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
2013-08-22 08:50:38	ga_ls8c_ard_3-2-1_085082_2013-08-21_final
2013-10-25 08:50:21	ga_ls8c_ard_3-2-1_085082_2013-10-24_final
2013-11-26 08:50:12	ga_ls8c_ard_3-2-1_085082_2013-11-25_final
2013-12-12 08:50:10	ga_ls8c_ard_3-2-1_085082_2013-12-11_final
2013-12-28 08:50:01	ga_ls8c_ard_3-2-1_085082_2013-12-27_final
2014-09-10 08:48:44	ga_ls8c_ard_3-2-1_085082_2014-09-09_final
2014-10-12 08:48:48	ga_ls8c_ard_3-2-1_085082_2014-10-11_final
2014-10-28 08:48:46	ga_ls8c_ard_3-2-1_085082_2014-10-27_final
2014-11-29 08:48:47	ga_ls8c_ard_3-2-1_085082_2014-11-28_final
2014-12-15 08:48:42	ga_ls8c_ard_3-2-1_085082_2014-12-14_final
2014-12-31 08:48:37	ga_ls8c_ard_3-2-1_085082_2014-12-30_final
2015-09-29 08:48:36	ga_ls8c_ard_3-2-1_085082_2015-09-28_final
2015-10-15 08:48:36	ga_ls8c_ard_3-2-1_085082_2015-10-14_final
2015-10-31 08:48:42	ga_ls8c_ard_3-2-1_085082_2015-10-30_final
2015-11-16 08:48:43	ga_ls8c_ard_3-2-1_085082_2015-11-15_final
2015-12-02 08:48:44	ga_ls8c_ard_3-2-1_085082_2015-12-01_final
2015-12-18 08:48:44	ga_ls8c_ard_3-2-1_085082_2015-12-17_final
2016-10-01 08:48:50	ga_ls8c_ard_3-2-1_085082_2016-09-30_final
2016-10-17 08:48:56	ga_ls8c_ard_3-2-1_085082_2016-10-16_final
2016-11-02 08:48:56	ga_ls8c_ard_3-2-1_085082_2016-11-01_final
2016-11-18 08:48:56	ga_ls8c_ard_3-2-1_085082_2016-11-17_final
2016-12-20 08:48:50	ga_ls8c_ard_3-2-1_085082_2016-12-19_final
2017-09-18 08:48:44	ga_ls8c_ard_3-2-1_085082_2017-09-17_final
2017-10-04 08:48:50	ga_ls8c_ard_3-2-1_085082_2017-10-03_final
2018-11-24 08:48:31	ga_ls8c_ard_3-2-1_085082_2018-11-23_final
2018-12-10 08:48:28	ga_ls8c_ard_3-2-1_085082_2018-12-09_final
2019-10-10 08:48:58	ga_ls8c_ard_3-2-1_085082_2019-10-09_final
2019-10-26 08:48:59	ga_ls8c_ard_3-2-1_085082_2019-10-25_final
2019-11-11 08:48:57	ga_ls8c_ard_3-2-1_085082_2019-11-10_final
2019-11-27 08:48:55	ga_ls8c_ard_3-2-1_085082_2019-11-26_final
2019-12-13 08:48:54	ga_ls8c_ard_3-2-1_085082_2019-12-12_final
2019-12-29 08:48:50	ga_ls8c_ard_3-2-1_085082_2019-12-28_final
2020-01-14 08:48:46	ga_ls8c_ard_3-2-1_085082_2020-01-13_final
2020-01-30 08:48:42	ga_ls8c_ard_3-2-1_085082_2020-01-29_final
2020-02-15 08:48:37	ga_ls8c_ard_3-2-1_085082_2020-02-14_final
2020-03-02 08:48:33	ga_ls8c_ard_3-2-1_085082_2020-03-01_final
2020-06-22 08:48:18	ga_ls8c_ard_3-2-1_085082_2020-06-21_final
2020-08-09 08:48:34	ga_ls8c_ard_3-2-1_085082_2020-08-08_final
2020-08-25 08:48:41	ga_ls8c_ard_3-2-1_085082_2020-08-24_final
2020-09-10 08:48:48	ga_ls8c_ard_3-2-1_085082_2020-09-09_final
2020-09-26 08:48:53	ga_ls8c_ard_3-2-1_085082_2020-09-25_final
2020-10-28 08:48:55	ga_ls8c_ard_3-2-1_085082_2020-10-27_final
2020-11-29 08:48:56	ga_ls8c_ard_3-2-1_085082_2020-11-28_final
2020-12-15 08:48:56	ga_ls8c_ard_3-2-1_085082_2020-12-14_final
2020-12-31 08:48:53	ga_ls8c_ard_3-2-1_085082_2020-12-30_final
2021-02-01 08:48:43	ga_ls8c_ard_3-2-1_085082_2021-01-31_final
2021-02-17 08:48:40	ga_ls8c_ard_3-2-1_085082_2021-02-16_final
2021-03-05 08:48:33	ga_ls8c_ard_3-2-1_085082_2021-03-04_final
2021-06-09 08:48:24	ga_ls8c_ard_3-2-1_085082_2021-06-08_final
2021-06-25 08:48:28	ga_ls8c_ard_3-2-1_085082_2021-06-24_final
