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
1987-10-27 09:47:44	ga_ls5t_ard_3-0-0_100079_1987-10-27_final
1990-04-20 10:14:13	ga_ls5t_ard_3-0-0_106071_1990-04-20_final
1990-08-13 09:10:23	ga_ls5t_ard_3-0-0_095082_1990-08-12_final
1991-07-20 09:31:07	ga_ls5t_ard_3-0-0_098079_1991-07-20_final
1991-09-29 09:37:04	ga_ls5t_ard_3-0-0_099077_1991-09-29_final
1992-05-06 10:02:24	ga_ls5t_ard_3-0-0_103079_1992-05-06_final
1993-02-16 10:09:22	ga_ls5t_ard_3-0-0_105070_1993-02-16_final
1994-03-27 09:45:54	ga_ls5t_ard_3-0-0_101077_1994-03-27_final
1994-06-20 08:25:57	ga_ls5t_ard_3-0-0_088082_1994-06-19_final
1994-08-10 10:31:58	ga_ls5t_ard_3-0-0_109076_1994-08-10_final
1995-03-04 10:36:22	ga_ls5t_ard_3-0-0_111073_1995-03-04_final
1995-05-26 09:26:49	ga_ls5t_ard_3-0-0_100078_1995-05-25_final
1995-10-26 10:52:10	ga_ls5t_ard_3-0-0_115078_1995-10-26_final
1996-02-09 08:17:07	ga_ls5t_ard_3-0-0_089079_1996-02-08_final
1996-05-19 09:36:47	ga_ls5t_ard_3-0-0_101077_1996-05-19_final
1996-07-16 08:42:53	ga_ls5t_ard_3-0-0_091089_1996-07-15_final
1996-10-06 10:08:38	ga_ls5t_ard_3-0-0_105076_1996-10-06_final
1996-10-21 09:24:08	ga_ls5t_ard_3-0-0_098071_1996-10-20_final
1996-12-30 10:30:04	ga_ls5t_ard_3-0-0_108073_1996-12-30_final
1997-08-03 09:50:00	ga_ls5t_ard_3-0-0_100076_1997-08-03_final
1999-08-31 09:15:28	ga_ls5t_ard_3-0-0_094067_1999-08-30_final
1999-09-22 08:43:40	ga_ls5t_ard_3-1-0_088082_1999-09-21_final
2003-06-30 09:23:45	ga_ls5t_ard_3-0-0_095075_2003-06-29_final
2003-08-14 10:32:31	ga_ls5t_ard_3-0-0_106075_2003-08-14_final
2003-09-14 09:53:00	ga_ls5t_ard_3-0-0_099083_2003-09-14_final
2003-09-29 10:45:13	ga_ls5t_ard_3-0-0_108074_2003-09-29_final
2003-10-16 09:47:01	ga_ls5t_ard_3-0-0_099067_2003-10-16_final
2003-11-24 09:57:45	ga_ls5t_ard_3-0-0_100077_2003-11-24_final
2004-06-07 11:10:41	ga_ls5t_ard_3-0-0_112067_2004-06-07_final
2004-12-26 10:19:07	ga_ls5t_ard_3-0-0_102081_2004-12-26_final
2005-02-11 09:33:17	ga_ls5t_ard_3-0-0_095073_2005-02-11_final
2005-02-24 10:39:30	ga_ls5t_ard_3-0-0_106068_2005-02-24_final
2005-10-25 09:34:51	ga_ls5t_ard_3-0-0_095073_2005-10-25_final
2006-05-10 10:01:23	ga_ls5t_ard_3-0-0_098083_2006-05-10_final
2007-03-21 11:22:12	ga_ls5t_ard_3-0-0_111077_2007-03-21_final
2007-04-18 11:46:47	ga_ls5t_ard_3-0-0_115077_2007-04-18_final
2007-06-17 10:33:26	ga_ls5t_ard_3-0-0_103081_2007-06-17_final
2007-06-27 11:09:32	ga_ls5t_ard_3-0-0_109079_2007-06-27_final
2007-08-08 10:07:22	ga_ls5t_ard_3-0-0_099079_2007-08-08_final
2008-03-18 09:19:01	ga_ls5t_ard_3-0-0_092075_2008-03-17_final
2008-04-20 09:58:44	ga_ls5t_ard_3-0-0_099068_2008-04-20_final
2008-10-16 10:24:30	ga_ls5t_ard_3-0-0_104068_2008-10-16_final
2008-12-16 11:37:03	ga_ls5t_ard_3-0-0_115079_2008-12-16_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