Search ga_ls8c_ard_3 across December 2016

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
2016-12-11 10:27:58	ga_ls8c_ard_3-1-0_102067_2016-12-11_final
2016-12-11 10:28:22	ga_ls8c_ard_3-0-0_102068_2016-12-11_final
2016-12-11 10:28:46	ga_ls8c_ard_3-0-0_102069_2016-12-11_final
2016-12-11 10:29:10	ga_ls8c_ard_3-0-0_102070_2016-12-11_final
2016-12-11 10:29:34	ga_ls8c_ard_3-0-0_102071_2016-12-11_final
2016-12-11 10:29:57	ga_ls8c_ard_3-0-0_102072_2016-12-11_final
2016-12-11 10:30:21	ga_ls8c_ard_3-0-0_102073_2016-12-11_final
2016-12-11 10:30:45	ga_ls8c_ard_3-0-0_102074_2016-12-11_final
2016-12-11 10:31:09	ga_ls8c_ard_3-0-0_102075_2016-12-11_final
2016-12-11 10:31:33	ga_ls8c_ard_3-0-0_102076_2016-12-11_final
2016-12-11 10:31:57	ga_ls8c_ard_3-0-0_102077_2016-12-11_final
2016-12-11 10:32:21	ga_ls8c_ard_3-0-0_102078_2016-12-11_final
2016-12-11 10:32:45	ga_ls8c_ard_3-0-0_102079_2016-12-11_final
2016-12-11 10:33:09	ga_ls8c_ard_3-0-0_102080_2016-12-11_final
2016-12-11 10:33:33	ga_ls8c_ard_3-0-0_102081_2016-12-11_final
2016-12-11 10:33:57	ga_ls8c_ard_3-0-0_102082_2016-12-11_final
2016-12-11 10:34:21	ga_ls8c_ard_3-0-0_102083_2016-12-11_final
2016-12-12 09:32:20	ga_ls8c_ard_3-0-0_093067_2016-12-12_final
2016-12-12 09:32:44	ga_ls8c_ard_3-0-0_093068_2016-12-12_final
2016-12-12 09:33:56	ga_ls8c_ard_3-0-0_093071_2016-12-12_final
2016-12-12 09:34:20	ga_ls8c_ard_3-0-0_093072_2016-12-12_final
2016-12-12 09:34:44	ga_ls8c_ard_3-0-0_093073_2016-12-12_final
2016-12-12 09:35:08	ga_ls8c_ard_3-0-0_093074_2016-12-12_final
2016-12-12 09:35:32	ga_ls8c_ard_3-0-0_093075_2016-12-12_final
2016-12-12 09:35:56	ga_ls8c_ard_3-0-0_093076_2016-12-12_final
2016-12-12 09:36:20	ga_ls8c_ard_3-0-0_093077_2016-12-12_final
2016-12-12 09:36:44	ga_ls8c_ard_3-0-0_093078_2016-12-12_final
2016-12-12 09:37:07	ga_ls8c_ard_3-0-0_093079_2016-12-12_final
2016-12-12 09:37:31	ga_ls8c_ard_3-0-0_093080_2016-12-12_final
2016-12-12 09:37:55	ga_ls8c_ard_3-0-0_093081_2016-12-12_final
2016-12-12 09:38:19	ga_ls8c_ard_3-0-0_093082_2016-12-12_final
2016-12-12 09:38:43	ga_ls8c_ard_3-0-0_093083_2016-12-12_final
2016-12-12 09:39:07	ga_ls8c_ard_3-0-0_093084_2016-12-12_final
2016-12-12 09:39:31	ga_ls8c_ard_3-0-0_093085_2016-12-12_final
2016-12-12 09:39:55	ga_ls8c_ard_3-0-0_093086_2016-12-12_final
2016-12-12 09:40:19	ga_ls8c_ard_3-0-0_093087_2016-12-12_final
2016-12-12 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-12-12_final
2016-12-12 11:11:13	ga_ls8c_ard_3-0-0_109067_2016-12-12_final
2016-12-12 11:11:37	ga_ls8c_ard_3-0-0_109068_2016-12-12_final
2016-12-12 11:12:01	ga_ls8c_ard_3-0-0_109069_2016-12-12_final
2016-12-12 11:12:25	ga_ls8c_ard_3-0-0_109070_2016-12-12_final
2016-12-12 11:12:49	ga_ls8c_ard_3-0-0_109071_2016-12-12_final
2016-12-12 11:13:13	ga_ls8c_ard_3-0-0_109072_2016-12-12_final
2016-12-12 11:13:37	ga_ls8c_ard_3-0-0_109073_2016-12-12_final
2016-12-12 11:14:01	ga_ls8c_ard_3-0-0_109074_2016-12-12_final
2016-12-12 11:14:25	ga_ls8c_ard_3-0-0_109075_2016-12-12_final
2016-12-12 11:14:49	ga_ls8c_ard_3-0-0_109076_2016-12-12_final
2016-12-12 11:15:13	ga_ls8c_ard_3-0-0_109077_2016-12-12_final
2016-12-12 11:15:37	ga_ls8c_ard_3-0-0_109078_2016-12-12_final
2016-12-12 11:16:00	ga_ls8c_ard_3-0-0_109079_2016-12-12_final
2016-12-12 11:16:24	ga_ls8c_ard_3-0-0_109080_2016-12-12_final
