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

44 results

Time (local)	Label
1987-12-15 10:29:54	ga_ls5t_ard_3-0-0_107074_1987-12-15_final
1988-07-13 11:02:57	ga_ls5t_ard_3-0-0_112074_1988-07-13_final
1988-07-23 10:04:22	ga_ls5t_ard_3-0-0_102082_1988-07-23_final
1988-10-08 09:31:23	ga_ls5t_ard_3-0-0_097077_1988-10-08_final
1988-12-18 09:37:41	ga_ls5t_ard_3-0-0_098078_1988-12-18_final
1989-01-18 08:53:20	ga_ls5t_ard_3-0-0_091076_1989-01-17_final
1989-11-01 09:43:37	ga_ls5t_ard_3-0-0_100076_1989-11-01_final
1990-03-29 09:12:18	ga_ls5t_ard_3-0-0_096071_1990-03-28_final
1990-10-03 09:41:17	ga_ls5t_ard_3-0-0_100083_1990-10-03_final
1990-11-29 09:29:12	ga_ls5t_ard_3-1-0_099069_1990-11-28_final
1991-10-31 09:37:14	ga_ls5t_ard_3-0-0_099077_1991-10-31_final
1992-06-21 08:35:24	ga_ls5t_ard_3-0-0_089079_1992-06-20_final
1993-07-08 08:48:52	ga_ls5t_ard_3-0-0_091084_1993-07-07_final
1993-10-14 08:35:31	ga_ls5t_ard_3-0-0_089082_1993-10-13_final
1993-12-08 10:18:14	ga_ls5t_ard_3-0-0_106077_1993-12-08_final
1993-12-27 10:47:46	ga_ls5t_ard_3-0-0_111074_1993-12-27_final
1994-12-12 10:55:48	ga_ls5t_ard_3-0-0_113083_1994-12-12_final
1996-02-01 10:46:06	ga_ls5t_ard_3-0-0_113082_1996-02-01_final
1996-07-30 10:29:42	ga_ls5t_ard_3-0-0_109076_1996-07-30_final
1997-04-06 09:39:42	ga_ls5t_ard_3-0-0_099076_1997-04-06_final
1997-07-17 10:45:03	ga_ls5t_ard_3-0-0_109076_1997-07-17_final
1998-01-18 10:42:41	ga_ls5t_ard_3-0-0_108073_1998-01-18_final
1998-03-18 10:24:51	ga_ls5t_ard_3-0-0_105072_1998-03-18_final
1998-05-01 09:17:12	ga_ls5t_ard_3-0-0_093087_1998-04-30_final
1998-07-09 09:30:22	ga_ls5t_ard_3-0-0_096071_1998-07-09_final
1998-08-21 09:16:58	ga_ls5t_ard_3-0-0_093083_1998-08-20_final
1998-11-26 09:59:31	ga_ls5t_ard_3-0-0_100080_1998-11-26_final
1998-12-11 09:18:59	ga_ls5t_ard_3-0-0_093087_1998-12-10_final
1999-01-22 11:30:14	ga_ls5t_ard_3-0-0_115075_1999-01-22_final
1999-06-16 10:30:45	ga_ls5t_ard_3-0-0_106068_1999-06-16_final
1999-06-30 10:44:56	ga_ls5t_ard_3-0-0_108073_1999-06-30_final
2003-07-13 08:57:28	ga_ls5t_ard_3-0-0_090086_2003-07-12_final
2003-08-07 10:26:13	ga_ls5t_ard_3-0-0_105075_2003-08-07_final
2003-12-01 10:04:23	ga_ls5t_ard_3-0-0_101078_2003-12-01_final
2004-07-31 10:38:14	ga_ls5t_ard_3-0-0_106075_2004-07-31_final
2004-09-01 10:38:14	ga_ls5t_ard_3-0-0_106073_2004-09-01_final
2005-01-21 09:20:27	ga_ls5t_ard_3-0-0_092088_2005-01-20_final
2006-02-26 10:04:41	ga_ls5t_ard_3-0-0_099079_2006-02-26_final
2006-10-12 11:19:48	ga_ls5t_ard_3-0-0_111073_2006-10-12_final
2007-01-21 11:41:33	ga_ls5t_ard_3-0-0_114079_2007-01-21_final
2008-02-14 10:15:17	ga_ls5t_ard_3-0-0_101075_2008-02-14_final
2008-03-24 10:21:30	ga_ls5t_ard_3-0-0_102077_2008-03-24_final
2008-12-16 11:36:15	ga_ls5t_ard_3-0-0_115077_2008-12-16_final
2010-11-05 09:10:55	ga_ls5t_ard_3-0-0_090086_2010-11-04_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