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

53 results

Time (local)	Label
1986-08-26 10:00:40	ga_ls5t_ard_3-0-0_103081_1986-08-26_final
1987-10-21 08:48:39	ga_ls5t_ard_3-0-0_090086_1987-10-20_final
1988-02-23 09:57:12	ga_ls5t_ard_3-0-0_101082_1988-02-23_final
1988-03-28 09:43:09	ga_ls5t_ard_3-0-0_099077_1988-03-28_final
1989-02-09 09:53:05	ga_ls5t_ard_3-0-0_101071_1989-02-09_final
1989-04-18 09:26:34	ga_ls5t_ard_3-1-0_097069_1989-04-17_final
1989-08-14 08:54:48	ga_ls5t_ard_3-0-0_091088_1989-08-13_final
1989-08-15 11:12:56	ga_ls5t_ard_3-0-0_114078_1989-08-15_final
1990-04-25 10:33:57	ga_ls5t_ard_3-0-0_109074_1990-04-25_final
1990-10-27 08:53:21	ga_ls5t_ard_3-0-0_092087_1990-10-26_final
1991-07-19 08:51:02	ga_ls5t_ard_3-0-0_091087_1991-07-18_final
1991-08-22 10:12:59	ga_ls5t_ard_3-0-0_105075_1991-08-22_final
1991-09-08 09:21:12	ga_ls5t_ard_3-0-0_096084_1991-09-07_final
1991-10-26 10:53:36	ga_ls5t_ard_3-1-0_112067_1991-10-26_final
1992-05-19 09:26:36	ga_ls5t_ard_3-1-0_098067_1992-05-18_final
1992-09-12 10:42:27	ga_ls5t_ard_3-0-0_110075_1992-09-12_final
1993-08-30 10:42:40	ga_ls5t_ard_3-0-0_110075_1993-08-30_final
1993-09-19 10:15:07	ga_ls5t_ard_3-0-0_106068_1993-09-19_final
1993-10-13 09:26:46	ga_ls5t_ard_3-0-0_098071_1993-10-12_final
1994-03-12 10:26:59	ga_ls5t_ard_3-0-0_108071_1994-03-12_final
1994-04-14 09:31:12	ga_ls5t_ard_3-0-0_099072_1994-04-14_final
1994-09-03 09:43:57	ga_ls5t_ard_3-0-0_101081_1994-09-03_final
1994-09-04 08:45:54	ga_ls5t_ard_3-0-0_092075_1994-09-03_final
1995-09-25 08:20:33	ga_ls5t_ard_3-0-0_090081_1995-09-24_final
1996-04-03 09:21:40	ga_ls5t_ard_3-0-0_099077_1996-04-02_final
1996-07-15 09:34:04	ga_ls5t_ard_3-0-0_100078_1996-07-15_final
1997-02-04 08:31:18	ga_ls5t_ard_3-1-0_088081_1997-02-03_final
1997-08-01 10:04:17	ga_ls5t_ard_3-0-0_102081_1997-08-01_final
1997-11-10 08:45:38	ga_ls5t_ard_3-0-0_089078_1997-11-09_final
1997-11-29 10:54:16	ga_ls5t_ard_3-0-0_110074_1997-11-29_final
1998-08-23 08:58:39	ga_ls5t_ard_3-1-0_091068_1998-08-22_final
1998-11-26 09:57:55	ga_ls5t_ard_3-0-0_100076_1998-11-26_final
1999-08-02 09:51:14	ga_ls5t_ard_3-0-0_099078_1999-08-02_final
1999-08-18 09:48:41	ga_ls5t_ard_3-0-0_099072_1999-08-18_final
2003-08-26 10:57:04	ga_ls5t_ard_3-1-0_110074_2003-08-26_final
2003-09-09 11:09:40	ga_ls5t_ard_3-0-0_112074_2003-09-09_final
2003-09-27 10:57:57	ga_ls5t_ard_3-0-0_110075_2003-09-27_final
2003-10-07 09:57:29	ga_ls5t_ard_3-0-0_100078_2003-10-07_final
2003-10-08 09:06:40	ga_ls5t_ard_3-0-0_091090_2003-10-07_final
2003-11-26 11:20:18	ga_ls5t_ard_3-1-0_114067_2003-11-26_final
2005-01-30 10:50:52	ga_ls5t_ard_3-0-0_107082_2005-01-30_final
2005-03-27 11:39:27	ga_ls5t_ard_3-0-0_115078_2005-03-27_final
2005-09-16 09:33:33	ga_ls5t_ard_3-0-0_094085_2005-09-16_final
2006-05-06 10:20:04	ga_ls5t_ard_3-0-0_102068_2006-05-06_final
2006-06-24 11:07:15	ga_ls5t_ard_3-0-0_109076_2006-06-24_final
2007-03-14 11:14:51	ga_ls5t_ard_3-0-0_110074_2007-03-14_final
2008-11-04 11:00:20	ga_ls5t_ard_3-0-0_109082_2008-11-04_final
2008-12-21 10:12:52	ga_ls5t_ard_3-0-0_102069_2008-12-21_final
2009-01-24 10:04:36	ga_ls5t_ard_3-0-0_100077_2009-01-24_final
2009-03-10 09:33:13	ga_ls5t_ard_3-0-0_095073_2009-03-10_final
2009-07-07 11:20:59	ga_ls5t_ard_3-0-0_112074_2009-07-07_final
2009-10-10 10:39:27	ga_ls5t_ard_3-0-0_105075_2009-10-10_final
2009-10-21 10:18:37	ga_ls5t_ard_3-0-0_102069_2009-10-21_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years