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

43 results

Time (local)	Label
1987-12-16 11:15:10	ga_ls5t_ard_3-0-0_114079_1987-12-16_final
1988-04-29 09:45:42	ga_ls5t_ard_3-0-0_099083_1988-04-29_final
1989-03-19 10:52:21	ga_ls5t_ard_3-0-0_111067_1989-03-19_final
1989-05-06 09:13:09	ga_ls5t_ard_3-0-0_095067_1989-05-05_final
1989-06-24 10:01:24	ga_ls5t_ard_3-0-0_102082_1989-06-24_final
1989-11-12 11:02:47	ga_ls5t_ard_3-0-0_113074_1989-11-12_final
1990-09-09 08:48:30	ga_ls5t_ard_3-1-0_092074_1990-09-08_final
1991-02-18 10:14:52	ga_ls5t_ard_3-0-0_106071_1991-02-18_final
1991-04-17 09:12:32	ga_ls5t_ard_3-0-0_096067_1991-04-16_final
1991-05-15 09:41:42	ga_ls5t_ard_3-0-0_100077_1991-05-15_final
1991-06-24 08:56:29	ga_ls5t_ard_3-0-0_092086_1991-06-23_final
1992-02-25 09:53:03	ga_ls5t_ard_3-0-0_102070_1992-02-25_final
1992-07-23 10:15:29	ga_ls5t_ard_3-1-0_105083_1992-07-23_final
1992-08-28 09:49:50	ga_ls5t_ard_3-0-0_101082_1992-08-28_final
1993-04-09 09:47:44	ga_ls5t_ard_3-0-0_101077_1993-04-09_final
1993-05-06 09:32:11	ga_ls5t_ard_3-0-0_098084_1993-05-06_final
1993-12-01 10:12:53	ga_ls5t_ard_3-0-0_105079_1993-12-01_final
1994-06-17 09:32:48	ga_ls5t_ard_3-0-0_099079_1994-06-17_final
1995-04-13 09:48:29	ga_ls5t_ard_3-0-0_103081_1995-04-13_final
1995-05-30 08:57:32	ga_ls5t_ard_3-0-0_096067_1995-05-29_final
1995-06-28 08:28:30	ga_ls5t_ard_3-1-0_091075_1995-06-27_final
1995-08-06 08:37:19	ga_ls5t_ard_3-0-0_092086_1995-08-05_final
1995-08-31 08:28:46	ga_ls5t_ard_3-0-0_091083_1995-08-30_final
1996-04-30 09:00:47	ga_ls5t_ard_3-0-0_096067_1996-04-29_final
1996-12-03 09:06:03	ga_ls5t_ard_3-0-0_095067_1996-12-02_final
1999-05-11 09:21:59	ga_ls5t_ard_3-0-0_094080_1999-05-10_final
2003-09-13 10:45:25	ga_ls5t_ard_3-0-0_108075_2003-09-13_final
2004-05-30 10:21:24	ga_ls5t_ard_3-0-0_104068_2004-05-30_final
2004-07-18 09:26:48	ga_ls5t_ard_3-0-0_095067_2004-07-17_final
2004-11-27 10:47:04	ga_ls5t_ard_3-0-0_107075_2004-11-27_final
2005-06-22 10:04:30	ga_ls5t_ard_3-0-0_100071_2005-06-22_final
2005-06-23 10:49:21	ga_ls5t_ard_3-0-0_107075_2005-06-23_final
2006-09-22 10:07:25	ga_ls5t_ard_3-0-0_099078_2006-09-22_final
2006-10-23 09:27:40	ga_ls5t_ard_3-0-0_092086_2006-10-22_final
2006-11-03 09:06:02	ga_ls5t_ard_3-0-0_089078_2006-11-02_final
2006-12-25 10:20:14	ga_ls5t_ard_3-0-0_101077_2006-12-25_final
2007-01-02 11:11:19	ga_ls5t_ard_3-0-0_109081_2007-01-02_final
2007-08-25 09:10:46	ga_ls5t_ard_3-0-0_090077_2007-08-24_final
2007-08-26 11:35:18	ga_ls5t_ard_3-0-0_113083_2007-08-26_final
2009-01-21 09:32:01	ga_ls5t_ard_3-0-0_095073_2009-01-21_final
2010-11-20 11:41:48	ga_ls5t_ard_3-0-0_115077_2010-11-20_final
2011-01-14 10:09:14	ga_ls5t_ard_3-0-0_100077_2011-01-14_final
2011-06-20 11:16:12	ga_ls5t_ard_3-0-0_111076_2011-06-20_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