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

60 results

Time (local)	Label
1987-09-19 10:19:43	ga_ls5t_ard_3-0-0_106068_1987-09-19_final
1988-04-21 10:33:54	ga_ls5t_ard_3-0-0_107080_1988-04-21_final
1988-06-17 08:52:28	ga_ls5t_ard_3-0-0_090088_1988-06-16_final
1988-09-03 09:04:39	ga_ls5t_ard_3-0-0_092087_1988-09-02_final
1988-11-15 10:30:45	ga_ls5t_ard_3-0-0_107071_1988-11-15_final
1988-11-25 09:28:10	ga_ls5t_ard_3-0-0_097069_1988-11-24_final
1989-02-16 09:58:51	ga_ls5t_ard_3-0-0_102070_1989-02-16_final
1989-03-31 09:43:17	ga_ls5t_ard_3-0-0_099080_1989-03-31_final
1989-04-15 10:35:02	ga_ls5t_ard_3-0-0_108070_1989-04-15_final
1990-05-12 09:37:34	ga_ls5t_ard_3-0-0_100072_1990-05-12_final
1990-05-29 08:49:03	ga_ls5t_ard_3-0-0_091090_1990-05-28_final
1990-07-01 09:29:29	ga_ls5t_ard_3-0-0_098083_1990-06-30_final
1990-07-24 09:32:47	ga_ls5t_ard_3-0-0_099076_1990-07-24_final
1991-02-06 09:54:11	ga_ls5t_ard_3-0-0_102082_1991-02-06_final
1991-02-25 10:20:47	ga_ls5t_ard_3-0-0_107070_1991-02-25_final
1991-09-02 09:52:13	ga_ls5t_ard_3-0-0_102069_1991-09-02_final
1991-10-04 09:57:14	ga_ls5t_ard_3-0-0_102081_1991-10-04_final
1991-10-08 09:31:47	ga_ls5t_ard_3-0-0_098079_1991-10-08_final
1992-05-10 09:37:39	ga_ls5t_ard_3-0-0_099079_1992-05-10_final
1992-05-26 09:37:07	ga_ls5t_ard_3-0-0_099078_1992-05-26_final
1992-07-22 09:27:27	ga_ls5t_ard_3-0-0_098071_1992-07-21_final
1992-10-03 11:03:44	ga_ls5t_ard_3-0-0_113083_1992-10-03_final
1993-11-21 09:35:49	ga_ls5t_ard_3-0-0_099079_1993-11-21_final
1993-11-21 11:13:07	ga_ls5t_ard_3-0-0_115075_1993-11-21_final
1994-04-14 09:34:00	ga_ls5t_ard_3-0-0_099079_1994-04-14_final
1994-09-21 11:08:24	ga_ls5t_ard_3-0-0_115077_1994-09-21_final
1994-10-10 08:22:58	ga_ls5t_ard_3-1-0_088082_1994-10-09_final
1994-12-19 09:21:16	ga_ls5t_ard_3-0-0_098079_1994-12-18_final
1995-07-31 09:11:28	ga_ls5t_ard_3-0-0_098078_1995-07-30_final
1995-12-04 09:19:06	ga_ls5t_ard_3-0-0_100076_1995-12-03_final
1996-06-25 08:20:27	ga_ls5t_ard_3-1-0_088082_1996-06-24_final
1996-06-30 10:14:57	ga_ls5t_ard_3-0-0_107074_1996-06-30_final
1996-09-21 09:15:25	ga_ls5t_ard_3-0-0_096084_1996-09-20_final
1996-11-28 10:27:21	ga_ls5t_ard_3-0-0_108070_1996-11-28_final
1996-12-04 09:54:56	ga_ls5t_ard_3-0-0_102081_1996-12-04_final
1996-12-15 11:13:25	ga_ls5t_ard_3-0-0_115075_1996-12-15_final
1996-12-26 10:55:00	ga_ls5t_ard_3-0-0_112074_1996-12-26_final
1997-02-02 08:41:59	ga_ls5t_ard_3-0-0_090077_1997-02-01_final
1997-09-24 11:07:43	ga_ls5t_ard_3-0-0_112081_1997-09-24_final
1998-06-28 11:29:14	ga_ls5t_ard_3-0-0_115075_1998-06-28_final
1999-07-18 08:58:49	ga_ls5t_ard_3-0-0_090086_1999-07-17_final
2003-08-29 11:29:13	ga_ls5t_ard_3-0-0_115077_2003-08-29_final
2003-09-06 09:04:12	ga_ls5t_ard_3-0-0_091085_2003-09-05_final
2003-11-18 10:31:08	ga_ls5t_ard_3-0-0_106068_2003-11-18_final
2004-07-06 09:10:56	ga_ls5t_ard_3-0-0_091090_2004-07-05_final
2004-09-17 09:01:22	ga_ls5t_ard_3-0-0_090077_2004-09-16_final
2004-11-23 09:31:36	ga_ls5t_ard_3-0-0_095072_2004-11-23_final
2005-06-06 10:06:47	ga_ls5t_ard_3-0-0_100077_2005-06-06_final
2005-10-05 10:01:36	ga_ls5t_ard_3-0-0_099078_2005-10-05_final
2006-04-15 10:04:48	ga_ls5t_ard_3-0-0_099077_2006-04-15_final
2006-10-18 09:06:17	ga_ls5t_ard_3-0-0_089079_2006-10-17_final
2008-08-14 09:32:46	ga_ls5t_ard_3-0-0_095073_2008-08-14_final
2008-10-25 10:18:00	ga_ls5t_ard_3-0-0_103068_2008-10-25_final
2009-03-15 09:50:17	ga_ls5t_ard_3-0-0_098069_2009-03-15_final
2009-05-02 09:54:50	ga_ls5t_ard_3-0-0_098078_2009-05-02_final
2009-06-20 09:00:31	ga_ls5t_ard_3-0-0_089079_2009-06-19_final
2010-02-10 10:24:09	ga_ls5t_ard_3-0-0_102081_2010-02-10_final
2010-10-20 09:11:00	ga_ls5t_ard_3-0-0_090086_2010-10-19_final
2010-11-15 11:22:03	ga_ls5t_ard_3-0-0_112074_2010-11-15_final
2011-05-31 10:03:00	ga_ls5t_ard_3-0-0_099078_2011-05-31_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

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