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
2015-09-10 09:54:52	ga_ls8c_ard_3-0-0_096078_2015-09-10_final
2015-10-12 09:54:59	ga_ls8c_ard_3-0-0_096078_2015-10-12_final
2015-10-28 09:55:05	ga_ls8c_ard_3-0-0_096078_2015-10-28_final
2015-11-13 09:55:04	ga_ls8c_ard_3-0-0_096078_2015-11-13_final
2015-11-29 09:55:08	ga_ls8c_ard_3-0-0_096078_2015-11-29_final
2015-12-15 09:55:06	ga_ls8c_ard_3-0-0_096078_2015-12-15_final
2015-12-31 09:55:05	ga_ls8c_ard_3-0-0_096078_2015-12-31_final
2016-01-16 09:55:04	ga_ls8c_ard_3-0-0_096078_2016-01-16_final
2016-02-01 09:55:02	ga_ls8c_ard_3-0-0_096078_2016-02-01_final
2016-02-17 09:54:53	ga_ls8c_ard_3-0-0_096078_2016-02-17_final
2016-03-04 09:54:52	ga_ls8c_ard_3-0-0_096078_2016-03-04_final
2016-03-20 09:54:46	ga_ls8c_ard_3-0-0_096078_2016-03-20_final
2016-04-05 09:54:37	ga_ls8c_ard_3-0-0_096078_2016-04-05_final
2016-04-21 09:54:31	ga_ls8c_ard_3-0-0_096078_2016-04-21_final
2016-05-07 09:54:34	ga_ls8c_ard_3-0-0_096078_2016-05-07_final
2016-05-23 09:54:35	ga_ls8c_ard_3-0-0_096078_2016-05-23_final
2016-06-08 09:54:40	ga_ls8c_ard_3-0-0_096078_2016-06-08_final
2016-06-24 09:54:45	ga_ls8c_ard_3-0-0_096078_2016-06-24_final
2016-07-10 09:54:54	ga_ls8c_ard_3-0-0_096078_2016-07-10_final
2016-07-26 09:54:59	ga_ls8c_ard_3-0-0_096078_2016-07-26_final
2016-08-11 09:55:00	ga_ls8c_ard_3-0-0_096078_2016-08-11_final
2016-09-12 09:55:12	ga_ls8c_ard_3-0-0_096078_2016-09-12_final
2016-09-28 09:55:12	ga_ls8c_ard_3-0-0_096078_2016-09-28_final
2016-10-14 09:55:18	ga_ls8c_ard_3-0-0_096078_2016-10-14_final
2016-12-01 09:55:18	ga_ls8c_ard_3-0-0_096078_2016-12-01_final
2016-12-17 09:55:14	ga_ls8c_ard_3-0-0_096078_2016-12-17_final
2017-01-02 09:55:11	ga_ls8c_ard_3-0-0_096078_2017-01-02_final
2017-01-18 09:55:07	ga_ls8c_ard_3-0-0_096078_2017-01-18_final
2017-02-19 09:54:54	ga_ls8c_ard_3-0-0_096078_2017-02-19_final
2017-03-23 09:54:37	ga_ls8c_ard_3-0-0_096078_2017-03-23_final
2017-04-24 09:54:20	ga_ls8c_ard_3-0-0_096078_2017-04-24_final
2017-05-10 09:54:21	ga_ls8c_ard_3-0-0_096078_2017-05-10_final
2017-05-26 09:54:32	ga_ls8c_ard_3-0-0_096078_2017-05-26_final
2017-06-11 09:54:39	ga_ls8c_ard_3-0-0_096078_2017-06-11_final
2017-06-27 09:54:44	ga_ls8c_ard_3-0-0_096078_2017-06-27_final
2017-07-13 09:54:47	ga_ls8c_ard_3-0-0_096078_2017-07-13_final
2017-07-29 09:54:55	ga_ls8c_ard_3-0-0_096078_2017-07-29_final
2017-08-14 09:55:01	ga_ls8c_ard_3-0-0_096078_2017-08-14_final
2017-08-30 09:55:05	ga_ls8c_ard_3-0-0_096078_2017-08-30_final
2017-12-04 09:55:07	ga_ls8c_ard_3-0-0_096078_2017-12-04_final
2018-08-01 09:54:16	ga_ls8c_ard_3-0-0_096078_2018-08-01_final
2018-09-18 09:54:37	ga_ls8c_ard_3-0-0_096078_2018-09-18_final
2018-12-23 09:54:51	ga_ls8c_ard_3-0-0_096078_2018-12-23_final
2019-03-29 09:54:32	ga_ls8c_ard_3-1-0_096078_2019-03-29_final
2019-04-14 09:54:27	ga_ls8c_ard_3-1-0_096078_2019-04-14_final
2019-08-20 09:55:08	ga_ls8c_ard_3-1-0_096078_2019-08-20_final
2020-08-22 09:55:03	ga_ls8c_ard_3-1-0_096078_2020-08-22_final
2020-11-10 09:55:16	ga_ls8c_ard_3-1-0_096078_2020-11-10_final
2020-12-28 09:55:17	ga_ls8c_ard_3-2-0_096078_2020-12-28_final
2021-01-13 09:55:10	ga_ls8c_ard_3-2-0_096078_2021-01-13_final
