Search ga_ls8c_ard_3 across October 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
2013-10-14 09:08:12	ga_ls8c_ard_3-0-0_088080_2013-10-13_final
2013-10-14 09:08:36	ga_ls8c_ard_3-1-0_088081_2013-10-13_final
2013-10-14 09:09:00	ga_ls8c_ard_3-0-0_088082_2013-10-13_final
2013-10-17 09:36:41	ga_ls8c_ard_3-0-0_093074_2013-10-17_final
2013-10-17 09:37:05	ga_ls8c_ard_3-0-0_093075_2013-10-17_final
2013-10-19 09:26:18	ga_ls8c_ard_3-0-0_091079_2013-10-18_final
2013-10-19 09:26:42	ga_ls8c_ard_3-0-0_091080_2013-10-18_final
2013-10-19 09:27:06	ga_ls8c_ard_3-0-0_091081_2013-10-18_final
2013-10-19 09:27:30	ga_ls8c_ard_3-0-0_091082_2013-10-18_final
2013-10-19 09:27:54	ga_ls8c_ard_3-0-0_091083_2013-10-18_final
2013-10-24 09:41:36	ga_ls8c_ard_3-0-0_094071_2013-10-24_final
2013-10-24 09:42:00	ga_ls8c_ard_3-0-0_094072_2013-10-24_final
2013-10-24 09:42:24	ga_ls8c_ard_3-0-0_094073_2013-10-24_final
2013-10-24 09:42:48	ga_ls8c_ard_3-0-0_094074_2013-10-24_final
2013-10-24 09:43:12	ga_ls8c_ard_3-0-0_094075_2013-10-24_final
2013-10-24 09:43:36	ga_ls8c_ard_3-0-0_094076_2013-10-24_final
2013-10-24 09:44:00	ga_ls8c_ard_3-0-0_094077_2013-10-24_final
2013-10-24 09:44:23	ga_ls8c_ard_3-0-0_094078_2013-10-24_final
2013-10-24 09:44:47	ga_ls8c_ard_3-0-0_094079_2013-10-24_final
2013-10-24 09:45:11	ga_ls8c_ard_3-0-0_094080_2013-10-24_final
2013-10-24 09:45:35	ga_ls8c_ard_3-0-0_094081_2013-10-24_final
2013-10-24 09:45:59	ga_ls8c_ard_3-0-0_094082_2013-10-24_final
2013-10-24 09:46:23	ga_ls8c_ard_3-0-0_094083_2013-10-24_final
2013-10-24 09:46:47	ga_ls8c_ard_3-0-0_094084_2013-10-24_final
2013-10-24 09:47:11	ga_ls8c_ard_3-0-0_094085_2013-10-24_final
2013-10-24 09:47:35	ga_ls8c_ard_3-0-0_094086_2013-10-24_final
2013-10-24 09:47:59	ga_ls8c_ard_3-0-0_094087_2013-10-24_final
2013-10-24 11:18:53	ga_ls8c_ard_3-0-0_110067_2013-10-24_final
2013-10-24 11:20:05	ga_ls8c_ard_3-0-0_110070_2013-10-24_final
2013-10-24 11:20:29	ga_ls8c_ard_3-0-0_110071_2013-10-24_final
2013-10-24 11:20:53	ga_ls8c_ard_3-0-0_110072_2013-10-24_final
2013-10-24 11:21:17	ga_ls8c_ard_3-0-0_110073_2013-10-24_final
2013-10-24 11:21:41	ga_ls8c_ard_3-0-0_110074_2013-10-24_final
2013-10-24 11:22:05	ga_ls8c_ard_3-0-0_110075_2013-10-24_final
2013-10-24 11:22:29	ga_ls8c_ard_3-0-0_110076_2013-10-24_final
2013-10-24 11:22:53	ga_ls8c_ard_3-0-0_110077_2013-10-24_final
2013-10-24 11:23:16	ga_ls8c_ard_3-0-0_110078_2013-10-24_final
2013-10-24 11:23:40	ga_ls8c_ard_3-0-0_110079_2013-10-24_final
2013-10-24 11:24:04	ga_ls8c_ard_3-0-0_110080_2013-10-24_final
2013-10-24 11:24:28	ga_ls8c_ard_3-0-0_110081_2013-10-24_final
2013-10-24 11:24:52	ga_ls8c_ard_3-0-0_110082_2013-10-24_final
2013-10-24 11:25:16	ga_ls8c_ard_3-0-0_110083_2013-10-24_final
2013-10-24 11:25:40	ga_ls8c_ard_3-0-0_110084_2013-10-24_final
2013-10-25 10:24:27	ga_ls8c_ard_3-0-0_101070_2013-10-25_final
2013-10-25 10:24:51	ga_ls8c_ard_3-0-0_101071_2013-10-25_final
2013-10-25 10:25:15	ga_ls8c_ard_3-1-0_101072_2013-10-25_final
2013-10-25 10:25:39	ga_ls8c_ard_3-0-0_101073_2013-10-25_final
2013-10-25 10:26:03	ga_ls8c_ard_3-0-0_101074_2013-10-25_final
2013-10-25 10:26:26	ga_ls8c_ard_3-0-0_101075_2013-10-25_final
2013-10-25 10:26:50	ga_ls8c_ard_3-0-0_101076_2013-10-25_final
