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
2014-02-15 09:26:43	ga_ls8c_ard_3-0-0_092067_2014-02-14_final
2014-02-15 09:27:07	ga_ls8c_ard_3-0-0_092068_2014-02-14_final
2014-02-17 09:17:32	ga_ls8c_ard_3-0-0_090075_2014-02-16_final
2014-02-17 09:17:56	ga_ls8c_ard_3-0-0_090076_2014-02-16_final
2014-02-17 09:18:20	ga_ls8c_ard_3-0-0_090077_2014-02-16_final
2014-02-17 09:18:44	ga_ls8c_ard_3-0-0_090078_2014-02-16_final
2014-02-17 09:19:08	ga_ls8c_ard_3-0-0_090079_2014-02-16_final
2014-02-17 09:19:31	ga_ls8c_ard_3-0-0_090080_2014-02-16_final
2014-04-06 09:16:52	ga_ls8c_ard_3-0-0_090075_2014-04-05_final
2014-04-06 09:17:16	ga_ls8c_ard_3-0-0_090076_2014-04-05_final
2014-04-06 09:17:40	ga_ls8c_ard_3-0-0_090077_2014-04-05_final
2014-04-06 09:18:03	ga_ls8c_ard_3-0-0_090078_2014-04-05_final
2014-04-06 09:18:27	ga_ls8c_ard_3-0-0_090079_2014-04-05_final
2014-04-06 09:18:51	ga_ls8c_ard_3-0-0_090080_2014-04-05_final
2014-05-08 09:16:19	ga_ls8c_ard_3-0-0_090075_2014-05-07_final
2014-05-08 09:16:43	ga_ls8c_ard_3-0-0_090076_2014-05-07_final
2014-05-08 09:17:07	ga_ls8c_ard_3-0-0_090077_2014-05-07_final
2014-05-08 09:17:31	ga_ls8c_ard_3-0-0_090078_2014-05-07_final
2014-05-08 09:17:55	ga_ls8c_ard_3-0-0_090079_2014-05-07_final
2014-05-08 09:18:19	ga_ls8c_ard_3-0-0_090080_2014-05-07_final
2014-05-24 09:16:12	ga_ls8c_ard_3-0-0_090075_2014-05-23_final
2014-05-24 09:16:36	ga_ls8c_ard_3-0-0_090076_2014-05-23_final
2014-05-24 09:17:00	ga_ls8c_ard_3-0-0_090077_2014-05-23_final
2014-05-24 09:17:24	ga_ls8c_ard_3-0-0_090078_2014-05-23_final
2014-05-24 09:17:47	ga_ls8c_ard_3-0-0_090079_2014-05-23_final
2014-05-24 09:18:11	ga_ls8c_ard_3-0-0_090080_2014-05-23_final
2014-06-16 09:22:11	ga_ls8c_ard_3-0-0_091074_2014-06-15_final
2014-06-16 09:22:35	ga_ls8c_ard_3-0-0_091075_2014-06-15_final
2014-06-18 09:11:50	ga_ls8c_ard_3-0-0_089079_2014-06-17_final
2014-06-18 09:12:14	ga_ls8c_ard_3-0-0_089080_2014-06-17_final
2014-06-18 09:12:38	ga_ls8c_ard_3-0-0_089081_2014-06-17_final
2014-06-18 09:13:02	ga_ls8c_ard_3-0-0_089082_2014-06-17_final
2014-06-18 09:13:25	ga_ls8c_ard_3-0-0_089083_2014-06-17_final
2014-06-18 09:13:49	ga_ls8c_ard_3-0-0_089084_2014-06-17_final
2014-06-25 09:16:25	ga_ls8c_ard_3-0-0_090075_2014-06-24_final
2014-06-25 09:16:49	ga_ls8c_ard_3-0-0_090076_2014-06-24_final
2014-06-25 09:17:12	ga_ls8c_ard_3-0-0_090077_2014-06-24_final
2014-06-25 09:17:36	ga_ls8c_ard_3-0-0_090078_2014-06-24_final
2014-06-25 09:18:00	ga_ls8c_ard_3-0-0_090079_2014-06-24_final
2014-06-25 09:18:24	ga_ls8c_ard_3-0-0_090080_2014-06-24_final
2018-11-20 09:12:03	ga_ls8c_ard_3-0-0_089079_2018-11-19_final
2018-11-20 09:12:27	ga_ls8c_ard_3-0-0_089080_2018-11-19_final
2018-11-20 09:12:51	ga_ls8c_ard_3-0-0_089081_2018-11-19_final
2018-11-20 09:13:15	ga_ls8c_ard_3-0-0_089082_2018-11-19_final
2018-11-20 09:13:39	ga_ls8c_ard_3-0-0_089083_2018-11-19_final
2018-11-20 09:14:03	ga_ls8c_ard_3-0-0_089084_2018-11-19_final
2019-01-07 09:11:59	ga_ls8c_ard_3-0-0_089079_2019-01-06_final
2019-01-07 09:12:23	ga_ls8c_ard_3-0-0_089080_2019-01-06_final
2019-01-07 09:12:47	ga_ls8c_ard_3-0-0_089081_2019-01-06_final
