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

54 results

Time (local)	Label
1988-02-13 10:55:16	ga_ls5t_ard_3-0-0_111073_1988-02-13_final
1988-10-18 10:07:12	ga_ls5t_ard_3-0-0_103074_1988-10-18_final
1988-11-28 10:03:51	ga_ls5t_ard_3-0-0_102081_1988-11-28_final
1989-08-06 09:40:03	ga_ls5t_ard_3-0-0_099077_1989-08-06_final
1990-06-22 09:29:41	ga_ls5t_ard_3-0-0_099068_1990-06-21_final
1990-07-20 09:59:29	ga_ls5t_ard_3-0-0_103081_1990-07-20_final
1990-12-16 10:13:24	ga_ls5t_ard_3-0-0_106071_1990-12-16_final
1991-07-17 10:37:03	ga_ls5t_ard_3-0-0_109074_1991-07-17_final
1991-08-07 09:20:53	ga_ls5t_ard_3-0-0_096084_1991-08-06_final
1991-09-25 10:03:22	ga_ls5t_ard_3-0-0_103081_1991-09-25_final
1992-03-27 09:10:28	ga_ls5t_ard_3-0-0_095072_1992-03-26_final
1992-05-02 08:51:05	ga_ls5t_ard_3-0-0_091086_1992-05-01_final
1992-12-08 10:46:55	ga_ls5t_ard_3-0-0_111073_1992-12-08_final
1993-04-08 09:03:16	ga_ls5t_ard_3-0-0_094074_1993-04-07_final
1993-06-24 08:37:23	ga_ls5t_ard_3-0-0_089086_1993-06-23_final
1994-07-31 09:57:32	ga_ls5t_ard_3-0-0_103082_1994-07-31_final
1995-01-02 09:31:58	ga_ls5t_ard_3-0-0_100076_1995-01-02_final
1995-05-13 08:19:50	ga_ls5t_ard_3-0-0_089079_1995-05-12_final
1995-05-26 09:26:25	ga_ls5t_ard_3-0-0_100077_1995-05-25_final
1995-05-29 08:19:06	ga_ls5t_ard_3-0-0_089079_1995-05-28_final
1995-06-26 10:19:49	ga_ls5t_ard_3-0-0_109075_1995-06-26_final
1995-06-27 09:24:57	ga_ls5t_ard_3-1-0_100077_1995-06-26_final
1995-07-26 10:30:02	ga_ls5t_ard_3-0-0_111073_1995-07-26_final
1996-02-28 10:26:12	ga_ls5t_ard_3-1-0_110074_1996-02-28_final
1996-07-25 10:07:42	ga_ls5t_ard_3-0-0_106068_1996-07-25_final
1998-02-20 09:47:21	ga_ls5t_ard_3-0-0_099072_1998-02-20_final
1998-04-26 10:29:55	ga_ls5t_ard_3-0-0_106068_1998-04-26_final
1998-05-22 11:09:48	ga_ls5t_ard_3-0-0_112074_1998-05-22_final
1999-08-10 09:04:56	ga_ls5t_ard_3-0-0_091086_1999-08-09_final
1999-10-29 08:59:37	ga_ls5t_ard_3-0-0_091076_1999-10-28_final
2004-03-05 10:58:31	ga_ls5t_ard_3-0-0_110073_2004-03-05_final
2004-03-15 09:58:47	ga_ls5t_ard_3-0-0_100078_2004-03-15_final
2004-04-10 10:35:06	ga_ls5t_ard_3-0-0_106075_2004-04-10_final
2004-04-13 11:08:54	ga_ls5t_ard_3-0-0_111082_2004-04-13_final
2004-04-25 09:53:52	ga_ls5t_ard_3-0-0_099079_2004-04-25_final
2004-07-20 10:56:33	ga_ls5t_ard_3-0-0_109075_2004-07-20_final
2004-09-06 10:57:19	ga_ls5t_ard_3-0-0_109074_2004-09-06_final
2004-09-13 11:03:41	ga_ls5t_ard_3-0-0_110074_2004-09-13_final
2005-04-06 10:33:42	ga_ls5t_ard_3-0-0_105068_2005-04-06_final
2005-07-27 10:37:41	ga_ls5t_ard_3-0-0_105076_2005-07-27_final
2005-08-07 10:18:02	ga_ls5t_ard_3-0-0_102073_2005-08-07_final
2005-10-17 10:23:53	ga_ls5t_ard_3-0-0_103072_2005-10-17_final
2005-11-06 09:57:17	ga_ls5t_ard_3-0-0_099067_2005-11-06_final
2006-04-28 09:33:18	ga_ls5t_ard_3-0-0_094075_2006-04-28_final
2006-08-02 11:13:10	ga_ls5t_ard_3-0-0_110074_2006-08-02_final
2006-09-20 10:19:45	ga_ls5t_ard_3-0-0_101078_2006-09-20_final
2007-01-10 10:17:56	ga_ls5t_ard_3-0-0_101071_2007-01-10_final
2007-04-25 10:11:38	ga_ls5t_ard_3-0-0_100071_2007-04-25_final
2008-01-14 09:21:01	ga_ls5t_ard_3-0-0_092077_2008-01-13_final
2008-01-27 10:25:10	ga_ls5t_ard_3-0-0_103068_2008-01-27_final
2008-12-28 10:20:26	ga_ls5t_ard_3-0-0_103072_2008-12-28_final
2009-12-17 10:13:43	ga_ls5t_ard_3-0-0_101071_2009-12-17_final
2010-02-21 10:01:15	ga_ls5t_ard_3-0-0_099070_2010-02-21_final
2011-04-20 10:08:59	ga_ls5t_ard_3-0-0_100077_2011-04-20_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