2013-10-25 10:27:14	ga_ls8c_ard_3-0-0_101077_2013-10-25_final
2013-10-25 10:27:38	ga_ls8c_ard_3-0-0_101078_2013-10-25_final
2013-10-25 10:28:02	ga_ls8c_ard_3-0-0_101079_2013-10-25_final
2013-10-25 10:28:26	ga_ls8c_ard_3-0-0_101080_2013-10-25_final
2013-10-25 10:28:50	ga_ls8c_ard_3-0-0_101081_2013-10-25_final
2013-10-25 10:29:14	ga_ls8c_ard_3-0-0_101082_2013-10-25_final
2013-10-25 10:29:38	ga_ls8c_ard_3-0-0_101083_2013-10-25_final
2013-10-26 09:27:37	ga_ls8c_ard_3-0-0_092067_2013-10-25_final
2013-10-26 09:28:01	ga_ls8c_ard_3-0-0_092068_2013-10-25_final
2013-10-26 09:30:24	ga_ls8c_ard_3-0-0_092074_2013-10-26_final
2013-10-26 09:30:48	ga_ls8c_ard_3-0-0_092075_2013-10-26_final
2013-10-26 09:31:12	ga_ls8c_ard_3-0-0_092076_2013-10-26_final
2013-10-26 09:31:36	ga_ls8c_ard_3-0-0_092077_2013-10-26_final
2013-10-26 11:07:18	ga_ls8c_ard_3-0-0_108069_2013-10-26_final
2013-10-26 11:07:42	ga_ls8c_ard_3-0-0_108070_2013-10-26_final
2013-10-26 11:08:06	ga_ls8c_ard_3-0-0_108071_2013-10-26_final
2013-10-26 11:08:29	ga_ls8c_ard_3-0-0_108072_2013-10-26_final
2013-10-26 11:08:53	ga_ls8c_ard_3-0-0_108073_2013-10-26_final
2013-10-26 11:09:17	ga_ls8c_ard_3-0-0_108074_2013-10-26_final
2013-10-26 11:09:41	ga_ls8c_ard_3-0-0_108075_2013-10-26_final
2013-10-26 11:10:05	ga_ls8c_ard_3-0-0_108076_2013-10-26_final
2013-10-26 11:10:29	ga_ls8c_ard_3-0-0_108077_2013-10-26_final
2013-10-26 11:10:53	ga_ls8c_ard_3-0-0_108078_2013-10-26_final
2013-10-26 11:11:17	ga_ls8c_ard_3-0-0_108079_2013-10-26_final
2013-10-26 11:11:41	ga_ls8c_ard_3-0-0_108080_2013-10-26_final
2013-10-26 11:12:05	ga_ls8c_ard_3-0-0_108081_2013-10-26_final
2013-10-26 11:12:29	ga_ls8c_ard_3-0-0_108082_2013-10-26_final
2013-10-26 11:12:53	ga_ls8c_ard_3-0-0_108083_2013-10-26_final
2013-10-26 11:13:17	ga_ls8c_ard_3-0-0_108084_2013-10-26_final
2013-10-27 10:12:03	ga_ls8c_ard_3-0-0_099070_2013-10-27_final
2013-10-27 10:12:27	ga_ls8c_ard_3-0-0_099071_2013-10-27_final
2013-10-27 10:12:51	ga_ls8c_ard_3-0-0_099072_2013-10-27_final
2013-10-27 10:13:15	ga_ls8c_ard_3-0-0_099073_2013-10-27_final
2013-10-27 10:13:39	ga_ls8c_ard_3-0-0_099074_2013-10-27_final
2013-10-27 10:14:03	ga_ls8c_ard_3-0-0_099075_2013-10-27_final
2013-10-27 10:14:27	ga_ls8c_ard_3-0-0_099076_2013-10-27_final
2013-10-27 10:14:51	ga_ls8c_ard_3-0-0_099077_2013-10-27_final
2013-10-27 10:15:15	ga_ls8c_ard_3-0-0_099078_2013-10-27_final
2013-10-27 10:15:39	ga_ls8c_ard_3-0-0_099079_2013-10-27_final
2013-10-27 10:16:03	ga_ls8c_ard_3-0-0_099080_2013-10-27_final
2013-10-27 10:16:27	ga_ls8c_ard_3-0-0_099081_2013-10-27_final
2013-10-27 10:16:51	ga_ls8c_ard_3-0-0_099082_2013-10-27_final
2013-10-27 10:17:15	ga_ls8c_ard_3-0-0_099083_2013-10-27_final
2013-10-27 10:17:39	ga_ls8c_ard_3-0-0_099084_2013-10-27_final
2013-10-27 11:52:32	ga_ls8c_ard_3-0-0_115074_2013-10-27_final
2013-10-27 11:52:56	ga_ls8c_ard_3-0-0_115075_2013-10-27_final
2013-10-27 11:53:20	ga_ls8c_ard_3-0-0_115076_2013-10-27_final
2013-10-27 11:53:44	ga_ls8c_ard_3-0-0_115077_2013-10-27_final
2013-10-27 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-10-27_final
2013-10-27 11:54:32	ga_ls8c_ard_3-0-0_115079_2013-10-27_final

Return to ga_ls8c_ard_3 across October 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

October

All days