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

42 results

Time (local)	Label
1988-05-10 09:27:19	ga_ls5t_ard_3-0-0_096083_1988-05-09_final
1989-03-10 11:02:34	ga_ls5t_ard_3-0-0_112076_1989-03-10_final
1989-10-16 09:44:25	ga_ls5t_ard_3-0-0_100077_1989-10-16_final
1990-02-18 09:08:13	ga_ls5t_ard_3-0-0_095073_1990-02-17_final
1990-02-23 09:26:12	ga_ls5t_ard_3-0-0_098072_1990-02-22_final
1990-03-18 11:12:52	ga_ls5t_ard_3-0-0_115078_1990-03-18_final
1990-04-18 10:27:47	ga_ls5t_ard_3-0-0_108074_1990-04-18_final
1991-03-14 09:28:42	ga_ls5t_ard_3-0-0_098078_1991-03-13_final
1991-04-26 10:48:08	ga_ls5t_ard_3-0-0_111074_1991-04-26_final
1992-11-01 10:28:51	ga_ls5t_ard_3-0-0_108074_1992-11-01_final
1993-01-28 09:41:04	ga_ls5t_ard_3-0-0_100077_1993-01-28_final
1993-03-23 10:44:51	ga_ls5t_ard_3-0-0_110081_1993-03-23_final
1993-05-14 10:16:28	ga_ls5t_ard_3-0-0_106071_1993-05-14_final
1994-10-30 09:34:27	ga_ls5t_ard_3-0-0_100077_1994-10-30_final
1995-09-25 09:58:38	ga_ls5t_ard_3-0-0_106079_1995-09-25_final
1996-04-18 08:43:19	ga_ls5t_ard_3-0-0_092087_1996-04-17_final
1996-06-12 10:26:22	ga_ls5t_ard_3-0-0_109074_1996-06-12_final
1996-07-15 09:33:40	ga_ls5t_ard_3-0-0_100077_1996-07-15_final
1996-08-26 08:38:29	ga_ls5t_ard_3-0-0_090088_1996-08-25_final
1997-01-18 09:21:47	ga_ls5t_ard_3-0-0_097070_1997-01-17_final
1997-09-30 10:26:49	ga_ls5t_ard_3-0-0_106071_1997-09-30_final
1999-04-12 09:54:14	ga_ls5t_ard_3-0-0_099083_1999-04-12_final
1999-11-14 10:37:31	ga_ls5t_ard_3-0-0_107075_1999-11-14_final
2004-01-27 09:58:08	ga_ls5t_ard_3-0-0_100077_2004-01-27_final
2004-02-22 10:34:33	ga_ls5t_ard_3-0-0_106075_2004-02-22_final
2004-03-09 10:32:38	ga_ls5t_ard_3-0-0_106070_2004-03-09_final
2004-04-18 09:49:30	ga_ls5t_ard_3-0-0_098084_2004-04-18_final
2004-07-31 10:36:15	ga_ls5t_ard_3-0-0_106070_2004-07-31_final
2004-10-06 09:28:42	ga_ls5t_ard_3-1-0_095067_2004-10-05_final
2004-11-23 11:13:41	ga_ls5t_ard_3-0-0_111080_2004-11-23_final
2005-10-14 11:29:52	ga_ls5t_ard_3-0-0_114067_2005-10-14_final
2005-10-17 10:23:53	ga_ls5t_ard_3-0-0_103072_2005-10-17_final
2006-02-07 11:10:39	ga_ls5t_ard_3-0-0_110075_2006-02-07_final
2006-03-14 10:04:37	ga_ls5t_ard_3-0-0_099078_2006-03-14_final
2006-04-15 10:05:12	ga_ls5t_ard_3-0-0_099078_2006-04-15_final
2006-05-26 09:59:59	ga_ls5t_ard_3-0-0_098079_2006-05-26_final
2006-08-04 09:26:44	ga_ls5t_ard_3-0-0_092086_2006-08-03_final
2007-02-05 10:56:44	ga_ls5t_ard_3-0-0_107075_2007-02-05_final
2008-02-23 10:10:56	ga_ls5t_ard_3-0-0_100080_2008-02-23_final
2008-11-20 09:21:28	ga_ls5t_ard_3-0-0_093082_2008-11-19_final
2010-05-14 09:49:57	ga_ls5t_ard_3-0-0_097073_2010-05-14_final
2011-06-07 10:08:20	ga_ls5t_ard_3-0-0_100076_2011-06-07_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