2021-07-11 08:48:30	ga_ls8c_ard_3-2-1_085082_2021-07-10_final
2021-07-27 08:48:36	ga_ls8c_ard_3-2-1_085082_2021-07-26_final
2021-08-12 08:48:43	ga_ls8c_ard_3-2-1_085082_2021-08-11_final
2021-08-28 08:48:48	ga_ls8c_ard_3-2-1_085082_2021-08-27_final
2021-09-13 08:48:52	ga_ls8c_ard_3-2-1_085082_2021-09-12_final
2021-09-29 08:48:56	ga_ls8c_ard_3-2-1_085082_2021-09-28_final
2021-11-16 08:48:56	ga_ls8c_ard_3-2-1_085082_2021-11-15_final
2021-12-02 08:48:57	ga_ls8c_ard_3-2-1_085082_2021-12-01_final
2021-12-18 08:48:56	ga_ls8c_ard_3-2-1_085082_2021-12-17_final
2022-01-03 08:48:50	ga_ls8c_ard_3-2-1_085082_2022-01-02_final
2022-01-19 08:48:48	ga_ls8c_ard_3-2-1_085082_2022-01-18_final
2022-02-04 08:48:44	ga_ls8c_ard_3-2-1_085082_2022-02-03_final
2022-02-20 08:48:37	ga_ls8c_ard_3-2-1_085082_2022-02-19_final
2022-06-12 08:48:44	ga_ls8c_ard_3-2-1_085082_2022-06-11_final
2022-06-28 08:48:50	ga_ls8c_ard_3-2-1_085082_2022-06-27_final
2022-07-14 08:48:49	ga_ls8c_ard_3-2-1_085082_2022-07-13_final
2022-07-30 08:49:00	ga_ls8c_ard_3-2-1_085082_2022-07-29_final
2022-08-15 08:49:07	ga_ls8c_ard_3-2-1_085082_2022-08-14_final
2022-08-31 08:49:07	ga_ls8c_ard_3-2-1_085082_2022-08-30_final
2022-09-16 08:49:14	ga_ls8c_ard_3-2-1_085082_2022-09-15_final
2022-10-18 08:49:08	ga_ls8c_ard_3-2-1_085082_2022-10-17_final
2022-11-03 08:49:14	ga_ls8c_ard_3-2-1_085082_2022-11-02_final
2022-11-19 08:49:07	ga_ls8c_ard_3-2-1_085082_2022-11-18_final
2022-12-05 08:49:09	ga_ls8c_ard_3-2-1_085082_2022-12-04_final
2022-12-21 08:49:00	ga_ls8c_ard_3-2-1_085082_2022-12-20_final
2023-01-06 08:49:00	ga_ls8c_ard_3-2-1_085082_2023-01-05_final
2023-01-22 08:48:56	ga_ls8c_ard_3-2-1_085082_2023-01-21_final
2023-02-07 08:48:57	ga_ls8c_ard_3-2-1_085082_2023-02-06_final
2023-02-23 08:48:42	ga_ls8c_ard_3-2-1_085082_2023-02-22_final
2023-03-11 08:48:34	ga_ls8c_ard_3-2-1_085082_2023-03-10_final
2023-05-14 08:47:53	ga_ls8c_ard_3-2-1_085082_2023-05-13_final
2023-05-30 08:47:54	ga_ls8c_ard_3-2-1_085082_2023-05-29_final
2023-06-15 08:48:03	ga_ls8c_ard_3-2-1_085082_2023-06-14_final
2023-07-01 08:48:12	ga_ls8c_ard_3-2-1_085082_2023-06-30_final
2023-07-17 08:48:18	ga_ls8c_ard_3-2-1_085082_2023-07-16_final
2023-08-02 08:48:26	ga_ls8c_ard_3-2-1_085082_2023-08-01_final
2023-08-18 08:48:33	ga_ls8c_ard_3-2-1_085082_2023-08-17_final
2023-09-03 08:48:35	ga_ls8c_ard_3-2-1_085082_2023-09-02_final
2023-09-19 08:48:40	ga_ls8c_ard_3-2-1_085082_2023-09-18_final
2023-10-05 08:48:42	ga_ls8c_ard_3-2-1_085082_2023-10-04_final
2023-11-06 08:48:47	ga_ls8c_ard_3-2-1_085082_2023-11-05_final
2023-11-22 08:48:50	ga_ls8c_ard_3-2-1_085082_2023-11-21_final
2023-12-08 08:48:41	ga_ls8c_ard_3-2-1_085082_2023-12-07_final
2023-12-24 08:48:48	ga_ls8c_ard_3-2-1_085082_2023-12-23_final
2024-01-09 08:48:42	ga_ls8c_ard_3-2-1_085082_2024-01-08_final
2024-01-25 08:48:37	ga_ls8c_ard_3-2-1_085082_2024-01-24_final
2024-02-10 08:48:42	ga_ls8c_ard_3-2-1_085082_2024-02-09_final
2024-02-26 08:48:37	ga_ls8c_ard_3-2-1_085082_2024-02-25_final
2024-03-13 08:48:26	ga_ls8c_ard_3-2-1_085082_2024-03-12_final
2024-03-29 08:48:11	ga_ls8c_ard_3-2-1_085082_2024-03-28_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