Search ga_ls8c_ard_3 across July 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
2013-07-05 10:29:27	ga_ls8c_ard_3-0-0_101082_2013-07-05_final
2013-07-05 10:29:51	ga_ls8c_ard_3-0-0_101083_2013-07-05_final
2013-07-06 09:31:03	ga_ls8c_ard_3-0-0_092075_2013-07-06_final
2013-07-06 09:31:27	ga_ls8c_ard_3-0-0_092076_2013-07-06_final
2013-07-06 09:31:51	ga_ls8c_ard_3-0-0_092077_2013-07-06_final
2013-07-06 09:32:14	ga_ls8c_ard_3-0-0_092078_2013-07-06_final
2013-07-06 09:32:38	ga_ls8c_ard_3-0-0_092079_2013-07-06_final
2013-07-06 09:33:02	ga_ls8c_ard_3-0-0_092080_2013-07-06_final
2013-07-06 09:33:26	ga_ls8c_ard_3-0-0_092081_2013-07-06_final
2013-07-06 09:33:50	ga_ls8c_ard_3-0-0_092082_2013-07-06_final
2013-07-06 09:34:14	ga_ls8c_ard_3-0-0_092083_2013-07-06_final
2013-07-06 09:34:38	ga_ls8c_ard_3-0-0_092084_2013-07-06_final
2013-07-06 09:35:02	ga_ls8c_ard_3-0-0_092085_2013-07-06_final
2013-07-06 09:35:26	ga_ls8c_ard_3-0-0_092086_2013-07-06_final
2013-07-06 09:35:50	ga_ls8c_ard_3-0-0_092087_2013-07-06_final
2013-07-06 09:36:14	ga_ls8c_ard_3-0-0_092088_2013-07-06_final
2013-07-06 09:36:38	ga_ls8c_ard_3-0-0_092089_2013-07-06_final
2013-07-06 11:07:56	ga_ls8c_ard_3-0-0_108070_2013-07-06_final
2013-07-06 11:08:20	ga_ls8c_ard_3-0-0_108071_2013-07-06_final
2013-07-06 11:08:44	ga_ls8c_ard_3-0-0_108072_2013-07-06_final
2013-07-06 11:09:08	ga_ls8c_ard_3-0-0_108073_2013-07-06_final
2013-07-06 11:09:32	ga_ls8c_ard_3-0-0_108074_2013-07-06_final
2013-07-06 11:09:56	ga_ls8c_ard_3-0-0_108075_2013-07-06_final
2013-07-06 11:10:20	ga_ls8c_ard_3-0-0_108076_2013-07-06_final
2013-07-06 11:10:44	ga_ls8c_ard_3-0-0_108077_2013-07-06_final
2013-07-06 11:11:07	ga_ls8c_ard_3-0-0_108078_2013-07-06_final
2013-07-06 11:11:31	ga_ls8c_ard_3-0-0_108079_2013-07-06_final
2013-07-06 11:11:55	ga_ls8c_ard_3-0-0_108080_2013-07-06_final
2013-07-06 11:12:19	ga_ls8c_ard_3-0-0_108081_2013-07-06_final
2013-07-06 11:12:43	ga_ls8c_ard_3-0-0_108082_2013-07-06_final
2013-07-06 11:13:07	ga_ls8c_ard_3-0-0_108083_2013-07-06_final
2013-07-06 11:13:31	ga_ls8c_ard_3-0-0_108084_2013-07-06_final
2013-07-07 10:11:07	ga_ls8c_ard_3-0-0_099067_2013-07-07_final
2013-07-07 10:11:31	ga_ls8c_ard_3-0-0_099068_2013-07-07_final
2013-07-07 10:11:55	ga_ls8c_ard_3-0-0_099069_2013-07-07_final
2013-07-07 10:12:19	ga_ls8c_ard_3-0-0_099070_2013-07-07_final
2013-07-07 10:12:43	ga_ls8c_ard_3-0-0_099071_2013-07-07_final
2013-07-07 10:13:07	ga_ls8c_ard_3-0-0_099072_2013-07-07_final
2013-07-07 10:13:31	ga_ls8c_ard_3-0-0_099073_2013-07-07_final
2013-07-07 10:13:54	ga_ls8c_ard_3-0-0_099074_2013-07-07_final
2013-07-07 10:14:18	ga_ls8c_ard_3-0-0_099075_2013-07-07_final
2013-07-07 10:14:42	ga_ls8c_ard_3-0-0_099076_2013-07-07_final
2013-07-07 10:15:06	ga_ls8c_ard_3-0-0_099077_2013-07-07_final
2013-07-07 10:15:30	ga_ls8c_ard_3-0-0_099078_2013-07-07_final
2013-07-07 10:15:54	ga_ls8c_ard_3-0-0_099079_2013-07-07_final
2013-07-07 10:16:18	ga_ls8c_ard_3-0-0_099080_2013-07-07_final
2013-07-07 10:16:42	ga_ls8c_ard_3-0-0_099081_2013-07-07_final
2013-07-07 10:17:06	ga_ls8c_ard_3-0-0_099082_2013-07-07_final
2013-07-07 10:17:30	ga_ls8c_ard_3-0-0_099083_2013-07-07_final
2013-07-07 10:17:54	ga_ls8c_ard_3-0-0_099084_2013-07-07_final
