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

51 results

Time (local)	Label
1987-09-11 09:33:41	ga_ls5t_ard_3-0-0_098077_1987-09-11_final
1988-05-07 08:53:11	ga_ls5t_ard_3-1-0_091075_1988-05-06_final
1988-10-01 11:06:54	ga_ls5t_ard_3-0-0_112084_1988-10-01_final
1988-11-07 11:23:48	ga_ls5t_ard_3-1-0_115080_1988-11-07_final
1988-12-15 09:10:47	ga_ls5t_ard_3-0-0_093088_1988-12-14_final
1989-06-11 08:50:56	ga_ls5t_ard_3-1-0_091075_1989-06-10_final
1990-08-24 08:48:33	ga_ls5t_ard_3-1-0_092074_1990-08-23_final
1990-10-11 08:48:16	ga_ls5t_ard_3-1-0_092074_1990-10-10_final
1990-12-28 09:05:29	ga_ls5t_ard_3-0-0_094086_1990-12-27_final
1991-02-02 10:19:20	ga_ls5t_ard_3-0-0_106083_1991-02-02_final
1991-03-15 08:37:51	ga_ls5t_ard_3-1-0_089090_1991-03-14_final
1991-09-17 10:47:37	ga_ls5t_ard_3-1-0_111068_1991-09-17_final
1991-11-17 10:22:59	ga_ls5t_ard_3-0-0_106083_1991-11-17_final
1992-01-14 09:14:50	ga_ls5t_ard_3-0-0_096067_1992-01-13_final
1992-02-19 08:57:36	ga_ls5t_ard_3-0-0_092086_1992-02-18_final
1992-02-29 09:31:07	ga_ls5t_ard_3-0-0_098077_1992-02-29_final
1992-07-15 09:24:58	ga_ls5t_ard_3-0-0_097080_1992-07-14_final
1993-09-06 10:52:26	ga_ls5t_ard_3-0-0_111084_1993-09-06_final
1993-10-14 10:14:24	ga_ls5t_ard_3-0-0_105082_1993-10-14_final
1994-08-03 08:51:04	ga_ls5t_ard_3-0-0_092086_1994-08-02_final
1995-07-30 08:24:15	ga_ls5t_ard_3-1-0_091068_1995-07-29_final
1996-07-12 09:06:11	ga_ls5t_ard_3-0-0_095086_1996-07-11_final
1996-12-28 09:06:38	ga_ls5t_ard_3-0-0_094081_1996-12-27_final
1997-03-31 10:18:58	ga_ls5t_ard_3-0-0_105082_1997-03-31_final
1997-04-10 09:11:32	ga_ls5t_ard_3-0-0_095067_1997-04-09_final
1997-05-30 09:05:43	ga_ls5t_ard_3-0-0_093079_1997-05-29_final
1997-07-01 09:09:13	ga_ls5t_ard_3-0-0_093085_1997-06-30_final
1997-07-18 09:49:52	ga_ls5t_ard_3-0-0_100077_1997-07-18_final
1997-12-06 10:59:26	ga_ls5t_ard_3-1-0_111071_1997-12-06_final
1998-04-04 09:27:26	ga_ls5t_ard_3-0-0_096067_1998-04-03_final
1998-07-04 09:13:21	ga_ls5t_ard_3-0-0_093075_1998-07-03_final
1998-11-28 11:20:51	ga_ls5t_ard_3-0-0_114067_1998-11-28_final
1999-01-27 10:12:17	ga_ls5t_ard_3-0-0_102081_1999-01-27_final
1999-02-18 09:29:51	ga_ls5t_ard_3-1-0_096067_1999-02-17_final
1999-11-13 09:55:30	ga_ls5t_ard_3-0-0_100078_1999-11-13_final
2003-11-05 09:24:25	ga_ls5t_ard_3-1-0_095072_2003-11-04_final
2005-04-06 08:59:12	ga_ls5t_ard_3-0-0_089079_2005-04-05_final
2005-08-06 09:32:22	ga_ls5t_ard_3-0-0_095067_2005-08-06_final
2005-08-08 09:20:26	ga_ls5t_ard_3-1-0_093068_2005-08-07_final
2005-10-16 09:46:13	ga_ls5t_ard_3-0-0_096086_2005-10-16_final
2005-10-18 11:07:09	ga_ls5t_ard_3-0-0_110072_2005-10-18_final
2005-11-21 09:19:11	ga_ls5t_ard_3-0-0_092079_2005-11-20_final
2006-07-11 10:12:16	ga_ls5t_ard_3-0-0_100077_2006-07-11_final
2006-09-10 09:38:09	ga_ls5t_ard_3-0-0_095067_2006-09-10_final
2006-10-19 09:44:46	ga_ls5t_ard_3-1-0_096067_2006-10-19_final
2006-11-03 09:05:38	ga_ls5t_ard_3-1-0_089077_2006-11-02_final
2007-04-29 09:52:52	ga_ls5t_ard_3-0-0_096086_2007-04-29_final
2007-08-19 09:43:55	ga_ls5t_ard_3-0-0_096067_2007-08-19_final
2009-01-17 09:56:14	ga_ls5t_ard_3-0-0_099072_2009-01-17_final
2010-02-21 10:02:27	ga_ls5t_ard_3-0-0_099073_2010-02-21_final
2010-03-22 11:14:03	ga_ls5t_ard_3-0-0_110082_2010-03-22_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