Search ga_ls8c_ard_3 across July 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
2014-07-04 09:09:55	ga_ls8c_ard_3-0-0_089074_2014-07-03_final
2014-07-04 09:10:19	ga_ls8c_ard_3-0-0_089075_2014-07-03_final
2014-07-04 09:10:43	ga_ls8c_ard_3-0-0_089076_2014-07-03_final
2014-07-04 09:11:07	ga_ls8c_ard_3-0-0_089077_2014-07-03_final
2014-07-04 09:11:31	ga_ls8c_ard_3-0-0_089078_2014-07-03_final
2014-07-04 09:11:55	ga_ls8c_ard_3-0-0_089079_2014-07-03_final
2014-07-04 09:12:19	ga_ls8c_ard_3-0-0_089080_2014-07-03_final
2014-07-04 09:12:43	ga_ls8c_ard_3-0-0_089081_2014-07-03_final
2014-07-04 09:13:07	ga_ls8c_ard_3-0-0_089082_2014-07-03_final
2014-07-04 09:13:31	ga_ls8c_ard_3-0-0_089083_2014-07-03_final
2014-07-04 09:13:55	ga_ls8c_ard_3-0-0_089084_2014-07-03_final
2014-07-04 09:14:19	ga_ls8c_ard_3-0-0_089085_2014-07-03_final
2014-07-04 09:14:43	ga_ls8c_ard_3-0-0_089086_2014-07-03_final
2014-07-04 09:15:54	ga_ls8c_ard_3-0-0_089089_2014-07-03_final
2014-07-04 09:16:18	ga_ls8c_ard_3-0-0_089090_2014-07-03_final
2014-07-04 10:46:25	ga_ls8c_ard_3-0-0_105068_2014-07-04_final
2014-07-04 10:46:49	ga_ls8c_ard_3-0-0_105069_2014-07-04_final
2014-07-04 10:47:13	ga_ls8c_ard_3-0-0_105070_2014-07-04_final
2014-07-04 10:47:36	ga_ls8c_ard_3-0-0_105071_2014-07-04_final
2014-07-04 10:48:00	ga_ls8c_ard_3-0-0_105072_2014-07-04_final
2014-07-04 10:48:24	ga_ls8c_ard_3-0-0_105073_2014-07-04_final
2014-07-04 10:48:48	ga_ls8c_ard_3-0-0_105074_2014-07-04_final
2014-07-04 10:49:12	ga_ls8c_ard_3-0-0_105075_2014-07-04_final
2014-07-04 10:49:36	ga_ls8c_ard_3-0-0_105076_2014-07-04_final
2014-07-04 10:50:00	ga_ls8c_ard_3-0-0_105077_2014-07-04_final
2014-07-04 10:50:24	ga_ls8c_ard_3-0-0_105078_2014-07-04_final
2014-07-04 10:50:48	ga_ls8c_ard_3-0-0_105079_2014-07-04_final
2014-07-04 10:51:12	ga_ls8c_ard_3-0-0_105080_2014-07-04_final
2014-07-04 10:51:36	ga_ls8c_ard_3-0-0_105081_2014-07-04_final
2014-07-04 10:52:00	ga_ls8c_ard_3-0-0_105082_2014-07-04_final
2014-07-05 09:50:24	ga_ls8c_ard_3-0-0_096067_2014-07-05_final
2014-07-05 09:51:36	ga_ls8c_ard_3-0-0_096070_2014-07-05_final
2014-07-05 09:52:00	ga_ls8c_ard_3-0-0_096071_2014-07-05_final
2014-07-05 09:52:24	ga_ls8c_ard_3-0-0_096072_2014-07-05_final
2014-07-05 09:52:48	ga_ls8c_ard_3-0-0_096073_2014-07-05_final
2014-07-05 09:53:12	ga_ls8c_ard_3-0-0_096074_2014-07-05_final
2014-07-05 09:53:35	ga_ls8c_ard_3-0-0_096075_2014-07-05_final
2014-07-05 09:53:59	ga_ls8c_ard_3-0-0_096076_2014-07-05_final
2014-07-05 09:54:23	ga_ls8c_ard_3-0-0_096077_2014-07-05_final
2014-07-05 09:54:47	ga_ls8c_ard_3-0-0_096078_2014-07-05_final
2014-07-05 09:55:11	ga_ls8c_ard_3-0-0_096079_2014-07-05_final
2014-07-05 09:55:35	ga_ls8c_ard_3-0-0_096080_2014-07-05_final
2014-07-05 09:55:59	ga_ls8c_ard_3-0-0_096081_2014-07-05_final
2014-07-05 09:56:23	ga_ls8c_ard_3-0-0_096082_2014-07-05_final
2014-07-05 09:56:47	ga_ls8c_ard_3-0-0_096083_2014-07-05_final
2014-07-05 09:57:11	ga_ls8c_ard_3-0-0_096084_2014-07-05_final
2014-07-05 09:57:35	ga_ls8c_ard_3-0-0_096085_2014-07-05_final
2014-07-05 09:57:59	ga_ls8c_ard_3-0-0_096086_2014-07-05_final
2014-07-05 11:29:17	ga_ls8c_ard_3-0-0_112067_2014-07-05_final
2014-07-05 11:29:41	ga_ls8c_ard_3-0-0_112068_2014-07-05_final
