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

44 results

Time (local)	Label
1988-03-19 09:46:51	ga_ls5t_ard_3-0-0_100071_1988-03-19_final
1988-12-10 08:48:19	ga_ls5t_ard_3-0-0_090078_1988-12-09_final
1988-12-18 09:38:29	ga_ls5t_ard_3-0-0_098080_1988-12-18_final
1989-01-17 09:47:00	ga_ls5t_ard_3-0-0_100071_1989-01-17_final
1989-02-28 08:52:05	ga_ls5t_ard_3-0-0_090089_1989-02-27_final
1989-05-16 09:51:35	ga_ls5t_ard_3-0-0_101071_1989-05-16_final
1989-11-02 08:53:34	ga_ls5t_ard_3-0-0_091090_1989-11-01_final
1990-09-07 10:40:07	ga_ls5t_ard_3-0-0_110075_1990-09-07_final
1991-01-15 08:53:41	ga_ls5t_ard_3-0-0_092086_1991-01-14_final
1991-09-05 08:51:04	ga_ls5t_ard_3-0-0_091086_1991-09-04_final
1992-05-10 09:34:51	ga_ls5t_ard_3-0-0_099072_1992-05-10_final
1992-08-22 08:45:19	ga_ls5t_ard_3-1-0_091075_1992-08-21_final
1992-08-22 08:50:31	ga_ls5t_ard_3-0-0_091088_1992-08-21_final
1993-02-12 10:35:40	ga_ls5t_ard_3-0-0_109074_1993-02-12_final
1993-04-01 08:57:27	ga_ls5t_ard_3-0-0_093075_1993-03-31_final
1994-07-17 09:41:35	ga_ls5t_ard_3-0-0_101072_1994-07-17_final
1995-03-17 10:04:08	ga_ls5t_ard_3-0-0_106071_1995-03-17_final
1995-05-14 10:43:56	ga_ls5t_ard_3-0-0_112084_1995-05-14_final
1995-08-11 10:29:19	ga_ls5t_ard_3-0-0_111073_1995-08-11_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1997-01-22 10:36:56	ga_ls5t_ard_3-0-0_109072_1997-01-22_final
1997-10-28 09:14:13	ga_ls5t_ard_3-0-0_094073_1997-10-27_final
1998-08-23 10:43:07	ga_ls5t_ard_3-0-0_107082_1998-08-23_final
1998-11-26 09:57:08	ga_ls5t_ard_3-0-0_100074_1998-11-26_final
1999-01-31 09:43:36	ga_ls5t_ard_3-0-0_098071_1999-01-31_final
1999-05-20 10:52:29	ga_ls5t_ard_3-0-0_109075_1999-05-20_final
1999-06-18 08:45:05	ga_ls5t_ard_3-0-0_088082_1999-06-17_final
1999-11-09 10:16:23	ga_ls5t_ard_3-0-0_104068_1999-11-09_final
2003-07-17 10:08:30	ga_ls5t_ard_3-0-0_102078_2003-07-17_final
2004-04-04 11:08:48	ga_ls5t_ard_3-1-0_112067_2004-04-04_final
2004-08-15 09:53:43	ga_ls5t_ard_3-0-0_099071_2004-08-15_final
2004-10-02 09:55:20	ga_ls5t_ard_3-0-0_099072_2004-10-02_final
2004-12-06 10:43:53	ga_ls5t_ard_3-0-0_106082_2004-12-06_final
2005-02-19 10:24:52	ga_ls5t_ard_3-0-0_103078_2005-02-19_final
2005-03-03 09:14:53	ga_ls5t_ard_3-0-0_091088_2005-03-02_final
2005-05-28 10:13:17	ga_ls5t_ard_3-0-0_101078_2005-05-28_final
2006-09-22 10:03:49	ga_ls5t_ard_3-0-0_099069_2006-09-22_final
2007-06-01 10:33:43	ga_ls5t_ard_3-0-0_103081_2007-06-01_final
2007-09-25 10:04:08	ga_ls5t_ard_3-0-0_099072_2007-09-25_final
2008-03-11 10:50:17	ga_ls5t_ard_3-0-0_107071_2008-03-11_final
2009-04-01 08:59:01	ga_ls5t_ard_3-0-0_089079_2009-03-31_final
2009-11-17 11:41:34	ga_ls5t_ard_3-0-0_115075_2009-11-17_final
2010-11-26 11:07:07	ga_ls5t_ard_3-0-0_109083_2010-11-26_final
2010-12-08 09:50:09	ga_ls5t_ard_3-0-0_097076_2010-12-08_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