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

52 results

Time (local)	Label
1988-01-21 09:09:47	ga_ls5t_ard_3-0-0_094073_1988-01-20_final
1988-03-20 10:34:31	ga_ls5t_ard_3-0-0_107082_1988-03-20_final
1988-09-03 08:59:51	ga_ls5t_ard_3-0-0_092075_1988-09-02_final
1988-09-19 10:38:40	ga_ls5t_ard_3-0-0_108075_1988-09-19_final
1988-12-08 09:04:18	ga_ls5t_ard_3-0-0_092087_1988-12-07_final
1988-12-12 10:12:01	ga_ls5t_ard_3-0-0_104071_1988-12-12_final
1989-02-09 09:55:28	ga_ls5t_ard_3-0-0_101077_1989-02-09_final
1989-08-04 09:54:51	ga_ls5t_ard_3-1-0_101083_1989-08-04_final
1989-10-18 11:10:26	ga_ls5t_ard_3-0-0_114076_1989-10-18_final
1990-03-30 09:59:31	ga_ls5t_ard_3-0-0_103081_1990-03-30_final
1990-12-18 10:04:41	ga_ls5t_ard_3-0-0_104080_1990-12-18_final
1991-04-12 10:35:35	ga_ls5t_ard_3-0-0_109074_1991-04-12_final
1991-09-27 09:51:23	ga_ls5t_ard_3-0-0_101082_1991-09-27_final
1991-11-23 09:41:07	ga_ls5t_ard_3-0-0_100071_1991-11-23_final
1991-12-07 09:57:44	ga_ls5t_ard_3-0-0_102081_1991-12-07_final
1992-02-08 10:49:52	ga_ls5t_ard_3-1-0_111073_1992-02-08_final
1992-07-11 09:50:56	ga_ls5t_ard_3-0-0_101083_1992-07-11_final
1992-07-15 09:23:22	ga_ls5t_ard_3-0-0_097076_1992-07-14_final
1993-04-05 08:36:20	ga_ls5t_ard_3-0-0_089084_1993-04-04_final
1993-06-30 09:36:20	ga_ls5t_ard_3-0-0_099079_1993-06-30_final
1993-10-14 10:08:49	ga_ls5t_ard_3-0-0_105068_1993-10-14_final
1994-04-23 09:29:40	ga_ls5t_ard_3-0-0_098084_1994-04-22_final
1994-07-09 10:32:02	ga_ls5t_ard_3-0-0_109074_1994-07-09_final
1994-08-31 10:52:48	ga_ls5t_ard_3-0-0_112083_1994-08-31_final
1995-03-31 08:43:26	ga_ls5t_ard_3-0-0_092087_1995-03-30_final
1995-05-13 09:56:43	ga_ls5t_ard_3-0-0_105074_1995-05-13_final
1995-05-17 09:31:25	ga_ls5t_ard_3-1-0_101073_1995-05-17_final
1995-10-21 10:32:19	ga_ls5t_ard_3-0-0_112074_1995-10-21_final
1995-12-18 09:34:30	ga_ls5t_ard_3-0-0_102081_1995-12-18_final
1996-08-06 10:35:27	ga_ls5t_ard_3-0-0_110074_1996-08-06_final
1996-10-15 08:26:25	ga_ls5t_ard_3-1-0_088082_1996-10-14_final
1996-11-15 11:01:37	ga_ls5t_ard_3-0-0_113080_1996-11-15_final
1998-04-26 10:29:55	ga_ls5t_ard_3-0-0_106068_1998-04-26_final
1998-12-13 10:41:30	ga_ls5t_ard_3-0-0_107077_1998-12-13_final
1999-01-04 10:02:09	ga_ls5t_ard_3-0-0_101071_1999-01-04_final
1999-04-15 08:45:28	ga_ls5t_ard_3-1-0_088081_1999-04-14_final
1999-05-06 09:06:43	ga_ls5t_ard_3-0-0_091088_1999-05-05_final
1999-05-29 10:46:05	ga_ls5t_ard_3-0-0_108075_1999-05-29_final
1999-08-10 10:37:26	ga_ls5t_ard_3-0-0_107070_1999-08-10_final
2004-09-13 09:24:24	ga_ls5t_ard_3-0-0_094073_2004-09-12_final
2004-11-16 11:02:10	ga_ls5t_ard_3-0-0_110067_2004-11-16_final
2005-04-06 10:36:29	ga_ls5t_ard_3-0-0_105075_2005-04-06_final
2005-08-07 10:21:13	ga_ls5t_ard_3-0-0_102081_2005-08-07_final
2005-08-12 10:36:13	ga_ls5t_ard_3-0-0_105072_2005-08-12_final
2006-05-21 09:44:35	ga_ls5t_ard_3-1-0_095087_2006-05-21_final
2006-09-05 11:04:25	ga_ls5t_ard_3-0-0_108082_2006-09-05_final
2006-10-27 10:37:28	ga_ls5t_ard_3-0-0_104075_2006-10-27_final
2007-08-25 09:12:22	ga_ls5t_ard_3-0-0_090081_2007-08-24_final
2009-01-13 10:24:26	ga_ls5t_ard_3-0-0_103081_2009-01-13_final
2009-11-15 10:15:50	ga_ls5t_ard_3-0-0_101077_2009-11-15_final
2011-01-06 09:18:59	ga_ls5t_ard_3-1-0_092075_2011-01-05_final
2011-01-11 09:37:08	ga_ls5t_ard_3-0-0_095074_2011-01-11_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