2016-12-12 11:16:48	ga_ls8c_ard_3-0-0_109081_2016-12-12_final
2016-12-12 11:17:12	ga_ls8c_ard_3-0-0_109082_2016-12-12_final
2016-12-12 11:17:36	ga_ls8c_ard_3-0-0_109083_2016-12-12_final
2016-12-12 11:18:00	ga_ls8c_ard_3-0-0_109084_2016-12-12_final
2016-12-12 11:18:24	ga_ls8c_ard_3-0-0_109085_2016-12-12_final
2016-12-13 08:42:42	ga_ls8c_ard_3-2-1_084082_2016-12-12_final
2016-12-13 10:15:36	ga_ls8c_ard_3-0-0_100067_2016-12-13_final
2016-12-13 10:16:00	ga_ls8c_ard_3-0-0_100068_2016-12-13_final
2016-12-13 10:16:23	ga_ls8c_ard_3-0-0_100069_2016-12-13_final
2016-12-13 10:16:47	ga_ls8c_ard_3-0-0_100070_2016-12-13_final
2016-12-13 10:17:11	ga_ls8c_ard_3-0-0_100071_2016-12-13_final
2016-12-13 10:17:35	ga_ls8c_ard_3-0-0_100072_2016-12-13_final
2016-12-13 10:17:59	ga_ls8c_ard_3-0-0_100073_2016-12-13_final
2016-12-13 10:18:23	ga_ls8c_ard_3-0-0_100074_2016-12-13_final
2016-12-13 10:18:47	ga_ls8c_ard_3-0-0_100075_2016-12-13_final
2016-12-13 10:19:11	ga_ls8c_ard_3-0-0_100076_2016-12-13_final
2016-12-13 10:19:35	ga_ls8c_ard_3-0-0_100077_2016-12-13_final
2016-12-13 10:19:59	ga_ls8c_ard_3-0-0_100078_2016-12-13_final
2016-12-13 10:20:23	ga_ls8c_ard_3-0-0_100079_2016-12-13_final
2016-12-13 10:20:47	ga_ls8c_ard_3-0-0_100080_2016-12-13_final
2016-12-13 10:21:11	ga_ls8c_ard_3-0-0_100081_2016-12-13_final
2016-12-13 10:21:35	ga_ls8c_ard_3-0-0_100082_2016-12-13_final
2016-12-13 10:21:59	ga_ls8c_ard_3-0-0_100083_2016-12-13_final
2016-12-13 10:22:23	ga_ls8c_ard_3-0-0_100084_2016-12-13_final
2016-12-13 10:22:47	ga_ls8c_ard_3-0-0_100085_2016-12-13_final
2016-12-13 11:57:16	ga_ls8c_ard_3-0-0_116074_2016-12-13_final
2016-12-13 11:57:40	ga_ls8c_ard_3-0-0_116075_2016-12-13_final
2016-12-13 11:58:04	ga_ls8c_ard_3-0-0_116076_2016-12-13_final
2016-12-13 11:58:28	ga_ls8c_ard_3-0-0_116077_2016-12-13_final
2016-12-13 11:58:52	ga_ls8c_ard_3-0-0_116078_2016-12-13_final
2016-12-14 09:20:22	ga_ls8c_ard_3-0-0_091068_2016-12-13_final
2016-12-19 09:38:29	ga_ls8c_ard_3-0-0_094067_2016-12-19_final
2016-12-19 09:40:04	ga_ls8c_ard_3-0-0_094071_2016-12-19_final
2016-12-19 09:40:28	ga_ls8c_ard_3-0-0_094072_2016-12-19_final
2016-12-19 09:40:52	ga_ls8c_ard_3-0-0_094073_2016-12-19_final
2016-12-19 09:41:16	ga_ls8c_ard_3-0-0_094074_2016-12-19_final
2016-12-19 09:41:40	ga_ls8c_ard_3-0-0_094075_2016-12-19_final
2016-12-19 09:42:04	ga_ls8c_ard_3-0-0_094076_2016-12-19_final
2016-12-19 09:42:28	ga_ls8c_ard_3-0-0_094077_2016-12-19_final
2016-12-19 09:42:52	ga_ls8c_ard_3-0-0_094078_2016-12-19_final
2016-12-19 09:43:16	ga_ls8c_ard_3-0-0_094079_2016-12-19_final
2016-12-19 09:43:40	ga_ls8c_ard_3-0-0_094080_2016-12-19_final
2016-12-19 09:44:04	ga_ls8c_ard_3-0-0_094081_2016-12-19_final
2016-12-19 09:44:28	ga_ls8c_ard_3-0-0_094082_2016-12-19_final
2016-12-19 09:44:52	ga_ls8c_ard_3-0-0_094083_2016-12-19_final
2016-12-19 09:45:15	ga_ls8c_ard_3-0-0_094084_2016-12-19_final
2016-12-19 09:45:39	ga_ls8c_ard_3-0-0_094085_2016-12-19_final
2016-12-19 09:46:03	ga_ls8c_ard_3-0-0_094086_2016-12-19_final
2016-12-21 09:26:06	ga_ls8c_ard_3-0-0_092067_2016-12-20_final

Return to ga_ls8c_ard_3 across December 2016 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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2016

December

All days