Search ga_ls8c_ard_3 across May 2013

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
2013-05-03 09:29:40	ga_ls8c_ard_3-0-0_092072_2013-05-02_final
2013-05-03 09:30:04	ga_ls8c_ard_3-1-0_092073_2013-05-03_final
2013-05-03 09:30:28	ga_ls8c_ard_3-0-0_092074_2013-05-03_final
2013-05-03 09:30:52	ga_ls8c_ard_3-0-0_092075_2013-05-03_final
2013-05-03 09:31:16	ga_ls8c_ard_3-0-0_092076_2013-05-03_final
2013-05-03 11:07:21	ga_ls8c_ard_3-0-0_108069_2013-05-03_final
2013-05-03 11:07:45	ga_ls8c_ard_3-0-0_108070_2013-05-03_final
2013-05-03 11:08:09	ga_ls8c_ard_3-0-0_108071_2013-05-03_final
2013-05-03 11:08:33	ga_ls8c_ard_3-0-0_108072_2013-05-03_final
2013-05-03 11:08:57	ga_ls8c_ard_3-0-0_108073_2013-05-03_final
2013-05-03 11:09:21	ga_ls8c_ard_3-0-0_108074_2013-05-03_final
2013-05-03 11:09:45	ga_ls8c_ard_3-0-0_108075_2013-05-03_final
2013-05-03 11:10:09	ga_ls8c_ard_3-0-0_108076_2013-05-03_final
2013-05-03 11:10:33	ga_ls8c_ard_3-0-0_108077_2013-05-03_final
2013-05-03 11:10:56	ga_ls8c_ard_3-0-0_108078_2013-05-03_final
2013-05-03 11:11:20	ga_ls8c_ard_3-0-0_108079_2013-05-03_final
2013-05-03 11:11:44	ga_ls8c_ard_3-0-0_108080_2013-05-03_final
2013-05-03 11:12:08	ga_ls8c_ard_3-0-0_108081_2013-05-03_final
2013-05-03 11:12:32	ga_ls8c_ard_3-0-0_108082_2013-05-03_final
2013-05-03 11:12:56	ga_ls8c_ard_3-0-0_108083_2013-05-03_final
2013-05-04 10:10:56	ga_ls8c_ard_3-0-0_099067_2013-05-04_final
2013-05-04 10:11:20	ga_ls8c_ard_3-0-0_099068_2013-05-04_final
2013-05-04 10:11:44	ga_ls8c_ard_3-0-0_099069_2013-05-04_final
2013-05-04 10:12:08	ga_ls8c_ard_3-0-0_099070_2013-05-04_final
2013-05-04 10:12:32	ga_ls8c_ard_3-0-0_099071_2013-05-04_final
2013-05-04 10:12:56	ga_ls8c_ard_3-0-0_099072_2013-05-04_final
2013-05-04 10:13:20	ga_ls8c_ard_3-0-0_099073_2013-05-04_final
2013-05-04 10:13:44	ga_ls8c_ard_3-0-0_099074_2013-05-04_final
2013-05-04 10:14:08	ga_ls8c_ard_3-0-0_099075_2013-05-04_final
2013-05-04 10:14:32	ga_ls8c_ard_3-0-0_099076_2013-05-04_final
2013-05-04 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-05-04_final
2013-05-04 10:15:19	ga_ls8c_ard_3-0-0_099078_2013-05-04_final
2013-05-04 10:15:43	ga_ls8c_ard_3-0-0_099079_2013-05-04_final
2013-05-04 10:16:07	ga_ls8c_ard_3-0-0_099080_2013-05-04_final
2013-05-04 10:16:31	ga_ls8c_ard_3-0-0_099081_2013-05-04_final
2013-05-04 10:16:55	ga_ls8c_ard_3-0-0_099082_2013-05-04_final
2013-05-04 10:17:19	ga_ls8c_ard_3-0-0_099083_2013-05-04_final
2013-05-04 10:17:43	ga_ls8c_ard_3-0-0_099084_2013-05-04_final
2013-05-04 11:52:37	ga_ls8c_ard_3-0-0_115074_2013-05-04_final
2013-05-04 11:53:01	ga_ls8c_ard_3-0-0_115075_2013-05-04_final
2013-05-04 11:53:25	ga_ls8c_ard_3-0-0_115076_2013-05-04_final
2013-05-04 11:53:49	ga_ls8c_ard_3-0-0_115077_2013-05-04_final
2013-05-04 11:54:13	ga_ls8c_ard_3-0-0_115078_2013-05-04_final
2013-05-04 11:54:37	ga_ls8c_ard_3-0-0_115079_2013-05-04_final
2013-05-05 10:54:36	ga_ls8c_ard_3-0-0_106068_2013-05-05_final
2013-05-05 10:55:00	ga_ls8c_ard_3-0-0_106069_2013-05-05_final
2013-05-05 10:55:24	ga_ls8c_ard_3-0-0_106070_2013-05-05_final
2013-05-05 10:55:48	ga_ls8c_ard_3-0-0_106071_2013-05-05_final
2013-05-05 10:56:12	ga_ls8c_ard_3-0-0_106072_2013-05-05_final
2013-05-05 10:56:36	ga_ls8c_ard_3-0-0_106073_2013-05-05_final
