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

46 results

Time (local)	Label
1987-09-28 08:38:51	ga_ls5t_ard_3-0-0_089078_1987-09-27_final
1987-12-24 10:22:40	ga_ls5t_ard_3-0-0_106071_1987-12-24_final
1988-08-11 10:32:27	ga_ls5t_ard_3-0-0_107075_1988-08-11_final
1988-11-27 10:56:41	ga_ls5t_ard_3-0-0_111074_1988-11-27_final
1989-02-09 09:53:05	ga_ls5t_ard_3-0-0_101071_1989-02-09_final
1989-07-09 09:15:54	ga_ls5t_ard_3-0-0_095077_1989-07-08_final
1990-05-22 08:42:07	ga_ls5t_ard_3-0-0_090088_1990-05-21_final
1990-06-14 10:21:55	ga_ls5t_ard_3-0-0_107075_1990-06-14_final
1990-08-17 10:21:43	ga_ls5t_ard_3-0-0_107075_1990-08-17_final
1991-03-02 09:07:17	ga_ls5t_ard_3-0-0_094087_1991-03-01_final
1991-06-24 08:56:52	ga_ls5t_ard_3-0-0_092087_1991-06-23_final
1991-08-07 09:20:53	ga_ls5t_ard_3-0-0_096084_1991-08-06_final
1991-10-23 10:25:54	ga_ls5t_ard_3-0-0_107075_1991-10-23_final
1992-06-03 08:46:24	ga_ls5t_ard_3-1-0_091075_1992-06-02_final
1993-09-29 09:19:40	ga_ls5t_ard_3-0-0_096084_1993-09-28_final
1994-01-29 09:50:06	ga_ls5t_ard_3-0-0_102070_1994-01-29_final
1994-05-17 10:12:17	ga_ls5t_ard_3-0-0_106068_1994-05-17_final
1994-05-31 10:28:47	ga_ls5t_ard_3-0-0_108079_1994-05-31_final
1994-06-05 09:03:33	ga_ls5t_ard_3-0-0_095067_1994-06-04_final
1994-08-26 10:30:47	ga_ls5t_ard_3-0-0_109074_1994-08-26_final
1994-12-02 10:15:49	ga_ls5t_ard_3-0-0_107075_1994-12-02_final
1995-01-03 10:14:47	ga_ls5t_ard_3-0-0_107075_1995-01-03_final
1995-09-02 09:55:12	ga_ls5t_ard_3-1-0_105083_1995-09-02_final
1995-09-15 09:21:16	ga_ls5t_ard_3-0-0_100077_1995-09-14_final
1995-11-28 09:52:38	ga_ls5t_ard_3-0-0_106068_1995-11-28_final
1996-04-04 08:30:29	ga_ls5t_ard_3-0-0_090088_1996-04-03_final
1997-12-12 10:24:06	ga_ls5t_ard_3-0-0_105075_1997-12-12_final
1998-03-18 10:29:14	ga_ls5t_ard_3-1-0_105083_1998-03-18_final
1998-07-09 11:07:39	ga_ls5t_ard_3-0-0_112067_1998-07-09_final
1999-08-04 11:18:33	ga_ls5t_ard_3-0-0_113080_1999-08-04_final
2003-07-23 11:06:01	ga_ls5t_ard_3-1-0_112067_2003-07-23_final
2003-07-25 09:22:24	ga_ls5t_ard_3-0-0_094086_2003-07-24_final
2003-08-29 09:50:44	ga_ls5t_ard_3-0-0_099078_2003-08-29_final
2003-12-09 09:14:33	ga_ls5t_ard_3-0-0_093077_2003-12-08_final
2004-03-09 10:32:38	ga_ls5t_ard_3-0-0_106070_2004-03-09_final
2005-02-17 08:59:55	ga_ls5t_ard_3-0-0_089082_2005-02-16_final
2005-03-27 09:57:22	ga_ls5t_ard_3-0-0_099070_2005-03-27_final
2005-10-01 10:27:32	ga_ls5t_ard_3-0-0_103081_2005-10-01_final
2005-11-22 09:58:53	ga_ls5t_ard_3-0-0_099070_2005-11-22_final
2006-03-15 09:08:36	ga_ls5t_ard_3-0-0_090077_2006-03-14_final
2006-09-17 11:23:18	ga_ls5t_ard_3-0-0_112067_2006-09-17_final
2006-09-21 09:28:32	ga_ls5t_ard_3-0-0_092089_2006-09-20_final
2006-12-15 09:41:28	ga_ls5t_ard_3-0-0_095073_2006-12-15_final
2007-02-28 09:29:13	ga_ls5t_ard_3-0-0_092088_2007-02-27_final
2008-12-02 09:41:24	ga_ls5t_ard_3-1-0_097069_2008-12-02_final
2010-05-05 09:54:34	ga_ls5t_ard_3-0-0_098069_2010-05-05_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