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

50 results

Time (local)	Label
1988-02-17 08:57:43	ga_ls5t_ard_3-0-0_091088_1988-02-16_final
1988-10-14 10:31:55	ga_ls5t_ard_3-0-0_107074_1988-10-14_final
1988-10-30 10:32:20	ga_ls5t_ard_3-0-0_107075_1988-10-30_final
1988-11-01 10:23:12	ga_ls5t_ard_3-1-0_105083_1988-11-01_final
1988-12-10 08:48:19	ga_ls5t_ard_3-0-0_090078_1988-12-09_final
1989-08-15 09:36:03	ga_ls5t_ard_3-0-0_098083_1989-08-15_final
1989-10-14 09:58:28	ga_ls5t_ard_3-1-0_102081_1989-10-14_final
1990-05-13 10:24:01	ga_ls5t_ard_3-0-0_107080_1990-05-13_final
1991-02-22 09:54:13	ga_ls5t_ard_3-0-0_102081_1991-02-22_final
1991-07-03 08:52:03	ga_ls5t_ard_3-0-0_091090_1991-07-02_final
1991-09-29 09:37:52	ga_ls5t_ard_3-0-0_099079_1991-09-29_final
1991-10-20 09:57:25	ga_ls5t_ard_3-0-0_102081_1991-10-20_final
1991-11-01 10:17:42	ga_ls5t_ard_3-0-0_106070_1991-11-01_final
1992-01-29 08:36:27	ga_ls5t_ard_3-0-0_089079_1992-01-28_final
1992-07-10 09:09:16	ga_ls5t_ard_3-0-0_094087_1992-07-09_final
1993-01-28 09:40:40	ga_ls5t_ard_3-0-0_100076_1993-01-28_final
1993-02-28 10:35:45	ga_ls5t_ard_3-0-0_109074_1993-02-28_final
1993-04-11 09:35:24	ga_ls5t_ard_3-0-0_099077_1993-04-11_final
1993-05-05 08:45:19	ga_ls5t_ard_3-1-0_091075_1993-05-04_final
1993-05-14 10:15:16	ga_ls5t_ard_3-0-0_106068_1993-05-14_final
1993-07-08 10:24:09	ga_ls5t_ard_3-0-0_107075_1993-07-08_final
1994-01-12 10:46:44	ga_ls5t_ard_3-0-0_111072_1994-01-12_final
1994-04-01 10:02:46	ga_ls5t_ard_3-0-0_104073_1994-04-01_final
1994-11-29 09:47:24	ga_ls5t_ard_3-0-0_102081_1994-11-29_final
1996-05-20 08:45:12	ga_ls5t_ard_3-0-0_092087_1996-05-19_final
1996-07-18 10:04:20	ga_ls5t_ard_3-0-0_105076_1996-07-18_final
1998-01-23 11:01:19	ga_ls5t_ard_3-1-0_111073_1998-01-23_final
1998-03-24 09:47:03	ga_ls5t_ard_3-0-0_099070_1998-03-24_final
1998-09-07 09:58:24	ga_ls5t_ard_3-0-0_100078_1998-09-07_final
1999-06-15 09:51:29	ga_ls5t_ard_3-0-0_099078_1999-06-15_final
2003-10-01 08:55:11	ga_ls5t_ard_3-0-0_090077_2003-09-30_final
2003-12-23 11:04:46	ga_ls5t_ard_3-0-0_111074_2003-12-23_final
2004-01-03 09:12:36	ga_ls5t_ard_3-0-0_092087_2004-01-02_final
2004-08-21 10:57:17	ga_ls5t_ard_3-0-0_109075_2004-08-21_final
2004-08-31 09:57:21	ga_ls5t_ard_3-0-0_099079_2004-08-31_final
2004-10-01 09:12:51	ga_ls5t_ard_3-1-0_092074_2004-09-30_final
2004-10-29 09:41:21	ga_ls5t_ard_3-0-0_096082_2004-10-29_final
2005-05-20 11:05:03	ga_ls5t_ard_3-0-0_109084_2005-05-20_final
2006-02-17 10:12:16	ga_ls5t_ard_3-0-0_100083_2006-02-17_final
2006-06-06 09:36:51	ga_ls5t_ard_3-0-0_095067_2006-06-06_final
2006-06-11 09:56:40	ga_ls5t_ard_3-0-0_098070_2006-06-11_final
2006-06-12 10:42:20	ga_ls5t_ard_3-0-0_105076_2006-06-12_final
2006-07-13 10:00:20	ga_ls5t_ard_3-0-0_098078_2006-07-13_final
2006-12-27 10:05:05	ga_ls5t_ard_3-0-0_099070_2006-12-27_final
2007-01-14 11:33:20	ga_ls5t_ard_3-0-0_113074_2007-01-14_final
2007-02-28 11:03:42	ga_ls5t_ard_3-0-0_108077_2007-02-28_final
2008-05-23 10:41:06	ga_ls5t_ard_3-0-0_106068_2008-05-23_final
2009-11-08 10:09:36	ga_ls5t_ard_3-0-0_100077_2009-11-08_final
2010-02-05 10:00:24	ga_ls5t_ard_3-0-0_099068_2010-02-05_final
2011-02-08 10:03:05	ga_ls5t_ard_3-0-0_099077_2011-02-08_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