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

49 results

Time (local)	Label
1987-07-31 08:59:25	ga_ls5t_ard_3-0-0_092087_1987-07-30_final
1988-09-25 10:03:56	ga_ls5t_ard_3-0-0_102081_1988-09-25_final
1988-12-22 09:16:07	ga_ls5t_ard_3-0-0_094086_1988-12-21_final
1990-03-04 11:01:46	ga_ls5t_ard_3-0-0_113080_1990-03-04_final
1990-05-11 10:33:58	ga_ls5t_ard_3-0-0_109074_1990-05-11_final
1991-02-18 08:39:35	ga_ls5t_ard_3-0-0_090080_1991-02-17_final
1991-02-25 10:25:11	ga_ls5t_ard_3-0-0_107081_1991-02-25_final
1991-05-04 10:01:42	ga_ls5t_ard_3-0-0_103081_1991-05-04_final
1991-06-28 08:30:37	ga_ls5t_ard_3-1-0_088083_1991-06-27_final
1991-09-05 08:46:40	ga_ls5t_ard_3-1-0_091075_1991-09-04_final
1991-11-05 09:57:25	ga_ls5t_ard_3-0-0_102081_1991-11-05_final
1992-04-07 08:55:51	ga_ls5t_ard_3-0-0_092082_1992-04-06_final
1992-08-31 10:20:17	ga_ls5t_ard_3-0-0_106081_1992-08-31_final
1993-10-19 08:56:01	ga_ls5t_ard_3-0-0_092087_1993-10-18_final
1993-11-11 10:35:43	ga_ls5t_ard_3-0-0_109074_1993-11-11_final
1994-12-14 09:00:30	ga_ls5t_ard_3-0-0_095073_1994-12-13_final
1995-03-29 08:55:29	ga_ls5t_ard_3-0-0_094086_1995-03-28_final
1995-06-24 10:30:41	ga_ls5t_ard_3-1-0_111071_1995-06-24_final
1995-07-31 09:07:52	ga_ls5t_ard_3-0-0_098069_1995-07-30_final
1995-11-12 09:57:25	ga_ls5t_ard_3-0-0_106081_1995-11-12_final
1996-04-09 08:44:57	ga_ls5t_ard_3-0-0_093077_1996-04-08_final
1996-09-19 09:27:16	ga_ls5t_ard_3-0-0_098083_1996-09-18_final
1996-12-12 10:44:46	ga_ls5t_ard_3-0-0_110081_1996-12-12_final
1997-03-22 10:24:24	ga_ls5t_ard_3-0-0_106081_1997-03-22_final
1997-04-01 11:02:40	ga_ls5t_ard_3-0-0_112083_1997-04-01_final
1997-09-24 11:07:43	ga_ls5t_ard_3-0-0_112081_1997-09-24_final
1997-10-07 10:37:11	ga_ls5t_ard_3-0-0_107081_1997-10-07_final
1998-02-28 10:40:30	ga_ls5t_ard_3-0-0_107081_1998-02-28_final
1998-03-29 10:10:01	ga_ls5t_ard_3-0-0_102081_1998-03-29_final
1998-04-02 09:46:32	ga_ls5t_ard_3-0-0_098084_1998-04-02_final
1998-05-30 10:22:53	ga_ls5t_ard_3-0-0_104080_1998-05-30_final
1998-11-04 10:36:52	ga_ls5t_ard_3-0-0_106081_1998-11-04_final
1998-12-29 10:43:15	ga_ls5t_ard_3-0-0_107081_1998-12-29_final
1999-01-14 10:43:08	ga_ls5t_ard_3-0-0_107081_1999-01-14_final
1999-10-29 10:40:29	ga_ls5t_ard_3-0-0_107081_1999-10-29_final
2003-10-21 10:11:14	ga_ls5t_ard_3-0-0_102081_2003-10-21_final
2004-03-11 10:22:17	ga_ls5t_ard_3-0-0_104075_2004-03-11_final
2004-03-13 10:12:20	ga_ls5t_ard_3-0-0_102081_2004-03-13_final
2004-03-23 10:45:28	ga_ls5t_ard_3-0-0_108071_2004-03-23_final
2004-07-06 10:46:13	ga_ls5t_ard_3-0-0_107081_2004-07-06_final
2005-01-30 10:50:27	ga_ls5t_ard_3-0-0_107081_2005-01-30_final
2005-07-25 10:52:01	ga_ls5t_ard_3-0-0_107081_2005-07-25_final
2007-02-21 10:59:08	ga_ls5t_ard_3-0-0_107081_2007-02-21_final
2007-03-02 09:17:39	ga_ls5t_ard_3-1-0_090090_2007-03-01_final
2007-03-05 09:46:33	ga_ls5t_ard_3-0-0_095085_2007-03-05_final
2007-06-18 11:17:05	ga_ls5t_ard_3-0-0_110082_2007-06-18_final
2008-01-19 09:40:39	ga_ls5t_ard_3-0-0_095080_2008-01-19_final
2009-02-27 09:50:42	ga_ls5t_ard_3-0-0_098071_2009-02-27_final
2011-02-22 10:14:16	ga_ls5t_ard_3-0-0_101074_2011-02-22_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