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

48 results

Time (local)	Label
1988-02-25 09:43:39	ga_ls5t_ard_3-0-0_099079_1988-02-25_final
1988-06-16 09:41:42	ga_ls5t_ard_3-0-0_099072_1988-06-16_final
1988-07-10 10:35:38	ga_ls5t_ard_3-0-0_107083_1988-07-10_final
1989-01-11 10:28:36	ga_ls5t_ard_3-0-0_106082_1989-01-11_final
1990-05-25 10:45:51	ga_ls5t_ard_3-0-0_111073_1990-05-25_final
1990-06-15 09:29:29	ga_ls5t_ard_3-0-0_098083_1990-06-14_final
1990-07-08 09:33:39	ga_ls5t_ard_3-1-0_099078_1990-07-08_final
1990-07-24 09:31:35	ga_ls5t_ard_3-0-0_099073_1990-07-24_final
1990-10-29 08:41:21	ga_ls5t_ard_3-0-0_090088_1990-10-28_final
1991-04-26 10:51:44	ga_ls5t_ard_3-0-0_111083_1991-04-26_final
1991-05-19 09:13:04	ga_ls5t_ard_3-0-0_096067_1991-05-18_final
1992-08-06 08:45:36	ga_ls5t_ard_3-1-0_091075_1992-08-05_final
1993-06-28 09:49:31	ga_ls5t_ard_3-0-0_101081_1993-06-28_final
1993-08-12 10:57:03	ga_ls5t_ard_3-0-0_112080_1993-08-12_final
1993-12-25 09:20:04	ga_ls5t_ard_3-0-0_097071_1993-12-24_final
1993-12-31 10:21:23	ga_ls5t_ard_3-0-0_107070_1993-12-31_final
1994-11-18 08:27:48	ga_ls5t_ard_3-0-0_089082_1994-11-17_final
1994-12-14 09:00:30	ga_ls5t_ard_3-0-0_095073_1994-12-13_final
1995-04-14 08:47:14	ga_ls5t_ard_3-0-0_094067_1995-04-13_final
1995-12-13 09:11:12	ga_ls5t_ard_3-0-0_099070_1995-12-12_final
1995-12-26 08:40:04	ga_ls5t_ard_3-0-0_094067_1995-12-25_final
1996-10-11 08:52:08	ga_ls5t_ard_3-0-0_092085_1996-10-10_final
1997-06-01 08:53:26	ga_ls5t_ard_3-0-0_091079_1997-05-31_final
1997-11-05 10:07:03	ga_ls5t_ard_3-0-0_102081_1997-11-05_final
1998-02-20 09:47:21	ga_ls5t_ard_3-0-0_099072_1998-02-20_final
1998-11-15 10:18:52	ga_ls5t_ard_3-0-0_103082_1998-11-15_final
1998-12-16 11:15:13	ga_ls5t_ard_3-0-0_112084_1998-12-16_final
1999-01-12 09:19:02	ga_ls5t_ard_3-0-0_093087_1999-01-11_final
1999-03-15 09:23:26	ga_ls5t_ard_3-0-0_095067_1999-03-14_final
1999-03-21 10:25:56	ga_ls5t_ard_3-0-0_105069_1999-03-21_final
1999-10-18 09:14:49	ga_ls5t_ard_3-0-0_094067_1999-10-17_final
1999-10-27 09:15:38	ga_ls5t_ard_3-0-0_093085_1999-10-26_final
2003-12-28 09:42:28	ga_ls5t_ard_3-0-0_098069_2003-12-28_final
2004-04-04 11:08:48	ga_ls5t_ard_3-1-0_112067_2004-04-04_final
2004-12-18 09:23:58	ga_ls5t_ard_3-0-0_094067_2004-12-17_final
2005-08-24 09:27:43	ga_ls5t_ard_3-0-0_093086_2005-08-23_final
2005-10-14 09:57:46	ga_ls5t_ard_3-0-0_098084_2005-10-14_final
2007-05-01 09:32:54	ga_ls5t_ard_3-0-0_094067_2007-05-01_final
2007-06-12 10:13:24	ga_ls5t_ard_3-0-0_100077_2007-06-12_final
2007-08-07 09:27:43	ga_ls5t_ard_3-0-0_092088_2007-08-06_final
2008-01-28 09:29:07	ga_ls5t_ard_3-0-0_094067_2008-01-27_final
2008-11-14 11:36:02	ga_ls5t_ard_3-0-0_115079_2008-11-14_final
2008-11-15 09:03:09	ga_ls5t_ard_3-0-0_090083_2008-11-14_final
2009-10-06 11:03:44	ga_ls5t_ard_3-0-0_109074_2009-10-06_final
2009-11-14 09:28:35	ga_ls5t_ard_3-0-0_094067_2009-11-13_final
2010-01-17 09:29:02	ga_ls5t_ard_3-0-0_094067_2010-01-16_final
2010-03-24 09:20:00	ga_ls5t_ard_3-1-0_092075_2010-03-23_final
2010-11-28 09:17:52	ga_ls5t_ard_3-0-0_091088_2010-11-27_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