Search ga_ls8c_ard_3 across January 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
2016-01-06 09:16:22	ga_ls8c_ard_3-0-0_090074_2016-01-05_final
2016-01-06 09:16:46	ga_ls8c_ard_3-0-0_090075_2016-01-05_final
2016-01-06 09:17:10	ga_ls8c_ard_3-0-0_090076_2016-01-05_final
2016-01-06 09:17:34	ga_ls8c_ard_3-0-0_090077_2016-01-05_final
2016-01-06 09:17:58	ga_ls8c_ard_3-0-0_090078_2016-01-05_final
2016-01-06 09:18:22	ga_ls8c_ard_3-0-0_090079_2016-01-05_final
2016-01-06 09:18:46	ga_ls8c_ard_3-0-0_090080_2016-01-05_final
2016-01-06 09:19:10	ga_ls8c_ard_3-0-0_090081_2016-01-05_final
2016-01-06 09:19:34	ga_ls8c_ard_3-0-0_090082_2016-01-05_final
2016-01-06 09:19:58	ga_ls8c_ard_3-0-0_090083_2016-01-05_final
2016-01-06 09:20:22	ga_ls8c_ard_3-0-0_090084_2016-01-05_final
2016-01-06 09:20:46	ga_ls8c_ard_3-0-0_090085_2016-01-05_final
2016-01-06 09:21:10	ga_ls8c_ard_3-0-0_090086_2016-01-05_final
2016-01-06 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-01-05_final
2016-01-06 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-01-05_final
2016-01-06 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-01-05_final
2016-01-06 09:22:45	ga_ls8c_ard_3-0-0_090090_2016-01-05_final
2016-01-06 09:23:09	ga_ls8c_ard_3-0-0_090091_2016-01-05_final
2016-01-07 09:56:50	ga_ls8c_ard_3-0-0_097067_2016-01-07_final
2016-01-07 09:57:14	ga_ls8c_ard_3-0-0_097068_2016-01-07_final
2016-01-07 09:57:38	ga_ls8c_ard_3-0-0_097069_2016-01-07_final
2016-01-07 09:58:02	ga_ls8c_ard_3-0-0_097070_2016-01-07_final
2016-01-07 09:58:26	ga_ls8c_ard_3-0-0_097071_2016-01-07_final
2016-01-07 09:58:50	ga_ls8c_ard_3-0-0_097072_2016-01-07_final
2016-01-07 09:59:14	ga_ls8c_ard_3-0-0_097073_2016-01-07_final
2016-01-07 09:59:37	ga_ls8c_ard_3-0-0_097074_2016-01-07_final
2016-01-17 10:33:56	ga_ls8c_ard_3-0-0_103067_2016-01-17_final
2016-01-17 10:34:20	ga_ls8c_ard_3-0-0_103068_2016-01-17_final
2016-01-17 10:34:44	ga_ls8c_ard_3-0-0_103069_2016-01-17_final
2016-01-17 10:35:08	ga_ls8c_ard_3-0-0_103070_2016-01-17_final
2016-01-17 10:35:32	ga_ls8c_ard_3-0-0_103071_2016-01-17_final
2016-01-17 10:35:56	ga_ls8c_ard_3-0-0_103072_2016-01-17_final
2016-01-17 10:36:20	ga_ls8c_ard_3-0-0_103073_2016-01-17_final
2016-01-17 10:36:44	ga_ls8c_ard_3-0-0_103074_2016-01-17_final
2016-01-17 10:37:08	ga_ls8c_ard_3-0-0_103075_2016-01-17_final
2016-01-17 10:37:32	ga_ls8c_ard_3-0-0_103076_2016-01-17_final
2016-01-17 10:37:55	ga_ls8c_ard_3-0-0_103077_2016-01-17_final
2016-01-17 10:38:19	ga_ls8c_ard_3-0-0_103078_2016-01-17_final
2016-01-17 10:38:43	ga_ls8c_ard_3-1-0_103079_2016-01-17_final
2016-01-17 10:39:07	ga_ls8c_ard_3-0-0_103080_2016-01-17_final
2016-01-17 10:39:31	ga_ls8c_ard_3-0-0_103081_2016-01-17_final
2016-01-17 10:39:55	ga_ls8c_ard_3-0-0_103082_2016-01-17_final
2016-01-17 10:40:19	ga_ls8c_ard_3-0-0_103083_2016-01-17_final
2016-01-18 09:38:19	ga_ls8c_ard_3-0-0_094067_2016-01-18_final
2016-01-18 09:39:55	ga_ls8c_ard_3-0-0_094071_2016-01-18_final
2016-01-18 09:40:18	ga_ls8c_ard_3-0-0_094072_2016-01-18_final
2016-01-18 09:40:42	ga_ls8c_ard_3-0-0_094073_2016-01-18_final
2016-01-18 09:41:06	ga_ls8c_ard_3-0-0_094074_2016-01-18_final
2016-01-18 09:41:30	ga_ls8c_ard_3-0-0_094075_2016-01-18_final
2016-01-18 09:41:54	ga_ls8c_ard_3-0-0_094076_2016-01-18_final
