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
2014-02-26 09:14:01	ga_ls8c_ard_3-0-0_089082_2014-02-25_final
2014-02-26 09:14:25	ga_ls8c_ard_3-0-0_089083_2014-02-25_final
2014-02-26 09:14:49	ga_ls8c_ard_3-0-0_089084_2014-02-25_final
2014-02-26 09:15:13	ga_ls8c_ard_3-0-0_089085_2014-02-25_final
2014-02-26 09:15:37	ga_ls8c_ard_3-0-0_089086_2014-02-25_final
2014-03-21 09:18:19	ga_ls8c_ard_3-0-0_090078_2014-03-20_final
2014-03-21 09:18:42	ga_ls8c_ard_3-0-0_090079_2014-03-20_final
2014-03-21 09:19:06	ga_ls8c_ard_3-0-0_090080_2014-03-20_final
2014-03-21 09:19:30	ga_ls8c_ard_3-0-0_090081_2014-03-20_final
2014-03-21 09:19:54	ga_ls8c_ard_3-0-0_090082_2014-03-20_final
2014-03-21 09:20:18	ga_ls8c_ard_3-0-0_090083_2014-03-20_final
2014-03-26 09:32:20	ga_ls8c_ard_3-0-0_093067_2014-03-26_final
2014-03-26 09:32:44	ga_ls8c_ard_3-0-0_093068_2014-03-26_final
2014-04-15 09:13:17	ga_ls8c_ard_3-0-0_089082_2014-04-14_final
2014-04-15 09:13:41	ga_ls8c_ard_3-0-0_089083_2014-04-14_final
2014-04-15 09:14:05	ga_ls8c_ard_3-0-0_089084_2014-04-14_final
2014-04-15 09:14:29	ga_ls8c_ard_3-0-0_089085_2014-04-14_final
2014-04-15 09:14:53	ga_ls8c_ard_3-0-0_089086_2014-04-14_final
2014-04-27 09:31:52	ga_ls8c_ard_3-0-0_093067_2014-04-27_final
2014-04-27 09:32:16	ga_ls8c_ard_3-0-0_093068_2014-04-27_final
2014-05-15 09:22:50	ga_ls8c_ard_3-0-0_091076_2014-05-14_final
2014-05-15 09:23:14	ga_ls8c_ard_3-0-0_091077_2014-05-14_final
2014-05-15 09:23:38	ga_ls8c_ard_3-0-0_091078_2014-05-14_final
2014-05-15 09:24:02	ga_ls8c_ard_3-0-0_091079_2014-05-14_final
2014-05-17 09:12:50	ga_ls8c_ard_3-0-0_089082_2014-05-16_final
2014-05-17 09:13:14	ga_ls8c_ard_3-0-0_089083_2014-05-16_final
2014-05-17 09:13:38	ga_ls8c_ard_3-0-0_089084_2014-05-16_final
2014-05-17 09:14:02	ga_ls8c_ard_3-0-0_089085_2014-05-16_final
2014-05-17 09:14:26	ga_ls8c_ard_3-0-0_089086_2014-05-16_final
2014-06-07 09:27:31	ga_ls8c_ard_3-0-0_092072_2014-06-06_final
2014-06-07 09:27:55	ga_ls8c_ard_3-0-0_092073_2014-06-06_final
2014-06-07 09:28:19	ga_ls8c_ard_3-0-0_092074_2014-06-06_final
2014-07-25 09:27:44	ga_ls8c_ard_3-0-0_092072_2014-07-24_final
2014-07-25 09:28:08	ga_ls8c_ard_3-1-0_092073_2014-07-24_final
2014-07-25 09:28:32	ga_ls8c_ard_3-0-0_092074_2014-07-24_final
2014-07-27 09:17:48	ga_ls8c_ard_3-0-0_090078_2014-07-26_final
2014-07-27 09:18:12	ga_ls8c_ard_3-0-0_090079_2014-07-26_final
2014-07-27 09:18:36	ga_ls8c_ard_3-0-0_090080_2014-07-26_final
2014-07-27 09:19:00	ga_ls8c_ard_3-0-0_090081_2014-07-26_final
2014-07-27 09:19:24	ga_ls8c_ard_3-0-0_090082_2014-07-26_final
2014-07-27 09:19:48	ga_ls8c_ard_3-0-0_090083_2014-07-26_final
2014-10-04 09:32:14	ga_ls8c_ard_3-0-0_093067_2014-10-04_final
2014-10-04 09:32:38	ga_ls8c_ard_3-0-0_093068_2014-10-04_final
2014-10-29 09:28:02	ga_ls8c_ard_3-0-0_092072_2014-10-28_final
2014-10-29 09:28:26	ga_ls8c_ard_3-0-0_092073_2014-10-28_final
2014-10-29 09:28:50	ga_ls8c_ard_3-0-0_092074_2014-10-28_final
