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

50 results

Time (local)	Label
1988-02-07 09:52:35	ga_ls5t_ard_3-0-0_101071_1988-02-07_final
1988-02-15 10:43:21	ga_ls5t_ard_3-0-0_109074_1988-02-15_final
1988-03-03 09:49:54	ga_ls5t_ard_3-0-0_100079_1988-03-03_final
1988-03-12 11:22:18	ga_ls5t_ard_3-0-0_115078_1988-03-12_final
1988-03-14 09:28:41	ga_ls5t_ard_3-0-0_097072_1988-03-13_final
1988-10-26 09:16:57	ga_ls5t_ard_3-0-0_095072_1988-10-25_final
1989-03-10 09:22:53	ga_ls5t_ard_3-0-0_096074_1989-03-09_final
1989-06-15 10:04:55	ga_ls5t_ard_3-0-0_103075_1989-06-15_final
1990-10-28 09:33:24	ga_ls5t_ard_3-0-0_099079_1990-10-28_final
1990-11-18 09:49:55	ga_ls5t_ard_3-0-0_102074_1990-11-18_final
1991-09-28 08:57:47	ga_ls5t_ard_3-0-0_092087_1991-09-27_final
1991-11-16 09:38:07	ga_ls5t_ard_3-0-0_099079_1991-11-16_final
1992-08-08 10:12:06	ga_ls5t_ard_3-0-0_105075_1992-08-08_final
1992-09-19 09:08:26	ga_ls5t_ard_3-0-0_095072_1992-09-18_final
1993-01-23 09:23:17	ga_ls5t_ard_3-0-0_097079_1993-01-22_final
1993-06-15 08:40:01	ga_ls5t_ard_3-0-0_090077_1993-06-14_final
1993-08-07 10:34:55	ga_ls5t_ard_3-0-0_109071_1993-08-07_final
1994-01-10 09:20:15	ga_ls5t_ard_3-0-0_097072_1994-01-09_final
1994-09-23 09:18:18	ga_ls5t_ard_3-0-0_097080_1994-09-22_final
1994-11-14 10:26:45	ga_ls5t_ard_3-0-0_109070_1994-11-14_final
1994-12-27 10:07:39	ga_ls5t_ard_3-0-0_106072_1994-12-27_final
1995-01-09 09:37:30	ga_ls5t_ard_3-0-0_101075_1995-01-09_final
1995-01-11 09:22:40	ga_ls5t_ard_3-0-0_099069_1995-01-10_final
1995-11-17 08:36:44	ga_ls5t_ard_3-0-0_093080_1995-11-16_final
1996-07-30 10:28:54	ga_ls5t_ard_3-0-0_109074_1996-07-30_final
1996-08-09 09:26:25	ga_ls5t_ard_3-0-0_099071_1996-08-08_final
1996-11-15 11:01:37	ga_ls5t_ard_3-0-0_113080_1996-11-15_final
1997-10-05 10:49:53	ga_ls5t_ard_3-0-0_109082_1997-10-05_final
1998-02-19 09:05:39	ga_ls5t_ard_3-0-0_092076_1998-02-18_final
1998-06-15 10:18:18	ga_ls5t_ard_3-0-0_104068_1998-06-15_final
1998-07-02 09:24:53	ga_ls5t_ard_3-0-0_095073_1998-07-01_final
1998-10-06 09:25:14	ga_ls5t_ard_3-0-0_095072_1998-10-05_final
1998-11-04 10:36:05	ga_ls5t_ard_3-0-0_106079_1998-11-04_final
1999-08-31 10:57:32	ga_ls5t_ard_3-0-0_110075_1999-08-31_final
2003-08-13 09:46:26	ga_ls5t_ard_3-0-0_099068_2003-08-13_final
2003-08-22 09:41:14	ga_ls5t_ard_3-0-0_098070_2003-08-22_final
2003-09-08 10:26:47	ga_ls5t_ard_3-0-0_105075_2003-09-08_final
2004-06-18 10:55:14	ga_ls5t_ard_3-0-0_109074_2004-06-18_final
2006-02-19 09:57:57	ga_ls5t_ard_3-0-0_098078_2006-02-19_final
2006-05-12 09:45:27	ga_ls5t_ard_3-0-0_096074_2006-05-12_final
2006-06-15 11:12:53	ga_ls5t_ard_3-0-0_110075_2006-06-15_final
2006-06-26 09:20:01	ga_ls5t_ard_3-0-0_091086_2006-06-25_final
2007-07-23 10:07:55	ga_ls5t_ard_3-0-0_099080_2007-07-23_final
2007-09-10 09:13:26	ga_ls5t_ard_3-0-0_090084_2007-09-09_final
2009-01-06 10:16:29	ga_ls5t_ard_3-0-0_102077_2009-01-06_final
2009-08-29 10:03:02	ga_ls5t_ard_3-0-0_099078_2009-08-29_final
2009-10-18 09:51:17	ga_ls5t_ard_3-0-0_097078_2009-10-18_final
2009-11-10 09:58:04	ga_ls5t_ard_3-0-0_098079_2009-11-10_final
2009-11-14 11:09:51	ga_ls5t_ard_3-0-0_110073_2009-11-14_final
2010-12-31 09:57:38	ga_ls5t_ard_3-0-0_098079_2010-12-31_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

All years