Search ga_ls8c_ard_3 across October 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
2014-10-06 09:21:52	ga_ls8c_ard_3-0-0_091072_2014-10-05_final
2014-10-06 09:22:16	ga_ls8c_ard_3-0-0_091073_2014-10-05_final
2014-10-06 09:22:40	ga_ls8c_ard_3-0-0_091074_2014-10-05_final
2014-10-06 09:23:04	ga_ls8c_ard_3-0-0_091075_2014-10-05_final
2014-10-06 09:23:28	ga_ls8c_ard_3-0-0_091076_2014-10-05_final
2014-10-06 09:23:52	ga_ls8c_ard_3-0-0_091077_2014-10-05_final
2014-10-06 09:24:16	ga_ls8c_ard_3-0-0_091078_2014-10-05_final
2014-10-06 09:24:40	ga_ls8c_ard_3-0-0_091079_2014-10-05_final
2014-10-06 09:25:04	ga_ls8c_ard_3-0-0_091080_2014-10-05_final
2014-10-06 09:25:28	ga_ls8c_ard_3-0-0_091081_2014-10-05_final
2014-10-06 09:25:52	ga_ls8c_ard_3-0-0_091082_2014-10-05_final
2014-10-06 09:26:16	ga_ls8c_ard_3-0-0_091083_2014-10-05_final
2014-10-06 09:26:40	ga_ls8c_ard_3-0-0_091084_2014-10-05_final
2014-10-06 09:27:04	ga_ls8c_ard_3-0-0_091085_2014-10-05_final
2014-10-06 09:27:28	ga_ls8c_ard_3-0-0_091086_2014-10-05_final
2014-10-06 09:27:52	ga_ls8c_ard_3-0-0_091087_2014-10-05_final
2014-10-06 09:28:16	ga_ls8c_ard_3-0-0_091088_2014-10-05_final
2014-10-06 09:28:40	ga_ls8c_ard_3-0-0_091089_2014-10-05_final
2014-10-06 09:29:04	ga_ls8c_ard_3-0-0_091090_2014-10-05_final
2014-10-06 10:58:46	ga_ls8c_ard_3-0-0_107067_2014-10-06_final
2014-10-06 10:59:58	ga_ls8c_ard_3-0-0_107070_2014-10-06_final
2014-10-06 11:00:21	ga_ls8c_ard_3-0-0_107071_2014-10-06_final
2014-10-06 11:00:45	ga_ls8c_ard_3-0-0_107072_2014-10-06_final
2014-10-06 11:01:09	ga_ls8c_ard_3-0-0_107073_2014-10-06_final
2014-10-06 11:01:33	ga_ls8c_ard_3-0-0_107074_2014-10-06_final
2014-10-06 11:01:57	ga_ls8c_ard_3-0-0_107075_2014-10-06_final
2014-10-06 11:02:21	ga_ls8c_ard_3-0-0_107076_2014-10-06_final
2014-10-06 11:02:45	ga_ls8c_ard_3-0-0_107077_2014-10-06_final
2014-10-06 11:03:09	ga_ls8c_ard_3-0-0_107078_2014-10-06_final
2014-10-06 11:03:33	ga_ls8c_ard_3-0-0_107079_2014-10-06_final
2014-10-06 11:03:57	ga_ls8c_ard_3-0-0_107080_2014-10-06_final
2014-10-06 11:04:21	ga_ls8c_ard_3-0-0_107081_2014-10-06_final
2014-10-06 11:04:45	ga_ls8c_ard_3-0-0_107082_2014-10-06_final
2014-10-06 11:05:09	ga_ls8c_ard_3-0-0_107083_2014-10-06_final
2014-10-06 11:05:33	ga_ls8c_ard_3-0-0_107084_2014-10-06_final
2014-10-07 10:03:09	ga_ls8c_ard_3-0-0_098067_2014-10-07_final
2014-10-07 10:03:33	ga_ls8c_ard_3-0-0_098068_2014-10-07_final
2014-10-07 10:03:56	ga_ls8c_ard_3-0-0_098069_2014-10-07_final
2014-10-07 10:04:20	ga_ls8c_ard_3-0-0_098070_2014-10-07_final
2014-10-07 10:04:44	ga_ls8c_ard_3-0-0_098071_2014-10-07_final
2014-10-07 10:05:08	ga_ls8c_ard_3-0-0_098072_2014-10-07_final
2014-10-07 10:05:32	ga_ls8c_ard_3-0-0_098073_2014-10-07_final
2014-10-07 10:05:56	ga_ls8c_ard_3-0-0_098074_2014-10-07_final
2014-10-07 10:06:20	ga_ls8c_ard_3-0-0_098075_2014-10-07_final
2014-10-07 10:06:44	ga_ls8c_ard_3-0-0_098076_2014-10-07_final
2014-10-07 10:07:08	ga_ls8c_ard_3-0-0_098077_2014-10-07_final
2014-10-07 10:07:32	ga_ls8c_ard_3-0-0_098078_2014-10-07_final
2014-10-07 10:07:56	ga_ls8c_ard_3-0-0_098079_2014-10-07_final
2014-10-07 10:08:20	ga_ls8c_ard_3-0-0_098080_2014-10-07_final
2014-10-07 10:08:44	ga_ls8c_ard_3-0-0_098081_2014-10-07_final
