Search ga_ls8c_ard_3 whole collection

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
2013-06-06 09:20:20	ga_ls8c_ard_3-0-0_090079_2013-06-05_final
2013-06-06 09:20:44	ga_ls8c_ard_3-0-0_090080_2013-06-05_final
2013-06-06 09:21:08	ga_ls8c_ard_3-0-0_090081_2013-06-05_final
2013-06-06 09:21:32	ga_ls8c_ard_3-0-0_090082_2013-06-05_final
2013-06-06 09:21:56	ga_ls8c_ard_3-0-0_090083_2013-06-05_final
2013-06-06 09:22:20	ga_ls8c_ard_3-0-0_090084_2013-06-05_final
2013-08-02 09:15:43	ga_ls8c_ard_3-0-0_089083_2013-08-01_final
2013-08-02 09:16:07	ga_ls8c_ard_3-0-0_089084_2013-08-01_final
2013-11-13 09:20:01	ga_ls8c_ard_3-0-0_090079_2013-11-12_final
2013-11-13 09:20:25	ga_ls8c_ard_3-0-0_090080_2013-11-12_final
2013-11-13 09:20:49	ga_ls8c_ard_3-0-0_090081_2013-11-12_final
2013-11-13 09:21:13	ga_ls8c_ard_3-0-0_090082_2013-11-12_final
2013-11-13 09:21:37	ga_ls8c_ard_3-0-0_090083_2013-11-12_final
2013-11-13 09:22:01	ga_ls8c_ard_3-0-0_090084_2013-11-12_final
2014-07-16 09:33:31	ga_ls8c_ard_3-0-0_093071_2014-07-16_final
2014-07-18 09:22:45	ga_ls8c_ard_3-0-0_091075_2014-07-17_final
2014-07-18 09:23:09	ga_ls8c_ard_3-0-0_091076_2014-07-17_final
2014-07-18 09:23:33	ga_ls8c_ard_3-0-0_091077_2014-07-17_final
2014-07-18 09:23:57	ga_ls8c_ard_3-0-0_091078_2014-07-17_final
2014-07-18 09:24:21	ga_ls8c_ard_3-0-0_091079_2014-07-17_final
2014-07-18 09:24:45	ga_ls8c_ard_3-0-0_091080_2014-07-17_final
2014-10-04 09:33:49	ga_ls8c_ard_3-0-0_093071_2014-10-04_final
2014-10-06 09:23:04	ga_ls8c_ard_3-0-0_091075_2014-10-05_final
2014-10-06 09:23:28	ga_ls8c_ard_3-0-0_091076_2014-10-05_final
2014-10-06 09:23:52	ga_ls8c_ard_3-0-0_091077_2014-10-05_final
2014-10-06 09:24:16	ga_ls8c_ard_3-0-0_091078_2014-10-05_final
2014-10-06 09:24:40	ga_ls8c_ard_3-0-0_091079_2014-10-05_final
2014-10-06 09:25:04	ga_ls8c_ard_3-0-0_091080_2014-10-05_final
2014-10-20 09:32:17	ga_ls8c_ard_3-0-0_093067_2014-10-20_final
2014-10-20 09:32:41	ga_ls8c_ard_3-0-0_093068_2014-10-20_final
2014-10-20 09:33:53	ga_ls8c_ard_3-0-0_093071_2014-10-20_final
2014-11-05 09:32:16	ga_ls8c_ard_3-0-0_093067_2014-11-05_final
2014-11-05 09:32:40	ga_ls8c_ard_3-1-0_093068_2014-11-05_final
2014-11-05 09:33:52	ga_ls8c_ard_3-0-0_093071_2014-11-05_final
2014-11-07 09:23:06	ga_ls8c_ard_3-0-0_091075_2014-11-06_final
2014-11-07 09:23:30	ga_ls8c_ard_3-0-0_091076_2014-11-06_final
2014-11-07 09:23:54	ga_ls8c_ard_3-0-0_091077_2014-11-06_final
2014-11-07 09:24:18	ga_ls8c_ard_3-0-0_091078_2014-11-06_final
2014-11-07 09:24:42	ga_ls8c_ard_3-0-0_091079_2014-11-06_final
2014-11-07 09:25:06	ga_ls8c_ard_3-0-0_091080_2014-11-06_final
2014-11-09 09:13:57	ga_ls8c_ard_3-0-0_089083_2014-11-08_final
2014-11-09 09:14:21	ga_ls8c_ard_3-0-0_089084_2014-11-08_final
2014-11-09 09:14:45	ga_ls8c_ard_3-0-0_089085_2014-11-08_final
2014-11-09 09:15:09	ga_ls8c_ard_3-0-0_089086_2014-11-08_final
2014-11-21 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-11-21_final
2014-11-21 09:32:36	ga_ls8c_ard_3-0-0_093068_2014-11-21_final
2014-11-21 09:33:47	ga_ls8c_ard_3-0-0_093071_2014-11-21_final
2014-11-23 09:23:03	ga_ls8c_ard_3-0-0_091075_2014-11-22_final
2014-11-23 09:23:27	ga_ls8c_ard_3-0-0_091076_2014-11-22_final
2014-11-23 09:23:51	ga_ls8c_ard_3-0-0_091077_2014-11-22_final
