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
2015-08-31 09:17:18	ga_ls8c_ard_3-0-0_090077_2015-08-30_final
2015-08-31 09:17:42	ga_ls8c_ard_3-0-0_090078_2015-08-30_final
2015-08-31 09:18:06	ga_ls8c_ard_3-0-0_090079_2015-08-30_final
2015-08-31 09:18:30	ga_ls8c_ard_3-0-0_090080_2015-08-30_final
2015-08-31 09:18:54	ga_ls8c_ard_3-0-0_090081_2015-08-30_final
2015-08-31 09:19:18	ga_ls8c_ard_3-0-0_090082_2015-08-30_final
2015-10-18 09:17:31	ga_ls8c_ard_3-0-0_090077_2015-10-17_final
2015-10-18 09:17:55	ga_ls8c_ard_3-0-0_090078_2015-10-17_final
2015-10-18 09:18:19	ga_ls8c_ard_3-0-0_090079_2015-10-17_final
2015-10-18 09:18:43	ga_ls8c_ard_3-0-0_090080_2015-10-17_final
2015-10-18 09:19:07	ga_ls8c_ard_3-0-0_090081_2015-10-17_final
2015-10-18 09:19:31	ga_ls8c_ard_3-0-0_090082_2015-10-17_final
2015-11-28 09:13:04	ga_ls8c_ard_3-0-0_089081_2015-11-27_final
2015-12-05 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-04_final
2015-12-05 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-12-04_final
2015-12-05 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-12-04_final
2015-12-05 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-12-04_final
2015-12-05 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-12-04_final
2015-12-05 09:19:38	ga_ls8c_ard_3-0-0_090082_2015-12-04_final
2015-12-21 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-20_final
2015-12-21 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-12-20_final
2015-12-21 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-12-20_final
2015-12-21 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-12-20_final
2015-12-21 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-12-20_final
2015-12-21 09:19:38	ga_ls8c_ard_3-0-0_090082_2015-12-20_final
2016-01-13 09:21:46	ga_ls8c_ard_3-0-0_091072_2016-01-12_final
2016-01-13 09:22:10	ga_ls8c_ard_3-0-0_091073_2016-01-12_final
2016-01-13 09:22:33	ga_ls8c_ard_3-0-0_091074_2016-01-12_final
2016-01-13 09:22:57	ga_ls8c_ard_3-0-0_091075_2016-01-12_final
2016-01-13 09:23:21	ga_ls8c_ard_3-0-0_091076_2016-01-12_final
2016-01-13 09:23:45	ga_ls8c_ard_3-0-0_091077_2016-01-12_final
2016-01-13 09:24:09	ga_ls8c_ard_3-0-0_091078_2016-01-12_final
2016-01-15 09:13:00	ga_ls8c_ard_3-0-0_089081_2016-01-14_final
2016-01-15 09:13:24	ga_ls8c_ard_3-0-0_089082_2016-01-14_final
2016-01-15 09:13:48	ga_ls8c_ard_3-0-0_089083_2016-01-14_final
2016-01-15 09:14:12	ga_ls8c_ard_3-0-0_089084_2016-01-14_final
2016-01-15 09:14:36	ga_ls8c_ard_3-0-0_089085_2016-01-14_final
2016-01-15 09:14:59	ga_ls8c_ard_3-0-0_089086_2016-01-14_final
2016-02-14 09:21:38	ga_ls8c_ard_3-0-0_091072_2016-02-13_final
2016-02-14 09:22:02	ga_ls8c_ard_3-0-0_091073_2016-02-13_final
2016-02-14 09:22:26	ga_ls8c_ard_3-0-0_091074_2016-02-13_final
2016-02-14 09:22:50	ga_ls8c_ard_3-0-0_091075_2016-02-13_final
2016-02-14 09:23:14	ga_ls8c_ard_3-0-0_091076_2016-02-13_final
2016-02-14 09:23:37	ga_ls8c_ard_3-0-0_091077_2016-02-13_final
2016-02-14 09:24:01	ga_ls8c_ard_3-0-0_091078_2016-02-13_final
2016-03-01 09:21:35	ga_ls8c_ard_3-0-0_091072_2016-02-29_final
2016-03-01 09:21:58	ga_ls8c_ard_3-0-0_091073_2016-02-29_final
2016-03-01 09:22:22	ga_ls8c_ard_3-0-0_091074_2016-02-29_final
