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

58 results

Time (local)	Label
1987-11-18 09:06:21	ga_ls5t_ard_3-0-0_094067_1987-11-17_final
1987-12-20 09:06:50	ga_ls5t_ard_3-0-0_094067_1987-12-19_final
1987-12-24 08:47:46	ga_ls5t_ard_3-0-0_090081_1987-12-23_final
1988-01-31 09:48:40	ga_ls5t_ard_3-0-0_100077_1988-01-31_final
1988-05-22 09:49:44	ga_ls5t_ard_3-0-0_100077_1988-05-22_final
1988-08-26 09:50:05	ga_ls5t_ard_3-0-0_100077_1988-08-26_final
1989-06-19 11:19:49	ga_ls5t_ard_3-0-0_115077_1989-06-19_final
1989-07-28 09:46:25	ga_ls5t_ard_3-0-0_100077_1989-07-28_final
1989-11-07 09:02:49	ga_ls5t_ard_3-0-0_094067_1989-11-06_final
1990-05-12 09:39:33	ga_ls5t_ard_3-1-0_100077_1990-05-12_final
1991-02-25 10:25:11	ga_ls5t_ard_3-0-0_107081_1991-02-25_final
1991-03-13 10:25:30	ga_ls5t_ard_3-0-0_107081_1991-03-13_final
1991-06-09 09:35:55	ga_ls5t_ard_3-0-0_099077_1991-06-09_final
1991-12-31 10:45:24	ga_ls5t_ard_3-0-0_110077_1991-12-31_final
1992-01-27 10:28:28	ga_ls5t_ard_3-0-0_107081_1992-01-27_final
1992-03-16 11:10:25	ga_ls5t_ard_3-0-0_114078_1992-03-16_final
1992-04-15 09:43:16	ga_ls5t_ard_3-0-0_100077_1992-04-15_final
1993-12-28 09:50:56	ga_ls5t_ard_3-0-0_102071_1993-12-28_final
1994-05-24 10:23:32	ga_ls5t_ard_3-0-0_107081_1994-05-24_final
1994-07-10 09:37:35	ga_ls5t_ard_3-0-0_100077_1994-07-10_final
1994-09-04 08:45:54	ga_ls5t_ard_3-0-0_092075_1994-09-03_final
1995-05-10 09:27:09	ga_ls5t_ard_3-0-0_100077_1995-05-09_final
1995-08-29 10:16:31	ga_ls5t_ard_3-0-0_109074_1995-08-29_final
1996-07-01 09:20:59	ga_ls5t_ard_3-0-0_098078_1996-06-30_final
1996-10-12 11:11:09	ga_ls5t_ard_3-0-0_115077_1996-10-12_final
1997-09-05 10:36:17	ga_ls5t_ard_3-0-0_107081_1997-09-05_final
1998-01-10 09:54:40	ga_ls5t_ard_3-0-0_100077_1998-01-10_final
1998-03-24 11:28:43	ga_ls5t_ard_3-0-0_115077_1998-03-24_final
1998-05-01 09:14:25	ga_ls5t_ard_3-0-0_093080_1998-04-30_final
1998-08-07 10:42:33	ga_ls5t_ard_3-0-0_107081_1998-08-07_final
1998-08-23 10:42:43	ga_ls5t_ard_3-0-0_107081_1998-08-23_final
1998-09-07 09:57:59	ga_ls5t_ard_3-0-0_100077_1998-09-07_final
1998-11-11 10:43:09	ga_ls5t_ard_3-0-0_107081_1998-11-11_final
1998-11-27 10:43:10	ga_ls5t_ard_3-0-0_107081_1998-11-27_final
1998-12-18 10:58:54	ga_ls5t_ard_3-0-0_110074_1998-12-18_final
1998-12-29 10:43:15	ga_ls5t_ard_3-0-0_107081_1998-12-29_final
1999-04-14 11:17:10	ga_ls5t_ard_3-0-0_113074_1999-04-14_final
1999-05-06 09:06:43	ga_ls5t_ard_3-0-0_091088_1999-05-05_final
1999-06-07 10:42:09	ga_ls5t_ard_3-0-0_107081_1999-06-07_final
2004-01-08 11:04:27	ga_ls5t_ard_3-0-0_111073_2004-01-08_final
2004-01-12 10:42:55	ga_ls5t_ard_3-0-0_107081_2004-01-12_final
2004-03-16 09:07:58	ga_ls5t_ard_3-0-0_091090_2004-03-15_final
2004-05-03 10:42:20	ga_ls5t_ard_3-0-0_107076_2004-05-03_final
2004-05-19 10:42:49	ga_ls5t_ard_3-0-0_107076_2004-05-19_final
2004-08-23 10:47:22	ga_ls5t_ard_3-0-0_107081_2004-08-23_final
2004-09-24 10:46:12	ga_ls5t_ard_3-0-0_107076_2004-09-24_final
2004-10-24 10:58:24	ga_ls5t_ard_3-0-0_109074_2004-10-24_final
2004-10-29 09:40:33	ga_ls5t_ard_3-0-0_096080_2004-10-29_final
2004-11-09 10:58:43	ga_ls5t_ard_3-0-0_109074_2004-11-09_final
2004-12-11 09:18:04	ga_ls5t_ard_3-1-0_093068_2004-12-10_final
2005-03-17 11:00:42	ga_ls5t_ard_3-0-0_109074_2005-03-17_final
2005-07-09 09:10:33	ga_ls5t_ard_3-1-0_091075_2005-07-08_final
2005-11-05 10:55:40	ga_ls5t_ard_3-0-0_108074_2005-11-05_final
2006-04-15 11:43:41	ga_ls5t_ard_3-0-0_115077_2006-04-15_final
2006-07-19 11:00:37	ga_ls5t_ard_3-0-0_108074_2006-07-19_final
2006-08-30 10:01:21	ga_ls5t_ard_3-0-0_098079_2006-08-30_final
2006-10-25 09:13:19	ga_ls5t_ard_3-0-0_090081_2006-10-24_final
2009-05-09 10:01:09	ga_ls5t_ard_3-0-0_099078_2009-05-09_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