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
1987-10-04 09:41:11	ga_ls5t_ard_3-0-0_099079_1987-10-04_final
1988-04-23 10:19:10	ga_ls5t_ard_3-0-0_105074_1988-04-23_final
1988-09-22 11:12:21	ga_ls5t_ard_3-0-0_113082_1988-09-22_final
1988-10-29 09:47:28	ga_ls5t_ard_3-0-0_100071_1988-10-29_final
1989-03-06 09:46:57	ga_ls5t_ard_3-0-0_100072_1989-03-06_final
1989-09-04 10:45:24	ga_ls5t_ard_3-0-0_110072_1989-09-04_final
1990-07-02 08:33:52	ga_ls5t_ard_3-0-0_089083_1990-07-01_final
1991-08-19 09:40:28	ga_ls5t_ard_3-0-0_100071_1991-08-19_final
1991-10-30 10:30:53	ga_ls5t_ard_3-0-0_108072_1991-10-30_final
1992-01-29 10:10:56	ga_ls5t_ard_3-0-0_105068_1992-01-29_final
1992-06-26 10:31:11	ga_ls5t_ard_3-0-0_108075_1992-06-26_final
1992-07-09 10:02:55	ga_ls5t_ard_3-0-0_103082_1992-07-09_final
1992-09-17 11:01:43	ga_ls5t_ard_3-0-0_113077_1992-09-17_final
1992-10-27 08:34:18	ga_ls5t_ard_3-0-0_089081_1992-10-26_final
1993-04-08 09:08:03	ga_ls5t_ard_3-0-0_094086_1993-04-07_final
1993-06-21 09:39:24	ga_ls5t_ard_3-0-0_100071_1993-06-21_final
1993-10-26 10:36:15	ga_ls5t_ard_3-0-0_109075_1993-10-26_final
1995-05-16 08:53:24	ga_ls5t_ard_3-0-0_094086_1995-05-15_final
1995-06-10 10:23:20	ga_ls5t_ard_3-0-0_109082_1995-06-10_final
1995-08-11 08:51:14	ga_ls5t_ard_3-0-0_095075_1995-08-10_final
1995-11-01 10:13:16	ga_ls5t_ard_3-0-0_109074_1995-11-01_final
1995-12-14 09:53:45	ga_ls5t_ard_3-0-0_106068_1995-12-14_final
1996-02-12 10:25:07	ga_ls5t_ard_3-0-0_110074_1996-02-12_final
1996-12-21 09:02:30	ga_ls5t_ard_3-1-0_093087_1996-12-20_final
1996-12-23 10:24:21	ga_ls5t_ard_3-0-0_107075_1996-12-23_final
1997-08-28 09:43:00	ga_ls5t_ard_3-0-0_099072_1997-08-28_final
1997-08-30 09:29:54	ga_ls5t_ard_3-1-0_097070_1997-08-29_final
1998-01-03 09:44:45	ga_ls5t_ard_3-0-0_099068_1998-01-03_final
1998-05-05 10:26:41	ga_ls5t_ard_3-0-0_105075_1998-05-05_final
1998-07-04 09:17:45	ga_ls5t_ard_3-0-0_093086_1998-07-03_final
1998-11-17 10:02:07	ga_ls5t_ard_3-0-0_101071_1998-11-17_final
1999-10-29 10:40:53	ga_ls5t_ard_3-0-0_107082_1999-10-29_final
1999-11-06 09:49:10	ga_ls5t_ard_3-0-0_099077_1999-11-06_final
2003-07-18 09:08:30	ga_ls5t_ard_3-0-0_093067_2003-07-17_final
2003-08-07 10:26:13	ga_ls5t_ard_3-0-0_105075_2003-08-07_final
2003-10-17 10:33:30	ga_ls5t_ard_3-0-0_106075_2003-10-17_final
2004-01-11 09:56:52	ga_ls5t_ard_3-0-0_100074_2004-01-11_final
2004-04-01 10:41:23	ga_ls5t_ard_3-0-0_107076_2004-04-01_final
2005-07-29 10:23:44	ga_ls5t_ard_3-0-0_103072_2005-07-29_final
2006-05-10 09:56:11	ga_ls5t_ard_3-0-0_098070_2006-05-10_final
2006-06-24 09:31:57	ga_ls5t_ard_3-0-0_093085_2006-06-24_final
2006-09-15 10:03:56	ga_ls5t_ard_3-0-0_098085_2006-09-15_final
2009-02-19 09:08:39	ga_ls5t_ard_3-1-0_090090_2009-02-18_final
2009-08-30 10:47:07	ga_ls5t_ard_3-0-0_106080_2009-08-30_final
2009-12-03 10:02:26	ga_ls5t_ard_3-0-0_099074_2009-12-03_final
2010-12-07 10:44:11	ga_ls5t_ard_3-0-0_106072_2010-12-07_final
2011-01-07 10:00:15	ga_ls5t_ard_3-1-0_099070_2011-01-07_final
2011-01-17 10:38:56	ga_ls5t_ard_3-0-0_105074_2011-01-17_final
2011-03-18 11:04:23	ga_ls5t_ard_3-0-0_109076_2011-03-18_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