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
2019-10-28 11:52:24	ga_ls8c_ard_3-1-0_115077_2019-10-28_final
2019-10-28 11:52:48	ga_ls8c_ard_3-1-0_115078_2019-10-28_final
2019-10-28 11:53:12	ga_ls8c_ard_3-1-0_115079_2019-10-28_final
2019-10-28 11:53:36	ga_ls8c_ard_3-1-0_115080_2019-10-28_final
2019-11-13 11:52:22	ga_ls8c_ard_3-1-0_115077_2019-11-13_final
2019-11-13 11:52:46	ga_ls8c_ard_3-1-0_115078_2019-11-13_final
2019-11-13 11:53:09	ga_ls8c_ard_3-1-0_115079_2019-11-13_final
2019-11-13 11:53:33	ga_ls8c_ard_3-1-0_115080_2019-11-13_final
2019-11-29 11:52:43	ga_ls8c_ard_3-1-0_115078_2019-11-29_final
2019-11-29 11:53:07	ga_ls8c_ard_3-1-0_115079_2019-11-29_final
2019-11-29 11:53:31	ga_ls8c_ard_3-1-0_115080_2019-11-29_final
2019-12-22 11:57:15	ga_ls8c_ard_3-1-0_116074_2019-12-22_final
2019-12-22 11:57:39	ga_ls8c_ard_3-1-0_116075_2019-12-22_final
2019-12-22 11:58:03	ga_ls8c_ard_3-1-0_116076_2019-12-22_final
2019-12-22 11:58:27	ga_ls8c_ard_3-1-0_116077_2019-12-22_final
2019-12-22 11:58:51	ga_ls8c_ard_3-1-0_116078_2019-12-22_final
2020-01-16 11:52:34	ga_ls8c_ard_3-1-0_115078_2020-01-16_final
2020-01-16 11:52:58	ga_ls8c_ard_3-1-0_115079_2020-01-16_final
2020-01-16 11:53:22	ga_ls8c_ard_3-1-0_115080_2020-01-16_final
2020-02-01 11:52:29	ga_ls8c_ard_3-1-0_115078_2020-02-01_final
2020-02-01 11:52:53	ga_ls8c_ard_3-1-0_115079_2020-02-01_final
2020-02-01 11:53:17	ga_ls8c_ard_3-1-0_115080_2020-02-01_final
2020-10-05 11:57:19	ga_ls8c_ard_3-1-0_116074_2020-10-05_final
2020-10-05 11:57:43	ga_ls8c_ard_3-1-0_116075_2020-10-05_final
2020-10-05 11:58:06	ga_ls8c_ard_3-1-0_116076_2020-10-05_final
2020-10-05 11:58:30	ga_ls8c_ard_3-1-0_116077_2020-10-05_final
2020-10-05 11:58:54	ga_ls8c_ard_3-1-0_116078_2020-10-05_final
2020-10-21 11:57:19	ga_ls8c_ard_3-1-0_116074_2020-10-21_final
2020-10-21 11:57:43	ga_ls8c_ard_3-1-0_116075_2020-10-21_final
2020-10-21 11:58:07	ga_ls8c_ard_3-1-0_116076_2020-10-21_final
2020-10-21 11:58:31	ga_ls8c_ard_3-1-0_116077_2020-10-21_final
2020-10-21 11:58:55	ga_ls8c_ard_3-1-0_116078_2020-10-21_final
2020-10-30 11:52:20	ga_ls8c_ard_3-1-0_115077_2020-10-30_final
2020-10-30 11:52:43	ga_ls8c_ard_3-1-0_115078_2020-10-30_final
2020-10-30 11:53:07	ga_ls8c_ard_3-1-0_115079_2020-10-30_final
2020-10-30 11:53:31	ga_ls8c_ard_3-1-0_115080_2020-10-30_final
2020-12-01 11:52:21	ga_ls8c_ard_3-1-0_115077_2020-12-01_final
2020-12-01 11:52:45	ga_ls8c_ard_3-1-0_115078_2020-12-01_final
2020-12-01 11:53:09	ga_ls8c_ard_3-1-0_115079_2020-12-01_final
2020-12-01 11:53:33	ga_ls8c_ard_3-1-0_115080_2020-12-01_final
2020-12-08 11:57:20	ga_ls8c_ard_3-1-0_116074_2020-12-08_final
2020-12-08 11:57:44	ga_ls8c_ard_3-1-0_116075_2020-12-08_final
2020-12-08 11:58:08	ga_ls8c_ard_3-1-0_116076_2020-12-08_final
2020-12-08 11:58:32	ga_ls8c_ard_3-1-0_116077_2020-12-08_final
2020-12-08 11:58:56	ga_ls8c_ard_3-1-0_116078_2020-12-08_final
2021-02-10 11:57:05	ga_ls8c_ard_3-2-0_116074_2021-02-10_final
2021-02-10 11:57:29	ga_ls8c_ard_3-2-0_116075_2021-02-10_final
2021-02-10 11:57:53	ga_ls8c_ard_3-2-0_116076_2021-02-10_final
2021-02-10 11:58:17	ga_ls8c_ard_3-2-0_116077_2021-02-10_final
2021-02-10 11:58:41	ga_ls8c_ard_3-2-0_116078_2021-02-10_final
