Search ga_ls8c_ard_3 across January 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
2014-01-01 09:58:58	ga_ls8c_ard_3-0-0_097069_2014-01-01_final
2014-01-01 09:59:22	ga_ls8c_ard_3-0-0_097070_2014-01-01_final
2014-01-01 09:59:46	ga_ls8c_ard_3-0-0_097071_2014-01-01_final
2014-01-01 10:00:10	ga_ls8c_ard_3-0-0_097072_2014-01-01_final
2014-01-01 10:00:33	ga_ls8c_ard_3-0-0_097073_2014-01-01_final
2014-01-01 10:00:57	ga_ls8c_ard_3-0-0_097074_2014-01-01_final
2014-01-01 10:01:21	ga_ls8c_ard_3-0-0_097075_2014-01-01_final
2014-01-01 10:01:45	ga_ls8c_ard_3-0-0_097076_2014-01-01_final
2014-01-01 10:02:09	ga_ls8c_ard_3-0-0_097077_2014-01-01_final
2014-01-01 10:02:33	ga_ls8c_ard_3-0-0_097078_2014-01-01_final
2014-01-01 10:02:57	ga_ls8c_ard_3-0-0_097079_2014-01-01_final
2014-01-01 10:03:21	ga_ls8c_ard_3-0-0_097080_2014-01-01_final
2014-01-01 10:03:45	ga_ls8c_ard_3-0-0_097081_2014-01-01_final
2014-01-01 10:04:09	ga_ls8c_ard_3-0-0_097082_2014-01-01_final
2014-01-01 10:04:33	ga_ls8c_ard_3-0-0_097083_2014-01-01_final
2014-01-01 11:37:03	ga_ls8c_ard_3-0-0_113067_2014-01-01_final
2014-01-01 11:43:02	ga_ls8c_ard_3-0-0_113082_2014-01-01_final
2014-01-01 11:43:26	ga_ls8c_ard_3-0-0_113083_2014-01-01_final
2014-01-01 11:43:50	ga_ls8c_ard_3-0-0_113084_2014-01-01_final
2014-01-11 10:35:30	ga_ls8c_ard_3-0-0_103068_2014-01-11_final
2014-01-11 10:35:53	ga_ls8c_ard_3-0-0_103069_2014-01-11_final
2014-01-11 10:36:17	ga_ls8c_ard_3-0-0_103070_2014-01-11_final
2014-01-11 10:36:41	ga_ls8c_ard_3-0-0_103071_2014-01-11_final
2014-01-11 10:37:05	ga_ls8c_ard_3-0-0_103072_2014-01-11_final
2014-01-11 10:37:29	ga_ls8c_ard_3-0-0_103073_2014-01-11_final
2014-01-11 10:37:53	ga_ls8c_ard_3-0-0_103074_2014-01-11_final
2014-01-11 10:38:17	ga_ls8c_ard_3-0-0_103075_2014-01-11_final
2014-01-11 10:38:41	ga_ls8c_ard_3-0-0_103076_2014-01-11_final
2014-01-11 10:39:05	ga_ls8c_ard_3-0-0_103077_2014-01-11_final
2014-01-11 10:39:29	ga_ls8c_ard_3-0-0_103078_2014-01-11_final
2014-01-11 10:39:53	ga_ls8c_ard_3-0-0_103079_2014-01-11_final
2014-01-11 10:40:17	ga_ls8c_ard_3-0-0_103080_2014-01-11_final
2014-01-11 10:40:41	ga_ls8c_ard_3-0-0_103081_2014-01-11_final
2014-01-11 10:41:05	ga_ls8c_ard_3-0-0_103082_2014-01-11_final
2014-01-12 09:39:27	ga_ls8c_ard_3-0-0_094067_2014-01-12_final
2014-01-12 09:41:51	ga_ls8c_ard_3-0-0_094073_2014-01-12_final
2014-01-12 09:42:15	ga_ls8c_ard_3-0-0_094074_2014-01-12_final
2014-01-12 09:42:39	ga_ls8c_ard_3-0-0_094075_2014-01-12_final
2014-01-12 09:43:03	ga_ls8c_ard_3-0-0_094076_2014-01-12_final
2014-01-12 09:43:26	ga_ls8c_ard_3-0-0_094077_2014-01-12_final
2014-01-12 09:43:50	ga_ls8c_ard_3-0-0_094078_2014-01-12_final
2014-01-12 09:44:14	ga_ls8c_ard_3-0-0_094079_2014-01-12_final
2014-01-12 09:44:38	ga_ls8c_ard_3-0-0_094080_2014-01-12_final
2014-01-12 09:45:02	ga_ls8c_ard_3-0-0_094081_2014-01-12_final
2014-01-12 09:45:26	ga_ls8c_ard_3-0-0_094082_2014-01-12_final
2014-01-12 09:45:50	ga_ls8c_ard_3-0-0_094083_2014-01-12_final
2014-01-12 09:46:14	ga_ls8c_ard_3-0-0_094084_2014-01-12_final
2014-01-12 09:46:38	ga_ls8c_ard_3-0-0_094085_2014-01-12_final
2014-01-12 09:47:02	ga_ls8c_ard_3-0-0_094086_2014-01-12_final
2014-01-12 09:47:26	ga_ls8c_ard_3-0-0_094087_2014-01-12_final
2014-01-12 11:19:56	ga_ls8c_ard_3-0-0_110071_2014-01-12_final
