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

61 results

Time (local)	Label
1987-11-14 09:34:59	ga_ls5t_ard_3-0-0_098077_1987-11-14_final
1988-02-24 09:03:59	ga_ls5t_ard_3-0-0_092088_1988-02-23_final
1988-03-14 11:08:45	ga_ls5t_ard_3-0-0_113075_1988-03-14_final
1988-09-26 10:45:11	ga_ls5t_ard_3-0-0_109076_1988-09-26_final
1989-06-07 10:53:52	ga_ls5t_ard_3-0-0_111073_1989-06-07_final
1989-07-15 08:38:42	ga_ls5t_ard_3-1-0_089077_1989-07-14_final
1989-09-20 09:11:35	ga_ls5t_ard_3-0-0_094086_1989-09-19_final
1990-05-13 08:49:07	ga_ls5t_ard_3-0-0_091090_1990-05-12_final
1990-08-28 10:05:06	ga_ls5t_ard_3-0-0_104080_1990-08-28_final
1990-12-23 08:47:39	ga_ls5t_ard_3-0-0_091088_1990-12-22_final
1991-03-23 11:00:01	ga_ls5t_ard_3-0-0_113074_1991-03-23_final
1991-07-12 10:16:00	ga_ls5t_ard_3-0-0_106068_1991-07-12_final
1991-10-15 09:37:39	ga_ls5t_ard_3-0-0_099078_1991-10-15_final
1992-01-21 11:06:18	ga_ls5t_ard_3-0-0_113083_1992-01-21_final
1992-03-29 10:39:23	ga_ls5t_ard_3-0-0_109078_1992-03-29_final
1992-11-02 09:35:36	ga_ls5t_ard_3-0-0_099080_1992-11-02_final
1993-05-22 11:09:31	ga_ls5t_ard_3-0-0_114080_1993-05-22_final
1993-06-09 09:18:20	ga_ls5t_ard_3-0-0_096080_1993-06-08_final
1993-07-02 10:58:02	ga_ls5t_ard_3-0-0_113067_1993-07-02_final
1993-10-25 09:51:48	ga_ls5t_ard_3-0-0_102072_1993-10-25_final
1993-12-30 09:40:32	ga_ls5t_ard_3-0-0_100076_1993-12-30_final
1994-06-02 10:12:00	ga_ls5t_ard_3-0-0_106068_1994-06-02_final
1994-07-29 08:30:40	ga_ls5t_ard_3-0-0_089081_1994-07-28_final
1994-10-21 09:41:21	ga_ls5t_ard_3-0-0_101078_1994-10-21_final
1995-03-13 08:56:08	ga_ls5t_ard_3-0-0_094086_1995-03-12_final
1995-09-03 10:34:49	ga_ls5t_ard_3-0-0_112074_1995-09-03_final
1995-12-13 10:53:17	ga_ls5t_ard_3-1-0_115078_1995-12-13_final
1996-05-29 08:39:32	ga_ls5t_ard_3-0-0_091087_1996-05-28_final
1996-06-21 08:46:34	ga_ls5t_ard_3-0-0_092086_1996-06-20_final
1996-12-27 10:02:13	ga_ls5t_ard_3-0-0_103081_1996-12-27_final
1997-04-30 08:55:07	ga_ls5t_ard_3-0-0_091086_1997-04-29_final
1997-05-04 10:07:25	ga_ls5t_ard_3-0-0_103081_1997-05-04_final
1997-07-10 10:36:38	ga_ls5t_ard_3-0-0_108071_1997-07-10_final
1997-09-30 10:30:01	ga_ls5t_ard_3-0-0_106079_1997-09-30_final
1998-03-05 10:56:19	ga_ls5t_ard_3-0-0_110074_1998-03-05_final
1999-05-19 10:12:03	ga_ls5t_ard_3-0-0_102082_1999-05-19_final
1999-08-05 08:44:50	ga_ls5t_ard_3-0-0_088082_1999-08-04_final
2003-10-10 10:27:14	ga_ls5t_ard_3-0-0_105075_2003-10-10_final
2003-11-26 09:45:25	ga_ls5t_ard_3-0-0_098077_2003-11-26_final
2004-02-09 11:04:58	ga_ls5t_ard_3-0-0_111074_2004-02-09_final
2004-06-10 10:05:58	ga_ls5t_ard_3-0-0_101075_2004-06-10_final
2004-08-21 10:57:41	ga_ls5t_ard_3-0-0_109076_2004-08-21_final
2004-10-02 09:55:20	ga_ls5t_ard_3-0-0_099072_2004-10-02_final
2004-12-11 10:59:20	ga_ls5t_ard_3-0-0_109074_2004-12-11_final
2005-01-03 11:06:16	ga_ls5t_ard_3-0-0_110075_2005-01-03_final
2005-11-22 09:58:29	ga_ls5t_ard_3-0-0_099069_2005-11-22_final
2006-09-03 11:13:34	ga_ls5t_ard_3-0-0_110074_2006-09-03_final
2007-01-22 09:09:50	ga_ls5t_ard_3-0-0_089086_2007-01-21_final
2007-10-02 10:14:38	ga_ls5t_ard_3-0-0_100083_2007-10-02_final
2008-11-21 10:02:46	ga_ls5t_ard_3-0-0_100077_2008-11-21_final
2008-11-29 10:49:41	ga_ls5t_ard_3-0-0_108070_2008-11-29_final
2009-02-23 10:19:43	ga_ls5t_ard_3-0-0_102082_2009-02-23_final
2009-03-26 11:12:04	ga_ls5t_ard_3-0-0_111072_2009-03-26_final
2009-05-19 10:37:38	ga_ls5t_ard_3-0-0_105076_2009-05-19_final
2009-06-03 09:52:37	ga_ls5t_ard_3-0-0_098071_2009-06-03_final
2009-10-06 09:29:14	ga_ls5t_ard_3-0-0_093085_2009-10-05_final
2009-10-09 11:31:52	ga_ls5t_ard_3-0-0_114067_2009-10-09_final
2009-10-20 11:16:14	ga_ls5t_ard_3-0-0_111074_2009-10-20_final
2009-12-13 10:37:12	ga_ls5t_ard_3-0-0_105068_2009-12-13_final
2010-03-25 10:04:28	ga_ls5t_ard_3-0-0_099078_2010-03-25_final
2011-03-26 10:15:42	ga_ls5t_ard_3-0-0_101078_2011-03-26_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

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