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
2018-12-16 09:52:16	ga_ls8c_ard_3-0-0_095087_2018-12-16_final
2019-04-23 09:51:48	ga_ls8c_ard_3-0-0_095087_2019-04-23_final
2019-07-28 09:52:25	ga_ls8c_ard_3-1-0_095087_2019-07-28_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-11-17 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-11-17_final
2019-12-03 09:52:42	ga_ls8c_ard_3-1-0_095087_2019-12-03_final
2019-12-19 09:52:40	ga_ls8c_ard_3-2-0_095087_2019-12-19_final
2020-01-04 09:52:36	ga_ls8c_ard_3-1-0_095087_2020-01-04_final
2020-01-20 09:52:33	ga_ls8c_ard_3-1-0_095087_2020-01-20_final
2020-02-05 09:52:27	ga_ls8c_ard_3-1-0_095087_2020-02-05_final
2020-02-21 09:52:24	ga_ls8c_ard_3-1-0_095087_2020-02-21_final
2020-03-08 09:52:18	ga_ls8c_ard_3-1-0_095087_2020-03-08_final
2020-03-24 09:52:10	ga_ls8c_ard_3-1-0_095087_2020-03-24_final
2020-04-09 09:52:02	ga_ls8c_ard_3-1-0_095087_2020-04-09_final
2020-04-25 09:51:55	ga_ls8c_ard_3-1-0_095087_2020-04-25_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_final
2020-05-27 09:51:51	ga_ls8c_ard_3-1-0_095087_2020-05-27_final
2020-06-12 09:52:00	ga_ls8c_ard_3-1-0_095087_2020-06-12_final
2020-06-28 09:52:09	ga_ls8c_ard_3-1-0_095087_2020-06-28_final
2020-07-14 09:52:15	ga_ls8c_ard_3-1-0_095087_2020-07-14_final
2020-07-30 09:52:20	ga_ls8c_ard_3-1-0_095087_2020-07-30_final
2020-08-15 09:52:24	ga_ls8c_ard_3-1-0_095087_2020-08-15_final
2020-08-31 09:52:32	ga_ls8c_ard_3-1-0_095087_2020-08-31_final
2020-09-16 09:52:38	ga_ls8c_ard_3-1-0_095087_2020-09-16_final
2020-10-02 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-10-02_final
2020-10-18 09:52:44	ga_ls8c_ard_3-1-0_095087_2020-10-18_final
2020-11-19 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-11-19_final
2020-12-05 09:52:45	ga_ls8c_ard_3-1-0_095087_2020-12-05_final
2020-12-21 09:52:43	ga_ls8c_ard_3-2-0_095087_2020-12-21_final
2021-01-06 09:52:38	ga_ls8c_ard_3-2-0_095087_2021-01-06_final
2021-01-22 09:52:32	ga_ls8c_ard_3-2-0_095087_2021-01-22_final
2021-02-07 09:52:30	ga_ls8c_ard_3-2-0_095087_2021-02-07_final
2021-02-23 09:52:25	ga_ls8c_ard_3-2-0_095087_2021-02-23_final
2021-03-11 09:52:17	ga_ls8c_ard_3-2-0_095087_2021-03-11_final
2021-03-27 09:52:11	ga_ls8c_ard_3-2-0_095087_2021-03-27_final
2021-04-12 09:52:06	ga_ls8c_ard_3-2-0_095087_2021-04-12_final
2021-04-28 09:51:58	ga_ls8c_ard_3-2-0_095087_2021-04-28_final
2021-05-14 09:51:58	ga_ls8c_ard_3-2-0_095087_2021-05-14_final
2021-05-30 09:52:07	ga_ls8c_ard_3-2-0_095087_2021-05-30_final
2021-06-15 09:52:13	ga_ls8c_ard_3-2-0_095087_2021-06-15_final
2021-07-01 09:52:17	ga_ls8c_ard_3-2-0_095087_2021-07-01_final
2021-07-17 09:52:19	ga_ls8c_ard_3-2-0_095087_2021-07-17_final
2021-08-02 09:52:27	ga_ls8c_ard_3-2-0_095087_2021-08-02_final
2021-08-18 09:52:33	ga_ls8c_ard_3-2-0_095087_2021-08-18_final
2021-09-03 09:52:38	ga_ls8c_ard_3-2-0_095087_2021-09-03_final
2021-09-19 09:52:41	ga_ls8c_ard_3-2-0_095087_2021-09-19_final
2021-10-05 09:52:46	ga_ls8c_ard_3-2-0_095087_2021-10-05_final
2021-10-21 09:52:49	ga_ls8c_ard_3-2-0_095087_2021-10-21_final
2021-11-22 09:52:44	ga_ls8c_ard_3-2-0_095087_2021-11-22_final
2021-12-08 09:52:45	ga_ls8c_ard_3-2-1_095087_2021-12-08_final