2014-01-12 11:20:20	ga_ls8c_ard_3-0-0_110072_2014-01-12_final
2014-01-12 11:20:44	ga_ls8c_ard_3-0-0_110073_2014-01-12_final
2014-01-12 11:21:08	ga_ls8c_ard_3-0-0_110074_2014-01-12_final
2014-01-12 11:21:32	ga_ls8c_ard_3-0-0_110075_2014-01-12_final
2014-01-12 11:21:55	ga_ls8c_ard_3-0-0_110076_2014-01-12_final
2014-01-12 11:22:19	ga_ls8c_ard_3-0-0_110077_2014-01-12_final
2014-01-12 11:22:43	ga_ls8c_ard_3-0-0_110078_2014-01-12_final
2014-01-12 11:23:07	ga_ls8c_ard_3-0-0_110079_2014-01-12_final
2014-01-12 11:23:31	ga_ls8c_ard_3-0-0_110080_2014-01-12_final
2014-01-12 11:23:55	ga_ls8c_ard_3-0-0_110081_2014-01-12_final
2014-01-12 11:24:19	ga_ls8c_ard_3-0-0_110082_2014-01-12_final
2014-01-13 10:26:17	ga_ls8c_ard_3-0-0_101076_2014-01-13_final
2014-01-13 10:26:41	ga_ls8c_ard_3-0-0_101077_2014-01-13_final
2014-01-13 10:27:05	ga_ls8c_ard_3-0-0_101078_2014-01-13_final
2014-01-13 10:27:29	ga_ls8c_ard_3-0-0_101079_2014-01-13_final
2014-01-13 10:27:53	ga_ls8c_ard_3-0-0_101080_2014-01-13_final
2014-01-13 10:28:17	ga_ls8c_ard_3-0-0_101081_2014-01-13_final
2014-01-13 10:28:41	ga_ls8c_ard_3-0-0_101082_2014-01-13_final
2014-01-13 10:29:05	ga_ls8c_ard_3-0-0_101083_2014-01-13_final
2014-01-14 09:27:03	ga_ls8c_ard_3-0-0_092067_2014-01-13_final
2014-01-14 09:27:27	ga_ls8c_ard_3-0-0_092068_2014-01-13_final
2014-01-14 09:30:14	ga_ls8c_ard_3-0-0_092075_2014-01-14_final
2014-01-14 09:30:38	ga_ls8c_ard_3-0-0_092076_2014-01-14_final
2014-01-14 09:31:02	ga_ls8c_ard_3-0-0_092077_2014-01-14_final
2014-01-14 09:31:26	ga_ls8c_ard_3-0-0_092078_2014-01-14_final
2014-01-14 09:31:50	ga_ls8c_ard_3-0-0_092079_2014-01-14_final
2014-01-14 09:32:14	ga_ls8c_ard_3-0-0_092080_2014-01-14_final
2014-01-14 09:32:38	ga_ls8c_ard_3-0-0_092081_2014-01-14_final
2014-01-14 09:33:02	ga_ls8c_ard_3-0-0_092082_2014-01-14_final
2014-01-14 09:33:26	ga_ls8c_ard_3-0-0_092083_2014-01-14_final
2014-01-14 09:33:50	ga_ls8c_ard_3-0-0_092084_2014-01-14_final
2014-01-14 09:34:14	ga_ls8c_ard_3-0-0_092085_2014-01-14_final
2014-01-14 09:34:38	ga_ls8c_ard_3-0-0_092086_2014-01-14_final
2014-01-14 09:35:02	ga_ls8c_ard_3-0-0_092087_2014-01-14_final
2014-01-14 09:35:26	ga_ls8c_ard_3-0-0_092088_2014-01-14_final
2014-01-14 09:35:50	ga_ls8c_ard_3-0-0_092089_2014-01-14_final
2014-01-14 11:07:32	ga_ls8c_ard_3-0-0_108071_2014-01-14_final
2014-01-14 11:07:55	ga_ls8c_ard_3-0-0_108072_2014-01-14_final
2014-01-14 11:08:19	ga_ls8c_ard_3-0-0_108073_2014-01-14_final
2014-01-14 11:08:43	ga_ls8c_ard_3-0-0_108074_2014-01-14_final
2014-01-14 11:09:07	ga_ls8c_ard_3-0-0_108075_2014-01-14_final
2014-01-14 11:09:31	ga_ls8c_ard_3-0-0_108076_2014-01-14_final
2014-01-14 11:09:55	ga_ls8c_ard_3-0-0_108077_2014-01-14_final
2014-01-14 11:10:19	ga_ls8c_ard_3-0-0_108078_2014-01-14_final
2014-01-14 11:10:43	ga_ls8c_ard_3-0-0_108079_2014-01-14_final
2014-01-14 11:11:07	ga_ls8c_ard_3-0-0_108080_2014-01-14_final
2014-01-14 11:11:31	ga_ls8c_ard_3-0-0_108081_2014-01-14_final
2014-01-14 11:11:55	ga_ls8c_ard_3-0-0_108082_2014-01-14_final
2014-01-14 11:12:19	ga_ls8c_ard_3-0-0_108083_2014-01-14_final

Return to ga_ls8c_ard_3 across January 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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2014

January

All days