2013-05-05 10:57:00	ga_ls8c_ard_3-0-0_106074_2013-05-05_final
2013-05-05 10:57:24	ga_ls8c_ard_3-0-0_106075_2013-05-05_final
2013-05-06 10:00:11	ga_ls8c_ard_3-0-0_097071_2013-05-06_final
2013-05-06 10:00:35	ga_ls8c_ard_3-0-0_097072_2013-05-06_final
2013-05-06 10:00:59	ga_ls8c_ard_3-0-0_097073_2013-05-06_final
2013-05-06 10:01:23	ga_ls8c_ard_3-0-0_097074_2013-05-06_final
2013-05-06 10:01:47	ga_ls8c_ard_3-0-0_097075_2013-05-06_final
2013-05-06 10:02:11	ga_ls8c_ard_3-0-0_097076_2013-05-06_final
2013-05-06 10:02:35	ga_ls8c_ard_3-0-0_097077_2013-05-06_final
2013-05-06 10:02:59	ga_ls8c_ard_3-0-0_097078_2013-05-06_final
2013-05-06 10:03:23	ga_ls8c_ard_3-0-0_097079_2013-05-06_final
2013-05-06 10:03:47	ga_ls8c_ard_3-0-0_097080_2013-05-06_final
2013-05-06 10:04:11	ga_ls8c_ard_3-0-0_097081_2013-05-06_final
2013-05-06 10:04:34	ga_ls8c_ard_3-0-0_097082_2013-05-06_final
2013-05-06 10:04:58	ga_ls8c_ard_3-0-0_097083_2013-05-06_final
2013-05-06 10:05:22	ga_ls8c_ard_3-0-0_097084_2013-05-06_final
2013-05-06 10:05:46	ga_ls8c_ard_3-0-0_097085_2013-05-06_final
2013-05-06 11:40:16	ga_ls8c_ard_3-0-0_113074_2013-05-06_final
2013-05-06 11:40:40	ga_ls8c_ard_3-0-0_113075_2013-05-06_final
2013-05-06 11:41:04	ga_ls8c_ard_3-0-0_113076_2013-05-06_final
2013-05-06 11:41:28	ga_ls8c_ard_3-0-0_113077_2013-05-06_final
2013-05-06 11:41:52	ga_ls8c_ard_3-0-0_113078_2013-05-06_final
2013-05-06 11:42:16	ga_ls8c_ard_3-0-0_113079_2013-05-06_final
2013-05-06 11:42:40	ga_ls8c_ard_3-0-0_113080_2013-05-06_final
2013-05-06 11:43:04	ga_ls8c_ard_3-0-0_113081_2013-05-06_final
2013-05-06 11:43:28	ga_ls8c_ard_3-0-0_113082_2013-05-06_final
2013-05-06 11:43:52	ga_ls8c_ard_3-0-0_113083_2013-05-06_final
2013-05-06 11:44:16	ga_ls8c_ard_3-0-0_113084_2013-05-06_final
2013-05-11 10:18:49	ga_ls8c_ard_3-0-0_100071_2013-05-11_final
2013-05-11 10:19:13	ga_ls8c_ard_3-0-0_100072_2013-05-11_final
2013-05-11 10:19:37	ga_ls8c_ard_3-0-0_100073_2013-05-11_final
2013-05-11 10:20:01	ga_ls8c_ard_3-0-0_100074_2013-05-11_final
2013-05-11 10:20:25	ga_ls8c_ard_3-0-0_100075_2013-05-11_final
2013-05-11 10:20:49	ga_ls8c_ard_3-0-0_100076_2013-05-11_final
2013-05-11 10:21:13	ga_ls8c_ard_3-0-0_100077_2013-05-11_final
2013-05-11 10:21:36	ga_ls8c_ard_3-0-0_100078_2013-05-11_final
2013-05-11 10:22:00	ga_ls8c_ard_3-0-0_100079_2013-05-11_final
2013-05-11 10:22:24	ga_ls8c_ard_3-0-0_100080_2013-05-11_final
2013-05-11 10:22:48	ga_ls8c_ard_3-0-0_100081_2013-05-11_final
2013-05-11 10:23:12	ga_ls8c_ard_3-0-0_100082_2013-05-11_final
2013-05-11 10:23:36	ga_ls8c_ard_3-0-0_100083_2013-05-11_final
2013-05-11 10:24:00	ga_ls8c_ard_3-0-0_100084_2013-05-11_final
2013-05-19 09:27:53	ga_ls8c_ard_3-0-0_092067_2013-05-18_final
2013-05-19 09:28:17	ga_ls8c_ard_3-0-0_092068_2013-05-18_final
2013-05-19 09:31:04	ga_ls8c_ard_3-0-0_092075_2013-05-19_final
2013-05-19 09:31:28	ga_ls8c_ard_3-0-0_092076_2013-05-19_final
2013-05-19 09:31:52	ga_ls8c_ard_3-0-0_092077_2013-05-19_final
2013-05-19 09:32:16	ga_ls8c_ard_3-0-0_092078_2013-05-19_final
2013-05-19 09:32:40	ga_ls8c_ard_3-0-0_092079_2013-05-19_final
2013-05-19 09:33:04	ga_ls8c_ard_3-0-0_092080_2013-05-19_final

Return to ga_ls8c_ard_3 across May 2013 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

2013

May

All days