2014-07-05 11:30:05	ga_ls8c_ard_3-0-0_112069_2014-07-05_final
2014-07-05 11:30:29	ga_ls8c_ard_3-0-0_112070_2014-07-05_final
2014-07-05 11:30:53	ga_ls8c_ard_3-0-0_112071_2014-07-05_final
2014-07-05 11:31:17	ga_ls8c_ard_3-0-0_112072_2014-07-05_final
2014-07-05 11:31:41	ga_ls8c_ard_3-0-0_112073_2014-07-05_final
2014-07-05 11:32:05	ga_ls8c_ard_3-0-0_112074_2014-07-05_final
2014-07-05 11:32:29	ga_ls8c_ard_3-0-0_112075_2014-07-05_final
2014-07-05 11:32:53	ga_ls8c_ard_3-0-0_112076_2014-07-05_final
2014-07-05 11:33:16	ga_ls8c_ard_3-0-0_112077_2014-07-05_final
2014-07-05 11:33:40	ga_ls8c_ard_3-0-0_112078_2014-07-05_final
2014-07-05 11:34:04	ga_ls8c_ard_3-0-0_112079_2014-07-05_final
2014-07-05 11:34:28	ga_ls8c_ard_3-0-0_112080_2014-07-05_final
2014-07-05 11:34:52	ga_ls8c_ard_3-0-0_112081_2014-07-05_final
2014-07-05 11:35:16	ga_ls8c_ard_3-0-0_112082_2014-07-05_final
2014-07-05 11:35:40	ga_ls8c_ard_3-0-0_112083_2014-07-05_final
2014-07-05 11:36:04	ga_ls8c_ard_3-0-0_112084_2014-07-05_final
2014-07-06 10:34:04	ga_ls8c_ard_3-0-0_103068_2014-07-06_final
2014-07-06 10:34:28	ga_ls8c_ard_3-0-0_103069_2014-07-06_final
2014-07-06 10:34:52	ga_ls8c_ard_3-0-0_103070_2014-07-06_final
2014-07-06 10:35:16	ga_ls8c_ard_3-0-0_103071_2014-07-06_final
2014-07-06 10:35:40	ga_ls8c_ard_3-0-0_103072_2014-07-06_final
2014-07-06 10:36:04	ga_ls8c_ard_3-0-0_103073_2014-07-06_final
2014-07-06 10:36:28	ga_ls8c_ard_3-0-0_103074_2014-07-06_final
2014-07-06 10:36:52	ga_ls8c_ard_3-0-0_103075_2014-07-06_final
2014-07-06 10:37:16	ga_ls8c_ard_3-0-0_103076_2014-07-06_final
2014-07-06 10:37:40	ga_ls8c_ard_3-1-0_103077_2014-07-06_final
2014-07-06 10:38:04	ga_ls8c_ard_3-0-0_103078_2014-07-06_final
2014-07-06 10:38:28	ga_ls8c_ard_3-0-0_103079_2014-07-06_final
2014-07-06 10:38:52	ga_ls8c_ard_3-0-0_103080_2014-07-06_final
2014-07-06 10:39:15	ga_ls8c_ard_3-0-0_103081_2014-07-06_final
2014-07-06 10:39:39	ga_ls8c_ard_3-0-0_103082_2014-07-06_final
2014-07-07 09:38:04	ga_ls8c_ard_3-0-0_094067_2014-07-07_final
2014-07-07 09:39:39	ga_ls8c_ard_3-0-0_094071_2014-07-07_final
2014-07-07 11:16:57	ga_ls8c_ard_3-0-0_110067_2014-07-07_final
2014-07-07 11:17:21	ga_ls8c_ard_3-0-0_110068_2014-07-07_final
2014-07-07 11:17:44	ga_ls8c_ard_3-0-0_110069_2014-07-07_final
2014-07-07 11:18:08	ga_ls8c_ard_3-0-0_110070_2014-07-07_final
2014-07-07 11:18:32	ga_ls8c_ard_3-0-0_110071_2014-07-07_final
2014-07-07 11:18:56	ga_ls8c_ard_3-0-0_110072_2014-07-07_final
2014-07-07 11:19:20	ga_ls8c_ard_3-0-0_110073_2014-07-07_final
2014-07-07 11:19:44	ga_ls8c_ard_3-0-0_110074_2014-07-07_final
2014-07-07 11:20:08	ga_ls8c_ard_3-0-0_110075_2014-07-07_final
2014-07-07 11:20:32	ga_ls8c_ard_3-0-0_110076_2014-07-07_final
2014-07-07 11:20:56	ga_ls8c_ard_3-0-0_110077_2014-07-07_final
2014-07-07 11:21:20	ga_ls8c_ard_3-0-0_110078_2014-07-07_final
2014-07-07 11:21:44	ga_ls8c_ard_3-0-0_110079_2014-07-07_final
2014-07-07 11:22:08	ga_ls8c_ard_3-0-0_110080_2014-07-07_final
2014-07-07 11:22:32	ga_ls8c_ard_3-0-0_110081_2014-07-07_final
2014-07-07 11:22:56	ga_ls8c_ard_3-0-0_110082_2014-07-07_final
2014-07-07 11:23:20	ga_ls8c_ard_3-0-0_110083_2014-07-07_final

Return to ga_ls8c_ard_3 across July 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

July

All days