Search ga_ls8c_ard_3 across November 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
2014-11-09 09:10:21	ga_ls8c_ard_3-0-0_089074_2014-11-08_final
2014-11-09 09:10:45	ga_ls8c_ard_3-0-0_089075_2014-11-08_final
2014-11-09 09:11:09	ga_ls8c_ard_3-0-0_089076_2014-11-08_final
2014-11-09 09:11:33	ga_ls8c_ard_3-0-0_089077_2014-11-08_final
2014-11-09 09:11:57	ga_ls8c_ard_3-0-0_089078_2014-11-08_final
2014-11-09 09:12:21	ga_ls8c_ard_3-0-0_089079_2014-11-08_final
2014-11-09 09:12:45	ga_ls8c_ard_3-0-0_089080_2014-11-08_final
2014-11-09 09:13:09	ga_ls8c_ard_3-0-0_089081_2014-11-08_final
2014-11-09 09:13:33	ga_ls8c_ard_3-0-0_089082_2014-11-08_final
2014-11-09 09:13:57	ga_ls8c_ard_3-0-0_089083_2014-11-08_final
2014-11-09 09:14:21	ga_ls8c_ard_3-0-0_089084_2014-11-08_final
2014-11-09 09:14:45	ga_ls8c_ard_3-0-0_089085_2014-11-08_final
2014-11-09 09:15:09	ga_ls8c_ard_3-0-0_089086_2014-11-08_final
2014-11-28 09:38:25	ga_ls8c_ard_3-0-0_094067_2014-11-28_final
2014-11-28 09:40:01	ga_ls8c_ard_3-0-0_094071_2014-11-28_final
2014-11-28 09:40:25	ga_ls8c_ard_3-0-0_094072_2014-11-28_final
2014-11-28 09:40:49	ga_ls8c_ard_3-0-0_094073_2014-11-28_final
2014-11-28 09:41:13	ga_ls8c_ard_3-0-0_094074_2014-11-28_final
2014-11-28 09:41:37	ga_ls8c_ard_3-0-0_094075_2014-11-28_final
2014-11-28 09:42:01	ga_ls8c_ard_3-0-0_094076_2014-11-28_final
2014-11-28 09:42:25	ga_ls8c_ard_3-0-0_094077_2014-11-28_final
2014-11-28 09:42:49	ga_ls8c_ard_3-0-0_094078_2014-11-28_final
2014-11-28 09:43:13	ga_ls8c_ard_3-0-0_094079_2014-11-28_final
2014-11-28 09:43:37	ga_ls8c_ard_3-0-0_094080_2014-11-28_final
2014-11-28 09:44:01	ga_ls8c_ard_3-0-0_094081_2014-11-28_final
2014-11-28 09:44:25	ga_ls8c_ard_3-0-0_094082_2014-11-28_final
2014-11-28 09:44:48	ga_ls8c_ard_3-0-0_094083_2014-11-28_final
2014-11-28 09:45:12	ga_ls8c_ard_3-0-0_094084_2014-11-28_final
2014-11-28 09:45:36	ga_ls8c_ard_3-0-0_094085_2014-11-28_final
2014-11-28 09:46:00	ga_ls8c_ard_3-0-0_094086_2014-11-28_final
2014-11-28 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-11-28_final
2014-11-28 11:17:18	ga_ls8c_ard_3-0-0_110067_2014-11-28_final
2014-11-28 11:17:42	ga_ls8c_ard_3-0-0_110068_2014-11-28_final
2014-11-28 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-11-28_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2014-11-28 11:18:54	ga_ls8c_ard_3-0-0_110071_2014-11-28_final
2014-11-28 11:19:18	ga_ls8c_ard_3-0-0_110072_2014-11-28_final
2014-11-28 11:19:42	ga_ls8c_ard_3-0-0_110073_2014-11-28_final
2014-11-28 11:20:06	ga_ls8c_ard_3-0-0_110074_2014-11-28_final
2014-11-28 11:20:30	ga_ls8c_ard_3-0-0_110075_2014-11-28_final
2014-11-28 11:20:54	ga_ls8c_ard_3-0-0_110076_2014-11-28_final
2014-11-28 11:21:18	ga_ls8c_ard_3-0-0_110077_2014-11-28_final
2014-11-28 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-11-28_final
2014-11-28 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-11-28_final
2014-11-28 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-11-28_final
2014-11-28 11:22:54	ga_ls8c_ard_3-0-0_110081_2014-11-28_final
2014-11-28 11:23:18	ga_ls8c_ard_3-0-0_110082_2014-11-28_final
2014-11-28 11:23:42	ga_ls8c_ard_3-0-0_110083_2014-11-28_final
2014-11-28 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-11-28_final
2014-11-29 10:22:53	ga_ls8c_ard_3-0-0_101070_2014-11-29_final
