Search ga_ls8c_ard_3 across May 2014

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

First 100 results (query limit)

Time (local)	Label
2014-05-01 10:46:21	ga_ls8c_ard_3-0-0_105068_2014-05-01_final
2014-05-01 10:46:45	ga_ls8c_ard_3-0-0_105069_2014-05-01_final
2014-05-01 10:47:09	ga_ls8c_ard_3-0-0_105070_2014-05-01_final
2014-05-01 10:47:33	ga_ls8c_ard_3-0-0_105071_2014-05-01_final
2014-05-01 10:47:57	ga_ls8c_ard_3-0-0_105072_2014-05-01_final
2014-05-01 10:48:21	ga_ls8c_ard_3-0-0_105073_2014-05-01_final
2014-05-01 10:48:44	ga_ls8c_ard_3-0-0_105074_2014-05-01_final
2014-05-01 10:49:08	ga_ls8c_ard_3-0-0_105075_2014-05-01_final
2014-05-01 10:49:32	ga_ls8c_ard_3-0-0_105076_2014-05-01_final
2014-05-01 10:49:56	ga_ls8c_ard_3-0-0_105077_2014-05-01_final
2014-05-01 10:50:20	ga_ls8c_ard_3-0-0_105078_2014-05-01_final
2014-05-01 10:50:44	ga_ls8c_ard_3-0-0_105079_2014-05-01_final
2014-05-01 10:51:08	ga_ls8c_ard_3-0-0_105080_2014-05-01_final
2014-05-01 10:51:32	ga_ls8c_ard_3-0-0_105081_2014-05-01_final
2014-05-01 10:51:56	ga_ls8c_ard_3-0-0_105082_2014-05-01_final
2014-05-02 09:50:18	ga_ls8c_ard_3-0-0_096067_2014-05-02_final
2014-05-02 09:51:30	ga_ls8c_ard_3-0-0_096070_2014-05-02_final
2014-05-02 09:51:54	ga_ls8c_ard_3-0-0_096071_2014-05-02_final
2014-05-02 09:52:18	ga_ls8c_ard_3-0-0_096072_2014-05-02_final
2014-05-02 09:52:42	ga_ls8c_ard_3-0-0_096073_2014-05-02_final
2014-05-02 09:53:06	ga_ls8c_ard_3-0-0_096074_2014-05-02_final
2014-05-02 09:53:30	ga_ls8c_ard_3-0-0_096075_2014-05-02_final
2014-05-02 09:53:54	ga_ls8c_ard_3-0-0_096076_2014-05-02_final
2014-05-02 09:54:18	ga_ls8c_ard_3-0-0_096077_2014-05-02_final
2014-05-02 09:54:42	ga_ls8c_ard_3-0-0_096078_2014-05-02_final
2014-05-02 09:55:06	ga_ls8c_ard_3-0-0_096079_2014-05-02_final
2014-05-02 09:55:30	ga_ls8c_ard_3-0-0_096080_2014-05-02_final
2014-05-02 09:55:54	ga_ls8c_ard_3-0-0_096081_2014-05-02_final
2014-05-02 09:56:17	ga_ls8c_ard_3-0-0_096082_2014-05-02_final
2014-05-02 09:56:41	ga_ls8c_ard_3-0-0_096083_2014-05-02_final
2014-05-02 09:57:05	ga_ls8c_ard_3-0-0_096084_2014-05-02_final
2014-05-02 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-05-02_final
2014-05-02 09:57:53	ga_ls8c_ard_3-0-0_096086_2014-05-02_final
2014-05-02 11:29:11	ga_ls8c_ard_3-0-0_112067_2014-05-02_final
2014-05-02 11:31:59	ga_ls8c_ard_3-0-0_112074_2014-05-02_final
2014-05-02 11:32:23	ga_ls8c_ard_3-0-0_112075_2014-05-02_final
2014-05-02 11:32:47	ga_ls8c_ard_3-0-0_112076_2014-05-02_final
2014-05-02 11:33:11	ga_ls8c_ard_3-0-0_112077_2014-05-02_final
2014-05-03 10:33:57	ga_ls8c_ard_3-0-0_103068_2014-05-03_final
2014-05-03 10:34:21	ga_ls8c_ard_3-0-0_103069_2014-05-03_final
2014-05-03 10:34:45	ga_ls8c_ard_3-0-0_103070_2014-05-03_final
2014-05-03 10:35:08	ga_ls8c_ard_3-0-0_103071_2014-05-03_final
2014-05-03 10:35:32	ga_ls8c_ard_3-0-0_103072_2014-05-03_final
2014-05-03 10:35:56	ga_ls8c_ard_3-0-0_103073_2014-05-03_final
2014-05-03 10:36:20	ga_ls8c_ard_3-0-0_103074_2014-05-03_final
2014-05-03 10:36:44	ga_ls8c_ard_3-0-0_103075_2014-05-03_final
2014-05-03 10:37:08	ga_ls8c_ard_3-0-0_103076_2014-05-03_final
2014-05-03 10:37:32	ga_ls8c_ard_3-0-0_103077_2014-05-03_final
2014-05-03 10:37:56	ga_ls8c_ard_3-0-0_103078_2014-05-03_final
2014-05-03 10:38:20	ga_ls8c_ard_3-0-0_103079_2014-05-03_final
