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

62 results

Time (local)	Label
1987-09-11 09:33:17	ga_ls5t_ard_3-0-0_098076_1987-09-11_final
1987-12-13 09:00:33	ga_ls5t_ard_3-0-0_093067_1987-12-12_final
1987-12-27 09:13:08	ga_ls5t_ard_3-0-0_095067_1987-12-26_final
1988-08-05 09:28:41	ga_ls5t_ard_3-0-0_097070_1988-08-04_final
1988-11-06 10:41:45	ga_ls5t_ard_3-0-0_108083_1988-11-06_final
1988-11-15 08:57:27	ga_ls5t_ard_3-0-0_091085_1988-11-14_final
1989-02-10 09:03:02	ga_ls5t_ard_3-0-0_092085_1989-02-09_final
1989-10-05 10:01:04	ga_ls5t_ard_3-0-0_103071_1989-10-05_final
1989-12-20 10:24:18	ga_ls5t_ard_3-0-0_107073_1989-12-20_final
1990-05-20 10:31:24	ga_ls5t_ard_3-0-0_108083_1990-05-20_final
1990-07-09 08:37:38	ga_ls5t_ard_3-0-0_090077_1990-07-08_final
1990-09-03 09:23:11	ga_ls5t_ard_3-0-0_098068_1990-09-02_final
1990-09-04 08:31:09	ga_ls5t_ard_3-1-0_089077_1990-09-03_final
1991-02-18 10:19:16	ga_ls5t_ard_3-0-0_106082_1991-02-18_final
1991-04-13 09:38:47	ga_ls5t_ard_3-0-0_100071_1991-04-13_final
1992-01-20 10:23:02	ga_ls5t_ard_3-0-0_106083_1992-01-20_final
1992-07-10 10:40:10	ga_ls5t_ard_3-0-0_110067_1992-07-10_final
1992-11-24 09:01:26	ga_ls5t_ard_3-0-0_093088_1992-11-23_final
1992-11-29 09:11:41	ga_ls5t_ard_3-0-0_096067_1992-11-28_final
1993-01-02 08:59:42	ga_ls5t_ard_3-0-0_094067_1993-01-01_final
1993-01-11 09:01:37	ga_ls5t_ard_3-0-0_093087_1993-01-10_final
1993-02-06 09:31:01	ga_ls5t_ard_3-0-0_099067_1993-02-06_final
1993-03-21 09:14:21	ga_ls5t_ard_3-0-0_096071_1993-03-20_final
1995-06-26 08:44:32	ga_ls5t_ard_3-0-0_093084_1995-06-25_final
1995-09-18 09:51:13	ga_ls5t_ard_3-0-0_105075_1995-09-18_final
1996-02-08 09:09:53	ga_ls5t_ard_3-0-0_098072_1996-02-07_final
1996-07-02 08:25:24	ga_ls5t_ard_3-0-0_089078_1996-07-01_final
1998-01-03 11:27:37	ga_ls5t_ard_3-0-0_115078_1998-01-03_final
1998-01-14 09:26:03	ga_ls5t_ard_3-0-0_096067_1998-01-13_final
1998-03-02 08:49:41	ga_ls5t_ard_3-0-0_089082_1998-03-01_final
1998-04-13 09:21:22	ga_ls5t_ard_3-0-0_095067_1998-04-12_final
1998-08-19 09:24:54	ga_ls5t_ard_3-0-0_095072_1998-08-18_final
1998-11-22 08:46:10	ga_ls5t_ard_3-1-0_088082_1998-11-21_final
2003-11-10 09:42:17	ga_ls5t_ard_3-0-0_098070_2003-11-10_final
2004-04-02 09:48:35	ga_ls5t_ard_3-0-0_098083_2004-04-02_final
2004-04-11 09:37:31	ga_ls5t_ard_3-0-0_097070_2004-04-11_final
2004-06-26 10:06:27	ga_ls5t_ard_3-0-0_101075_2004-06-26_final
2004-09-17 09:01:22	ga_ls5t_ard_3-0-0_090077_2004-09-16_final
2004-10-29 09:36:34	ga_ls5t_ard_3-0-0_096070_2004-10-29_final
2004-12-25 09:30:15	ga_ls5t_ard_3-0-0_095067_2004-12-25_final
2005-03-20 11:34:01	ga_ls5t_ard_3-0-0_114080_2005-03-20_final
2005-06-22 10:04:30	ga_ls5t_ard_3-0-0_100071_2005-06-22_final
2006-05-28 09:44:04	ga_ls5t_ard_3-0-0_096070_2006-05-28_final
2007-05-14 09:10:39	ga_ls5t_ard_3-0-0_089089_2007-05-13_final
2007-05-17 09:39:55	ga_ls5t_ard_3-0-0_094085_2007-05-17_final
2007-07-24 09:16:16	ga_ls5t_ard_3-1-0_090090_2007-07-23_final
2007-08-12 09:37:49	ga_ls5t_ard_3-1-0_095067_2007-08-12_final
2007-09-01 09:21:40	ga_ls5t_ard_3-0-0_091089_2007-08-31_final
2008-04-11 10:08:44	ga_ls5t_ard_3-0-0_100077_2008-04-11_final
2008-08-14 09:32:46	ga_ls5t_ard_3-0-0_095073_2008-08-14_final
2008-10-29 09:54:21	ga_ls5t_ard_3-0-0_099071_2008-10-29_final
2009-04-23 10:01:39	ga_ls5t_ard_3-0-0_099080_2009-04-23_final
2009-09-03 10:22:51	ga_ls5t_ard_3-0-0_102081_2009-09-03_final
2009-09-05 10:08:55	ga_ls5t_ard_3-0-0_100077_2009-09-05_final
2010-01-28 09:14:31	ga_ls5t_ard_3-0-0_091077_2010-01-27_final
2010-05-14 09:49:57	ga_ls5t_ard_3-0-0_097073_2010-05-14_final
2010-08-20 09:34:43	ga_ls5t_ard_3-0-0_095067_2010-08-20_final
2010-11-24 09:38:12	ga_ls5t_ard_3-0-0_095077_2010-11-24_final
2011-01-03 10:25:46	ga_ls5t_ard_3-0-0_103072_2011-01-03_final
2011-02-25 10:47:33	ga_ls5t_ard_3-0-0_106080_2011-02-25_final
2011-05-17 09:48:43	ga_ls5t_ard_3-0-0_097073_2011-05-17_final
2011-10-14 09:14:30	ga_ls5t_ard_3-0-0_091084_2011-10-13_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