Search ga_ls8c_ard_3 across December 2013

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
2013-12-13 09:30:38	ga_ls8c_ard_3-0-0_092075_2013-12-13_final
2013-12-13 09:31:02	ga_ls8c_ard_3-0-0_092076_2013-12-13_final
2013-12-13 09:31:26	ga_ls8c_ard_3-0-0_092077_2013-12-13_final
2013-12-13 09:31:49	ga_ls8c_ard_3-0-0_092078_2013-12-13_final
2013-12-13 09:32:13	ga_ls8c_ard_3-0-0_092079_2013-12-13_final
2013-12-13 09:32:37	ga_ls8c_ard_3-0-0_092080_2013-12-13_final
2013-12-13 09:33:01	ga_ls8c_ard_3-0-0_092081_2013-12-13_final
2013-12-13 09:33:25	ga_ls8c_ard_3-0-0_092082_2013-12-13_final
2013-12-13 09:33:49	ga_ls8c_ard_3-0-0_092083_2013-12-13_final
2013-12-13 09:34:13	ga_ls8c_ard_3-0-0_092084_2013-12-13_final
2013-12-13 09:34:37	ga_ls8c_ard_3-0-0_092085_2013-12-13_final
2013-12-13 09:35:01	ga_ls8c_ard_3-0-0_092086_2013-12-13_final
2013-12-13 09:35:25	ga_ls8c_ard_3-0-0_092087_2013-12-13_final
2013-12-13 09:35:49	ga_ls8c_ard_3-0-0_092088_2013-12-13_final
2013-12-13 09:36:13	ga_ls8c_ard_3-0-0_092089_2013-12-13_final
2013-12-13 11:07:07	ga_ls8c_ard_3-0-0_108069_2013-12-13_final
2013-12-13 11:07:31	ga_ls8c_ard_3-0-0_108070_2013-12-13_final
2013-12-13 11:09:31	ga_ls8c_ard_3-0-0_108075_2013-12-13_final
2013-12-13 11:09:55	ga_ls8c_ard_3-0-0_108076_2013-12-13_final
2013-12-14 10:10:41	ga_ls8c_ard_3-0-0_099067_2013-12-14_final
2013-12-14 10:11:05	ga_ls8c_ard_3-0-0_099068_2013-12-14_final
2013-12-14 10:11:29	ga_ls8c_ard_3-0-0_099069_2013-12-14_final
2013-12-14 10:11:53	ga_ls8c_ard_3-0-0_099070_2013-12-14_final
2013-12-14 10:12:17	ga_ls8c_ard_3-0-0_099071_2013-12-14_final
2013-12-14 10:12:41	ga_ls8c_ard_3-0-0_099072_2013-12-14_final
2013-12-14 10:13:05	ga_ls8c_ard_3-0-0_099073_2013-12-14_final
2013-12-14 10:13:29	ga_ls8c_ard_3-0-0_099074_2013-12-14_final
2013-12-14 10:13:53	ga_ls8c_ard_3-0-0_099075_2013-12-14_final
2013-12-14 10:14:17	ga_ls8c_ard_3-0-0_099076_2013-12-14_final
2013-12-14 10:14:40	ga_ls8c_ard_3-0-0_099077_2013-12-14_final
2013-12-14 10:15:04	ga_ls8c_ard_3-0-0_099078_2013-12-14_final
2013-12-14 10:15:28	ga_ls8c_ard_3-0-0_099079_2013-12-14_final
2013-12-14 10:15:52	ga_ls8c_ard_3-0-0_099080_2013-12-14_final
2013-12-14 10:16:16	ga_ls8c_ard_3-0-0_099081_2013-12-14_final
2013-12-14 10:16:40	ga_ls8c_ard_3-0-0_099082_2013-12-14_final
2013-12-14 10:17:04	ga_ls8c_ard_3-0-0_099083_2013-12-14_final
2013-12-14 10:17:28	ga_ls8c_ard_3-0-0_099084_2013-12-14_final
2013-12-15 09:18:14	ga_ls8c_ard_3-0-0_090075_2013-12-14_final
2013-12-15 09:18:38	ga_ls8c_ard_3-0-0_090076_2013-12-14_final
2013-12-15 09:19:02	ga_ls8c_ard_3-0-0_090077_2013-12-14_final
2013-12-15 09:19:26	ga_ls8c_ard_3-0-0_090078_2013-12-14_final
2013-12-15 09:19:50	ga_ls8c_ard_3-0-0_090079_2013-12-14_final
2013-12-15 09:20:14	ga_ls8c_ard_3-0-0_090080_2013-12-14_final
2013-12-15 09:20:38	ga_ls8c_ard_3-0-0_090081_2013-12-14_final
2013-12-15 09:21:02	ga_ls8c_ard_3-0-0_090082_2013-12-14_final
2013-12-15 09:21:26	ga_ls8c_ard_3-0-0_090083_2013-12-14_final
2013-12-15 09:21:50	ga_ls8c_ard_3-0-0_090084_2013-12-14_final
2013-12-15 09:22:14	ga_ls8c_ard_3-0-0_090085_2013-12-14_final
2013-12-15 09:22:38	ga_ls8c_ard_3-0-0_090086_2013-12-14_final
2013-12-15 09:23:02	ga_ls8c_ard_3-0-0_090087_2013-12-14_final