2014-05-03 10:38:44	ga_ls8c_ard_3-0-0_103080_2014-05-03_final
2014-05-03 10:39:08	ga_ls8c_ard_3-0-0_103081_2014-05-03_final
2014-05-03 10:39:32	ga_ls8c_ard_3-0-0_103082_2014-05-03_final
2014-05-30 10:16:53	ga_ls8c_ard_3-0-0_100072_2014-05-30_final
2014-05-30 10:17:17	ga_ls8c_ard_3-0-0_100073_2014-05-30_final
2014-05-30 10:17:41	ga_ls8c_ard_3-0-0_100074_2014-05-30_final
2014-05-30 10:18:05	ga_ls8c_ard_3-0-0_100075_2014-05-30_final
2014-05-30 10:18:29	ga_ls8c_ard_3-0-0_100076_2014-05-30_final
2014-05-30 10:18:53	ga_ls8c_ard_3-0-0_100077_2014-05-30_final
2014-05-30 10:19:17	ga_ls8c_ard_3-0-0_100078_2014-05-30_final
2014-05-30 10:19:41	ga_ls8c_ard_3-0-0_100079_2014-05-30_final
2014-05-30 10:20:04	ga_ls8c_ard_3-0-0_100080_2014-05-30_final
2014-05-30 10:20:28	ga_ls8c_ard_3-0-0_100081_2014-05-30_final
2014-05-30 10:20:52	ga_ls8c_ard_3-0-0_100082_2014-05-30_final
2014-05-30 10:21:16	ga_ls8c_ard_3-0-0_100083_2014-05-30_final
2014-05-30 10:21:40	ga_ls8c_ard_3-0-0_100084_2014-05-30_final
2014-05-31 09:21:16	ga_ls8c_ard_3-0-0_091072_2014-05-30_final
2014-05-31 09:21:40	ga_ls8c_ard_3-0-0_091073_2014-05-30_final
2014-05-31 09:22:04	ga_ls8c_ard_3-0-0_091074_2014-05-30_final
2014-05-31 09:22:28	ga_ls8c_ard_3-0-0_091075_2014-05-30_final
2014-05-31 09:22:52	ga_ls8c_ard_3-0-0_091076_2014-05-30_final
2014-05-31 09:23:16	ga_ls8c_ard_3-0-0_091077_2014-05-30_final
2014-05-31 09:23:40	ga_ls8c_ard_3-0-0_091078_2014-05-30_final
2014-05-31 09:24:04	ga_ls8c_ard_3-0-0_091079_2014-05-30_final
2014-05-31 09:24:28	ga_ls8c_ard_3-0-0_091080_2014-05-30_final
2014-05-31 09:24:52	ga_ls8c_ard_3-0-0_091081_2014-05-30_final
2014-05-31 09:25:16	ga_ls8c_ard_3-0-0_091082_2014-05-30_final
2014-05-31 09:25:40	ga_ls8c_ard_3-0-0_091083_2014-05-30_final
2014-05-31 09:26:04	ga_ls8c_ard_3-0-0_091084_2014-05-30_final
2014-05-31 09:26:28	ga_ls8c_ard_3-0-0_091085_2014-05-30_final
2014-05-31 09:26:52	ga_ls8c_ard_3-0-0_091086_2014-05-30_final
2014-05-31 09:27:16	ga_ls8c_ard_3-0-0_091087_2014-05-30_final
2014-05-31 09:27:40	ga_ls8c_ard_3-0-0_091088_2014-05-30_final
2014-05-31 09:28:03	ga_ls8c_ard_3-0-0_091089_2014-05-30_final
2014-05-31 09:28:27	ga_ls8c_ard_3-0-0_091090_2014-05-30_final
2014-05-31 10:58:10	ga_ls8c_ard_3-0-0_107067_2014-05-31_final
2014-05-31 10:59:22	ga_ls8c_ard_3-0-0_107070_2014-05-31_final
2014-05-31 10:59:45	ga_ls8c_ard_3-0-0_107071_2014-05-31_final
2014-05-31 11:00:09	ga_ls8c_ard_3-0-0_107072_2014-05-31_final
2014-05-31 11:00:33	ga_ls8c_ard_3-0-0_107073_2014-05-31_final
2014-05-31 11:00:57	ga_ls8c_ard_3-0-0_107074_2014-05-31_final
2014-05-31 11:01:21	ga_ls8c_ard_3-0-0_107075_2014-05-31_final
2014-05-31 11:01:45	ga_ls8c_ard_3-0-0_107076_2014-05-31_final
2014-05-31 11:02:09	ga_ls8c_ard_3-0-0_107077_2014-05-31_final
2014-05-31 11:02:33	ga_ls8c_ard_3-0-0_107078_2014-05-31_final
2014-05-31 11:02:57	ga_ls8c_ard_3-0-0_107079_2014-05-31_final
2014-05-31 11:03:21	ga_ls8c_ard_3-0-0_107080_2014-05-31_final
2014-05-31 11:03:45	ga_ls8c_ard_3-0-0_107081_2014-05-31_final
2014-05-31 11:04:09	ga_ls8c_ard_3-0-0_107082_2014-05-31_final
2014-05-31 11:04:33	ga_ls8c_ard_3-0-0_107083_2014-05-31_final

Return to ga_ls8c_ard_3 across May 2014 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2014

May

All days