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

51 results

Time (local)	Label
1987-09-06 09:18:37	ga_ls5t_ard_3-0-0_095086_1987-09-05_final
1987-09-28 10:19:20	ga_ls5t_ard_3-0-0_105082_1987-09-28_final
1988-02-27 09:27:20	ga_ls5t_ard_3-1-0_097069_1988-02-26_final
1988-07-09 09:47:35	ga_ls5t_ard_3-0-0_100071_1988-07-09_final
1988-07-31 10:50:14	ga_ls5t_ard_3-0-0_110073_1988-07-31_final
1988-08-23 10:56:27	ga_ls5t_ard_3-0-0_111073_1988-08-23_final
1989-01-18 08:58:08	ga_ls5t_ard_3-0-0_091088_1989-01-17_final
1989-02-10 09:04:14	ga_ls5t_ard_3-0-0_092088_1989-02-09_final
1989-03-09 08:41:39	ga_ls5t_ard_3-0-0_089079_1989-03-08_final
1990-06-06 09:30:54	ga_ls5t_ard_3-0-0_099071_1990-06-06_final
1991-01-21 09:50:28	ga_ls5t_ard_3-0-0_102073_1991-01-21_final
1991-03-05 09:35:28	ga_ls5t_ard_3-0-0_099080_1991-03-05_final
1991-06-25 09:36:34	ga_ls5t_ard_3-0-0_099078_1991-06-25_final
1991-08-24 10:03:02	ga_ls5t_ard_3-0-0_103081_1991-08-24_final
1991-09-13 09:37:46	ga_ls5t_ard_3-0-0_099079_1991-09-13_final
1992-09-16 08:43:59	ga_ls5t_ard_3-0-0_090088_1992-09-15_final
1992-11-23 09:53:51	ga_ls5t_ard_3-0-0_102080_1992-11-23_final
1992-12-06 09:18:47	ga_ls5t_ard_3-1-0_097069_1992-12-05_final
1992-12-14 10:07:54	ga_ls5t_ard_3-0-0_105068_1992-12-14_final
1993-01-15 08:33:45	ga_ls5t_ard_3-0-0_089079_1993-01-14_final
1994-08-25 09:50:21	ga_ls5t_ard_3-0-0_102081_1994-08-25_final
1995-02-09 10:31:07	ga_ls5t_ard_3-0-0_110073_1995-02-09_final
1995-03-13 10:30:37	ga_ls5t_ard_3-0-0_110075_1995-03-13_final
1995-06-11 09:26:28	ga_ls5t_ard_3-0-0_100079_1995-06-10_final
1995-09-25 09:54:15	ga_ls5t_ard_3-0-0_106068_1995-09-25_final
1996-02-05 10:18:52	ga_ls5t_ard_3-0-0_109075_1996-02-05_final
1996-04-13 08:21:17	ga_ls5t_ard_3-0-0_089079_1996-04-12_final
1997-01-20 09:10:42	ga_ls5t_ard_3-0-0_095073_1997-01-19_final
1997-02-02 08:41:59	ga_ls5t_ard_3-0-0_090077_1997-02-01_final
1997-07-09 09:56:08	ga_ls5t_ard_3-0-0_101078_1997-07-09_final
1997-09-02 10:05:17	ga_ls5t_ard_3-0-0_102081_1997-09-02_final
1998-03-28 11:02:03	ga_ls5t_ard_3-0-0_111072_1998-03-28_final
1999-01-26 11:05:08	ga_ls5t_ard_3-0-0_111074_1999-01-26_final
1999-07-20 08:44:52	ga_ls5t_ard_3-0-0_088082_1999-07-19_final
2004-01-11 09:58:04	ga_ls5t_ard_3-0-0_100077_2004-01-11_final
2004-07-13 09:16:06	ga_ls5t_ard_3-0-0_092087_2004-07-12_final
2004-11-05 11:24:58	ga_ls5t_ard_3-0-0_113078_2004-11-05_final
2004-12-05 09:58:36	ga_ls5t_ard_3-0-0_099077_2004-12-05_final
2005-01-30 10:50:52	ga_ls5t_ard_3-0-0_107082_2005-01-30_final
2005-05-08 10:37:03	ga_ls5t_ard_3-0-0_105076_2005-05-08_final
2005-05-14 10:01:12	ga_ls5t_ard_3-0-0_099079_2005-05-14_final
2005-06-21 11:01:42	ga_ls5t_ard_3-0-0_109075_2005-06-21_final
2006-04-30 09:21:22	ga_ls5t_ard_3-0-0_092076_2006-04-29_final
2006-07-20 10:03:25	ga_ls5t_ard_3-0-0_099070_2006-07-20_final
2006-08-11 09:25:25	ga_ls5t_ard_3-1-0_093067_2006-08-10_final
2006-10-24 10:04:33	ga_ls5t_ard_3-0-0_099070_2006-10-24_final
2006-12-22 09:50:06	ga_ls5t_ard_3-0-0_096079_2006-12-22_final
2008-06-24 10:40:13	ga_ls5t_ard_3-0-0_106068_2008-06-24_final
2009-01-14 11:08:55	ga_ls5t_ard_3-0-0_110084_2009-01-14_final
2009-07-07 11:20:59	ga_ls5t_ard_3-0-0_112074_2009-07-07_final
2010-01-12 10:52:09	ga_ls5t_ard_3-0-0_107074_2010-01-12_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