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

51 results

Time (local)	Label
1987-10-04 09:37:11	ga_ls5t_ard_3-0-0_099069_1987-10-04_final
1987-11-14 09:37:23	ga_ls5t_ard_3-0-0_098083_1987-11-14_final
1987-12-24 08:46:10	ga_ls5t_ard_3-0-0_090077_1987-12-23_final
1988-08-09 09:10:20	ga_ls5t_ard_3-0-0_093086_1988-08-08_final
1989-04-26 08:42:57	ga_ls5t_ard_3-0-0_089084_1989-04-25_final
1989-06-19 09:43:20	ga_ls5t_ard_3-0-0_099083_1989-06-19_final
1989-07-30 09:34:01	ga_ls5t_ard_3-0-0_098077_1989-07-30_final
1989-08-19 10:46:54	ga_ls5t_ard_3-0-0_110075_1989-08-19_final
1990-10-22 10:06:09	ga_ls5t_ard_3-0-0_105068_1990-10-22_final
1990-12-08 11:04:42	ga_ls5t_ard_3-0-0_114076_1990-12-08_final
1992-04-24 09:37:46	ga_ls5t_ard_3-0-0_099079_1992-04-24_final
1992-06-01 10:37:40	ga_ls5t_ard_3-0-0_109075_1992-06-01_final
1992-07-23 08:39:00	ga_ls5t_ard_3-0-0_089089_1992-07-22_final
1992-08-22 08:48:07	ga_ls5t_ard_3-0-0_091082_1992-08-21_final
1992-09-23 08:45:14	ga_ls5t_ard_3-0-0_091076_1992-09-22_final
1992-10-19 09:21:50	ga_ls5t_ard_3-0-0_097076_1992-10-18_final
1992-10-29 09:56:24	ga_ls5t_ard_3-0-0_103070_1992-10-29_final
1992-11-03 10:14:03	ga_ls5t_ard_3-0-0_106068_1992-11-03_final
1993-04-25 09:49:53	ga_ls5t_ard_3-0-0_101082_1993-04-25_final
1993-05-10 09:07:29	ga_ls5t_ard_3-0-0_094084_1993-05-09_final
1993-12-14 09:40:42	ga_ls5t_ard_3-0-0_100076_1993-12-14_final
1994-09-05 09:27:57	ga_ls5t_ard_3-0-0_099072_1994-09-04_final
1995-02-01 09:40:48	ga_ls5t_ard_3-0-0_102070_1995-02-01_final
1995-06-27 09:24:34	ga_ls5t_ard_3-0-0_100076_1995-06-26_final
1995-09-25 08:18:57	ga_ls5t_ard_3-0-0_090077_1995-09-24_final
1995-10-19 09:07:30	ga_ls5t_ard_3-0-0_098078_1995-10-18_final
1995-12-24 10:31:10	ga_ls5t_ard_3-1-0_112067_1995-12-24_final
1996-03-22 10:31:29	ga_ls5t_ard_3-1-0_111068_1996-03-22_final
1996-05-22 08:28:58	ga_ls5t_ard_3-0-0_090077_1996-05-21_final
1996-09-19 09:27:40	ga_ls5t_ard_3-0-0_098084_1996-09-18_final
1996-09-28 11:00:27	ga_ls5t_ard_3-0-0_113083_1996-09-28_final
1996-11-26 09:05:06	ga_ls5t_ard_3-0-0_094081_1996-11-25_final
1997-11-25 11:20:05	ga_ls5t_ard_3-0-0_114077_1997-11-25_final
1998-06-07 11:14:03	ga_ls5t_ard_3-0-0_112084_1998-06-07_final
1998-06-23 11:10:13	ga_ls5t_ard_3-0-0_112074_1998-06-23_final
1999-02-14 09:58:56	ga_ls5t_ard_3-0-0_100078_1999-02-14_final
1999-07-18 09:00:01	ga_ls5t_ard_3-0-0_090089_1999-07-17_final
2004-03-04 10:15:39	ga_ls5t_ard_3-0-0_103074_2004-03-04_final
2005-04-04 09:10:21	ga_ls5t_ard_3-0-0_091076_2005-04-03_final
2005-10-22 10:40:50	ga_ls5t_ard_3-0-0_106068_2005-10-22_final
2006-03-12 10:16:32	ga_ls5t_ard_3-0-0_101077_2006-03-12_final
2006-05-12 11:21:32	ga_ls5t_ard_3-1-0_112067_2006-05-12_final
2007-02-14 09:12:28	ga_ls5t_ard_3-0-0_090077_2007-02-13_final
2007-08-04 10:32:55	ga_ls5t_ard_3-0-0_103081_2007-08-04_final
2008-01-27 10:28:45	ga_ls5t_ard_3-0-0_103077_2008-01-27_final
2008-08-27 10:38:48	ga_ls5t_ard_3-0-0_106069_2008-08-27_final
2009-03-11 10:16:54	ga_ls5t_ard_3-0-0_102074_2009-03-11_final
2009-09-04 11:07:19	ga_ls5t_ard_3-0-0_109084_2009-09-04_final
2010-04-07 11:14:49	ga_ls5t_ard_3-0-0_110084_2010-04-07_final
2011-01-02 11:22:11	ga_ls5t_ard_3-0-0_112074_2011-01-02_final
2011-09-30 08:59:33	ga_ls5t_ard_3-1-0_089077_2011-09-29_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