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
2014-10-04 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
2015-12-30 09:13:50	ga_ls8c_ard_3-0-0_089083_2015-12-29_final
2015-12-30 09:14:14	ga_ls8c_ard_3-0-0_089084_2015-12-29_final
2015-12-30 09:14:38	ga_ls8c_ard_3-0-0_089085_2015-12-29_final
2015-12-30 09:15:02	ga_ls8c_ard_3-0-0_089086_2015-12-29_final
2015-12-30 09:15:26	ga_ls8c_ard_3-0-0_089087_2015-12-29_final
2015-12-30 09:15:49	ga_ls8c_ard_3-0-0_089088_2015-12-29_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
2016-02-14 09:24:25	ga_ls8c_ard_3-0-0_091079_2016-02-13_final
2016-02-14 09:24:49	ga_ls8c_ard_3-0-0_091080_2016-02-13_final
2016-02-16 09:13:38	ga_ls8c_ard_3-0-0_089083_2016-02-15_final
2016-02-16 09:14:02	ga_ls8c_ard_3-0-0_089084_2016-02-15_final
2016-02-16 09:14:26	ga_ls8c_ard_3-0-0_089085_2016-02-15_final
2016-02-16 09:14:50	ga_ls8c_ard_3-0-0_089086_2016-02-15_final
2016-02-16 09:15:14	ga_ls8c_ard_3-0-0_089087_2016-02-15_final
2016-02-16 09:15:38	ga_ls8c_ard_3-0-0_089088_2016-02-15_final
2017-04-14 09:17:46	ga_ls8c_ard_3-0-0_090079_2017-04-13_final
2017-04-14 09:18:10	ga_ls8c_ard_3-0-0_090080_2017-04-13_final
2017-04-14 09:18:34	ga_ls8c_ard_3-0-0_090081_2017-04-13_final
2017-04-14 09:18:58	ga_ls8c_ard_3-0-0_090082_2017-04-13_final
2017-04-14 09:19:22	ga_ls8c_ard_3-0-0_090083_2017-04-13_final
2017-04-14 09:19:45	ga_ls8c_ard_3-0-0_090084_2017-04-13_final
2017-07-26 09:22:24	ga_ls8c_ard_3-0-0_091074_2017-07-25_final
2017-07-26 09:22:48	ga_ls8c_ard_3-0-0_091075_2017-07-25_final
2017-07-26 09:23:12	ga_ls8c_ard_3-0-0_091076_2017-07-25_final
2017-07-26 09:23:36	ga_ls8c_ard_3-0-0_091077_2017-07-25_final
2017-07-26 09:24:00	ga_ls8c_ard_3-0-0_091078_2017-07-25_final
2017-07-26 09:24:24	ga_ls8c_ard_3-0-0_091079_2017-07-25_final
2017-07-26 09:24:48	ga_ls8c_ard_3-0-0_091080_2017-07-25_final
2017-11-13 09:33:54	ga_ls8c_ard_3-0-0_093071_2017-11-13_final
2017-11-15 09:22:44	ga_ls8c_ard_3-0-0_091074_2017-11-14_final
2017-11-15 09:23:08	ga_ls8c_ard_3-0-0_091075_2017-11-14_final
2017-11-15 09:23:32	ga_ls8c_ard_3-0-0_091076_2017-11-14_final
2017-11-15 09:23:56	ga_ls8c_ard_3-0-0_091077_2017-11-14_final
2017-11-15 09:24:19	ga_ls8c_ard_3-0-0_091078_2017-11-14_final
2017-11-15 09:24:43	ga_ls8c_ard_3-0-0_091079_2017-11-14_final
2017-11-15 09:25:07	ga_ls8c_ard_3-0-0_091080_2017-11-14_final
2017-11-24 09:18:29	ga_ls8c_ard_3-0-0_090079_2017-11-23_final
2017-11-24 09:18:53	ga_ls8c_ard_3-0-0_090080_2017-11-23_final
2017-11-24 09:19:17	ga_ls8c_ard_3-0-0_090081_2017-11-23_final
2017-11-24 09:19:41	ga_ls8c_ard_3-0-0_090082_2017-11-23_final
2017-11-24 09:20:05	ga_ls8c_ard_3-0-0_090083_2017-11-23_final
2017-11-24 09:20:29	ga_ls8c_ard_3-0-0_090084_2017-11-23_final
2017-12-17 09:22:40	ga_ls8c_ard_3-0-0_091074_2017-12-16_final
2017-12-17 09:23:04	ga_ls8c_ard_3-0-0_091075_2017-12-16_final
2017-12-17 09:23:28	ga_ls8c_ard_3-0-0_091076_2017-12-16_final
2017-12-17 09:23:52	ga_ls8c_ard_3-0-0_091077_2017-12-16_final
2017-12-17 09:24:15	ga_ls8c_ard_3-0-0_091078_2017-12-16_final