2014-10-07 10:09:08	ga_ls8c_ard_3-0-0_098082_2014-10-07_final
2014-10-07 10:09:32	ga_ls8c_ard_3-0-0_098083_2014-10-07_final
2014-10-07 10:09:56	ga_ls8c_ard_3-0-0_098084_2014-10-07_final
2014-10-07 10:10:20	ga_ls8c_ard_3-0-0_098085_2014-10-07_final
2014-10-07 11:42:02	ga_ls8c_ard_3-0-0_114067_2014-10-07_final
2014-10-07 11:44:49	ga_ls8c_ard_3-0-0_114074_2014-10-07_final
2014-10-07 11:45:13	ga_ls8c_ard_3-0-0_114075_2014-10-07_final
2014-10-07 11:45:37	ga_ls8c_ard_3-0-0_114076_2014-10-07_final
2014-10-07 11:46:01	ga_ls8c_ard_3-0-0_114077_2014-10-07_final
2014-10-07 11:46:25	ga_ls8c_ard_3-0-0_114078_2014-10-07_final
2014-10-07 11:46:49	ga_ls8c_ard_3-0-0_114079_2014-10-07_final
2014-10-07 11:47:13	ga_ls8c_ard_3-0-0_114080_2014-10-07_final
2014-10-07 11:47:37	ga_ls8c_ard_3-0-0_114081_2014-10-07_final
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-10-08 09:10:43	ga_ls8c_ard_3-0-0_089075_2014-10-07_final
2014-10-08 09:11:07	ga_ls8c_ard_3-0-0_089076_2014-10-07_final
2014-10-08 09:11:31	ga_ls8c_ard_3-0-0_089077_2014-10-07_final
2014-10-08 09:11:55	ga_ls8c_ard_3-0-0_089078_2014-10-07_final
2014-10-08 09:12:19	ga_ls8c_ard_3-0-0_089079_2014-10-07_final
2014-10-08 09:12:43	ga_ls8c_ard_3-0-0_089080_2014-10-07_final
2014-10-08 09:13:07	ga_ls8c_ard_3-0-0_089081_2014-10-07_final
2014-10-08 09:13:31	ga_ls8c_ard_3-0-0_089082_2014-10-07_final
2014-10-08 09:13:55	ga_ls8c_ard_3-0-0_089083_2014-10-07_final
2014-10-08 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-10-07_final
2014-10-08 09:14:42	ga_ls8c_ard_3-0-0_089085_2014-10-07_final
2014-10-08 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-10-07_final
2014-10-28 10:22:52	ga_ls8c_ard_3-0-0_101070_2014-10-28_final
2014-10-28 10:23:16	ga_ls8c_ard_3-0-0_101071_2014-10-28_final
2014-10-28 10:23:40	ga_ls8c_ard_3-1-0_101072_2014-10-28_final
2014-10-28 10:24:04	ga_ls8c_ard_3-0-0_101073_2014-10-28_final
2014-10-28 10:24:28	ga_ls8c_ard_3-0-0_101074_2014-10-28_final
2014-10-29 09:26:02	ga_ls8c_ard_3-0-0_092067_2014-10-28_final
2014-10-29 09:26:26	ga_ls8c_ard_3-0-0_092068_2014-10-28_final
2014-10-29 09:28:02	ga_ls8c_ard_3-0-0_092072_2014-10-28_final
2014-10-29 09:28:26	ga_ls8c_ard_3-0-0_092073_2014-10-28_final
2014-10-29 09:28:50	ga_ls8c_ard_3-0-0_092074_2014-10-28_final
2014-10-29 09:29:14	ga_ls8c_ard_3-0-0_092075_2014-10-28_final
2014-10-29 09:29:37	ga_ls8c_ard_3-0-0_092076_2014-10-28_final
2014-10-29 09:30:01	ga_ls8c_ard_3-0-0_092077_2014-10-29_final
2014-10-29 09:30:25	ga_ls8c_ard_3-0-0_092078_2014-10-29_final
2014-10-29 09:30:49	ga_ls8c_ard_3-0-0_092079_2014-10-29_final
2014-10-29 09:31:13	ga_ls8c_ard_3-0-0_092080_2014-10-29_final
2014-10-29 09:31:37	ga_ls8c_ard_3-0-0_092081_2014-10-29_final
2014-10-29 09:32:01	ga_ls8c_ard_3-0-0_092082_2014-10-29_final
2014-10-29 09:32:25	ga_ls8c_ard_3-0-0_092083_2014-10-29_final
2014-10-29 09:32:49	ga_ls8c_ard_3-0-0_092084_2014-10-29_final
2014-10-29 09:33:13	ga_ls8c_ard_3-0-0_092085_2014-10-29_final
2014-10-29 09:33:37	ga_ls8c_ard_3-0-0_092086_2014-10-29_final
2014-10-29 09:34:01	ga_ls8c_ard_3-0-0_092087_2014-10-29_final
2014-10-29 09:34:25	ga_ls8c_ard_3-0-0_092088_2014-10-29_final

Return to ga_ls8c_ard_3 across October 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

October

All days