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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

42 results

Time (local)	Label
1987-12-18 11:04:50	ga_ls5t_ard_3-0-0_112084_1987-12-18_final
1987-12-20 09:09:38	ga_ls5t_ard_3-0-0_094074_1987-12-19_final
1987-12-30 09:50:53	ga_ls5t_ard_3-0-0_100084_1987-12-30_final
1988-03-03 09:49:30	ga_ls5t_ard_3-0-0_100078_1988-03-03_final
1988-05-09 08:44:26	ga_ls5t_ard_3-0-0_089084_1988-05-08_final
1988-05-15 09:41:06	ga_ls5t_ard_3-0-0_099071_1988-05-15_final
1988-10-15 09:40:18	ga_ls5t_ard_3-0-0_098084_1988-10-15_final
1988-11-25 09:29:46	ga_ls5t_ard_3-0-0_097073_1988-11-24_final
1989-04-26 08:43:21	ga_ls5t_ard_3-0-0_089085_1989-04-25_final
1989-04-30 09:51:53	ga_ls5t_ard_3-0-0_101071_1989-04-30_final
1989-10-09 09:35:25	ga_ls5t_ard_3-0-0_099069_1989-10-09_final
1990-03-04 09:22:05	ga_ls5t_ard_3-0-0_097078_1990-03-03_final
1990-05-09 10:45:54	ga_ls5t_ard_3-0-0_111073_1990-05-09_final
1990-05-26 09:49:02	ga_ls5t_ard_3-0-0_102070_1990-05-26_final
1990-07-17 09:29:49	ga_ls5t_ard_3-1-0_098084_1990-07-16_final
1991-04-05 10:28:01	ga_ls5t_ard_3-0-0_108071_1991-04-05_final
1992-01-20 10:17:27	ga_ls5t_ard_3-0-0_106069_1992-01-20_final
1992-07-13 09:36:57	ga_ls5t_ard_3-0-0_099079_1992-07-13_final
1992-12-11 09:38:10	ga_ls5t_ard_3-0-0_100071_1992-12-11_final
1993-12-01 10:12:53	ga_ls5t_ard_3-0-0_105079_1993-12-01_final
1994-01-28 10:47:20	ga_ls5t_ard_3-0-0_111074_1994-01-28_final
1994-12-28 10:51:41	ga_ls5t_ard_3-0-0_113074_1994-12-28_final
1995-02-15 09:51:47	ga_ls5t_ard_3-0-0_104068_1995-02-15_final
1996-01-02 08:49:32	ga_ls5t_ard_3-0-0_095074_1996-01-01_final
1996-07-24 11:07:16	ga_ls5t_ard_3-0-0_115078_1996-07-24_final
1997-11-25 09:43:59	ga_ls5t_ard_3-0-0_098084_1997-11-25_final
1998-04-19 08:50:45	ga_ls5t_ard_3-0-0_089083_1998-04-18_final
1998-06-10 10:05:18	ga_ls5t_ard_3-0-0_101082_1998-06-10_final
1999-05-14 09:49:38	ga_ls5t_ard_3-0-0_099072_1999-05-14_final
1999-06-11 10:17:24	ga_ls5t_ard_3-0-0_103081_1999-06-11_final
2004-03-13 10:10:44	ga_ls5t_ard_3-0-0_102077_2004-03-13_final
2004-07-23 09:47:03	ga_ls5t_ard_3-0-0_098071_2004-07-23_final
2004-07-30 09:54:34	ga_ls5t_ard_3-1-0_099074_2004-07-30_final
2004-10-02 09:55:20	ga_ls5t_ard_3-0-0_099072_2004-10-02_final
2004-11-28 09:49:29	ga_ls5t_ard_3-0-0_098070_2004-11-28_final
2006-11-18 10:02:35	ga_ls5t_ard_3-0-0_098080_2006-11-18_final
2007-09-18 10:00:25	ga_ls5t_ard_3-0-0_098078_2007-09-18_final
2008-11-30 11:34:58	ga_ls5t_ard_3-0-0_115075_2008-11-30_final
2008-12-06 10:59:40	ga_ls5t_ard_3-0-0_109079_2008-12-06_final
2009-03-29 10:06:57	ga_ls5t_ard_3-0-0_100079_2009-03-29_final
2009-09-07 09:58:11	ga_ls5t_ard_3-0-0_098081_2009-09-07_final
2010-02-14 10:01:02	ga_ls5t_ard_3-0-0_098085_2010-02-14_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