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

57 results

Time (local)	Label
1987-12-24 08:47:46	ga_ls5t_ard_3-0-0_090081_1987-12-23_final
1988-01-21 09:09:47	ga_ls5t_ard_3-0-0_094073_1988-01-20_final
1988-01-27 10:15:18	ga_ls5t_ard_3-0-0_104082_1988-01-27_final
1988-10-18 10:10:24	ga_ls5t_ard_3-0-0_103082_1988-10-18_final
1988-12-17 10:33:42	ga_ls5t_ard_3-0-0_107079_1988-12-17_final
1988-12-25 09:43:50	ga_ls5t_ard_3-0-0_099078_1988-12-25_final
1989-02-05 10:22:14	ga_ls5t_ard_3-0-0_105082_1989-02-05_final
1989-02-27 11:22:13	ga_ls5t_ard_3-0-0_115078_1989-02-27_final
1989-12-22 08:35:22	ga_ls5t_ard_3-0-0_089079_1989-12-21_final
1990-06-19 10:40:28	ga_ls5t_ard_3-0-0_110075_1990-06-19_final
1991-05-10 09:26:18	ga_ls5t_ard_3-0-0_097085_1991-05-09_final
1992-01-23 09:11:04	ga_ls5t_ard_3-0-0_095073_1992-01-22_final
1992-03-11 09:08:35	ga_ls5t_ard_3-0-0_095067_1992-03-10_final
1992-06-15 09:07:46	ga_ls5t_ard_3-0-0_095067_1992-06-14_final
1992-09-25 10:09:18	ga_ls5t_ard_3-0-0_105070_1992-09-25_final
1992-12-07 08:27:57	ga_ls5t_ard_3-0-0_088081_1992-12-06_final
1993-03-07 10:40:26	ga_ls5t_ard_3-0-0_110070_1993-03-07_final
1993-05-15 09:24:50	ga_ls5t_ard_3-0-0_097081_1993-05-14_final
1994-04-18 09:04:25	ga_ls5t_ard_3-0-0_095067_1994-04-17_final
1994-07-31 09:57:32	ga_ls5t_ard_3-0-0_103082_1994-07-31_final
1994-10-14 09:33:24	ga_ls5t_ard_3-0-0_100073_1994-10-14_final
1994-10-17 10:07:48	ga_ls5t_ard_3-0-0_105082_1994-10-17_final
1995-04-17 09:18:00	ga_ls5t_ard_3-0-0_099067_1995-04-16_final
1995-04-17 09:22:24	ga_ls5t_ard_3-0-0_099078_1995-04-16_final
1995-07-20 09:29:42	ga_ls5t_ard_3-0-0_101076_1995-07-19_final
1996-06-10 08:56:56	ga_ls5t_ard_3-0-0_095067_1996-06-09_final
1996-09-04 08:28:25	ga_ls5t_ard_3-1-0_089077_1996-09-03_final
1996-12-01 09:19:07	ga_ls5t_ard_3-1-0_097069_1996-11-30_final
1997-05-26 09:26:19	ga_ls5t_ard_3-1-0_097069_1997-05-25_final
1997-07-22 09:28:52	ga_ls5t_ard_3-0-0_096086_1997-07-21_final
1997-10-09 08:44:23	ga_ls5t_ard_3-1-0_089077_1997-10-08_final
1997-10-24 11:15:19	ga_ls5t_ard_3-0-0_114067_1997-10-24_final
1997-11-02 09:31:17	ga_ls5t_ard_3-1-0_097069_1997-11-02_final
1997-12-05 08:41:15	ga_ls5t_ard_3-1-0_088081_1997-12-04_final
1998-06-27 09:03:52	ga_ls5t_ard_3-0-0_092067_1998-06-26_final
2003-12-14 11:14:49	ga_ls5t_ard_3-0-0_112084_2003-12-14_final
2003-12-28 09:45:39	ga_ls5t_ard_3-0-0_098077_2003-12-28_final
2004-01-04 09:49:29	ga_ls5t_ard_3-0-0_099071_2004-01-04_final
2004-04-02 09:48:35	ga_ls5t_ard_3-0-0_098083_2004-04-02_final
2004-05-19 09:03:32	ga_ls5t_ard_3-1-0_091075_2004-05-18_final
2004-10-20 11:25:27	ga_ls5t_ard_3-0-0_113080_2004-10-20_final
2004-11-11 09:09:53	ga_ls5t_ard_3-0-0_091080_2004-11-10_final
2005-04-27 10:55:31	ga_ls5t_ard_3-0-0_108076_2005-04-27_final
2005-05-09 09:37:50	ga_ls5t_ard_3-1-0_096067_2005-05-09_final
2005-07-08 10:06:09	ga_ls5t_ard_3-0-0_100075_2005-07-08_final
2005-11-21 09:18:23	ga_ls5t_ard_3-0-0_092077_2005-11-20_final
2006-01-29 11:13:26	ga_ls5t_ard_3-0-0_111067_2006-01-29_final
2006-12-12 10:53:26	ga_ls5t_ard_3-0-0_106083_2006-12-12_final
2007-01-21 09:58:16	ga_ls5t_ard_3-0-0_098068_2007-01-21_final
2007-01-23 09:45:31	ga_ls5t_ard_3-0-0_096067_2007-01-23_final
2009-02-08 11:00:13	ga_ls5t_ard_3-0-0_109076_2009-02-08_final
2009-02-27 09:50:42	ga_ls5t_ard_3-0-0_098071_2009-02-27_final
2009-05-01 09:10:21	ga_ls5t_ard_3-1-0_091075_2009-04-30_final
2009-05-17 09:10:40	ga_ls5t_ard_3-1-0_091075_2009-05-16_final
2010-11-17 09:34:01	ga_ls5t_ard_3-0-0_094082_2010-11-17_final
2010-12-10 09:41:00	ga_ls5t_ard_3-0-0_095084_2010-12-10_final
2011-06-23 10:08:35	ga_ls5t_ard_3-0-0_100077_2011-06-23_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