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

46 results

Time (local)	Label
1988-01-24 11:20:26	ga_ls5t_ard_3-0-0_115075_1988-01-24_final
1988-02-02 09:33:09	ga_ls5t_ard_3-0-0_098069_1988-02-02_final
1988-02-25 09:40:04	ga_ls5t_ard_3-0-0_099070_1988-02-25_final
1988-04-28 09:01:38	ga_ls5t_ard_3-0-0_092081_1988-04-27_final
1988-11-19 10:10:01	ga_ls5t_ard_3-0-0_103081_1988-11-19_final
1988-12-25 09:43:50	ga_ls5t_ard_3-0-0_099078_1988-12-25_final
1989-03-19 10:52:21	ga_ls5t_ard_3-0-0_111067_1989-03-19_final
1989-07-09 10:50:48	ga_ls5t_ard_3-0-0_111067_1989-07-09_final
1990-04-19 09:33:45	ga_ls5t_ard_3-0-0_099078_1990-04-19_final
1990-12-15 09:28:55	ga_ls5t_ard_3-0-0_099068_1990-12-14_final
1992-04-26 11:02:18	ga_ls5t_ard_3-0-0_113074_1992-04-26_final
1993-06-06 08:51:02	ga_ls5t_ard_3-0-0_091089_1993-06-05_final
1993-10-15 10:54:28	ga_ls5t_ard_3-0-0_112074_1993-10-15_final
1993-10-23 08:28:52	ga_ls5t_ard_3-1-0_088081_1993-10-22_final
1993-12-25 11:00:09	ga_ls5t_ard_3-0-0_113074_1993-12-25_final
1994-04-14 09:33:36	ga_ls5t_ard_3-0-0_099078_1994-04-14_final
1994-06-01 09:32:21	ga_ls5t_ard_3-0-0_099077_1994-06-01_final
1994-08-13 09:26:43	ga_ls5t_ard_3-0-0_098083_1994-08-12_final
1994-11-17 09:22:15	ga_ls5t_ard_3-0-0_098079_1994-11-16_final
1994-12-13 09:59:45	ga_ls5t_ard_3-0-0_104082_1994-12-13_final
1995-02-02 10:25:37	ga_ls5t_ard_3-0-0_109074_1995-02-02_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1997-07-02 09:49:18	ga_ls5t_ard_3-0-0_100077_1997-07-02_final
1997-07-27 09:40:48	ga_ls5t_ard_3-0-0_099069_1997-07-27_final
1998-01-31 10:10:04	ga_ls5t_ard_3-0-0_103068_1998-01-31_final
1998-04-29 11:02:27	ga_ls5t_ard_3-0-0_111072_1998-04-29_final
2003-08-13 09:47:38	ga_ls5t_ard_3-0-0_099071_2003-08-13_final
2003-12-11 09:05:23	ga_ls5t_ard_3-0-0_091085_2003-12-10_final
2004-02-22 10:32:57	ga_ls5t_ard_3-0-0_106071_2004-02-22_final
2004-02-28 09:56:18	ga_ls5t_ard_3-0-0_100072_2004-02-28_final
2004-11-27 10:46:40	ga_ls5t_ard_3-0-0_107074_2004-11-27_final
2005-01-13 10:04:58	ga_ls5t_ard_3-0-0_100076_2005-01-13_final
2005-01-14 10:47:27	ga_ls5t_ard_3-0-0_107074_2005-01-14_final
2005-03-30 10:33:04	ga_ls5t_ard_3-0-0_104082_2005-03-30_final
2005-06-08 09:56:50	ga_ls5t_ard_3-0-0_098083_2005-06-08_final
2005-07-06 10:20:53	ga_ls5t_ard_3-0-0_102081_2005-07-06_final
2005-11-22 09:59:17	ga_ls5t_ard_3-0-0_099071_2005-11-22_final
2006-01-25 10:03:58	ga_ls5t_ard_3-0-0_099079_2006-01-25_final
2006-09-22 10:09:24	ga_ls5t_ard_3-0-0_099083_2006-09-22_final
2006-12-20 10:02:03	ga_ls5t_ard_3-0-0_098078_2006-12-20_final
2009-05-25 10:01:27	ga_ls5t_ard_3-0-0_099078_2009-05-25_final
2010-01-13 09:54:56	ga_ls5t_ard_3-0-0_098070_2010-01-13_final
2010-07-15 10:00:50	ga_ls5t_ard_3-0-0_099070_2010-07-15_final
2010-11-02 10:15:19	ga_ls5t_ard_3-0-0_101077_2010-11-02_final
2011-04-19 11:06:13	ga_ls5t_ard_3-0-0_109081_2011-04-19_final
2011-10-31 09:57:35	ga_ls5t_ard_3-0-0_098084_2011-10-31_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