Search ga_ls8c_ard_3 across June 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
2013-06-02 09:43:04	ga_ls8c_ard_3-0-0_094074_2013-06-02_final
2013-06-02 09:43:28	ga_ls8c_ard_3-0-0_094075_2013-06-02_final
2013-06-02 09:43:52	ga_ls8c_ard_3-0-0_094076_2013-06-02_final
2013-06-02 09:44:16	ga_ls8c_ard_3-0-0_094077_2013-06-02_final
2013-06-02 09:44:40	ga_ls8c_ard_3-0-0_094078_2013-06-02_final
2013-06-02 09:45:04	ga_ls8c_ard_3-0-0_094079_2013-06-02_final
2013-06-02 09:45:28	ga_ls8c_ard_3-0-0_094080_2013-06-02_final
2013-06-02 09:45:52	ga_ls8c_ard_3-0-0_094081_2013-06-02_final
2013-06-02 09:46:16	ga_ls8c_ard_3-0-0_094082_2013-06-02_final
2013-06-02 09:46:40	ga_ls8c_ard_3-0-0_094083_2013-06-02_final
2013-06-02 09:47:04	ga_ls8c_ard_3-0-0_094084_2013-06-02_final
2013-06-02 09:47:28	ga_ls8c_ard_3-0-0_094085_2013-06-02_final
2013-06-02 09:47:52	ga_ls8c_ard_3-0-0_094086_2013-06-02_final
2013-06-02 11:19:10	ga_ls8c_ard_3-0-0_110067_2013-06-02_final
2013-06-02 11:19:34	ga_ls8c_ard_3-0-0_110068_2013-06-02_final
2013-06-02 11:19:58	ga_ls8c_ard_3-0-0_110069_2013-06-02_final
2013-06-02 11:20:22	ga_ls8c_ard_3-0-0_110070_2013-06-02_final
2013-06-02 11:22:45	ga_ls8c_ard_3-0-0_110076_2013-06-02_final
2013-06-02 11:23:09	ga_ls8c_ard_3-0-0_110077_2013-06-02_final
2013-06-02 11:23:33	ga_ls8c_ard_3-0-0_110078_2013-06-02_final
2013-06-02 11:23:57	ga_ls8c_ard_3-0-0_110079_2013-06-02_final
2013-06-02 11:24:21	ga_ls8c_ard_3-0-0_110080_2013-06-02_final
2013-06-02 11:24:45	ga_ls8c_ard_3-0-0_110081_2013-06-02_final
2013-06-02 11:25:09	ga_ls8c_ard_3-0-0_110082_2013-06-02_final
2013-06-02 11:25:33	ga_ls8c_ard_3-0-0_110083_2013-06-02_final
2013-06-03 10:25:08	ga_ls8c_ard_3-0-0_101071_2013-06-03_final
2013-06-03 10:25:32	ga_ls8c_ard_3-1-0_101072_2013-06-03_final
2013-06-03 10:25:56	ga_ls8c_ard_3-0-0_101073_2013-06-03_final
2013-06-03 10:26:20	ga_ls8c_ard_3-0-0_101074_2013-06-03_final
2013-06-03 10:26:44	ga_ls8c_ard_3-0-0_101075_2013-06-03_final
2013-06-03 10:29:31	ga_ls8c_ard_3-0-0_101082_2013-06-03_final
2013-06-04 09:31:30	ga_ls8c_ard_3-0-0_092076_2013-06-04_final
2013-06-04 09:31:54	ga_ls8c_ard_3-0-0_092077_2013-06-04_final
2013-06-04 09:32:18	ga_ls8c_ard_3-0-0_092078_2013-06-04_final
2013-06-04 09:32:42	ga_ls8c_ard_3-0-0_092079_2013-06-04_final
2013-06-04 09:33:06	ga_ls8c_ard_3-0-0_092080_2013-06-04_final
2013-06-04 09:33:30	ga_ls8c_ard_3-0-0_092081_2013-06-04_final
2013-06-04 09:33:54	ga_ls8c_ard_3-0-0_092082_2013-06-04_final
2013-06-04 09:34:18	ga_ls8c_ard_3-0-0_092083_2013-06-04_final
2013-06-04 09:34:42	ga_ls8c_ard_3-0-0_092084_2013-06-04_final
2013-06-04 09:35:06	ga_ls8c_ard_3-0-0_092085_2013-06-04_final
2013-06-04 09:35:30	ga_ls8c_ard_3-0-0_092086_2013-06-04_final
2013-06-04 09:35:54	ga_ls8c_ard_3-0-0_092087_2013-06-04_final
2013-06-04 11:08:00	ga_ls8c_ard_3-0-0_108070_2013-06-04_final
2013-06-04 11:08:24	ga_ls8c_ard_3-0-0_108071_2013-06-04_final
2013-06-04 11:08:48	ga_ls8c_ard_3-0-0_108072_2013-06-04_final
2013-06-04 11:09:11	ga_ls8c_ard_3-0-0_108073_2013-06-04_final
2013-06-04 11:09:35	ga_ls8c_ard_3-0-0_108074_2013-06-04_final
2013-06-04 11:09:59	ga_ls8c_ard_3-0-0_108075_2013-06-04_final
2013-06-04 11:10:23	ga_ls8c_ard_3-0-0_108076_2013-06-04_final
2013-06-04 11:10:47	ga_ls8c_ard_3-0-0_108077_2013-06-04_final
