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
2018-05-04 09:59:06	ga_ls8c_ard_3-0-0_097075_2018-05-04_final
2018-06-21 09:58:55	ga_ls8c_ard_3-0-0_097075_2018-06-21_final
2018-07-07 09:59:04	ga_ls8c_ard_3-0-0_097075_2018-07-07_final
2018-08-08 09:59:20	ga_ls8c_ard_3-0-0_097075_2018-08-08_final
2018-08-24 09:59:28	ga_ls8c_ard_3-0-0_097075_2018-08-24_final
2018-10-27 09:59:51	ga_ls8c_ard_3-0-0_097075_2018-10-27_final
2018-11-28 09:59:53	ga_ls8c_ard_3-0-0_097075_2018-11-28_final
2018-12-30 09:59:50	ga_ls8c_ard_3-0-0_097075_2018-12-30_final
2019-01-15 09:59:48	ga_ls8c_ard_3-0-0_097075_2019-01-15_final
2019-01-31 09:59:44	ga_ls8c_ard_3-0-0_097075_2019-01-31_final
2019-03-20 09:59:33	ga_ls8c_ard_3-1-0_097075_2019-03-20_final
2019-04-05 09:59:29	ga_ls8c_ard_3-1-0_097075_2019-04-05_final
2019-05-07 09:59:26	ga_ls8c_ard_3-0-0_097075_2019-05-07_final
2019-07-10 09:59:54	ga_ls8c_ard_3-1-0_097075_2019-07-10_final
2019-08-27 10:00:09	ga_ls8c_ard_3-1-0_097075_2019-08-27_final
2019-09-12 10:00:13	ga_ls8c_ard_3-1-0_097075_2019-09-12_final
2019-10-14 10:00:21	ga_ls8c_ard_3-1-0_097075_2019-10-14_final
2019-11-15 10:00:18	ga_ls8c_ard_3-1-0_097075_2019-11-15_final
2019-12-17 10:00:15	ga_ls8c_ard_3-2-0_097075_2019-12-17_final
2020-01-02 10:00:10	ga_ls8c_ard_3-1-0_097075_2020-01-02_final
2020-01-18 10:00:07	ga_ls8c_ard_3-1-0_097075_2020-01-18_final
2020-02-19 09:59:59	ga_ls8c_ard_3-1-0_097075_2020-02-19_final
2020-03-06 09:59:53	ga_ls8c_ard_3-1-0_097075_2020-03-06_final
2020-04-23 09:59:30	ga_ls8c_ard_3-1-0_097075_2020-04-23_final
2020-05-09 09:59:21	ga_ls8c_ard_3-1-0_097075_2020-05-09_final
2020-05-25 09:59:25	ga_ls8c_ard_3-1-0_097075_2020-05-25_final
2020-06-10 09:59:33	ga_ls8c_ard_3-1-0_097075_2020-06-10_final
2020-06-26 09:59:42	ga_ls8c_ard_3-1-0_097075_2020-06-26_final
2020-07-12 09:59:49	ga_ls8c_ard_3-1-0_097075_2020-07-12_final
2020-07-28 09:59:54	ga_ls8c_ard_3-1-0_097075_2020-07-28_final
2020-08-13 09:59:57	ga_ls8c_ard_3-1-0_097075_2020-08-13_final
2020-08-29 10:00:06	ga_ls8c_ard_3-1-0_097075_2020-08-29_final
2020-09-14 10:00:12	ga_ls8c_ard_3-1-0_097075_2020-09-14_final
2020-09-30 10:00:16	ga_ls8c_ard_3-1-0_097075_2020-09-30_final
2020-10-16 10:00:18	ga_ls8c_ard_3-1-0_097075_2020-10-16_final
2020-11-01 10:00:17	ga_ls8c_ard_3-1-0_097075_2020-11-01_final
2020-11-17 10:00:15	ga_ls8c_ard_3-1-0_097075_2020-11-17_final
2020-12-03 10:00:19	ga_ls8c_ard_3-1-0_097075_2020-12-03_final
2020-12-19 10:00:18	ga_ls8c_ard_3-2-0_097075_2020-12-19_final
2021-01-04 10:00:13	ga_ls8c_ard_3-2-0_097075_2021-01-04_final
2021-01-20 10:00:06	ga_ls8c_ard_3-2-0_097075_2021-01-20_final
2021-02-05 10:00:05	ga_ls8c_ard_3-2-0_097075_2021-02-05_final
2021-02-21 10:00:00	ga_ls8c_ard_3-2-0_097075_2021-02-21_final
2021-03-09 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-03-09_final
2021-03-25 09:59:46	ga_ls8c_ard_3-2-0_097075_2021-03-25_final
2021-04-10 09:59:41	ga_ls8c_ard_3-2-0_097075_2021-04-10_final
