Search ga_ls8c_ard_3 across November 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
2015-11-11 10:03:03	ga_ls8c_ard_3-0-0_098067_2015-11-11_final
2015-11-11 10:03:27	ga_ls8c_ard_3-0-0_098068_2015-11-11_final
2015-11-11 10:03:51	ga_ls8c_ard_3-0-0_098069_2015-11-11_final
2015-11-11 10:04:15	ga_ls8c_ard_3-0-0_098070_2015-11-11_final
2015-11-11 10:04:39	ga_ls8c_ard_3-0-0_098071_2015-11-11_final
2015-11-11 10:05:03	ga_ls8c_ard_3-0-0_098072_2015-11-11_final
2015-11-11 10:05:27	ga_ls8c_ard_3-0-0_098073_2015-11-11_final
2015-11-11 10:05:51	ga_ls8c_ard_3-0-0_098074_2015-11-11_final
2015-11-11 10:06:15	ga_ls8c_ard_3-0-0_098075_2015-11-11_final
2015-11-11 10:06:39	ga_ls8c_ard_3-0-0_098076_2015-11-11_final
2015-11-11 10:07:03	ga_ls8c_ard_3-0-0_098077_2015-11-11_final
2015-11-11 10:07:26	ga_ls8c_ard_3-0-0_098078_2015-11-11_final
2015-11-11 10:07:50	ga_ls8c_ard_3-0-0_098079_2015-11-11_final
2015-11-11 10:08:14	ga_ls8c_ard_3-0-0_098080_2015-11-11_final
2015-11-11 10:08:38	ga_ls8c_ard_3-0-0_098081_2015-11-11_final
2015-11-11 10:09:02	ga_ls8c_ard_3-0-0_098082_2015-11-11_final
2015-11-11 10:09:26	ga_ls8c_ard_3-0-0_098083_2015-11-11_final
2015-11-11 10:09:50	ga_ls8c_ard_3-0-0_098084_2015-11-11_final
2015-11-11 10:10:14	ga_ls8c_ard_3-0-0_098085_2015-11-11_final
2015-11-11 10:10:38	ga_ls8c_ard_3-0-0_098086_2015-11-11_final
2015-11-11 11:41:56	ga_ls8c_ard_3-0-0_114067_2015-11-11_final
2015-11-11 11:44:44	ga_ls8c_ard_3-0-0_114074_2015-11-11_final
2015-11-11 11:45:08	ga_ls8c_ard_3-0-0_114075_2015-11-11_final
2015-11-11 11:45:32	ga_ls8c_ard_3-0-0_114076_2015-11-11_final
2015-11-11 11:45:56	ga_ls8c_ard_3-0-0_114077_2015-11-11_final
2015-11-11 11:46:20	ga_ls8c_ard_3-0-0_114078_2015-11-11_final
2015-11-11 11:46:43	ga_ls8c_ard_3-0-0_114079_2015-11-11_final
2015-11-11 11:47:07	ga_ls8c_ard_3-0-0_114080_2015-11-11_final
2015-11-11 11:47:31	ga_ls8c_ard_3-0-0_114081_2015-11-11_final
2015-11-12 09:10:13	ga_ls8c_ard_3-0-0_089074_2015-11-11_final
2015-11-12 09:10:37	ga_ls8c_ard_3-0-0_089075_2015-11-11_final
2015-11-12 09:11:01	ga_ls8c_ard_3-0-0_089076_2015-11-11_final
2015-11-12 09:11:25	ga_ls8c_ard_3-0-0_089077_2015-11-11_final
2015-11-12 09:11:49	ga_ls8c_ard_3-0-0_089078_2015-11-11_final
2015-11-12 09:12:13	ga_ls8c_ard_3-0-0_089079_2015-11-11_final
2015-11-12 09:12:37	ga_ls8c_ard_3-0-0_089080_2015-11-11_final
2015-11-12 09:13:01	ga_ls8c_ard_3-0-0_089081_2015-11-11_final
2015-11-12 09:13:25	ga_ls8c_ard_3-0-0_089082_2015-11-11_final
2015-11-12 09:13:49	ga_ls8c_ard_3-0-0_089083_2015-11-11_final
2015-11-12 09:14:13	ga_ls8c_ard_3-0-0_089084_2015-11-11_final
2015-11-12 09:14:37	ga_ls8c_ard_3-0-0_089085_2015-11-11_final
2015-11-12 09:15:01	ga_ls8c_ard_3-0-0_089086_2015-11-11_final
2015-11-12 09:15:24	ga_ls8c_ard_3-0-0_089087_2015-11-11_final
2015-11-12 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-11-11_final
2015-11-12 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-11-11_final
2015-11-12 09:16:36	ga_ls8c_ard_3-0-0_089090_2015-11-11_final
2015-11-12 10:46:19	ga_ls8c_ard_3-0-0_105067_2015-11-12_final
2015-11-12 10:46:43	ga_ls8c_ard_3-0-0_105068_2015-11-12_final
2015-11-12 10:47:06	ga_ls8c_ard_3-0-0_105069_2015-11-12_final
2015-11-12 10:47:30	ga_ls8c_ard_3-0-0_105070_2015-11-12_final
2015-11-12 10:47:54	ga_ls8c_ard_3-0-0_105071_2015-11-12_final
