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

54 results

Time (local)	Label
1987-09-03 10:22:32	ga_ls5t_ard_3-0-0_106076_1987-09-03_final
1987-09-28 10:18:08	ga_ls5t_ard_3-0-0_105079_1987-09-28_final
1987-12-06 09:02:15	ga_ls5t_ard_3-0-0_092087_1987-12-05_final
1988-06-27 09:28:48	ga_ls5t_ard_3-0-0_096086_1988-06-26_final
1988-10-29 09:47:28	ga_ls5t_ard_3-0-0_100071_1988-10-29_final
1988-12-06 10:54:23	ga_ls5t_ard_3-0-0_110084_1988-12-06_final
1989-07-11 09:03:30	ga_ls5t_ard_3-0-0_093077_1989-07-10_final
1989-07-19 09:55:10	ga_ls5t_ard_3-0-0_101083_1989-07-19_final
1989-12-28 09:32:37	ga_ls5t_ard_3-0-0_099068_1989-12-28_final
1990-09-20 08:31:30	ga_ls5t_ard_3-0-0_089078_1990-09-19_final
1991-01-19 10:01:59	ga_ls5t_ard_3-0-0_104071_1991-01-19_final
1992-01-20 08:41:45	ga_ls5t_ard_3-0-0_090077_1992-01-19_final
1992-01-27 08:51:35	ga_ls5t_ard_3-0-0_091086_1992-01-26_final
1992-06-18 09:43:24	ga_ls5t_ard_3-0-0_100079_1992-06-18_final
1992-07-14 08:45:18	ga_ls5t_ard_3-0-0_090089_1992-07-13_final
1992-07-17 10:48:40	ga_ls5t_ard_3-0-0_111073_1992-07-17_final
1992-11-26 10:22:00	ga_ls5t_ard_3-0-0_107073_1992-11-26_final
1993-11-13 10:23:20	ga_ls5t_ard_3-0-0_107074_1993-11-13_final
1993-12-13 08:53:52	ga_ls5t_ard_3-0-0_093067_1993-12-12_final
1994-01-05 10:41:04	ga_ls5t_ard_3-0-0_110073_1994-01-05_final
1994-07-04 08:39:32	ga_ls5t_ard_3-0-0_090086_1994-07-03_final
1994-12-20 08:25:13	ga_ls5t_ard_3-0-0_089078_1994-12-19_final
1995-01-08 10:29:57	ga_ls5t_ard_3-0-0_110067_1995-01-08_final
1995-05-16 10:26:42	ga_ls5t_ard_3-0-0_110072_1995-05-16_final
1995-11-27 09:13:44	ga_ls5t_ard_3-0-0_099079_1995-11-26_final
1996-02-01 09:02:25	ga_ls5t_ard_3-0-0_097070_1996-01-31_final
1996-03-12 08:23:15	ga_ls5t_ard_3-0-0_089089_1996-03-11_final
1996-10-30 11:01:16	ga_ls5t_ard_3-0-0_113081_1996-10-30_final
1997-01-20 10:50:00	ga_ls5t_ard_3-0-0_111074_1997-01-20_final
1997-09-18 10:01:20	ga_ls5t_ard_3-0-0_102070_1997-09-18_final
1997-11-22 10:48:18	ga_ls5t_ard_3-0-0_109075_1997-11-22_final
1998-09-04 09:25:05	ga_ls5t_ard_3-0-0_095072_1998-09-03_final
1999-06-12 09:22:11	ga_ls5t_ard_3-0-0_094082_1999-06-11_final
2003-10-20 09:24:22	ga_ls5t_ard_3-0-0_095072_2003-10-19_final
2003-12-16 11:02:29	ga_ls5t_ard_3-0-0_110084_2003-12-16_final
2003-12-23 11:04:22	ga_ls5t_ard_3-0-0_111073_2003-12-23_final
2004-02-06 10:33:15	ga_ls5t_ard_3-0-0_106072_2004-02-06_final
2004-06-15 10:27:27	ga_ls5t_ard_3-0-0_104082_2004-06-15_final
2005-03-12 10:39:43	ga_ls5t_ard_3-0-0_106068_2005-03-12_final
2005-05-27 09:28:25	ga_ls5t_ard_3-0-0_094074_2005-05-26_final
2006-02-26 10:06:40	ga_ls5t_ard_3-0-0_099084_2006-02-26_final
2006-04-16 10:47:41	ga_ls5t_ard_3-0-0_106076_2006-04-16_final
2006-10-10 09:55:15	ga_ls5t_ard_3-0-0_097078_2006-10-10_final
2007-01-26 10:20:49	ga_ls5t_ard_3-0-0_101078_2007-01-26_final
2007-03-06 10:27:01	ga_ls5t_ard_3-0-0_102078_2007-03-06_final
2007-07-22 09:27:27	ga_ls5t_ard_3-0-0_092087_2007-07-21_final
2007-10-06 09:45:05	ga_ls5t_ard_3-0-0_096071_2007-10-06_final
2008-01-14 09:21:01	ga_ls5t_ard_3-0-0_092077_2008-01-13_final
2008-09-01 09:21:07	ga_ls5t_ard_3-0-0_093076_2008-08-31_final
2009-02-21 10:32:02	ga_ls5t_ard_3-1-0_104082_2009-02-21_final
2009-03-03 09:27:17	ga_ls5t_ard_3-0-0_094074_2009-03-02_final
2009-04-01 10:36:43	ga_ls5t_ard_3-0-0_105076_2009-04-01_final
2011-09-08 09:35:24	ga_ls5t_ard_3-0-0_095073_2011-09-08_final
2011-09-10 11:00:42	ga_ls5t_ard_3-0-0_109070_2011-09-10_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