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

46 results

Time (local)	Label
1987-09-16 09:52:45	ga_ls5t_ard_3-0-0_101078_1987-09-16_final
1987-09-27 09:31:39	ga_ls5t_ard_3-0-0_098071_1987-09-27_final
1987-10-06 09:31:15	ga_ls5t_ard_3-0-0_097085_1987-10-06_final
1987-10-24 10:53:17	ga_ls5t_ard_3-0-0_111073_1987-10-24_final
1987-11-14 09:34:59	ga_ls5t_ard_3-0-0_098077_1987-11-14_final
1987-12-07 09:38:21	ga_ls5t_ard_3-0-0_099069_1987-12-07_final
1988-01-18 10:18:31	ga_ls5t_ard_3-0-0_105075_1988-01-18_final
1988-04-12 09:04:20	ga_ls5t_ard_3-0-0_092088_1988-04-11_final
1988-07-24 10:44:02	ga_ls5t_ard_3-0-0_109073_1988-07-24_final
1989-03-16 08:51:08	ga_ls5t_ard_3-0-0_090088_1989-03-15_final
1990-06-10 09:06:59	ga_ls5t_ard_3-0-0_095073_1990-06-09_final
1990-12-06 09:36:32	ga_ls5t_ard_3-1-0_100072_1990-12-06_final
1992-06-15 09:07:46	ga_ls5t_ard_3-0-0_095067_1992-06-14_final
1993-03-20 10:08:46	ga_ls5t_ard_3-0-0_105068_1993-03-20_final
1993-08-28 10:54:38	ga_ls5t_ard_3-0-0_112074_1993-08-28_final
1994-02-27 10:59:18	ga_ls5t_ard_3-0-0_113074_1994-02-27_final
1994-07-29 10:06:45	ga_ls5t_ard_3-0-0_105074_1994-07-29_final
1994-08-03 10:25:57	ga_ls5t_ard_3-0-0_108076_1994-08-03_final
1994-10-29 10:31:42	ga_ls5t_ard_3-0-0_109081_1994-10-29_final
1994-11-21 10:34:17	ga_ls5t_ard_3-1-0_110074_1994-11-21_final
1995-07-06 10:57:39	ga_ls5t_ard_3-0-0_115078_1995-07-06_final
1995-07-22 10:55:44	ga_ls5t_ard_3-0-0_115075_1995-07-22_final
1995-10-26 09:15:17	ga_ls5t_ard_3-0-0_099083_1995-10-25_final
1995-11-26 08:30:26	ga_ls5t_ard_3-0-0_092079_1995-11-25_final
1997-04-29 09:46:42	ga_ls5t_ard_3-0-0_100076_1997-04-29_final
1997-11-25 11:21:16	ga_ls5t_ard_3-0-0_114080_1997-11-25_final
1997-12-11 09:39:13	ga_ls5t_ard_3-0-0_098071_1997-12-11_final
1998-02-04 09:49:50	ga_ls5t_ard_3-0-0_099079_1998-02-04_final
1998-04-19 08:50:45	ga_ls5t_ard_3-0-0_089083_1998-04-18_final
1998-06-12 09:51:22	ga_ls5t_ard_3-0-0_099078_1998-06-12_final
1998-11-14 11:11:17	ga_ls5t_ard_3-0-0_112074_1998-11-14_final
1998-12-31 08:52:25	ga_ls5t_ard_3-0-0_089082_1998-12-30_final
2003-07-04 09:03:30	ga_ls5t_ard_3-0-0_091086_2003-07-03_final
2003-09-16 09:35:29	ga_ls5t_ard_3-0-0_097070_2003-09-16_final
2003-11-17 11:30:44	ga_ls5t_ard_3-0-0_115078_2003-11-17_final
2004-05-03 09:03:27	ga_ls5t_ard_3-0-0_091076_2004-05-02_final
2005-09-10 10:05:02	ga_ls5t_ard_3-0-0_100071_2005-09-10_final
2007-02-05 10:58:43	ga_ls5t_ard_3-0-0_107080_2007-02-05_final
2007-06-18 11:17:05	ga_ls5t_ard_3-0-0_110082_2007-06-18_final
2007-07-02 09:45:57	ga_ls5t_ard_3-0-0_096071_2007-07-02_final
2008-03-28 09:54:42	ga_ls5t_ard_3-0-0_098072_2008-03-28_final
2009-03-06 09:59:51	ga_ls5t_ard_3-0-0_099078_2009-03-06_final
2009-07-06 10:35:18	ga_ls5t_ard_3-0-0_105068_2009-07-06_final
2010-04-15 10:18:58	ga_ls5t_ard_3-0-0_102068_2010-04-15_final
2010-04-19 10:00:36	ga_ls5t_ard_3-0-0_098084_2010-04-19_final
2011-10-06 10:01:12	ga_ls5t_ard_3-0-0_099077_2011-10-06_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