2015-11-12 10:48:18	ga_ls8c_ard_3-0-0_105072_2015-11-12_final
2015-11-12 10:48:42	ga_ls8c_ard_3-0-0_105073_2015-11-12_final
2015-11-12 10:49:06	ga_ls8c_ard_3-0-0_105074_2015-11-12_final
2015-11-12 10:49:30	ga_ls8c_ard_3-0-0_105075_2015-11-12_final
2015-11-12 10:49:54	ga_ls8c_ard_3-0-0_105076_2015-11-12_final
2015-11-12 10:50:18	ga_ls8c_ard_3-0-0_105077_2015-11-12_final
2015-11-12 10:50:42	ga_ls8c_ard_3-0-0_105078_2015-11-12_final
2015-11-12 10:51:06	ga_ls8c_ard_3-0-0_105079_2015-11-12_final
2015-11-12 10:51:30	ga_ls8c_ard_3-0-0_105080_2015-11-12_final
2015-11-12 10:51:54	ga_ls8c_ard_3-0-0_105081_2015-11-12_final
2015-11-12 10:52:18	ga_ls8c_ard_3-0-0_105082_2015-11-12_final
2015-11-12 10:52:42	ga_ls8c_ard_3-0-0_105083_2015-11-12_final
2015-11-17 09:27:35	ga_ls8c_ard_3-0-0_092071_2015-11-16_final
2015-11-17 09:27:59	ga_ls8c_ard_3-0-0_092072_2015-11-16_final
2015-11-17 09:28:23	ga_ls8c_ard_3-0-0_092073_2015-11-16_final
2015-11-17 09:28:47	ga_ls8c_ard_3-0-0_092074_2015-11-16_final
2015-11-17 09:29:11	ga_ls8c_ard_3-0-0_092075_2015-11-16_final
2015-11-17 09:29:35	ga_ls8c_ard_3-0-0_092076_2015-11-16_final
2015-11-17 09:29:59	ga_ls8c_ard_3-0-0_092077_2015-11-16_final
2015-11-17 09:30:23	ga_ls8c_ard_3-0-0_092078_2015-11-17_final
2015-11-17 09:30:47	ga_ls8c_ard_3-0-0_092079_2015-11-17_final
2015-11-17 09:31:11	ga_ls8c_ard_3-0-0_092080_2015-11-17_final
2015-11-17 09:31:35	ga_ls8c_ard_3-0-0_092081_2015-11-17_final
2015-11-17 09:31:59	ga_ls8c_ard_3-0-0_092082_2015-11-17_final
2015-11-17 09:32:23	ga_ls8c_ard_3-0-0_092083_2015-11-17_final
2015-11-17 09:32:47	ga_ls8c_ard_3-0-0_092084_2015-11-17_final
2015-11-17 09:33:11	ga_ls8c_ard_3-0-0_092085_2015-11-17_final
2015-11-17 09:33:35	ga_ls8c_ard_3-0-0_092086_2015-11-17_final
2015-11-17 09:33:58	ga_ls8c_ard_3-0-0_092087_2015-11-17_final
2015-11-17 09:34:22	ga_ls8c_ard_3-0-0_092088_2015-11-17_final
2015-11-17 09:34:46	ga_ls8c_ard_3-0-0_092089_2015-11-17_final
2015-11-17 09:35:10	ga_ls8c_ard_3-0-0_092090_2015-11-17_final
2015-11-19 09:16:26	ga_ls8c_ard_3-0-0_090074_2015-11-18_final
2015-11-19 09:16:50	ga_ls8c_ard_3-0-0_090075_2015-11-18_final
2015-11-19 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-11-18_final
2015-11-19 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-11-18_final
2015-11-19 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-11-18_final
2015-11-19 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-11-18_final
2015-11-19 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-11-18_final
2015-11-19 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-11-18_final
2015-11-19 09:19:38	ga_ls8c_ard_3-0-0_090082_2015-11-18_final
2015-11-19 09:20:02	ga_ls8c_ard_3-0-0_090083_2015-11-18_final
2015-11-19 09:20:26	ga_ls8c_ard_3-0-0_090084_2015-11-18_final
2015-11-19 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-11-18_final
2015-11-19 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-11-18_final
2015-11-19 09:21:37	ga_ls8c_ard_3-0-0_090087_2015-11-18_final
2015-11-19 09:22:01	ga_ls8c_ard_3-0-0_090088_2015-11-18_final
2015-11-19 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-11-18_final
2015-11-19 09:22:49	ga_ls8c_ard_3-0-0_090090_2015-11-18_final

Return to ga_ls8c_ard_3 across November 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

November

All days