2013-06-04 11:11:11	ga_ls8c_ard_3-0-0_108078_2013-06-04_final
2013-06-04 11:11:35	ga_ls8c_ard_3-0-0_108079_2013-06-04_final
2013-06-04 11:11:59	ga_ls8c_ard_3-0-0_108080_2013-06-04_final
2013-06-04 11:12:23	ga_ls8c_ard_3-0-0_108081_2013-06-04_final
2013-06-04 11:12:47	ga_ls8c_ard_3-0-0_108082_2013-06-04_final
2013-06-04 11:13:11	ga_ls8c_ard_3-0-0_108083_2013-06-04_final
2013-06-05 10:11:10	ga_ls8c_ard_3-0-0_099067_2013-06-05_final
2013-06-05 10:11:34	ga_ls8c_ard_3-0-0_099068_2013-06-05_final
2013-06-05 10:11:58	ga_ls8c_ard_3-0-0_099069_2013-06-05_final
2013-06-05 10:12:22	ga_ls8c_ard_3-0-0_099070_2013-06-05_final
2013-06-05 10:12:46	ga_ls8c_ard_3-0-0_099071_2013-06-05_final
2013-06-05 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-06-05_final
2013-06-05 10:13:34	ga_ls8c_ard_3-0-0_099073_2013-06-05_final
2013-06-05 10:13:58	ga_ls8c_ard_3-0-0_099074_2013-06-05_final
2013-06-05 10:14:22	ga_ls8c_ard_3-0-0_099075_2013-06-05_final
2013-06-05 10:14:46	ga_ls8c_ard_3-0-0_099076_2013-06-05_final
2013-06-05 10:15:10	ga_ls8c_ard_3-0-0_099077_2013-06-05_final
2013-06-05 10:15:34	ga_ls8c_ard_3-0-0_099078_2013-06-05_final
2013-06-05 10:15:58	ga_ls8c_ard_3-0-0_099079_2013-06-05_final
2013-06-05 10:16:21	ga_ls8c_ard_3-0-0_099080_2013-06-05_final
2013-06-05 10:16:45	ga_ls8c_ard_3-0-0_099081_2013-06-05_final
2013-06-05 10:17:09	ga_ls8c_ard_3-0-0_099082_2013-06-05_final
2013-06-05 10:17:33	ga_ls8c_ard_3-0-0_099083_2013-06-05_final
2013-06-05 11:53:15	ga_ls8c_ard_3-0-0_115075_2013-06-05_final
2013-06-05 11:53:39	ga_ls8c_ard_3-0-0_115076_2013-06-05_final
2013-06-05 11:54:03	ga_ls8c_ard_3-0-0_115077_2013-06-05_final
2013-06-05 11:54:27	ga_ls8c_ard_3-0-0_115078_2013-06-05_final
2013-06-15 09:13:41	ga_ls8c_ard_3-0-0_089078_2013-06-14_final
2013-06-15 09:14:05	ga_ls8c_ard_3-0-0_089079_2013-06-14_final
2013-06-15 09:14:29	ga_ls8c_ard_3-0-0_089080_2013-06-14_final
2013-06-15 09:14:53	ga_ls8c_ard_3-0-0_089081_2013-06-14_final
2013-06-15 09:15:17	ga_ls8c_ard_3-0-0_089082_2013-06-14_final
2013-06-15 09:15:41	ga_ls8c_ard_3-0-0_089083_2013-06-14_final
2013-06-15 09:16:05	ga_ls8c_ard_3-0-0_089084_2013-06-14_final
2013-06-15 09:16:29	ga_ls8c_ard_3-0-0_089085_2013-06-14_final
2013-06-16 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-06-16_final
2013-06-16 09:54:33	ga_ls8c_ard_3-0-0_096072_2013-06-16_final
2013-06-16 09:54:57	ga_ls8c_ard_3-0-0_096073_2013-06-16_final
2013-06-16 09:55:21	ga_ls8c_ard_3-0-0_096074_2013-06-16_final
2013-06-16 09:55:45	ga_ls8c_ard_3-0-0_096075_2013-06-16_final
2013-06-16 09:56:09	ga_ls8c_ard_3-0-0_096076_2013-06-16_final
2013-06-16 09:56:33	ga_ls8c_ard_3-0-0_096077_2013-06-16_final
2013-06-16 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-06-16_final
2013-06-16 09:57:20	ga_ls8c_ard_3-0-0_096079_2013-06-16_final
2013-06-16 09:57:44	ga_ls8c_ard_3-0-0_096080_2013-06-16_final
2013-06-16 09:58:08	ga_ls8c_ard_3-0-0_096081_2013-06-16_final
2013-06-16 09:58:32	ga_ls8c_ard_3-0-0_096082_2013-06-16_final
2013-06-16 09:58:56	ga_ls8c_ard_3-0-0_096083_2013-06-16_final
2013-06-16 09:59:20	ga_ls8c_ard_3-0-0_096084_2013-06-16_final

Return to ga_ls8c_ard_3 across June 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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2013

June

All days