2017-12-17 09:24:39	ga_ls8c_ard_3-0-0_091079_2017-12-16_final
2017-12-17 09:25:03	ga_ls8c_ard_3-0-0_091080_2017-12-16_final
2017-12-26 09:18:29	ga_ls8c_ard_3-0-0_090079_2017-12-25_final
2017-12-26 09:18:53	ga_ls8c_ard_3-0-0_090080_2017-12-25_final
2017-12-26 09:19:17	ga_ls8c_ard_3-0-0_090081_2017-12-25_final
2017-12-26 09:19:41	ga_ls8c_ard_3-0-0_090082_2017-12-25_final
2017-12-26 09:20:05	ga_ls8c_ard_3-0-0_090083_2017-12-25_final
2017-12-26 09:20:28	ga_ls8c_ard_3-0-0_090084_2017-12-25_final
2017-12-31 09:33:48	ga_ls8c_ard_3-0-0_093071_2017-12-31_final
2018-01-02 09:22:38	ga_ls8c_ard_3-0-0_091074_2018-01-01_final
2018-01-02 09:23:02	ga_ls8c_ard_3-0-0_091075_2018-01-01_final
2018-01-02 09:23:26	ga_ls8c_ard_3-0-0_091076_2018-01-01_final
2018-01-02 09:23:49	ga_ls8c_ard_3-0-0_091077_2018-01-01_final
2018-01-02 09:24:13	ga_ls8c_ard_3-0-0_091078_2018-01-01_final
2018-01-02 09:24:37	ga_ls8c_ard_3-0-0_091079_2018-01-01_final
2018-01-02 09:25:01	ga_ls8c_ard_3-0-0_091080_2018-01-01_final
2018-03-21 09:31:35	ga_ls8c_ard_3-0-0_093067_2018-03-21_final
2018-03-21 09:31:59	ga_ls8c_ard_3-0-0_093068_2018-03-21_final
2018-05-03 09:17:27	ga_ls8c_ard_3-0-0_090079_2018-05-02_final
2018-05-03 09:17:51	ga_ls8c_ard_3-0-0_090080_2018-05-02_final
2018-05-03 09:18:14	ga_ls8c_ard_3-0-0_090081_2018-05-02_final
2018-05-03 09:18:38	ga_ls8c_ard_3-0-0_090082_2018-05-02_final
2018-05-03 09:19:02	ga_ls8c_ard_3-0-0_090083_2018-05-02_final
2018-05-03 09:19:26	ga_ls8c_ard_3-0-0_090084_2018-05-02_final
2018-07-06 09:17:24	ga_ls8c_ard_3-0-0_090079_2018-07-05_final
2018-07-06 09:17:48	ga_ls8c_ard_3-0-0_090080_2018-07-05_final
2018-07-06 09:18:11	ga_ls8c_ard_3-0-0_090081_2018-07-05_final
2018-07-06 09:18:35	ga_ls8c_ard_3-0-0_090082_2018-07-05_final
2018-07-06 09:18:59	ga_ls8c_ard_3-0-0_090083_2018-07-05_final
2018-07-06 09:19:23	ga_ls8c_ard_3-0-0_090084_2018-07-05_final
2020-02-18 09:18:19	ga_ls8c_ard_3-1-0_090079_2020-02-17_final
2020-02-18 09:18:43	ga_ls8c_ard_3-1-0_090080_2020-02-17_final
2020-02-18 09:19:07	ga_ls8c_ard_3-1-0_090081_2020-02-17_final
2020-02-18 09:19:31	ga_ls8c_ard_3-1-0_090082_2020-02-17_final
2020-02-18 09:19:55	ga_ls8c_ard_3-1-0_090083_2020-02-17_final
2020-02-18 09:20:19	ga_ls8c_ard_3-1-0_090084_2020-02-17_final
2020-03-05 09:18:14	ga_ls8c_ard_3-1-0_090079_2020-03-04_final
2020-03-05 09:18:38	ga_ls8c_ard_3-1-0_090080_2020-03-04_final
2020-03-05 09:19:02	ga_ls8c_ard_3-1-0_090081_2020-03-04_final
2020-03-05 09:19:26	ga_ls8c_ard_3-1-0_090082_2020-03-04_final
2020-03-05 09:19:50	ga_ls8c_ard_3-1-0_090083_2020-03-04_final
2020-03-05 09:20:14	ga_ls8c_ard_3-1-0_090084_2020-03-04_final
2020-05-08 09:17:41	ga_ls8c_ard_3-1-0_090079_2020-05-07_final
2020-05-08 09:18:05	ga_ls8c_ard_3-1-0_090080_2020-05-07_final
2020-05-08 09:18:29	ga_ls8c_ard_3-1-0_090081_2020-05-07_final
2020-05-08 09:18:53	ga_ls8c_ard_3-1-0_090082_2020-05-07_final
2020-05-08 09:19:17	ga_ls8c_ard_3-1-0_090083_2020-05-07_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