2013-07-07 11:53:12	ga_ls8c_ard_3-0-0_115075_2013-07-07_final
2013-07-07 11:53:35	ga_ls8c_ard_3-0-0_115076_2013-07-07_final
2013-07-07 11:53:59	ga_ls8c_ard_3-0-0_115077_2013-07-07_final
2013-07-07 11:54:23	ga_ls8c_ard_3-0-0_115078_2013-07-07_final
2013-07-07 11:54:47	ga_ls8c_ard_3-0-0_115079_2013-07-07_final
2013-07-08 09:19:29	ga_ls8c_ard_3-0-0_090077_2013-07-07_final
2013-07-08 09:19:53	ga_ls8c_ard_3-0-0_090078_2013-07-07_final
2013-07-08 09:20:17	ga_ls8c_ard_3-0-0_090079_2013-07-07_final
2013-07-08 09:20:41	ga_ls8c_ard_3-0-0_090080_2013-07-07_final
2013-07-08 09:21:05	ga_ls8c_ard_3-0-0_090081_2013-07-07_final
2013-07-08 09:21:29	ga_ls8c_ard_3-0-0_090082_2013-07-07_final
2013-07-08 09:21:53	ga_ls8c_ard_3-0-0_090083_2013-07-07_final
2013-07-08 09:22:17	ga_ls8c_ard_3-0-0_090084_2013-07-07_final
2013-07-08 09:22:41	ga_ls8c_ard_3-0-0_090085_2013-07-07_final
2013-07-08 09:23:05	ga_ls8c_ard_3-0-0_090086_2013-07-07_final
2013-07-08 09:23:29	ga_ls8c_ard_3-0-0_090087_2013-07-07_final
2013-07-08 09:23:53	ga_ls8c_ard_3-0-0_090088_2013-07-07_final
2013-07-08 09:24:16	ga_ls8c_ard_3-0-0_090089_2013-07-07_final
2013-07-08 09:24:40	ga_ls8c_ard_3-0-0_090090_2013-07-07_final
2013-07-08 10:54:23	ga_ls8c_ard_3-0-0_106067_2013-07-08_final
2013-07-08 10:54:47	ga_ls8c_ard_3-0-0_106068_2013-07-08_final
2013-07-08 10:55:11	ga_ls8c_ard_3-0-0_106069_2013-07-08_final
2013-07-08 10:55:35	ga_ls8c_ard_3-0-0_106070_2013-07-08_final
2013-07-08 10:55:58	ga_ls8c_ard_3-0-0_106071_2013-07-08_final
2013-07-08 10:56:22	ga_ls8c_ard_3-0-0_106072_2013-07-08_final
2013-07-08 10:56:46	ga_ls8c_ard_3-0-0_106073_2013-07-08_final
2013-07-08 10:57:10	ga_ls8c_ard_3-0-0_106074_2013-07-08_final
2013-07-08 10:57:34	ga_ls8c_ard_3-0-0_106075_2013-07-08_final
2013-07-08 10:57:58	ga_ls8c_ard_3-0-0_106076_2013-07-08_final
2013-07-08 10:58:22	ga_ls8c_ard_3-0-0_106077_2013-07-08_final
2013-07-08 10:58:46	ga_ls8c_ard_3-0-0_106078_2013-07-08_final
2013-07-08 10:59:10	ga_ls8c_ard_3-0-0_106079_2013-07-08_final
2013-07-08 10:59:34	ga_ls8c_ard_3-0-0_106080_2013-07-08_final
2013-07-08 10:59:58	ga_ls8c_ard_3-0-0_106081_2013-07-08_final
2013-07-08 11:00:22	ga_ls8c_ard_3-0-0_106082_2013-07-08_final
2013-07-08 11:00:46	ga_ls8c_ard_3-0-0_106083_2013-07-08_final
2013-07-16 10:04:56	ga_ls8c_ard_3-0-0_098067_2013-07-16_final
2013-07-16 10:05:20	ga_ls8c_ard_3-0-0_098068_2013-07-16_final
2013-07-16 10:05:43	ga_ls8c_ard_3-0-0_098069_2013-07-16_final
2013-07-17 09:13:41	ga_ls8c_ard_3-0-0_089078_2013-07-16_final
2013-07-17 09:14:05	ga_ls8c_ard_3-0-0_089079_2013-07-16_final
2013-07-17 09:14:29	ga_ls8c_ard_3-0-0_089080_2013-07-16_final
2013-07-17 09:14:53	ga_ls8c_ard_3-0-0_089081_2013-07-16_final
2013-07-17 09:15:17	ga_ls8c_ard_3-0-0_089082_2013-07-16_final
2013-07-17 09:15:41	ga_ls8c_ard_3-0-0_089083_2013-07-16_final
2013-07-17 09:16:05	ga_ls8c_ard_3-0-0_089084_2013-07-16_final
2013-07-17 09:16:29	ga_ls8c_ard_3-0-0_089085_2013-07-16_final
2013-07-17 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-07-16_final
2013-07-17 09:18:05	ga_ls8c_ard_3-0-0_089089_2013-07-16_final
2013-07-17 09:18:29	ga_ls8c_ard_3-0-0_089090_2013-07-16_final

Return to ga_ls8c_ard_3 across July 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

July

All days