2021-01-29 09:55:07	ga_ls8c_ard_3-2-0_096078_2021-01-29_final
2021-02-14 09:55:04	ga_ls8c_ard_3-2-0_096078_2021-02-14_final
2021-03-02 09:54:57	ga_ls8c_ard_3-2-0_096078_2021-03-02_final
2021-03-18 09:54:48	ga_ls8c_ard_3-2-0_096078_2021-03-18_final
2021-04-03 09:54:45	ga_ls8c_ard_3-2-0_096078_2021-04-03_final
2021-04-19 09:54:38	ga_ls8c_ard_3-2-0_096078_2021-04-19_final
2021-05-05 09:54:29	ga_ls8c_ard_3-2-0_096078_2021-05-05_final
2021-05-21 09:54:37	ga_ls8c_ard_3-2-0_096078_2021-05-21_final
2021-06-06 09:54:45	ga_ls8c_ard_3-2-0_096078_2021-06-06_final
2021-06-22 09:54:51	ga_ls8c_ard_3-2-0_096078_2021-06-22_final
2021-07-08 09:54:53	ga_ls8c_ard_3-2-0_096078_2021-07-08_final
2021-07-24 09:54:58	ga_ls8c_ard_3-2-0_096078_2021-07-24_final
2021-08-09 09:55:05	ga_ls8c_ard_3-2-0_096078_2021-08-09_final
2021-08-25 09:55:10	ga_ls8c_ard_3-2-0_096078_2021-08-25_final
2021-09-10 09:55:15	ga_ls8c_ard_3-2-0_096078_2021-09-10_final
2021-09-26 09:55:18	ga_ls8c_ard_3-2-0_096078_2021-09-26_final
2021-10-12 09:55:23	ga_ls8c_ard_3-2-0_096078_2021-10-12_final
2021-10-28 09:55:25	ga_ls8c_ard_3-2-0_096078_2021-10-28_final
2021-11-13 09:55:21	ga_ls8c_ard_3-2-0_096078_2021-11-13_final
2021-11-29 09:55:20	ga_ls8c_ard_3-2-0_096078_2021-11-29_final
2021-12-15 09:55:19	ga_ls8c_ard_3-2-1_096078_2021-12-15_final
2021-12-31 09:55:13	ga_ls8c_ard_3-2-1_096078_2021-12-31_final
2022-01-16 09:55:12	ga_ls8c_ard_3-2-1_096078_2022-01-16_final
2022-02-01 09:55:07	ga_ls8c_ard_3-2-1_096078_2022-02-01_final
2022-02-17 09:55:02	ga_ls8c_ard_3-2-1_096078_2022-02-17_final
2022-03-05 09:54:59	ga_ls8c_ard_3-2-1_096078_2022-03-05_final
2022-03-21 09:54:51	ga_ls8c_ard_3-2-1_096078_2022-03-21_final
2022-04-06 09:54:45	ga_ls8c_ard_3-2-1_096078_2022-04-06_final
2022-04-22 09:54:47	ga_ls8c_ard_3-2-1_096078_2022-04-22_final
2022-05-08 09:54:51	ga_ls8c_ard_3-2-1_096078_2022-05-08_final
2022-05-24 09:54:55	ga_ls8c_ard_3-2-1_096078_2022-05-24_final
2022-06-09 09:55:05	ga_ls8c_ard_3-2-1_096078_2022-06-09_final
2022-06-25 09:55:13	ga_ls8c_ard_3-2-1_096078_2022-06-25_final
2022-07-11 09:55:13	ga_ls8c_ard_3-2-1_096078_2022-07-11_final
2022-07-27 09:55:21	ga_ls8c_ard_3-2-1_096078_2022-07-27_final
2022-08-12 09:55:29	ga_ls8c_ard_3-2-1_096078_2022-08-12_final
2022-08-28 09:55:31	ga_ls8c_ard_3-2-1_096078_2022-08-28_final
2022-09-13 09:55:36	ga_ls8c_ard_3-2-1_096078_2022-09-13_final
2022-09-29 09:55:37	ga_ls8c_ard_3-2-1_096078_2022-09-29_final
2022-10-15 09:55:29	ga_ls8c_ard_3-2-1_096078_2022-10-15_final
2022-10-31 09:55:37	ga_ls8c_ard_3-2-1_096078_2022-10-31_final
2022-11-16 09:55:31	ga_ls8c_ard_3-2-1_096078_2022-11-16_final
2022-12-02 09:55:32	ga_ls8c_ard_3-2-1_096078_2022-12-02_final
2022-12-18 09:55:25	ga_ls8c_ard_3-2-1_096078_2022-12-18_final
2023-01-03 09:55:24	ga_ls8c_ard_3-2-1_096078_2023-01-03_final
2023-01-19 09:55:16	ga_ls8c_ard_3-2-1_096078_2023-01-19_final
2023-02-20 09:55:09	ga_ls8c_ard_3-2-1_096078_2023-02-20_final
2023-03-08 09:54:58	ga_ls8c_ard_3-2-1_096078_2023-03-08_final
2023-04-09 09:54:35	ga_ls8c_ard_3-2-1_096078_2023-04-09_final
2023-04-25 09:54:30	ga_ls8c_ard_3-2-1_096078_2023-04-25_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