Search ga_ls5t_ard_3 across September 1986

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
1986-09-01 09:18:59	ga_ls5t_ard_3-0-0_097070_1986-08-31_final
1986-09-01 09:19:23	ga_ls5t_ard_3-0-0_097071_1986-08-31_final
1986-09-01 09:19:47	ga_ls5t_ard_3-0-0_097072_1986-08-31_final
1986-09-01 09:20:10	ga_ls5t_ard_3-0-0_097073_1986-08-31_final
1986-09-01 09:20:34	ga_ls5t_ard_3-0-0_097074_1986-08-31_final
1986-09-01 09:20:58	ga_ls5t_ard_3-0-0_097075_1986-08-31_final
1986-09-01 09:21:22	ga_ls5t_ard_3-0-0_097076_1986-08-31_final
1986-09-01 09:21:46	ga_ls5t_ard_3-0-0_097077_1986-08-31_final
1986-09-01 09:22:10	ga_ls5t_ard_3-0-0_097078_1986-08-31_final
1986-09-01 09:22:34	ga_ls5t_ard_3-0-0_097079_1986-08-31_final
1986-09-01 09:22:58	ga_ls5t_ard_3-0-0_097080_1986-08-31_final
1986-09-01 09:23:22	ga_ls5t_ard_3-0-0_097081_1986-08-31_final
1986-09-01 09:23:46	ga_ls5t_ard_3-0-0_097082_1986-08-31_final
1986-09-01 09:24:10	ga_ls5t_ard_3-0-0_097083_1986-08-31_final
1986-09-01 09:24:34	ga_ls5t_ard_3-0-0_097084_1986-08-31_final
1986-09-12 10:37:45	ga_ls5t_ard_3-0-0_110067_1986-09-12_final
1986-09-12 10:38:57	ga_ls5t_ard_3-0-0_110070_1986-09-12_final
1986-09-12 10:39:21	ga_ls5t_ard_3-0-0_110071_1986-09-12_final
1986-09-12 10:39:45	ga_ls5t_ard_3-0-0_110072_1986-09-12_final
1986-09-12 10:40:09	ga_ls5t_ard_3-0-0_110073_1986-09-12_final
1986-09-12 10:40:33	ga_ls5t_ard_3-0-0_110074_1986-09-12_final
1986-09-12 10:41:45	ga_ls5t_ard_3-0-0_110077_1986-09-12_final
1986-09-12 10:42:09	ga_ls5t_ard_3-0-0_110078_1986-09-12_final
1986-09-12 10:42:33	ga_ls5t_ard_3-0-0_110079_1986-09-12_final
1986-09-12 10:42:57	ga_ls5t_ard_3-0-0_110080_1986-09-12_final
1986-09-12 10:43:21	ga_ls5t_ard_3-0-0_110081_1986-09-12_final
1986-09-12 10:43:45	ga_ls5t_ard_3-0-0_110082_1986-09-12_final
1986-09-12 10:44:09	ga_ls5t_ard_3-0-0_110083_1986-09-12_final
1986-09-12 10:44:33	ga_ls5t_ard_3-0-0_110084_1986-09-12_final
1986-09-21 10:32:30	ga_ls5t_ard_3-0-0_109070_1986-09-21_final
1986-09-21 10:32:54	ga_ls5t_ard_3-0-0_109071_1986-09-21_final
1986-09-21 10:33:18	ga_ls5t_ard_3-0-0_109072_1986-09-21_final
1986-09-21 10:33:42	ga_ls5t_ard_3-0-0_109073_1986-09-21_final
1986-09-21 10:34:06	ga_ls5t_ard_3-0-0_109074_1986-09-21_final
1986-09-21 10:34:30	ga_ls5t_ard_3-0-0_109075_1986-09-21_final
1986-09-21 10:34:54	ga_ls5t_ard_3-0-0_109076_1986-09-21_final
1986-09-21 10:35:18	ga_ls5t_ard_3-0-0_109077_1986-09-21_final
1986-09-21 10:35:42	ga_ls5t_ard_3-0-0_109078_1986-09-21_final
1986-09-21 10:36:05	ga_ls5t_ard_3-0-0_109079_1986-09-21_final
1986-09-21 10:36:29	ga_ls5t_ard_3-0-0_109080_1986-09-21_final
1986-09-21 10:36:53	ga_ls5t_ard_3-0-0_109081_1986-09-21_final
1986-09-21 10:37:18	ga_ls5t_ard_3-0-0_109082_1986-09-21_final
1986-09-21 10:37:41	ga_ls5t_ard_3-0-0_109083_1986-09-21_final
1986-09-21 10:38:05	ga_ls5t_ard_3-0-0_109084_1986-09-21_final

Return to ga_ls5t_ard_3 across September 1986 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

1986

September

All days