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

53 results

Time (local)	Label
1987-10-05 08:49:10	ga_ls5t_ard_3-0-0_090088_1987-10-04_final
1988-09-21 08:48:13	ga_ls5t_ard_3-0-0_090077_1988-09-20_final
1988-09-30 08:46:44	ga_ls5t_ard_3-0-0_089089_1988-09-29_final
1989-08-18 10:06:03	ga_ls5t_ard_3-0-0_103081_1989-08-18_final
1990-08-08 08:53:50	ga_ls5t_ard_3-0-0_092087_1990-08-07_final
1990-11-01 10:45:06	ga_ls5t_ard_3-0-0_111073_1990-11-01_final
1991-04-22 09:35:55	ga_ls5t_ard_3-0-0_099079_1991-04-22_final
1991-05-22 09:48:02	ga_ls5t_ard_3-0-0_101077_1991-05-22_final
1991-09-14 10:21:27	ga_ls5t_ard_3-0-0_106080_1991-09-14_final
1991-09-21 08:51:13	ga_ls5t_ard_3-0-0_091086_1991-09-20_final
1991-11-07 09:41:04	ga_ls5t_ard_3-0-0_100071_1991-11-07_final
1992-07-29 09:35:56	ga_ls5t_ard_3-0-0_099077_1992-07-29_final
1992-09-15 09:32:26	ga_ls5t_ard_3-0-0_099070_1992-09-15_final
1992-09-24 09:25:16	ga_ls5t_ard_3-0-0_098068_1992-09-23_final
1992-09-30 08:54:50	ga_ls5t_ard_3-0-0_092085_1992-09-29_final
1993-01-31 10:14:25	ga_ls5t_ard_3-1-0_105083_1993-01-31_final
1993-12-24 10:16:54	ga_ls5t_ard_3-0-0_106074_1993-12-24_final
1994-03-07 10:07:20	ga_ls5t_ard_3-0-0_105068_1994-03-07_final
1994-08-22 09:19:07	ga_ls5t_ard_3-0-0_097080_1994-08-21_final
1994-09-14 09:23:32	ga_ls5t_ard_3-0-0_098077_1994-09-13_final
1994-10-23 09:29:19	ga_ls5t_ard_3-0-0_099079_1994-10-22_final
1994-11-18 08:27:24	ga_ls5t_ard_3-0-0_089081_1994-11-17_final
1995-04-10 09:18:31	ga_ls5t_ard_3-0-0_098083_1995-04-09_final
1995-07-09 08:12:15	ga_ls5t_ard_3-1-0_088082_1995-07-08_final
1995-11-20 09:06:32	ga_ls5t_ard_3-0-0_098077_1995-11-19_final
1996-02-22 09:25:35	ga_ls5t_ard_3-0-0_100078_1996-02-21_final
1996-04-24 09:43:29	ga_ls5t_ard_3-0-0_102082_1996-04-24_final
1996-05-30 09:19:39	ga_ls5t_ard_3-0-0_098079_1996-05-29_final
1996-06-09 09:56:29	ga_ls5t_ard_3-0-0_104077_1996-06-09_final
1996-07-24 11:07:16	ga_ls5t_ard_3-0-0_115078_1996-07-24_final
1996-08-28 10:00:20	ga_ls5t_ard_3-0-0_104076_1996-08-28_final
1997-01-05 09:52:28	ga_ls5t_ard_3-0-0_102071_1997-01-05_final
1997-02-02 08:41:59	ga_ls5t_ard_3-0-0_090077_1997-02-01_final
1998-10-01 10:46:46	ga_ls5t_ard_3-0-0_108075_1998-10-01_final
1998-10-25 09:58:09	ga_ls5t_ard_3-0-0_100077_1998-10-25_final
1998-12-20 10:50:09	ga_ls5t_ard_3-0-0_108083_1998-12-20_final
2003-09-21 09:57:17	ga_ls5t_ard_3-0-0_100078_2003-09-21_final
2003-10-09 09:47:33	ga_ls5t_ard_3-0-0_098084_2003-10-09_final
2003-11-16 10:47:50	ga_ls5t_ard_3-0-0_108079_2003-11-16_final
2004-06-11 09:15:59	ga_ls5t_ard_3-0-0_092089_2004-06-10_final
2004-09-01 10:39:02	ga_ls5t_ard_3-0-0_106075_2004-09-01_final
2004-10-09 10:04:04	ga_ls5t_ard_3-0-0_100078_2004-10-09_final
2004-11-12 11:30:03	ga_ls5t_ard_3-0-0_114075_2004-11-12_final
2005-04-28 09:57:54	ga_ls5t_ard_3-0-0_099071_2005-04-28_final
2006-01-21 10:25:47	ga_ls5t_ard_3-0-0_103072_2006-01-21_final
2007-03-05 11:20:39	ga_ls5t_ard_3-0-0_111073_2007-03-05_final
2008-02-20 11:15:47	ga_ls5t_ard_3-0-0_111072_2008-02-20_final
2009-01-17 09:55:02	ga_ls5t_ard_3-0-0_099069_2009-01-17_final
2009-02-15 11:07:46	ga_ls5t_ard_3-0-0_110079_2009-02-15_final
2009-03-20 10:12:32	ga_ls5t_ard_3-0-0_101078_2009-03-20_final
2009-11-19 09:47:57	ga_ls5t_ard_3-0-0_097069_2009-11-19_final
2009-12-12 09:54:20	ga_ls5t_ard_3-0-0_098069_2009-12-12_final
2010-02-05 10:00:48	ga_ls5t_ard_3-0-0_099069_2010-02-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years