2014-11-29 10:23:17	ga_ls8c_ard_3-0-0_101071_2014-11-29_final
2014-11-29 10:23:41	ga_ls8c_ard_3-0-0_101072_2014-11-29_final
2014-11-29 10:24:05	ga_ls8c_ard_3-0-0_101073_2014-11-29_final
2014-11-29 10:24:29	ga_ls8c_ard_3-0-0_101074_2014-11-29_final
2014-11-29 10:24:53	ga_ls8c_ard_3-0-0_101075_2014-11-29_final
2014-11-29 10:25:17	ga_ls8c_ard_3-0-0_101076_2014-11-29_final
2014-11-29 10:25:41	ga_ls8c_ard_3-0-0_101077_2014-11-29_final
2014-11-29 10:26:04	ga_ls8c_ard_3-0-0_101078_2014-11-29_final
2014-11-29 10:26:28	ga_ls8c_ard_3-0-0_101079_2014-11-29_final
2014-11-29 10:26:52	ga_ls8c_ard_3-0-0_101080_2014-11-29_final
2014-11-29 10:27:16	ga_ls8c_ard_3-0-0_101081_2014-11-29_final
2014-11-29 10:27:40	ga_ls8c_ard_3-0-0_101082_2014-11-29_final
2014-11-29 10:28:04	ga_ls8c_ard_3-0-0_101083_2014-11-29_final
2014-11-30 09:26:04	ga_ls8c_ard_3-0-0_092067_2014-11-29_final
2014-11-30 09:26:28	ga_ls8c_ard_3-0-0_092068_2014-11-29_final
2014-11-30 09:28:03	ga_ls8c_ard_3-0-0_092072_2014-11-29_final
2014-11-30 09:28:27	ga_ls8c_ard_3-0-0_092073_2014-11-29_final
2014-11-30 09:28:51	ga_ls8c_ard_3-0-0_092074_2014-11-29_final
2014-11-30 09:29:15	ga_ls8c_ard_3-0-0_092075_2014-11-29_final
2014-11-30 09:29:39	ga_ls8c_ard_3-0-0_092076_2014-11-29_final
2014-11-30 09:30:03	ga_ls8c_ard_3-0-0_092077_2014-11-30_final
2014-11-30 09:30:27	ga_ls8c_ard_3-0-0_092078_2014-11-30_final
2014-11-30 09:30:51	ga_ls8c_ard_3-0-0_092079_2014-11-30_final
2014-11-30 09:31:15	ga_ls8c_ard_3-0-0_092080_2014-11-30_final
2014-11-30 09:31:39	ga_ls8c_ard_3-0-0_092081_2014-11-30_final
2014-11-30 09:32:03	ga_ls8c_ard_3-0-0_092082_2014-11-30_final
2014-11-30 09:32:27	ga_ls8c_ard_3-0-0_092083_2014-11-30_final
2014-11-30 09:32:51	ga_ls8c_ard_3-0-0_092084_2014-11-30_final
2014-11-30 09:33:15	ga_ls8c_ard_3-0-0_092085_2014-11-30_final
2014-11-30 09:33:39	ga_ls8c_ard_3-0-0_092086_2014-11-30_final
2014-11-30 09:34:03	ga_ls8c_ard_3-0-0_092087_2014-11-30_final
2014-11-30 09:34:27	ga_ls8c_ard_3-0-0_092088_2014-11-30_final
2014-11-30 09:34:51	ga_ls8c_ard_3-0-0_092089_2014-11-30_final
2014-11-30 11:04:57	ga_ls8c_ard_3-0-0_108067_2014-11-30_final
2014-11-30 11:05:21	ga_ls8c_ard_3-0-0_108068_2014-11-30_final
2014-11-30 11:05:45	ga_ls8c_ard_3-0-0_108069_2014-11-30_final
2014-11-30 11:06:09	ga_ls8c_ard_3-0-0_108070_2014-11-30_final
2014-11-30 11:06:33	ga_ls8c_ard_3-0-0_108071_2014-11-30_final
2014-11-30 11:06:56	ga_ls8c_ard_3-0-0_108072_2014-11-30_final
2014-11-30 11:07:20	ga_ls8c_ard_3-0-0_108073_2014-11-30_final
2014-11-30 11:07:44	ga_ls8c_ard_3-0-0_108074_2014-11-30_final
2014-11-30 11:08:08	ga_ls8c_ard_3-0-0_108075_2014-11-30_final
2014-11-30 11:08:32	ga_ls8c_ard_3-0-0_108076_2014-11-30_final
2014-11-30 11:08:56	ga_ls8c_ard_3-0-0_108077_2014-11-30_final
2014-11-30 11:09:20	ga_ls8c_ard_3-0-0_108078_2014-11-30_final
2014-11-30 11:09:44	ga_ls8c_ard_3-0-0_108079_2014-11-30_final
2014-11-30 11:10:08	ga_ls8c_ard_3-0-0_108080_2014-11-30_final
2014-11-30 11:10:32	ga_ls8c_ard_3-0-0_108081_2014-11-30_final
2014-11-30 11:10:56	ga_ls8c_ard_3-0-0_108082_2014-11-30_final
2014-11-30 11:11:20	ga_ls8c_ard_3-0-0_108083_2014-11-30_final

Return to ga_ls8c_ard_3 across November 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

November

All days