2016-01-18 09:42:18	ga_ls8c_ard_3-0-0_094077_2016-01-18_final
2016-01-18 09:42:42	ga_ls8c_ard_3-0-0_094078_2016-01-18_final
2016-01-18 09:43:06	ga_ls8c_ard_3-0-0_094079_2016-01-18_final
2016-01-18 09:43:30	ga_ls8c_ard_3-0-0_094080_2016-01-18_final
2016-01-18 09:43:54	ga_ls8c_ard_3-0-0_094081_2016-01-18_final
2016-01-18 09:44:18	ga_ls8c_ard_3-0-0_094082_2016-01-18_final
2016-01-18 09:44:42	ga_ls8c_ard_3-0-0_094083_2016-01-18_final
2016-01-18 09:45:06	ga_ls8c_ard_3-0-0_094084_2016-01-18_final
2016-01-18 09:45:30	ga_ls8c_ard_3-0-0_094085_2016-01-18_final
2016-01-18 09:45:54	ga_ls8c_ard_3-0-0_094086_2016-01-18_final
2016-01-18 09:46:18	ga_ls8c_ard_3-0-0_094087_2016-01-18_final
2016-01-18 09:46:42	ga_ls8c_ard_3-0-0_094088_2016-01-18_final
2016-01-18 11:17:12	ga_ls8c_ard_3-0-0_110067_2016-01-18_final
2016-01-18 11:17:36	ga_ls8c_ard_3-0-0_110068_2016-01-18_final
2016-01-18 11:18:00	ga_ls8c_ard_3-0-0_110069_2016-01-18_final
2016-01-18 11:18:24	ga_ls8c_ard_3-0-0_110070_2016-01-18_final
2016-01-18 11:18:48	ga_ls8c_ard_3-0-0_110071_2016-01-18_final
2016-01-18 11:19:12	ga_ls8c_ard_3-0-0_110072_2016-01-18_final
2016-01-18 11:19:35	ga_ls8c_ard_3-0-0_110073_2016-01-18_final
2016-01-18 11:19:59	ga_ls8c_ard_3-0-0_110074_2016-01-18_final
2016-01-18 11:20:23	ga_ls8c_ard_3-0-0_110075_2016-01-18_final
2016-01-18 11:20:47	ga_ls8c_ard_3-0-0_110076_2016-01-18_final
2016-01-18 11:21:11	ga_ls8c_ard_3-0-0_110077_2016-01-18_final
2016-01-18 11:21:35	ga_ls8c_ard_3-0-0_110078_2016-01-18_final
2016-01-18 11:21:59	ga_ls8c_ard_3-0-0_110079_2016-01-18_final
2016-01-18 11:22:23	ga_ls8c_ard_3-0-0_110080_2016-01-18_final
2016-01-18 11:22:47	ga_ls8c_ard_3-0-0_110081_2016-01-18_final
2016-01-18 11:23:11	ga_ls8c_ard_3-0-0_110082_2016-01-18_final
2016-01-18 11:23:35	ga_ls8c_ard_3-0-0_110083_2016-01-18_final
2016-01-18 11:23:59	ga_ls8c_ard_3-0-0_110084_2016-01-18_final
2016-01-18 11:24:23	ga_ls8c_ard_3-0-0_110085_2016-01-18_final
2016-01-19 10:21:35	ga_ls8c_ard_3-0-0_101067_2016-01-19_final
2016-01-19 10:21:59	ga_ls8c_ard_3-0-0_101068_2016-01-19_final
2016-01-19 10:22:22	ga_ls8c_ard_3-0-0_101069_2016-01-19_final
2016-01-19 10:22:46	ga_ls8c_ard_3-0-0_101070_2016-01-19_final
2016-01-19 10:23:10	ga_ls8c_ard_3-0-0_101071_2016-01-19_final
2016-01-19 10:23:34	ga_ls8c_ard_3-0-0_101072_2016-01-19_final
2016-01-19 10:23:58	ga_ls8c_ard_3-0-0_101073_2016-01-19_final
2016-01-19 10:24:22	ga_ls8c_ard_3-0-0_101074_2016-01-19_final
2016-01-19 10:24:46	ga_ls8c_ard_3-0-0_101075_2016-01-19_final
2016-01-19 10:25:10	ga_ls8c_ard_3-0-0_101076_2016-01-19_final
2016-01-19 10:25:34	ga_ls8c_ard_3-0-0_101077_2016-01-19_final
2016-01-19 10:25:58	ga_ls8c_ard_3-0-0_101078_2016-01-19_final
2016-01-19 10:26:22	ga_ls8c_ard_3-0-0_101079_2016-01-19_final
2016-01-19 10:26:46	ga_ls8c_ard_3-0-0_101080_2016-01-19_final
2016-01-19 10:27:10	ga_ls8c_ard_3-0-0_101081_2016-01-19_final
2016-01-19 10:27:34	ga_ls8c_ard_3-0-0_101082_2016-01-19_final
2016-01-19 10:27:58	ga_ls8c_ard_3-0-0_101083_2016-01-19_final
2016-01-19 10:28:22	ga_ls8c_ard_3-0-0_101084_2016-01-19_final
2016-01-20 09:25:57	ga_ls8c_ard_3-0-0_092067_2016-01-19_final

Return to ga_ls8c_ard_3 across January 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

January

All days