2014-11-23 09:22:39	ga_ls8c_ard_3-0-0_091074_2014-11-22_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
2014-11-25 09:13:30	ga_ls8c_ard_3-0-0_089082_2014-11-24_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
2017-11-01 09:13:37	ga_ls8c_ard_3-0-0_089082_2017-10-31_final
2017-11-01 09:14:01	ga_ls8c_ard_3-0-0_089083_2017-10-31_final
2017-11-01 09:14:24	ga_ls8c_ard_3-0-0_089084_2017-10-31_final
2017-11-01 09:14:48	ga_ls8c_ard_3-0-0_089085_2017-10-31_final
2017-11-01 09:15:12	ga_ls8c_ard_3-0-0_089086_2017-10-31_final
2017-11-01 09:15:36	ga_ls8c_ard_3-0-0_089087_2017-10-31_final
2017-11-06 09:27:45	ga_ls8c_ard_3-0-0_092071_2017-11-05_final
2017-11-06 09:28:09	ga_ls8c_ard_3-0-0_092072_2017-11-05_final
2017-11-06 09:28:33	ga_ls8c_ard_3-0-0_092073_2017-11-05_final
2017-11-06 09:28:57	ga_ls8c_ard_3-0-0_092074_2017-11-05_final
2017-11-08 09:18:11	ga_ls8c_ard_3-0-0_090078_2017-11-07_final
2017-11-08 09:18:34	ga_ls8c_ard_3-0-0_090079_2017-11-07_final
2017-11-08 09:18:58	ga_ls8c_ard_3-0-0_090080_2017-11-07_final
2017-11-08 09:19:22	ga_ls8c_ard_3-0-0_090081_2017-11-07_final
2017-11-08 09:19:46	ga_ls8c_ard_3-0-0_090082_2017-11-07_final
2017-11-08 09:20:10	ga_ls8c_ard_3-0-0_090083_2017-11-07_final
2018-01-09 09:27:34	ga_ls8c_ard_3-0-0_092071_2018-01-08_final
2018-01-09 09:27:58	ga_ls8c_ard_3-0-0_092072_2018-01-08_final
2018-01-09 09:28:22	ga_ls8c_ard_3-0-0_092073_2018-01-08_final
2018-01-09 09:28:46	ga_ls8c_ard_3-0-0_092074_2018-01-08_final
2018-01-11 09:17:59	ga_ls8c_ard_3-0-0_090078_2018-01-10_final
2018-01-11 09:18:23	ga_ls8c_ard_3-0-0_090079_2018-01-10_final
2018-01-11 09:18:47	ga_ls8c_ard_3-0-0_090080_2018-01-10_final
2018-01-11 09:19:11	ga_ls8c_ard_3-0-0_090081_2018-01-10_final
2018-01-11 09:19:35	ga_ls8c_ard_3-0-0_090082_2018-01-10_final
2018-01-11 09:19:59	ga_ls8c_ard_3-0-0_090083_2018-01-10_final
2018-01-20 09:13:19	ga_ls8c_ard_3-0-0_089082_2018-01-19_final
2018-01-20 09:13:43	ga_ls8c_ard_3-0-0_089083_2018-01-19_final
2018-01-20 09:14:07	ga_ls8c_ard_3-0-0_089084_2018-01-19_final
2018-01-20 09:14:31	ga_ls8c_ard_3-0-0_089085_2018-01-19_final
2018-01-20 09:14:55	ga_ls8c_ard_3-0-0_089086_2018-01-19_final
2018-01-20 09:15:19	ga_ls8c_ard_3-0-0_089087_2018-01-19_final
2018-10-03 09:13:04	ga_ls8c_ard_3-0-0_089082_2018-10-02_final
2018-10-03 09:13:28	ga_ls8c_ard_3-0-0_089083_2018-10-02_final
2018-10-03 09:13:52	ga_ls8c_ard_3-0-0_089084_2018-10-02_final
2018-10-03 09:14:16	ga_ls8c_ard_3-0-0_089085_2018-10-02_final
2018-10-03 09:14:40	ga_ls8c_ard_3-0-0_089086_2018-10-02_final
2018-10-03 09:15:04	ga_ls8c_ard_3-0-0_089087_2018-10-02_final
2018-10-19 09:13:10	ga_ls8c_ard_3-0-0_089082_2018-10-18_final
2018-10-19 09:13:34	ga_ls8c_ard_3-0-0_089083_2018-10-18_final
2018-10-19 09:13:58	ga_ls8c_ard_3-0-0_089084_2018-10-18_final
2018-10-19 09:14:22	ga_ls8c_ard_3-0-0_089085_2018-10-18_final
2018-10-19 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-10-18_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years