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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

67 results

Time (local)	Label
1987-05-21 10:28:07	ga_ls5t_ard_3-0-0_107081_1987-05-21_final
1987-11-09 09:19:32	ga_ls5t_ard_3-0-0_095085_1987-11-08_final
1987-12-11 10:53:21	ga_ls5t_ard_3-1-0_111071_1987-12-11_final
1988-02-06 09:15:17	ga_ls5t_ard_3-0-0_094086_1988-02-05_final
1988-06-08 10:34:41	ga_ls5t_ard_3-0-0_107081_1988-06-08_final
1988-06-24 10:34:46	ga_ls5t_ard_3-0-0_107081_1988-06-24_final
1989-05-23 10:01:40	ga_ls5t_ard_3-0-0_102081_1989-05-23_final
1989-06-27 10:31:53	ga_ls5t_ard_3-0-0_107081_1989-06-27_final
1989-08-30 10:30:34	ga_ls5t_ard_3-0-0_107081_1989-08-30_final
1989-09-02 10:59:00	ga_ls5t_ard_3-0-0_112075_1989-09-02_final
1990-02-14 11:12:44	ga_ls5t_ard_3-0-0_115075_1990-02-14_final
1990-03-03 10:18:56	ga_ls5t_ard_3-0-0_106081_1990-03-03_final
1990-06-28 08:59:23	ga_ls5t_ard_3-0-0_093085_1990-06-27_final
1990-10-20 08:47:36	ga_ls5t_ard_3-0-0_091088_1990-10-19_final
1990-11-21 08:45:54	ga_ls5t_ard_3-0-0_091084_1990-11-20_final
1991-05-27 08:29:22	ga_ls5t_ard_3-1-0_088081_1991-05-26_final
1991-06-10 10:20:46	ga_ls5t_ard_3-0-0_106081_1991-06-10_final
1991-11-24 10:28:24	ga_ls5t_ard_3-0-0_107081_1991-11-24_final
1992-01-11 10:28:23	ga_ls5t_ard_3-0-0_107081_1992-01-11_final
1993-01-09 09:13:09	ga_ls5t_ard_3-0-0_095085_1993-01-08_final
1993-02-27 09:55:16	ga_ls5t_ard_3-0-0_102081_1993-02-27_final
1993-04-15 09:13:55	ga_ls5t_ard_3-0-0_095085_1993-04-14_final
1993-07-20 10:47:17	ga_ls5t_ard_3-1-0_111071_1993-07-20_final
1993-07-24 10:26:32	ga_ls5t_ard_3-0-0_107081_1993-07-24_final
1993-08-30 09:07:47	ga_ls5t_ard_3-0-0_094085_1993-08-29_final
1994-01-16 10:25:32	ga_ls5t_ard_3-0-0_107081_1994-01-16_final
1994-02-10 10:19:05	ga_ls5t_ard_3-0-0_106081_1994-02-10_final
1994-09-13 10:20:46	ga_ls5t_ard_3-0-0_107081_1994-09-13_final
1994-09-29 10:20:19	ga_ls5t_ard_3-0-0_107081_1994-09-29_final
1995-01-03 10:17:11	ga_ls5t_ard_3-0-0_107081_1995-01-03_final
1995-01-28 10:10:04	ga_ls5t_ard_3-0-0_106081_1995-01-28_final
1995-06-04 09:23:00	ga_ls5t_ard_3-1-0_099085_1995-06-03_final
1995-06-15 10:38:51	ga_ls5t_ard_3-0-0_112075_1995-06-15_final
1996-02-03 08:56:11	ga_ls5t_ard_3-0-0_095085_1996-02-02_final
1996-09-07 09:03:05	ga_ls5t_ard_3-0-0_094086_1996-09-06_final
1997-01-24 10:28:14	ga_ls5t_ard_3-0-0_107081_1997-01-24_final
1997-03-25 09:18:08	ga_ls5t_ard_3-0-0_095085_1997-03-24_final
1997-04-07 10:25:00	ga_ls5t_ard_3-0-0_106081_1997-04-07_final
1997-04-19 09:13:16	ga_ls5t_ard_3-0-0_094086_1997-04-18_final
1997-05-17 09:38:08	ga_ls5t_ard_3-0-0_098084_1997-05-17_final
1998-01-04 10:33:13	ga_ls5t_ard_3-0-0_106081_1998-01-04_final
1998-01-08 10:08:35	ga_ls5t_ard_3-0-0_102081_1998-01-08_final
1998-09-17 10:36:45	ga_ls5t_ard_3-0-0_106081_1998-09-17_final
1999-04-13 10:36:42	ga_ls5t_ard_3-0-0_106081_1999-04-13_final
1999-06-10 09:35:44	ga_ls5t_ard_3-0-0_096085_1999-06-10_final
2003-10-06 09:13:48	ga_ls5t_ard_3-0-0_093077_2003-10-05_final
2003-12-24 10:11:57	ga_ls5t_ard_3-1-0_102081_2003-12-24_final
2004-04-27 11:20:51	ga_ls5t_ard_3-0-0_113080_2004-04-27_final
2004-09-01 10:39:02	ga_ls5t_ard_3-0-0_106075_2004-09-01_final
2005-01-10 11:10:55	ga_ls5t_ard_3-1-0_111071_2005-01-10_final
2005-02-25 11:25:34	ga_ls5t_ard_3-0-0_113075_2005-02-25_final
2005-06-03 09:39:03	ga_ls5t_ard_3-0-0_095085_2005-06-03_final
2005-07-02 10:45:36	ga_ls5t_ard_3-0-0_106081_2005-07-02_final
2005-07-07 09:26:52	ga_ls5t_ard_3-0-0_093085_2005-07-06_final
2005-09-16 09:34:21	ga_ls5t_ard_3-0-0_094087_2005-09-16_final
2006-08-13 10:57:33	ga_ls5t_ard_3-0-0_107081_2006-08-13_final
2006-11-01 09:22:22	ga_ls5t_ard_3-0-0_091088_2006-10-31_final
2006-11-10 09:13:28	ga_ls5t_ard_3-0-0_090081_2006-11-09_final
2006-12-28 10:52:45	ga_ls5t_ard_3-0-0_106081_2006-12-28_final
2007-01-16 09:46:29	ga_ls5t_ard_3-0-0_095085_2007-01-16_final
2007-02-17 09:46:34	ga_ls5t_ard_3-0-0_095085_2007-02-17_final
2007-05-24 09:41:13	ga_ls5t_ard_3-0-0_095073_2007-05-24_final
2007-09-01 10:57:21	ga_ls5t_ard_3-0-0_107081_2007-09-01_final
2007-09-17 10:57:14	ga_ls5t_ard_3-0-0_107081_2007-09-17_final
2008-09-22 09:40:13	ga_ls5t_ard_3-0-0_096079_2008-09-22_final
2008-11-27 11:01:58	ga_ls5t_ard_3-0-0_110070_2008-11-27_final
2008-12-25 09:54:39	ga_ls5t_ard_3-0-0_098085_2008-12-25_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