Search ga_ls8c_ard_3 across June 2015

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
2015-06-04 10:02:07	ga_ls8c_ard_3-0-0_098067_2015-06-04_final
2015-06-04 10:02:31	ga_ls8c_ard_3-0-0_098068_2015-06-04_final
2015-06-04 10:02:54	ga_ls8c_ard_3-0-0_098069_2015-06-04_final
2015-06-04 10:03:18	ga_ls8c_ard_3-0-0_098070_2015-06-04_final
2015-06-04 10:03:42	ga_ls8c_ard_3-0-0_098071_2015-06-04_final
2015-06-04 10:04:06	ga_ls8c_ard_3-0-0_098072_2015-06-04_final
2015-06-04 10:04:30	ga_ls8c_ard_3-0-0_098073_2015-06-04_final
2015-06-04 10:04:54	ga_ls8c_ard_3-0-0_098074_2015-06-04_final
2015-06-04 10:05:18	ga_ls8c_ard_3-0-0_098075_2015-06-04_final
2015-06-04 10:05:42	ga_ls8c_ard_3-0-0_098076_2015-06-04_final
2015-06-04 10:06:06	ga_ls8c_ard_3-1-0_098077_2015-06-04_final
2015-06-04 10:06:30	ga_ls8c_ard_3-0-0_098078_2015-06-04_final
2015-06-04 10:06:54	ga_ls8c_ard_3-1-0_098079_2015-06-04_final
2015-06-04 10:07:18	ga_ls8c_ard_3-0-0_098080_2015-06-04_final
2015-06-04 10:07:42	ga_ls8c_ard_3-0-0_098081_2015-06-04_final
2015-06-04 10:08:06	ga_ls8c_ard_3-0-0_098082_2015-06-04_final
2015-06-04 10:08:30	ga_ls8c_ard_3-0-0_098083_2015-06-04_final
2015-06-04 10:08:54	ga_ls8c_ard_3-0-0_098084_2015-06-04_final
2015-06-04 10:09:18	ga_ls8c_ard_3-0-0_098085_2015-06-04_final
2015-06-04 10:09:42	ga_ls8c_ard_3-0-0_098086_2015-06-04_final
2015-06-04 11:41:00	ga_ls8c_ard_3-0-0_114067_2015-06-04_final
2015-06-04 11:43:47	ga_ls8c_ard_3-0-0_114074_2015-06-04_final
2015-06-04 11:44:11	ga_ls8c_ard_3-0-0_114075_2015-06-04_final
2015-06-04 11:44:35	ga_ls8c_ard_3-0-0_114076_2015-06-04_final
2015-06-04 11:44:59	ga_ls8c_ard_3-0-0_114077_2015-06-04_final
2015-06-04 11:45:23	ga_ls8c_ard_3-0-0_114078_2015-06-04_final
2015-06-04 11:45:47	ga_ls8c_ard_3-0-0_114079_2015-06-04_final
2015-06-04 11:46:11	ga_ls8c_ard_3-0-0_114080_2015-06-04_final
2015-06-04 11:46:35	ga_ls8c_ard_3-0-0_114081_2015-06-04_final
2015-06-05 09:09:18	ga_ls8c_ard_3-0-0_089074_2015-06-04_final
2015-06-05 09:09:42	ga_ls8c_ard_3-0-0_089075_2015-06-04_final
2015-06-05 09:10:06	ga_ls8c_ard_3-0-0_089076_2015-06-04_final
2015-06-05 09:10:30	ga_ls8c_ard_3-0-0_089077_2015-06-04_final
2015-06-05 09:10:53	ga_ls8c_ard_3-0-0_089078_2015-06-04_final
2015-06-05 09:11:17	ga_ls8c_ard_3-0-0_089079_2015-06-04_final
2015-06-05 09:11:41	ga_ls8c_ard_3-0-0_089080_2015-06-04_final
2015-06-05 09:12:05	ga_ls8c_ard_3-0-0_089081_2015-06-04_final
2015-06-05 09:12:29	ga_ls8c_ard_3-0-0_089082_2015-06-04_final
2015-06-05 09:12:53	ga_ls8c_ard_3-0-0_089083_2015-06-04_final
2015-06-05 09:13:17	ga_ls8c_ard_3-0-0_089084_2015-06-04_final
2015-06-05 09:13:41	ga_ls8c_ard_3-0-0_089085_2015-06-04_final
2015-06-05 09:14:05	ga_ls8c_ard_3-0-0_089086_2015-06-04_final
2015-06-05 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-06-04_final
2015-06-05 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-06-04_final
2015-06-05 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-06-04_final
2015-06-05 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-06-04_final
2015-06-05 10:45:23	ga_ls8c_ard_3-0-0_105067_2015-06-05_final
2015-06-05 10:45:47	ga_ls8c_ard_3-0-0_105068_2015-06-05_final
2015-06-05 10:46:11	ga_ls8c_ard_3-0-0_105069_2015-06-05_final
2015-06-05 10:46:35	ga_ls8c_ard_3-0-0_105070_2015-06-05_final