2014-11-23 09:24:15	ga_ls8c_ard_3-0-0_091078_2014-11-22_final
2014-11-23 09:24:39	ga_ls8c_ard_3-0-0_091079_2014-11-22_final
2014-11-23 09:25:03	ga_ls8c_ard_3-0-0_091080_2014-11-22_final
2014-11-25 09:13:54	ga_ls8c_ard_3-0-0_089083_2014-11-24_final
2014-11-25 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-11-24_final
2014-11-25 09:14:42	ga_ls8c_ard_3-0-0_089085_2014-11-24_final
2014-11-25 09:15:06	ga_ls8c_ard_3-0-0_089086_2014-11-24_final
2018-02-26 09:27:12	ga_ls8c_ard_3-0-0_092071_2018-02-25_final
2018-02-26 09:27:36	ga_ls8c_ard_3-0-0_092072_2018-02-25_final
2018-02-26 09:27:59	ga_ls8c_ard_3-0-0_092073_2018-02-25_final
2018-02-26 09:28:23	ga_ls8c_ard_3-0-0_092074_2018-02-25_final
2018-02-26 09:28:47	ga_ls8c_ard_3-0-0_092075_2018-02-25_final
2018-02-26 09:29:11	ga_ls8c_ard_3-0-0_092076_2018-02-25_final
2018-03-05 09:33:19	ga_ls8c_ard_3-0-0_093071_2018-03-05_final
2018-03-07 09:22:32	ga_ls8c_ard_3-0-0_091075_2018-03-06_final
2018-03-07 09:22:56	ga_ls8c_ard_3-0-0_091076_2018-03-06_final
2018-03-07 09:23:20	ga_ls8c_ard_3-0-0_091077_2018-03-06_final
2018-03-07 09:23:44	ga_ls8c_ard_3-0-0_091078_2018-03-06_final
2018-03-07 09:24:07	ga_ls8c_ard_3-0-0_091079_2018-03-06_final
2018-03-07 09:24:31	ga_ls8c_ard_3-0-0_091080_2018-03-06_final
2018-03-14 09:27:02	ga_ls8c_ard_3-0-0_092071_2018-03-13_final
2018-03-14 09:27:26	ga_ls8c_ard_3-0-0_092072_2018-03-13_final
2018-03-14 09:27:50	ga_ls8c_ard_3-1-0_092073_2018-03-13_final
2018-03-14 09:28:14	ga_ls8c_ard_3-0-0_092074_2018-03-13_final
2018-03-14 09:28:38	ga_ls8c_ard_3-0-0_092075_2018-03-13_final
2018-03-14 09:29:02	ga_ls8c_ard_3-0-0_092076_2018-03-13_final
2018-03-21 09:33:10	ga_ls8c_ard_3-0-0_093071_2018-03-21_final
2018-03-23 09:22:24	ga_ls8c_ard_3-0-0_091075_2018-03-22_final
2018-03-23 09:22:48	ga_ls8c_ard_3-0-0_091076_2018-03-22_final
2018-03-23 09:23:12	ga_ls8c_ard_3-0-0_091077_2018-03-22_final
2018-03-23 09:23:35	ga_ls8c_ard_3-0-0_091078_2018-03-22_final
2018-03-23 09:23:59	ga_ls8c_ard_3-0-0_091079_2018-03-22_final
2018-03-23 09:24:23	ga_ls8c_ard_3-0-0_091080_2018-03-22_final
2018-04-15 09:26:47	ga_ls8c_ard_3-0-0_092071_2018-04-14_final
2018-04-15 09:27:11	ga_ls8c_ard_3-0-0_092072_2018-04-14_final
2018-04-15 09:27:35	ga_ls8c_ard_3-0-0_092073_2018-04-14_final
2018-04-15 09:27:59	ga_ls8c_ard_3-0-0_092074_2018-04-14_final
2018-04-15 09:28:23	ga_ls8c_ard_3-0-0_092075_2018-04-14_final
2018-04-15 09:28:46	ga_ls8c_ard_3-0-0_092076_2018-04-14_final
2018-06-02 09:26:15	ga_ls8c_ard_3-0-0_092071_2018-06-01_final
2018-06-02 09:26:39	ga_ls8c_ard_3-0-0_092072_2018-06-01_final
2018-06-02 09:27:03	ga_ls8c_ard_3-0-0_092073_2018-06-01_final
2018-06-02 09:27:27	ga_ls8c_ard_3-0-0_092074_2018-06-01_final
2018-06-02 09:27:51	ga_ls8c_ard_3-0-0_092075_2018-06-01_final
2018-06-02 09:28:15	ga_ls8c_ard_3-0-0_092076_2018-06-01_final
2018-07-04 09:26:33	ga_ls8c_ard_3-0-0_092071_2018-07-03_final
2018-07-04 09:26:57	ga_ls8c_ard_3-0-0_092072_2018-07-03_final
2018-07-04 09:27:21	ga_ls8c_ard_3-0-0_092073_2018-07-03_final
2018-07-04 09:27:44	ga_ls8c_ard_3-0-0_092074_2018-07-03_final
2018-07-04 09:28:08	ga_ls8c_ard_3-0-0_092075_2018-07-03_final

Return to ga_ls8c_ard_3 whole collection 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

All years