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

49 results

Time (local)	Label
1987-11-29 10:30:04	ga_ls5t_ard_3-0-0_107075_1987-11-29_final
1988-06-08 10:32:17	ga_ls5t_ard_3-0-0_107075_1988-06-08_final
1988-06-24 08:59:05	ga_ls5t_ard_3-0-0_091089_1988-06-23_final
1988-12-10 10:23:37	ga_ls5t_ard_3-0-0_106069_1988-12-10_final
1989-04-04 10:57:34	ga_ls5t_ard_3-0-0_111080_1989-04-04_final
1989-05-22 10:54:06	ga_ls5t_ard_3-0-0_111073_1989-05-22_final
1989-11-30 09:08:18	ga_ls5t_ard_3-0-0_095067_1989-11-29_final
1990-07-20 09:59:29	ga_ls5t_ard_3-0-0_103081_1990-07-20_final
1990-10-21 09:26:53	ga_ls5t_ard_3-0-0_098078_1990-10-20_final
1990-12-25 08:33:44	ga_ls5t_ard_3-0-0_089084_1990-12-24_final
1991-02-17 09:33:59	ga_ls5t_ard_3-0-0_099077_1991-02-17_final
1991-06-17 10:24:37	ga_ls5t_ard_3-0-0_107075_1991-06-17_final
1991-07-11 09:33:56	ga_ls5t_ard_3-0-0_099071_1991-07-11_final
1991-11-23 09:41:07	ga_ls5t_ard_3-0-0_100071_1991-11-23_final
1992-10-27 10:10:23	ga_ls5t_ard_3-0-0_105074_1992-10-27_final
1992-11-30 09:55:22	ga_ls5t_ard_3-0-0_103068_1992-11-30_final
1992-12-12 10:23:02	ga_ls5t_ard_3-0-0_107075_1992-12-12_final
1993-01-22 10:14:30	ga_ls5t_ard_3-0-0_106068_1993-01-22_final
1993-06-06 08:51:02	ga_ls5t_ard_3-0-0_091089_1993-06-05_final
1993-11-16 10:51:24	ga_ls5t_ard_3-0-0_112067_1993-11-16_final
1994-07-13 08:29:55	ga_ls5t_ard_3-0-0_089078_1994-07-12_final
1994-08-29 09:23:56	ga_ls5t_ard_3-0-0_098077_1994-08-28_final
1995-04-13 09:46:05	ga_ls5t_ard_3-0-0_103075_1995-04-13_final
1995-04-17 09:19:12	ga_ls5t_ard_3-0-0_099070_1995-04-16_final
1995-06-17 08:49:55	ga_ls5t_ard_3-0-0_094081_1995-06-16_final
1996-02-04 09:37:55	ga_ls5t_ard_3-0-0_102081_1996-02-04_final
1997-01-07 09:40:12	ga_ls5t_ard_3-0-0_100071_1997-01-07_final
1997-01-20 09:10:42	ga_ls5t_ard_3-0-0_095073_1997-01-19_final
1997-06-01 08:51:50	ga_ls5t_ard_3-1-0_091075_1997-05-31_final
1997-06-29 09:14:19	ga_ls5t_ard_3-1-0_095067_1997-06-28_final
1997-11-15 10:41:10	ga_ls5t_ard_3-0-0_108073_1997-11-15_final
1998-10-18 09:52:44	ga_ls5t_ard_3-0-0_099079_1998-10-18_final
1999-02-27 11:04:55	ga_ls5t_ard_3-0-0_111073_1999-02-27_final
1999-05-14 09:52:26	ga_ls5t_ard_3-0-0_099079_1999-05-14_final
2003-07-16 09:20:49	ga_ls5t_ard_3-0-0_095067_2003-07-15_final
2003-08-07 10:26:37	ga_ls5t_ard_3-0-0_105076_2003-08-07_final
2003-09-06 09:03:49	ga_ls5t_ard_3-0-0_091084_2003-09-05_final
2003-10-13 10:57:46	ga_ls5t_ard_3-0-0_110074_2003-10-13_final
2005-02-07 09:59:56	ga_ls5t_ard_3-0-0_099078_2005-02-07_final
2005-02-16 09:50:43	ga_ls5t_ard_3-0-0_098070_2005-02-16_final
2005-09-19 10:02:03	ga_ls5t_ard_3-0-0_099079_2005-09-19_final
2007-06-29 09:19:51	ga_ls5t_ard_3-0-0_091083_2007-06-28_final
2007-07-02 11:23:14	ga_ls5t_ard_3-1-0_112067_2007-07-02_final
2008-03-02 09:24:56	ga_ls5t_ard_3-0-0_092089_2008-03-01_final
2008-04-08 09:33:54	ga_ls5t_ard_3-1-0_095067_2008-04-08_final
2008-05-03 11:08:21	ga_ls5t_ard_3-0-0_110073_2008-05-03_final
2009-09-07 09:56:59	ga_ls5t_ard_3-0-0_098078_2009-09-07_final
2010-04-26 10:01:34	ga_ls5t_ard_3-0-0_099071_2010-04-26_final
2010-12-27 10:23:09	ga_ls5t_ard_3-0-0_102081_2010-12-27_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