2015-06-05 10:46:59	ga_ls8c_ard_3-0-0_105071_2015-06-05_final
2015-06-05 10:47:23	ga_ls8c_ard_3-0-0_105072_2015-06-05_final
2015-06-05 10:47:47	ga_ls8c_ard_3-0-0_105073_2015-06-05_final
2015-06-05 10:48:11	ga_ls8c_ard_3-0-0_105074_2015-06-05_final
2015-06-05 10:48:35	ga_ls8c_ard_3-0-0_105075_2015-06-05_final
2015-06-05 10:48:59	ga_ls8c_ard_3-0-0_105076_2015-06-05_final
2015-06-05 10:49:23	ga_ls8c_ard_3-0-0_105077_2015-06-05_final
2015-06-05 10:49:47	ga_ls8c_ard_3-0-0_105078_2015-06-05_final
2015-06-05 10:50:10	ga_ls8c_ard_3-0-0_105079_2015-06-05_final
2015-06-05 10:50:34	ga_ls8c_ard_3-0-0_105080_2015-06-05_final
2015-06-05 10:50:58	ga_ls8c_ard_3-0-0_105081_2015-06-05_final
2015-06-05 10:51:22	ga_ls8c_ard_3-0-0_105082_2015-06-05_final
2015-06-05 10:51:46	ga_ls8c_ard_3-0-0_105083_2015-06-05_final
2015-06-21 09:09:26	ga_ls8c_ard_3-0-0_089074_2015-06-20_final
2015-06-21 09:09:50	ga_ls8c_ard_3-0-0_089075_2015-06-20_final
2015-06-21 09:10:14	ga_ls8c_ard_3-0-0_089076_2015-06-20_final
2015-06-21 09:10:38	ga_ls8c_ard_3-0-0_089077_2015-06-20_final
2015-06-21 09:11:02	ga_ls8c_ard_3-0-0_089078_2015-06-20_final
2015-06-21 09:11:26	ga_ls8c_ard_3-0-0_089079_2015-06-20_final
2015-06-21 09:11:50	ga_ls8c_ard_3-0-0_089080_2015-06-20_final
2015-06-21 09:12:14	ga_ls8c_ard_3-0-0_089081_2015-06-20_final
2015-06-21 09:12:38	ga_ls8c_ard_3-0-0_089082_2015-06-20_final
2015-06-21 09:13:02	ga_ls8c_ard_3-0-0_089083_2015-06-20_final
2015-06-21 09:13:26	ga_ls8c_ard_3-0-0_089084_2015-06-20_final
2015-06-21 09:13:49	ga_ls8c_ard_3-0-0_089085_2015-06-20_final
2015-06-21 09:14:13	ga_ls8c_ard_3-0-0_089086_2015-06-20_final
2015-06-21 09:14:37	ga_ls8c_ard_3-0-0_089087_2015-06-20_final
2015-06-21 09:15:01	ga_ls8c_ard_3-0-0_089088_2015-06-20_final
2015-06-21 09:15:25	ga_ls8c_ard_3-0-0_089089_2015-06-20_final
2015-06-21 09:15:49	ga_ls8c_ard_3-0-0_089090_2015-06-20_final
2015-06-21 10:45:31	ga_ls8c_ard_3-0-0_105067_2015-06-21_final
2015-06-21 10:45:55	ga_ls8c_ard_3-0-0_105068_2015-06-21_final
2015-06-21 10:46:19	ga_ls8c_ard_3-0-0_105069_2015-06-21_final
2015-06-21 10:46:43	ga_ls8c_ard_3-0-0_105070_2015-06-21_final
2015-06-21 10:47:07	ga_ls8c_ard_3-0-0_105071_2015-06-21_final
2015-06-21 10:47:31	ga_ls8c_ard_3-0-0_105072_2015-06-21_final
2015-06-21 10:47:55	ga_ls8c_ard_3-0-0_105073_2015-06-21_final
2015-06-21 10:48:19	ga_ls8c_ard_3-0-0_105074_2015-06-21_final
2015-06-21 10:48:43	ga_ls8c_ard_3-0-0_105075_2015-06-21_final
2015-06-21 10:49:07	ga_ls8c_ard_3-0-0_105076_2015-06-21_final
2015-06-21 10:49:31	ga_ls8c_ard_3-0-0_105077_2015-06-21_final
2015-06-22 09:54:18	ga_ls8c_ard_3-0-0_096078_2015-06-22_final
2015-06-22 09:54:42	ga_ls8c_ard_3-0-0_096079_2015-06-22_final
2015-06-22 09:55:06	ga_ls8c_ard_3-0-0_096080_2015-06-22_final
2015-06-22 09:55:30	ga_ls8c_ard_3-0-0_096081_2015-06-22_final
2015-06-22 09:55:53	ga_ls8c_ard_3-0-0_096082_2015-06-22_final
2015-06-22 09:56:17	ga_ls8c_ard_3-0-0_096083_2015-06-22_final
2015-06-22 09:56:41	ga_ls8c_ard_3-0-0_096084_2015-06-22_final
2015-06-22 09:57:05	ga_ls8c_ard_3-0-0_096085_2015-06-22_final
2015-06-22 09:57:29	ga_ls8c_ard_3-0-0_096086_2015-06-22_final

Return to ga_ls8c_ard_3 across June 2015 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

2015

June

All days