2021-02-26 11:57:00	ga_ls8c_ard_3-2-0_116074_2021-02-26_final
2021-02-26 11:57:24	ga_ls8c_ard_3-2-0_116075_2021-02-26_final
2021-02-26 11:57:48	ga_ls8c_ard_3-2-0_116076_2021-02-26_final
2021-02-26 11:58:12	ga_ls8c_ard_3-2-0_116077_2021-02-26_final
2021-02-26 11:58:35	ga_ls8c_ard_3-2-0_116078_2021-02-26_final
2021-03-14 11:56:51	ga_ls8c_ard_3-2-0_116074_2021-03-14_final
2021-03-14 11:57:15	ga_ls8c_ard_3-2-0_116075_2021-03-14_final
2021-03-14 11:57:39	ga_ls8c_ard_3-2-0_116076_2021-03-14_final
2021-03-14 11:58:03	ga_ls8c_ard_3-2-0_116077_2021-03-14_final
2021-03-14 11:58:27	ga_ls8c_ard_3-2-0_116078_2021-03-14_final
2021-03-30 11:56:46	ga_ls8c_ard_3-2-0_116074_2021-03-30_final
2021-03-30 11:57:10	ga_ls8c_ard_3-2-0_116075_2021-03-30_final
2021-03-30 11:57:34	ga_ls8c_ard_3-2-0_116076_2021-03-30_final
2021-03-30 11:57:58	ga_ls8c_ard_3-2-0_116077_2021-03-30_final
2021-03-30 11:58:22	ga_ls8c_ard_3-2-0_116078_2021-03-30_final
2021-08-05 11:57:04	ga_ls8c_ard_3-2-0_116074_2021-08-05_final
2021-08-05 11:57:28	ga_ls8c_ard_3-2-0_116075_2021-08-05_final
2021-08-05 11:57:52	ga_ls8c_ard_3-2-0_116076_2021-08-05_final
2021-08-05 11:58:16	ga_ls8c_ard_3-2-0_116077_2021-08-05_final
2021-08-05 11:58:40	ga_ls8c_ard_3-2-0_116078_2021-08-05_final
2021-10-24 11:57:25	ga_ls8c_ard_3-2-0_116074_2021-10-24_final
2021-10-24 11:57:49	ga_ls8c_ard_3-2-0_116075_2021-10-24_final
2021-10-24 11:58:13	ga_ls8c_ard_3-2-0_116076_2021-10-24_final
2021-10-24 11:58:37	ga_ls8c_ard_3-2-0_116077_2021-10-24_final
2021-10-24 11:59:01	ga_ls8c_ard_3-2-0_116078_2021-10-24_final
2022-05-20 11:57:20	ga_ls8c_ard_3-2-1_116075_2022-05-20_final
2022-05-20 11:57:44	ga_ls8c_ard_3-2-1_116076_2022-05-20_final
2022-05-20 11:58:08	ga_ls8c_ard_3-2-1_116077_2022-05-20_final
2022-05-20 11:58:32	ga_ls8c_ard_3-2-1_116078_2022-05-20_final
2022-05-29 11:51:57	ga_ls8c_ard_3-2-1_115077_2022-05-29_final
2022-05-29 11:52:21	ga_ls8c_ard_3-2-1_115078_2022-05-29_final
2022-05-29 11:52:45	ga_ls8c_ard_3-2-1_115079_2022-05-29_final
2022-05-29 11:53:09	ga_ls8c_ard_3-2-1_115080_2022-05-29_final
2022-06-05 11:57:26	ga_ls8c_ard_3-2-1_116075_2022-06-05_final
2022-06-05 11:57:50	ga_ls8c_ard_3-2-1_116076_2022-06-05_final
2022-06-05 11:58:14	ga_ls8c_ard_3-2-1_116077_2022-06-05_final
2022-06-05 11:58:38	ga_ls8c_ard_3-2-1_116078_2022-06-05_final
2022-06-07 11:47:30	ga_ls8c_ard_3-2-1_114081_2022-06-07_final
2022-06-21 11:57:36	ga_ls8c_ard_3-2-1_116075_2022-06-21_final
2022-06-21 11:58:00	ga_ls8c_ard_3-2-1_116076_2022-06-21_final
2022-06-21 11:58:24	ga_ls8c_ard_3-2-1_116077_2022-06-21_final
2022-06-21 11:58:48	ga_ls8c_ard_3-2-1_116078_2022-06-21_final
2022-07-25 11:47:46	ga_ls8c_ard_3-2-1_114081_2022-07-25_final
2022-08-01 11:52:26	ga_ls8c_ard_3-2-1_115077_2022-08-01_final
2022-08-01 11:52:50	ga_ls8c_ard_3-2-1_115078_2022-08-01_final
2022-08-01 11:53:14	ga_ls8c_ard_3-2-1_115079_2022-08-01_final
2022-08-01 11:53:37	ga_ls8c_ard_3-2-1_115080_2022-08-01_final
2022-11-05 11:52:39	ga_ls8c_ard_3-2-1_115077_2022-11-05_final
2022-11-05 11:53:03	ga_ls8c_ard_3-2-1_115078_2022-11-05_final
2022-11-05 11:53:27	ga_ls8c_ard_3-2-1_115079_2022-11-05_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