2016-03-01 09:22:46	ga_ls8c_ard_3-0-0_091075_2016-02-29_final
2016-03-01 09:23:10	ga_ls8c_ard_3-0-0_091076_2016-02-29_final
2016-03-01 09:23:34	ga_ls8c_ard_3-0-0_091077_2016-02-29_final
2016-03-01 09:23:58	ga_ls8c_ard_3-0-0_091078_2016-02-29_final
2016-03-03 09:12:48	ga_ls8c_ard_3-0-0_089081_2016-03-02_final
2016-03-03 09:13:12	ga_ls8c_ard_3-0-0_089082_2016-03-02_final
2016-03-03 09:13:36	ga_ls8c_ard_3-0-0_089083_2016-03-02_final
2016-03-03 09:14:00	ga_ls8c_ard_3-0-0_089084_2016-03-02_final
2016-03-03 09:14:24	ga_ls8c_ard_3-0-0_089085_2016-03-02_final
2016-03-03 09:14:48	ga_ls8c_ard_3-0-0_089086_2016-03-02_final
2016-03-26 09:17:13	ga_ls8c_ard_3-0-0_090077_2016-03-25_final
2016-03-26 09:17:37	ga_ls8c_ard_3-0-0_090078_2016-03-25_final
2016-03-26 09:18:01	ga_ls8c_ard_3-0-0_090079_2016-03-25_final
2016-03-26 09:18:25	ga_ls8c_ard_3-0-0_090080_2016-03-25_final
2016-03-26 09:18:49	ga_ls8c_ard_3-0-0_090081_2016-03-25_final
2016-03-26 09:19:13	ga_ls8c_ard_3-1-0_090082_2016-03-25_final
2019-01-23 09:12:43	ga_ls8c_ard_3-0-0_089081_2019-01-22_final
2019-01-23 09:13:07	ga_ls8c_ard_3-0-0_089082_2019-01-22_final
2019-01-23 09:13:31	ga_ls8c_ard_3-0-0_089083_2019-01-22_final
2019-01-23 09:13:55	ga_ls8c_ard_3-0-0_089084_2019-01-22_final
2019-01-23 09:14:19	ga_ls8c_ard_3-0-0_089085_2019-01-22_final
2019-01-23 09:14:43	ga_ls8c_ard_3-0-0_089086_2019-01-22_final
2019-02-08 09:12:40	ga_ls8c_ard_3-0-0_089081_2019-02-07_final
2019-02-08 09:13:04	ga_ls8c_ard_3-0-0_089082_2019-02-07_final
2019-02-08 09:13:28	ga_ls8c_ard_3-0-0_089083_2019-02-07_final
2019-02-08 09:13:52	ga_ls8c_ard_3-0-0_089084_2019-02-07_final
2019-02-08 09:14:16	ga_ls8c_ard_3-0-0_089085_2019-02-07_final
2019-02-08 09:14:40	ga_ls8c_ard_3-0-0_089086_2019-02-07_final
2019-03-12 09:12:32	ga_ls8c_ard_3-1-0_089081_2019-03-11_final
2019-03-12 09:12:56	ga_ls8c_ard_3-1-0_089082_2019-03-11_final
2019-03-12 09:13:20	ga_ls8c_ard_3-1-0_089083_2019-03-11_final
2019-03-12 09:13:43	ga_ls8c_ard_3-1-0_089084_2019-03-11_final
2019-03-12 09:14:07	ga_ls8c_ard_3-1-0_089085_2019-03-11_final
2019-03-12 09:14:31	ga_ls8c_ard_3-1-0_089086_2019-03-11_final
2019-04-29 09:12:19	ga_ls8c_ard_3-0-0_089081_2019-04-28_final
2019-04-29 09:12:43	ga_ls8c_ard_3-0-0_089082_2019-04-28_final
2019-04-29 09:13:07	ga_ls8c_ard_3-0-0_089083_2019-04-28_final
2019-04-29 09:13:31	ga_ls8c_ard_3-0-0_089084_2019-04-28_final
2019-04-29 09:13:55	ga_ls8c_ard_3-0-0_089085_2019-04-28_final
2019-04-29 09:14:19	ga_ls8c_ard_3-0-0_089086_2019-04-28_final
2023-05-08 09:21:04	ga_ls8c_ard_3-2-1_091072_2023-05-07_final
2023-05-08 09:21:28	ga_ls8c_ard_3-2-1_091073_2023-05-07_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-08 09:22:39	ga_ls8c_ard_3-2-1_091076_2023-05-07_final
2023-05-08 09:23:03	ga_ls8c_ard_3-2-1_091077_2023-05-07_final
2023-05-08 09:23:27	ga_ls8c_ard_3-2-1_091078_2023-05-07_final
2023-06-02 09:16:48	ga_ls8c_ard_3-2-1_090077_2023-06-01_final
2023-06-02 09:17:12	ga_ls8c_ard_3-2-1_090078_2023-06-01_final
2023-06-02 09:17:36	ga_ls8c_ard_3-2-1_090079_2023-06-01_final
2023-06-02 09:18:00	ga_ls8c_ard_3-2-1_090080_2023-06-01_final
2023-06-02 09:18:24	ga_ls8c_ard_3-2-1_090081_2023-06-01_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