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
1987-10-13 09:36:46	ga_ls5t_ard_3-0-0_098083_1987-10-13_final
1987-10-27 09:46:56	ga_ls5t_ard_3-0-0_100077_1987-10-27_final
1988-07-09 09:50:46	ga_ls5t_ard_3-0-0_100079_1988-07-09_final
1989-08-19 09:04:50	ga_ls5t_ard_3-0-0_094067_1989-08-18_final
1989-11-15 09:57:25	ga_ls5t_ard_3-0-0_102081_1989-11-15_final
1990-09-12 09:17:25	ga_ls5t_ard_3-0-0_097069_1990-09-11_final
1991-06-04 10:55:01	ga_ls5t_ard_3-0-0_112074_1991-06-04_final
1991-06-10 08:41:53	ga_ls5t_ard_3-0-0_090081_1991-06-09_final
1991-08-12 11:15:31	ga_ls5t_ard_3-0-0_115077_1991-08-12_final
1992-03-13 10:37:53	ga_ls5t_ard_3-0-0_109074_1992-03-13_final
1992-05-07 09:01:58	ga_ls5t_ard_3-0-0_094067_1992-05-06_final
1992-05-22 10:01:26	ga_ls5t_ard_3-0-0_103077_1992-05-22_final
1992-06-24 09:01:29	ga_ls5t_ard_3-0-0_094067_1992-06-23_final
1992-12-06 09:18:47	ga_ls5t_ard_3-1-0_097069_1992-12-05_final
1993-01-02 08:59:42	ga_ls5t_ard_3-0-0_094067_1993-01-01_final
1993-03-23 09:00:23	ga_ls5t_ard_3-0-0_094067_1993-03-22_final
1993-03-26 09:35:16	ga_ls5t_ard_3-0-0_099077_1993-03-26_final
1993-11-02 09:00:18	ga_ls5t_ard_3-0-0_094067_1993-11-01_final
1993-11-18 09:00:08	ga_ls5t_ard_3-0-0_094067_1993-11-17_final
1994-04-21 09:39:16	ga_ls5t_ard_3-0-0_100077_1994-04-21_final
1994-06-08 09:38:23	ga_ls5t_ard_3-0-0_100077_1994-06-08_final
1994-10-14 09:36:12	ga_ls5t_ard_3-0-0_100080_1994-10-14_final
1995-03-07 09:29:52	ga_ls5t_ard_3-1-0_100077_1995-03-06_final
1995-04-10 09:18:31	ga_ls5t_ard_3-0-0_098083_1995-04-09_final
1995-07-19 08:50:28	ga_ls5t_ard_3-0-0_094086_1995-07-18_final
1995-08-14 09:22:48	ga_ls5t_ard_3-0-0_100077_1995-08-13_final
1995-08-30 09:22:03	ga_ls5t_ard_3-0-0_100077_1995-08-29_final
1995-09-25 09:55:27	ga_ls5t_ard_3-0-0_106071_1995-09-25_final
1995-10-16 10:14:03	ga_ls5t_ard_3-0-0_109074_1995-10-16_final
1996-04-22 08:17:15	ga_ls5t_ard_3-1-0_088083_1996-04-21_final
1996-04-25 10:23:37	ga_ls5t_ard_3-0-0_109074_1996-04-25_final
1996-06-09 09:56:29	ga_ls5t_ard_3-0-0_104077_1996-06-09_final
1996-09-14 10:42:33	ga_ls5t_ard_3-1-0_111071_1996-09-14_final
1996-11-17 10:50:57	ga_ls5t_ard_3-0-0_111084_1996-11-17_final
1997-07-18 09:49:52	ga_ls5t_ard_3-0-0_100077_1997-07-18_final
1999-06-23 10:42:03	ga_ls5t_ard_3-0-0_107081_1999-06-23_final
1999-08-26 10:41:32	ga_ls5t_ard_3-0-0_107081_1999-08-26_final
2003-08-05 10:40:57	ga_ls5t_ard_3-0-0_107081_2003-08-05_final
2003-09-04 10:51:01	ga_ls5t_ard_3-0-0_109074_2003-09-04_final
2003-11-07 10:51:47	ga_ls5t_ard_3-0-0_109074_2003-11-07_final
2004-06-19 10:00:51	ga_ls5t_ard_3-0-0_100077_2004-06-19_final
2004-10-29 09:38:34	ga_ls5t_ard_3-0-0_096075_2004-10-29_final
2005-01-12 10:59:47	ga_ls5t_ard_3-0-0_109074_2005-01-12_final
2005-04-04 10:49:14	ga_ls5t_ard_3-0-0_107076_2005-04-04_final
2005-06-23 09:16:04	ga_ls5t_ard_3-0-0_091089_2005-06-22_final
2005-07-16 10:55:18	ga_ls5t_ard_3-0-0_108074_2005-07-16_final
2005-07-25 10:52:01	ga_ls5t_ard_3-0-0_107081_2005-07-25_final
2005-11-21 09:19:59	ga_ls5t_ard_3-0-0_092081_2005-11-20_final
2006-04-28 09:33:18	ga_ls5t_ard_3-0-0_094075_2006-04-28_final
2006-05-01 10:05:27	ga_ls5t_ard_3-0-0_099078_2006-05-01_final
2006-06-25 10:12:02	ga_ls5t_ard_3-1-0_100077_2006-06-25_final
2006-09-05 11:01:14	ga_ls5t_ard_3-0-0_108074_2006-09-05_final
2006-09-21 11:01:25	ga_ls5t_ard_3-0-0_108074_2006-09-21_final
2006-11-08 11:01:54	ga_ls5t_ard_3-0-0_108074_2006-11-08_final
2006-11-13 09:46:00	ga_ls5t_ard_3-0-0_095085_2006-11-13_final
2007-02-21 10:59:08	ga_ls5t_ard_3-0-0_107081_2007-02-21_final
2007-05-20 10:07:59	ga_ls5t_ard_3-0-0_099078_2007-05-20_final
2007-08-28 09:40:02	ga_ls5t_ard_3-0-0_095073_2007-08-28_final
2009-03-30 09:09:45	ga_ls5t_ard_3-1-0_091075_2009-03-29_final
2009-04-23 10:00:51	ga_ls5t_ard_3-0-0_099078_2009-04-23_final
2009-09-06 09:12:30	ga_ls5t_ard_3-1-0_091075_2009-09-05_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