2019-01-07 09:13:10	ga_ls8c_ard_3-0-0_089082_2019-01-06_final
2019-01-07 09:13:34	ga_ls8c_ard_3-0-0_089083_2019-01-06_final
2019-01-07 09:13:58	ga_ls8c_ard_3-0-0_089084_2019-01-06_final
2019-08-28 09:07:43	ga_ls8c_ard_3-1-0_088083_2019-08-27_final
2019-08-28 09:08:07	ga_ls8c_ard_3-1-0_088084_2019-08-27_final
2019-10-13 09:16:41	ga_ls8c_ard_3-1-0_090074_2019-10-12_final
2019-10-13 09:17:05	ga_ls8c_ard_3-1-0_090075_2019-10-12_final
2019-10-13 09:17:29	ga_ls8c_ard_3-1-0_090076_2019-10-12_final
2019-10-13 09:17:53	ga_ls8c_ard_3-1-0_090077_2019-10-12_final
2019-10-13 09:18:17	ga_ls8c_ard_3-1-0_090078_2019-10-12_final
2019-10-13 09:18:41	ga_ls8c_ard_3-1-0_090079_2019-10-12_final
2019-10-13 09:19:05	ga_ls8c_ard_3-1-0_090080_2019-10-12_final
2019-10-15 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-14_final
2019-10-15 09:08:19	ga_ls8c_ard_3-1-0_088084_2019-10-14_final
2020-08-05 09:12:05	ga_ls8c_ard_3-1-0_089079_2020-08-04_final
2020-08-05 09:12:28	ga_ls8c_ard_3-1-0_089080_2020-08-04_final
2020-08-05 09:12:52	ga_ls8c_ard_3-1-0_089081_2020-08-04_final
2020-08-05 09:13:16	ga_ls8c_ard_3-1-0_089082_2020-08-04_final
2020-08-05 09:13:40	ga_ls8c_ard_3-1-0_089083_2020-08-04_final
2020-08-05 09:14:04	ga_ls8c_ard_3-1-0_089084_2020-08-04_final
2022-03-18 09:21:35	ga_ls8c_ard_3-2-1_091072_2022-03-17_final
2022-03-18 09:21:59	ga_ls8c_ard_3-2-1_091073_2022-03-17_final
2022-03-18 09:22:23	ga_ls8c_ard_3-2-1_091074_2022-03-17_final
2022-03-18 09:22:47	ga_ls8c_ard_3-2-1_091075_2022-03-17_final
2022-03-20 09:12:00	ga_ls8c_ard_3-2-1_089079_2022-03-19_final
2022-03-20 09:12:24	ga_ls8c_ard_3-2-1_089080_2022-03-19_final
2022-03-20 09:12:48	ga_ls8c_ard_3-2-1_089081_2022-03-19_final
2022-03-20 09:13:11	ga_ls8c_ard_3-2-1_089082_2022-03-19_final
2022-03-20 09:13:35	ga_ls8c_ard_3-2-1_089083_2022-03-19_final
2022-03-20 09:13:59	ga_ls8c_ard_3-2-1_089084_2022-03-19_final
2022-03-29 09:07:17	ga_ls8c_ard_3-2-1_088083_2022-03-28_final
2022-05-14 09:16:13	ga_ls8c_ard_3-2-1_090074_2022-05-13_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-05-14 09:17:25	ga_ls8c_ard_3-2-1_090077_2022-05-13_final
2022-05-14 09:17:49	ga_ls8c_ard_3-2-1_090078_2022-05-13_final
2022-05-14 09:18:13	ga_ls8c_ard_3-2-1_090079_2022-05-13_final
2022-05-14 09:18:37	ga_ls8c_ard_3-2-1_090080_2022-05-13_final
2024-03-16 09:16:07	ga_ls8c_ard_3-2-1_090074_2024-03-15_final
2024-03-16 09:16:31	ga_ls8c_ard_3-2-1_090075_2024-03-15_final
2024-03-16 09:16:55	ga_ls8c_ard_3-2-1_090076_2024-03-15_final
2024-03-16 09:17:19	ga_ls8c_ard_3-2-1_090077_2024-03-15_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-16 09:18:07	ga_ls8c_ard_3-2-1_090079_2024-03-15_final
2024-03-16 09:18:31	ga_ls8c_ard_3-2-1_090080_2024-03-15_final
2024-04-01 09:15:55	ga_ls8c_ard_3-2-1_090074_2024-03-31_final
2024-04-01 09:16:19	ga_ls8c_ard_3-2-1_090075_2024-03-31_final
2024-04-01 09:16:42	ga_ls8c_ard_3-2-1_090076_2024-03-31_final
2024-04-01 09:17:06	ga_ls8c_ard_3-2-1_090077_2024-03-31_final
2024-04-01 09:17:30	ga_ls8c_ard_3-2-1_090078_2024-03-31_final
2024-04-01 09:17:54	ga_ls8c_ard_3-2-1_090079_2024-03-31_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