2013-12-15 09:23:26	ga_ls8c_ard_3-0-0_090088_2013-12-14_final
2013-12-15 09:23:50	ga_ls8c_ard_3-0-0_090089_2013-12-14_final
2013-12-15 09:24:14	ga_ls8c_ard_3-0-0_090090_2013-12-14_final
2013-12-30 10:10:33	ga_ls8c_ard_3-0-0_099067_2013-12-30_final
2013-12-30 10:10:57	ga_ls8c_ard_3-0-0_099068_2013-12-30_final
2013-12-30 10:11:20	ga_ls8c_ard_3-0-0_099069_2013-12-30_final
2013-12-30 10:11:44	ga_ls8c_ard_3-0-0_099070_2013-12-30_final
2013-12-30 10:12:08	ga_ls8c_ard_3-0-0_099071_2013-12-30_final
2013-12-30 10:12:32	ga_ls8c_ard_3-0-0_099072_2013-12-30_final
2013-12-30 10:12:56	ga_ls8c_ard_3-1-0_099073_2013-12-30_final
2013-12-30 10:13:20	ga_ls8c_ard_3-0-0_099074_2013-12-30_final
2013-12-30 10:13:44	ga_ls8c_ard_3-0-0_099075_2013-12-30_final
2013-12-30 10:14:08	ga_ls8c_ard_3-0-0_099076_2013-12-30_final
2013-12-30 10:14:32	ga_ls8c_ard_3-0-0_099077_2013-12-30_final
2013-12-30 10:14:56	ga_ls8c_ard_3-0-0_099078_2013-12-30_final
2013-12-30 10:15:20	ga_ls8c_ard_3-0-0_099079_2013-12-30_final
2013-12-30 10:15:44	ga_ls8c_ard_3-0-0_099080_2013-12-30_final
2013-12-30 10:16:08	ga_ls8c_ard_3-0-0_099081_2013-12-30_final
2013-12-30 10:16:32	ga_ls8c_ard_3-0-0_099082_2013-12-30_final
2013-12-30 10:16:56	ga_ls8c_ard_3-0-0_099083_2013-12-30_final
2013-12-30 10:17:20	ga_ls8c_ard_3-0-0_099084_2013-12-30_final
2013-12-30 11:54:37	ga_ls8c_ard_3-0-0_115080_2013-12-30_final
2013-12-31 09:18:06	ga_ls8c_ard_3-0-0_090075_2013-12-30_final
2013-12-31 09:18:30	ga_ls8c_ard_3-0-0_090076_2013-12-30_final
2013-12-31 09:18:54	ga_ls8c_ard_3-0-0_090077_2013-12-30_final
2013-12-31 09:19:18	ga_ls8c_ard_3-0-0_090078_2013-12-30_final
2013-12-31 09:19:42	ga_ls8c_ard_3-0-0_090079_2013-12-30_final
2013-12-31 09:20:06	ga_ls8c_ard_3-0-0_090080_2013-12-30_final
2013-12-31 09:20:30	ga_ls8c_ard_3-0-0_090081_2013-12-30_final
2013-12-31 09:20:54	ga_ls8c_ard_3-0-0_090082_2013-12-30_final
2013-12-31 09:21:18	ga_ls8c_ard_3-0-0_090083_2013-12-30_final
2013-12-31 09:21:42	ga_ls8c_ard_3-0-0_090084_2013-12-30_final
2013-12-31 09:22:06	ga_ls8c_ard_3-0-0_090085_2013-12-30_final
2013-12-31 09:22:30	ga_ls8c_ard_3-0-0_090086_2013-12-30_final
2013-12-31 09:22:54	ga_ls8c_ard_3-0-0_090087_2013-12-30_final
2013-12-31 09:23:18	ga_ls8c_ard_3-0-0_090088_2013-12-30_final
2013-12-31 09:23:42	ga_ls8c_ard_3-0-0_090089_2013-12-30_final
2013-12-31 09:24:06	ga_ls8c_ard_3-0-0_090090_2013-12-30_final
2013-12-31 10:53:48	ga_ls8c_ard_3-0-0_106067_2013-12-31_final
2013-12-31 10:54:12	ga_ls8c_ard_3-0-0_106068_2013-12-31_final
2013-12-31 10:54:36	ga_ls8c_ard_3-0-0_106069_2013-12-31_final
2013-12-31 10:55:00	ga_ls8c_ard_3-0-0_106070_2013-12-31_final
2013-12-31 10:55:23	ga_ls8c_ard_3-0-0_106071_2013-12-31_final
2013-12-31 10:55:47	ga_ls8c_ard_3-0-0_106072_2013-12-31_final
2013-12-31 10:56:11	ga_ls8c_ard_3-0-0_106073_2013-12-31_final
2013-12-31 10:56:35	ga_ls8c_ard_3-0-0_106074_2013-12-31_final
2013-12-31 10:56:59	ga_ls8c_ard_3-0-0_106075_2013-12-31_final
2013-12-31 10:58:59	ga_ls8c_ard_3-0-0_106080_2013-12-31_final
2013-12-31 10:59:23	ga_ls8c_ard_3-0-0_106081_2013-12-31_final
2013-12-31 10:59:47	ga_ls8c_ard_3-0-0_106082_2013-12-31_final

Return to ga_ls8c_ard_3 across December 2013 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

2013

December

All days