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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

51 results

Time (local)	Label
1987-11-15 10:19:52	ga_ls5t_ard_3-0-0_105081_1987-11-15_final
1987-12-23 09:42:34	ga_ls5t_ard_3-1-0_099079_1987-12-23_final
1988-01-18 10:21:43	ga_ls5t_ard_3-1-0_105083_1988-01-18_final
1988-05-16 08:49:29	ga_ls5t_ard_3-0-0_090081_1988-05-15_final
1988-09-05 10:28:46	ga_ls5t_ard_3-0-0_106081_1988-09-05_final
1989-02-03 10:34:12	ga_ls5t_ard_3-0-0_107081_1989-02-03_final
1989-08-23 10:24:31	ga_ls5t_ard_3-0-0_106081_1989-08-23_final
1990-05-13 08:48:20	ga_ls5t_ard_3-0-0_091088_1990-05-12_final
1990-07-09 10:18:06	ga_ls5t_ard_3-0-0_106081_1990-07-09_final
1990-08-30 09:53:07	ga_ls5t_ard_3-0-0_102081_1990-08-30_final
1991-01-24 10:24:38	ga_ls5t_ard_3-0-0_107081_1991-01-24_final
1991-07-12 10:21:11	ga_ls5t_ard_3-0-0_106081_1991-07-12_final
1991-09-05 10:27:57	ga_ls5t_ard_3-0-0_107081_1991-09-05_final
1992-02-10 10:37:54	ga_ls5t_ard_3-0-0_109074_1992-02-10_final
1992-02-12 10:28:17	ga_ls5t_ard_3-0-0_107081_1992-02-12_final
1992-03-01 08:36:17	ga_ls5t_ard_3-0-0_089079_1992-02-29_final
1992-07-17 09:14:35	ga_ls5t_ard_3-0-0_095085_1992-07-16_final
1992-08-15 10:20:32	ga_ls5t_ard_3-0-0_106081_1992-08-15_final
1993-10-31 10:58:21	ga_ls5t_ard_3-0-0_112084_1993-10-31_final
1994-01-20 10:01:08	ga_ls5t_ard_3-0-0_103082_1994-01-20_final
1994-09-06 10:14:46	ga_ls5t_ard_3-0-0_106081_1994-09-06_final
1995-04-02 10:07:29	ga_ls5t_ard_3-0-0_106081_1995-04-02_final
1995-04-22 09:41:55	ga_ls5t_ard_3-0-0_102081_1995-04-22_final
1995-06-12 10:10:29	ga_ls5t_ard_3-0-0_107081_1995-06-12_final
1995-11-12 09:55:49	ga_ls5t_ard_3-0-0_106077_1995-11-12_final
1995-11-20 09:05:21	ga_ls5t_ard_3-0-0_098074_1995-11-19_final
1996-06-01 10:45:30	ga_ls5t_ard_3-0-0_112077_1996-06-01_final
1996-08-06 09:00:33	ga_ls5t_ard_3-0-0_094084_1996-08-05_final
1996-10-19 09:37:36	ga_ls5t_ard_3-0-0_100074_1996-10-19_final
1997-02-17 11:16:20	ga_ls5t_ard_3-1-0_115075_1997-02-17_final
1997-05-28 09:20:48	ga_ls5t_ard_3-0-0_095086_1997-05-27_final
1997-07-28 10:28:52	ga_ls5t_ard_3-0-0_106081_1997-07-28_final
1997-09-10 09:18:04	ga_ls5t_ard_3-0-0_094086_1997-09-09_final
1998-01-24 10:08:55	ga_ls5t_ard_3-0-0_102081_1998-01-24_final
1998-11-11 10:43:09	ga_ls5t_ard_3-0-0_107081_1998-11-11_final
1999-06-07 10:42:09	ga_ls5t_ard_3-0-0_107081_1999-06-07_final
1999-07-30 09:23:31	ga_ls5t_ard_3-0-0_094086_1999-07-29_final
1999-11-10 09:27:31	ga_ls5t_ard_3-0-0_095085_1999-11-09_final
2003-07-04 10:40:23	ga_ls5t_ard_3-0-0_107081_2003-07-04_final
2003-07-19 09:53:23	ga_ls5t_ard_3-0-0_100071_2003-07-19_final
2003-08-21 10:41:13	ga_ls5t_ard_3-0-0_107081_2003-08-21_final
2004-02-29 10:43:09	ga_ls5t_ard_3-0-0_107081_2004-02-29_final
2004-05-12 10:38:26	ga_ls5t_ard_3-1-0_106081_2004-05-12_final
2004-08-03 09:34:18	ga_ls5t_ard_3-0-0_095085_2004-08-03_final
2004-11-05 11:24:58	ga_ls5t_ard_3-0-0_113078_2004-11-05_final
2005-01-30 10:50:52	ga_ls5t_ard_3-0-0_107082_2005-01-30_final
2005-06-17 09:49:31	ga_ls5t_ard_3-0-0_097080_2005-06-17_final
2006-07-28 10:57:21	ga_ls5t_ard_3-0-0_107081_2006-07-28_final
2006-08-29 10:57:45	ga_ls5t_ard_3-0-0_107081_2006-08-29_final
2008-12-24 09:07:22	ga_ls5t_ard_3-1-0_091075_2008-12-23_final
2010-10-03 10:00:00	ga_ls5t_ard_3-1-0_099069_2010-10-03_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