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
1987-07-16 09:40:41	ga_ls5t_ard_3-0-0_099083_1987-07-16_final
1987-07-20 09:09:39	ga_ls5t_ard_3-0-0_095067_1987-07-19_final
1987-07-31 08:57:50	ga_ls5t_ard_3-0-0_092083_1987-07-30_final
1988-01-25 10:22:26	ga_ls5t_ard_3-0-0_106069_1988-01-25_final
1988-04-30 08:52:53	ga_ls5t_ard_3-1-0_090090_1988-04-29_final
1988-05-06 09:47:12	ga_ls5t_ard_3-0-0_100071_1988-05-06_final
1988-06-01 08:50:00	ga_ls5t_ard_3-0-0_090082_1988-05-31_final
1989-11-10 09:33:58	ga_ls5t_ard_3-1-0_099068_1989-11-10_final
1990-02-22 08:47:46	ga_ls5t_ard_3-0-0_091084_1990-02-21_final
1990-04-30 09:10:41	ga_ls5t_ard_3-0-0_096067_1990-04-29_final
1990-07-15 09:40:36	ga_ls5t_ard_3-0-0_100080_1990-07-15_final
1990-08-04 10:54:39	ga_ls5t_ard_3-0-0_112080_1990-08-04_final
1990-10-03 09:38:53	ga_ls5t_ard_3-0-0_100077_1990-10-03_final
1991-01-13 08:58:24	ga_ls5t_ard_3-0-0_094067_1991-01-12_final
1991-05-28 10:51:07	ga_ls5t_ard_3-0-0_111080_1991-05-28_final
1991-06-25 09:36:10	ga_ls5t_ard_3-0-0_099077_1991-06-25_final
1991-11-29 09:02:36	ga_ls5t_ard_3-0-0_094067_1991-11-28_final
1992-02-29 09:28:43	ga_ls5t_ard_3-0-0_098071_1992-02-28_final
1992-03-20 09:02:25	ga_ls5t_ard_3-0-0_094067_1992-03-19_final
1992-04-28 10:53:07	ga_ls5t_ard_3-0-0_111082_1992-04-28_final
1992-11-15 08:59:15	ga_ls5t_ard_3-0-0_094067_1992-11-14_final
1992-12-28 08:48:41	ga_ls5t_ard_3-0-0_091086_1992-12-27_final
1993-10-25 09:52:36	ga_ls5t_ard_3-0-0_102074_1993-10-25_final
1993-12-03 10:00:55	ga_ls5t_ard_3-0-0_103080_1993-12-03_final
1994-05-24 08:42:15	ga_ls5t_ard_3-1-0_091075_1994-05-23_final
1994-11-05 08:53:10	ga_ls5t_ard_3-0-0_094067_1994-11-04_final
1994-12-07 08:52:08	ga_ls5t_ard_3-0-0_094067_1994-12-06_final
1994-12-13 09:59:45	ga_ls5t_ard_3-0-0_104082_1994-12-13_final
1995-05-23 08:51:41	ga_ls5t_ard_3-0-0_095067_1995-05-22_final
1995-11-24 08:45:32	ga_ls5t_ard_3-0-0_094086_1995-11-23_final
1996-02-16 08:24:35	ga_ls5t_ard_3-0-0_090081_1996-02-15_final
1996-07-14 08:53:56	ga_ls5t_ard_3-0-0_093086_1996-07-13_final
1996-11-26 10:41:36	ga_ls5t_ard_3-0-0_110075_1996-11-26_final
1997-03-06 10:19:00	ga_ls5t_ard_3-0-0_106069_1997-03-06_final
2003-07-28 09:52:34	ga_ls5t_ard_3-0-0_099084_2003-07-28_final
2004-04-26 10:38:46	ga_ls5t_ard_3-1-0_106083_2004-04-26_final
2004-08-28 09:21:35	ga_ls5t_ard_3-0-0_094067_2004-08-27_final
2004-10-29 09:38:10	ga_ls5t_ard_3-0-0_096074_2004-10-29_final
2004-11-10 10:04:18	ga_ls5t_ard_3-0-0_100077_2004-11-10_final
2004-11-16 09:23:17	ga_ls5t_ard_3-0-0_094067_2004-11-15_final
2005-09-03 11:40:31	ga_ls5t_ard_3-0-0_115078_2005-09-03_final
2005-11-10 09:39:51	ga_ls5t_ard_3-0-0_095085_2005-11-10_final
2006-12-11 10:08:10	ga_ls5t_ard_3-0-0_099078_2006-12-11_final
2007-06-18 11:16:41	ga_ls5t_ard_3-0-0_110081_2007-06-18_final
2007-06-29 10:55:08	ga_ls5t_ard_3-0-0_107074_2007-06-29_final
2008-02-23 10:10:56	ga_ls5t_ard_3-0-0_100080_2008-02-23_final
2008-03-16 09:28:14	ga_ls5t_ard_3-0-0_094067_2008-03-15_final
2008-10-10 09:22:30	ga_ls5t_ard_3-0-0_094067_2008-10-09_final
2008-12-29 09:22:51	ga_ls5t_ard_3-0-0_094067_2008-12-28_final
2009-02-15 09:24:06	ga_ls5t_ard_3-0-0_094067_2009-02-14_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