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

55 results

Time (local)	Label
1987-07-15 10:32:42	ga_ls5t_ard_3-0-0_108074_1987-07-15_final
1987-09-23 10:00:17	ga_ls5t_ard_3-0-0_102081_1987-09-23_final
1988-02-08 10:37:03	ga_ls5t_ard_3-0-0_108074_1988-02-08_final
1988-08-10 09:50:00	ga_ls5t_ard_3-0-0_100077_1988-08-10_final
1989-01-04 10:19:43	ga_ls5t_ard_3-0-0_105075_1989-01-04_final
1989-02-02 09:49:20	ga_ls5t_ard_3-0-0_100077_1989-02-02_final
1989-06-04 08:47:20	ga_ls5t_ard_3-0-0_090081_1989-06-03_final
1989-09-11 10:56:07	ga_ls5t_ard_3-0-0_111084_1989-09-11_final
1989-10-16 09:44:25	ga_ls5t_ard_3-0-0_100077_1989-10-16_final
1990-07-03 10:52:25	ga_ls5t_ard_3-0-0_112074_1990-07-03_final
1990-09-06 09:59:15	ga_ls5t_ard_3-0-0_103081_1990-09-06_final
1991-01-31 10:28:07	ga_ls5t_ard_3-0-0_108074_1991-01-31_final
1991-07-12 08:42:17	ga_ls5t_ard_3-0-0_090081_1991-07-11_final
1991-08-27 10:31:12	ga_ls5t_ard_3-0-0_108074_1991-08-27_final
1991-10-06 09:43:19	ga_ls5t_ard_3-0-0_100077_1991-10-06_final
1992-06-01 10:37:16	ga_ls5t_ard_3-0-0_109074_1992-06-01_final
1992-12-03 10:28:43	ga_ls5t_ard_3-0-0_108074_1992-12-03_final
1993-08-24 09:41:40	ga_ls5t_ard_3-0-0_100077_1993-08-24_final
1994-11-29 09:47:24	ga_ls5t_ard_3-0-0_102081_1994-11-29_final
1995-04-16 10:16:28	ga_ls5t_ard_3-0-0_108074_1995-04-16_final
1995-05-10 09:27:09	ga_ls5t_ard_3-0-0_100077_1995-05-09_final
1995-05-19 09:20:34	ga_ls5t_ard_3-0-0_099077_1995-05-18_final
1995-07-30 10:05:56	ga_ls5t_ard_3-0-0_107075_1995-07-30_final
1995-09-16 10:03:41	ga_ls5t_ard_3-0-0_107075_1995-09-16_final
1995-11-26 10:07:20	ga_ls5t_ard_3-0-0_108074_1995-11-26_final
1996-06-26 10:39:04	ga_ls5t_ard_3-0-0_111073_1996-06-26_final
1996-07-07 10:21:30	ga_ls5t_ard_3-0-0_108074_1996-07-07_final
1996-07-31 09:34:31	ga_ls5t_ard_3-0-0_100077_1996-07-31_final
1997-01-18 10:59:28	ga_ls5t_ard_3-0-0_113067_1997-01-18_final
1997-03-29 10:28:27	ga_ls5t_ard_3-0-0_107075_1997-03-29_final
1997-07-19 10:32:21	ga_ls5t_ard_3-0-0_107075_1997-07-19_final
1998-01-11 10:37:09	ga_ls5t_ard_3-0-0_107075_1998-01-11_final
1998-05-01 09:14:25	ga_ls5t_ard_3-0-0_093080_1998-04-30_final
1998-05-23 10:16:59	ga_ls5t_ard_3-0-0_103081_1998-05-23_final
1999-02-15 10:41:00	ga_ls5t_ard_3-0-0_107075_1999-02-15_final
1999-04-20 10:40:30	ga_ls5t_ard_3-0-0_107075_1999-04-20_final
1999-05-06 10:40:24	ga_ls5t_ard_3-0-0_107075_1999-05-06_final
1999-06-07 10:39:46	ga_ls5t_ard_3-0-0_107075_1999-06-07_final
1999-07-16 09:06:23	ga_ls5t_ard_3-1-0_092074_1999-07-15_final
1999-08-06 11:06:34	ga_ls5t_ard_3-0-0_111081_1999-08-06_final
2003-07-18 10:50:59	ga_ls5t_ard_3-0-0_109076_2003-07-18_final
2003-08-10 10:57:10	ga_ls5t_ard_3-0-0_110075_2003-08-10_final
2003-09-15 10:33:29	ga_ls5t_ard_3-0-0_106076_2003-09-15_final
2004-04-14 10:12:54	ga_ls5t_ard_3-0-0_102081_2004-04-14_final
2004-12-22 10:41:47	ga_ls5t_ard_3-0-0_106076_2004-12-22_final
2005-04-24 10:26:35	ga_ls5t_ard_3-0-0_103081_2005-04-24_final
2005-06-30 10:55:09	ga_ls5t_ard_3-0-0_108074_2005-06-30_final
2005-07-06 10:21:17	ga_ls5t_ard_3-0-0_102082_2005-07-06_final
2006-04-16 10:47:41	ga_ls5t_ard_3-0-0_106076_2006-04-16_final
2006-04-30 10:59:27	ga_ls5t_ard_3-0-0_108074_2006-04-30_final
2006-05-25 10:54:00	ga_ls5t_ard_3-0-0_107075_2006-05-25_final
2008-09-19 10:46:42	ga_ls5t_ard_3-0-0_107075_2008-09-19_final
2008-12-20 09:30:46	ga_ls5t_ard_3-0-0_095072_2008-12-20_final
2009-11-24 10:09:43	ga_ls5t_ard_3-0-0_100077_2009-11-24_final
2010-04-10 10:04:26	ga_ls5t_ard_3-0-0_099078_2010-04-10_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