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

45 results

Time (local)	Label
1987-09-06 09:11:02	ga_ls5t_ard_3-1-0_095067_1987-09-05_final
1988-03-14 11:08:45	ga_ls5t_ard_3-0-0_113075_1988-03-14_final
1988-10-02 10:08:29	ga_ls5t_ard_3-0-0_103077_1988-10-02_final
1988-10-17 09:21:09	ga_ls5t_ard_3-0-0_096067_1988-10-16_final
1988-11-23 09:40:08	ga_ls5t_ard_3-0-0_099068_1988-11-23_final
1989-02-24 09:08:05	ga_ls5t_ard_3-0-0_094067_1989-02-23_final
1989-08-08 09:25:15	ga_ls5t_ard_3-0-0_097071_1989-08-07_final
1989-10-13 09:17:15	ga_ls5t_ard_3-0-0_095086_1989-10-12_final
1990-02-15 08:39:48	ga_ls5t_ard_3-0-0_090079_1990-02-14_final
1990-09-28 09:17:16	ga_ls5t_ard_3-0-0_097069_1990-09-27_final
1990-12-28 09:00:18	ga_ls5t_ard_3-0-0_094073_1990-12-27_final
1991-10-12 09:02:19	ga_ls5t_ard_3-0-0_094067_1991-10-11_final
1992-01-19 11:17:04	ga_ls5t_ard_3-0-0_115079_1992-01-19_final
1992-04-21 09:02:08	ga_ls5t_ard_3-0-0_094067_1992-04-20_final
1992-06-08 09:01:42	ga_ls5t_ard_3-0-0_094067_1992-06-07_final
1992-11-26 08:47:30	ga_ls5t_ard_3-0-0_091084_1992-11-25_final
1992-12-01 08:59:22	ga_ls5t_ard_3-0-0_094067_1992-11-30_final
1993-01-18 08:59:54	ga_ls5t_ard_3-0-0_094067_1993-01-17_final
1993-05-26 09:00:45	ga_ls5t_ard_3-0-0_094067_1993-05-25_final
1993-08-07 10:38:06	ga_ls5t_ard_3-0-0_109079_1993-08-07_final
1994-03-08 09:15:41	ga_ls5t_ard_3-0-0_096078_1994-03-07_final
1994-08-13 09:24:19	ga_ls5t_ard_3-0-0_098077_1994-08-12_final
1995-02-09 10:31:07	ga_ls5t_ard_3-0-0_110073_1995-02-09_final
1996-05-30 09:18:51	ga_ls5t_ard_3-0-0_098077_1996-05-29_final
1996-06-27 09:47:05	ga_ls5t_ard_3-0-0_102082_1996-06-27_final
1997-03-05 09:39:41	ga_ls5t_ard_3-0-0_099079_1997-03-05_final
1998-07-27 09:16:33	ga_ls5t_ard_3-0-0_094067_1998-07-26_final
1998-10-01 09:08:17	ga_ls5t_ard_3-0-0_092076_1998-09-30_final
1998-10-18 11:31:13	ga_ls5t_ard_3-0-0_115078_1998-10-18_final
1999-10-21 09:50:03	ga_ls5t_ard_3-0-0_099078_1999-10-21_final
2000-05-04 10:58:48	ga_ls5t_ard_3-0-0_111067_2000-05-04_final
2003-07-05 09:45:35	ga_ls5t_ard_3-0-0_098083_2003-07-05_final
2003-08-17 09:21:24	ga_ls5t_ard_3-0-0_095067_2003-08-16_final
2004-02-02 09:17:05	ga_ls5t_ard_3-0-0_094067_2004-02-01_final
2004-02-17 10:18:22	ga_ls5t_ard_3-0-0_103081_2004-02-17_final
2004-10-29 09:36:58	ga_ls5t_ard_3-0-0_096071_2004-10-29_final
2005-04-24 10:26:35	ga_ls5t_ard_3-0-0_103081_2005-04-24_final
2005-08-07 10:18:02	ga_ls5t_ard_3-0-0_102073_2005-08-07_final
2006-02-07 09:28:35	ga_ls5t_ard_3-0-0_094067_2006-02-06_final
2006-12-26 11:01:54	ga_ls5t_ard_3-0-0_108073_2006-12-26_final
2007-06-18 09:32:14	ga_ls5t_ard_3-0-0_094067_2007-06-18_final
2008-11-03 10:16:42	ga_ls5t_ard_3-0-0_102081_2008-11-03_final
2008-11-30 11:36:34	ga_ls5t_ard_3-0-0_115079_2008-11-30_final
2009-05-14 10:15:48	ga_ls5t_ard_3-1-0_102068_2009-05-14_final
2010-12-10 09:41:00	ga_ls5t_ard_3-0-0_095084_2010-12-10_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