09:40:21	ga_ls5t_ard_3-0-0_099072_1988-01-24_final
1988-05-29 09:56:21	ga_ls5t_ard_3-0-0_101078_1988-05-29_final
1988-08-29 08:46:54	ga_ls5t_ard_3-1-0_089089_1988-08-28_final
1988-10-14 10:31:55	ga_ls5t_ard_3-0-0_107074_1988-10-14_final
1988-10-15 09:34:42	ga_ls5t_ard_3-0-0_098070_1988-10-15_final
1989-07-20 09:00:43	ga_ls5t_ard_3-0-0_092086_1989-07-19_final
1989-07-21 09:40:22	ga_ls5t_ard_3-0-0_099077_1989-07-21_final
1989-11-04 08:37:59	ga_ls5t_ard_3-0-0_089082_1989-11-03_final
1990-03-18 09:34:23	ga_ls5t_ard_3-0-0_099079_1990-03-18_final
1990-04-14 10:56:28	ga_ls5t_ard_3-0-0_112084_1990-04-14_final
1990-05-23 09:17:47	ga_ls5t_ard_3-1-0_097069_1990-05-22_final
1991-01-22 10:37:21	ga_ls5t_ard_3-0-0_109082_1991-01-22_final
1991-03-18 10:45:21	ga_ls5t_ard_3-0-0_110084_1991-03-18_final
1991-03-21 11:12:44	ga_ls5t_ard_3-0-0_115075_1991-03-21_final
1991-11-01 10:17:18	ga_ls5t_ard_3-0-0_106069_1991-11-01_final
1992-10-10 09:28:52	ga_ls5t_ard_3-0-0_098078_1992-10-09_final
1993-01-22 10:14:30	ga_ls5t_ard_3-0-0_106068_1993-01-22_final
1993-03-08 09:47:37	ga_ls5t_ard_3-0-0_101077_1993-03-08_final
1993-05-20 09:40:36	ga_ls5t_ard_3-0-0_100074_1993-05-20_final
1995-01-27 11:04:32	ga_ls5t_ard_3-0-0_115078_1995-01-27_final
1995-06-21 08:23:26	ga_ls5t_ard_3-0-0_090077_1995-06-20_final
1995-11-11 09:12:58	ga_ls5t_ard_3-0-0_099078_1995-11-10_final
1995-12-29 09:11:35	ga_ls5t_ard_3-0-0_099068_1995-12-28_final
1996-03-06 10:30:03	ga_ls5t_ard_3-0-0_111067_1996-03-06_final
1996-06-28 08:53:07	ga_ls5t_ard_3-0-0_093086_1996-06-27_final
1996-09-26 11:10:43	ga_ls5t_ard_3-0-0_115078_1996-09-26_final
1997-01-18 09:22:11	ga_ls5t_ard_3-0-0_097071_1997-01-17_final
1997-11-05 10:07:03	ga_ls5t_ard_3-0-0_102081_1997-11-05_final
1998-08-06 09:57:40	ga_ls5t_ard_3-0-0_100077_1998-08-06_final
1999-02-20 09:24:16	ga_ls5t_ard_3-0-0_094084_1999-02-19_final
2003-11-06 10:11:18	ga_ls5t_ard_3-0-0_102081_2003-11-06_final
2003-12-03 09:51:38	ga_ls5t_ard_3-0-0_099077_2003-12-03_final
2004-11-18 10:52:37	ga_ls5t_ard_3-0-0_108074_2004-11-18_final
2004-12-21 09:58:54	ga_ls5t_ard_3-0-0_099077_2004-12-21_final
2004-12-22 10:42:10	ga_ls5t_ard_3-0-0_106077_2004-12-22_final
2005-01-05 10:52:20	ga_ls5t_ard_3-0-0_108071_2005-01-05_final
2005-07-11 09:01:00	ga_ls5t_ard_3-0-0_089082_2005-07-10_final
2006-04-10 11:23:52	ga_ls5t_ard_3-0-0_112074_2006-04-10_final
2008-12-24 10:49:26	ga_ls5t_ard_3-0-0_107083_2008-12-24_final
2010-11-02 10:15:19	ga_ls5t_ard_3-0-0_101077_2010-11-02_final
2011-01-12 10:23:11	ga_ls5t_ard_3-0-0_102081_2011-01-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years