2021-12-24 09:52:41	ga_ls8c_ard_3-2-1_095087_2021-12-24_final
2022-01-09 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-01-09_final
2022-01-25 09:52:33	ga_ls8c_ard_3-2-1_095087_2022-01-25_final
2022-02-10 09:52:30	ga_ls8c_ard_3-2-1_095087_2022-02-10_final
2022-02-26 09:52:25	ga_ls8c_ard_3-2-1_095087_2022-02-26_final
2022-03-14 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-03-14_final
2022-03-30 09:52:08	ga_ls8c_ard_3-2-1_095087_2022-03-30_final
2022-04-15 09:52:14	ga_ls8c_ard_3-2-1_095087_2022-04-15_final
2022-05-01 09:52:10	ga_ls8c_ard_3-2-1_095087_2022-05-01_final
2022-05-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-05-17_final
2022-06-02 09:52:24	ga_ls8c_ard_3-2-1_095087_2022-06-02_final
2022-06-18 09:52:35	ga_ls8c_ard_3-2-1_095087_2022-06-18_final
2022-07-04 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-07-04_final
2022-07-20 09:52:40	ga_ls8c_ard_3-2-1_095087_2022-07-20_final
2022-08-05 09:52:51	ga_ls8c_ard_3-2-1_095087_2022-08-05_final
2022-08-21 09:52:56	ga_ls8c_ard_3-2-1_095087_2022-08-21_final
2022-09-06 09:52:57	ga_ls8c_ard_3-2-1_095087_2022-09-06_final
2022-09-22 09:53:02	ga_ls8c_ard_3-2-1_095087_2022-09-22_final
2022-10-08 09:52:58	ga_ls8c_ard_3-2-1_095087_2022-10-08_final
2022-10-24 09:53:00	ga_ls8c_ard_3-2-1_095087_2022-10-24_final
2022-11-09 09:53:00	ga_ls8c_ard_3-2-1_095087_2022-11-09_final
2022-11-25 09:52:56	ga_ls8c_ard_3-2-1_095087_2022-11-25_final
2022-12-11 09:52:55	ga_ls8c_ard_3-2-1_095087_2022-12-11_final
2022-12-27 09:52:48	ga_ls8c_ard_3-2-1_095087_2022-12-27_final
2023-01-12 09:52:45	ga_ls8c_ard_3-2-1_095087_2023-01-12_final
2023-02-13 09:52:41	ga_ls8c_ard_3-2-1_095087_2023-02-13_final
2023-03-01 09:52:27	ga_ls8c_ard_3-2-1_095087_2023-03-01_final
2023-03-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2023-03-17_final
2023-04-02 09:52:09	ga_ls8c_ard_3-2-1_095087_2023-04-02_final
2023-04-18 09:51:55	ga_ls8c_ard_3-2-1_095087_2023-04-18_final
2023-05-04 09:51:50	ga_ls8c_ard_3-2-1_095087_2023-05-04_final
2023-05-20 09:51:40	ga_ls8c_ard_3-2-1_095087_2023-05-20_final
2023-06-05 09:51:45	ga_ls8c_ard_3-2-1_095087_2023-06-05_final
2023-06-21 09:51:51	ga_ls8c_ard_3-2-1_095087_2023-06-21_final
2023-07-07 09:52:04	ga_ls8c_ard_3-2-1_095087_2023-07-07_final
2023-07-23 09:52:07	ga_ls8c_ard_3-2-1_095087_2023-07-23_final
2023-08-08 09:52:15	ga_ls8c_ard_3-2-1_095087_2023-08-08_final
2023-08-24 09:52:23	ga_ls8c_ard_3-2-1_095087_2023-08-24_final
2023-09-09 09:52:23	ga_ls8c_ard_3-2-1_095087_2023-09-09_final
2023-09-25 09:52:29	ga_ls8c_ard_3-2-1_095087_2023-09-25_final
2023-10-11 09:52:33	ga_ls8c_ard_3-2-1_095087_2023-10-11_final
2023-10-27 09:52:36	ga_ls8c_ard_3-2-1_095087_2023-10-27_final
2023-11-12 09:52:32	ga_ls8c_ard_3-2-1_095087_2023-11-12_final
2023-11-28 09:52:37	ga_ls8c_ard_3-2-1_095087_2023-11-28_final
2023-12-14 09:52:34	ga_ls8c_ard_3-2-1_095087_2023-12-14_final
2023-12-30 09:52:33	ga_ls8c_ard_3-2-1_095087_2023-12-30_final
2024-01-15 09:52:31	ga_ls8c_ard_3-2-1_095087_2024-01-15_final
2024-01-31 09:52:26	ga_ls8c_ard_3-2-1_095087_2024-01-31_final
2024-02-16 09:52:27	ga_ls8c_ard_3-2-1_095087_2024-02-16_final
2024-03-03 09:52:20	ga_ls8c_ard_3-2-1_095087_2024-03-03_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