2021-04-26 09:59:33	ga_ls8c_ard_3-2-0_097075_2021-04-26_final
2021-05-12 09:59:31	ga_ls8c_ard_3-2-0_097075_2021-05-12_final
2021-05-28 09:59:40	ga_ls8c_ard_3-2-0_097075_2021-05-28_final
2021-06-13 09:59:47	ga_ls8c_ard_3-2-0_097075_2021-06-13_final
2021-06-29 09:59:51	ga_ls8c_ard_3-2-0_097075_2021-06-29_final
2021-07-15 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-07-15_final
2021-07-31 10:00:01	ga_ls8c_ard_3-2-0_097075_2021-07-31_final
2021-08-16 10:00:07	ga_ls8c_ard_3-2-0_097075_2021-08-16_final
2021-09-01 10:00:11	ga_ls8c_ard_3-2-0_097075_2021-09-01_final
2021-09-17 10:00:15	ga_ls8c_ard_3-2-0_097075_2021-09-17_final
2021-10-03 10:00:20	ga_ls8c_ard_3-2-0_097075_2021-10-03_final
2021-10-19 10:00:23	ga_ls8c_ard_3-2-0_097075_2021-10-19_final
2021-11-04 10:00:23	ga_ls8c_ard_3-2-0_097075_2021-11-04_final
2021-11-20 10:00:18	ga_ls8c_ard_3-2-0_097075_2021-11-20_final
2021-12-06 10:00:19	ga_ls8c_ard_3-2-1_097075_2021-12-06_final
2021-12-22 10:00:17	ga_ls8c_ard_3-2-1_097075_2021-12-22_final
2022-01-07 10:00:12	ga_ls8c_ard_3-2-1_097075_2022-01-07_final
2022-01-23 10:00:08	ga_ls8c_ard_3-2-1_097075_2022-01-23_final
2022-02-08 10:00:05	ga_ls8c_ard_3-2-1_097075_2022-02-08_final
2022-02-24 09:59:59	ga_ls8c_ard_3-2-1_097075_2022-02-24_final
2022-03-12 09:59:55	ga_ls8c_ard_3-2-1_097075_2022-03-12_final
2022-03-28 09:59:43	ga_ls8c_ard_3-2-1_097075_2022-03-28_final
2022-04-13 09:59:48	ga_ls8c_ard_3-2-1_097075_2022-04-13_final
2022-04-29 09:59:43	ga_ls8c_ard_3-2-1_097075_2022-04-29_final
2022-05-15 09:59:53	ga_ls8c_ard_3-2-1_097075_2022-05-15_final
2022-05-31 09:59:56	ga_ls8c_ard_3-2-1_097075_2022-05-31_final
2022-06-16 10:00:08	ga_ls8c_ard_3-2-1_097075_2022-06-16_final
2022-07-02 10:00:12	ga_ls8c_ard_3-2-1_097075_2022-07-02_final
2022-07-18 10:00:13	ga_ls8c_ard_3-2-1_097075_2022-07-18_final
2022-08-03 10:00:24	ga_ls8c_ard_3-2-1_097075_2022-08-03_final
2022-08-19 10:00:30	ga_ls8c_ard_3-2-1_097075_2022-08-19_final
2022-09-04 10:00:30	ga_ls8c_ard_3-2-1_097075_2022-09-04_final
2022-09-20 10:00:36	ga_ls8c_ard_3-2-1_097075_2022-09-20_final
2022-10-06 10:00:34	ga_ls8c_ard_3-2-1_097075_2022-10-06_final
2022-10-22 10:00:33	ga_ls8c_ard_3-2-1_097075_2022-10-22_final
2022-11-07 10:00:35	ga_ls8c_ard_3-2-1_097075_2022-11-07_final
2022-11-23 10:00:30	ga_ls8c_ard_3-2-1_097075_2022-11-23_final
2022-12-09 10:00:30	ga_ls8c_ard_3-2-1_097075_2022-12-09_final
2022-12-25 10:00:21	ga_ls8c_ard_3-2-1_097075_2022-12-25_final
2023-01-10 10:00:21	ga_ls8c_ard_3-2-1_097075_2023-01-10_final
2023-01-26 10:00:20	ga_ls8c_ard_3-2-1_097075_2023-01-26_final
2023-02-11 10:00:17	ga_ls8c_ard_3-2-1_097075_2023-02-11_final
2023-02-27 10:00:01	ga_ls8c_ard_3-2-1_097075_2023-02-27_final
2023-03-15 09:59:55	ga_ls8c_ard_3-2-1_097075_2023-03-15_final
2023-03-31 09:59:45	ga_ls8c_ard_3-2-1_097075_2023-03-31_final
2023-04-16 09:59:30	ga_ls8c_ard_3-2-1_097075_2023-04-16_final
2023-05-02 09:59:26	ga_ls8c_ard_3-2-1_097075_2023-05-02_final
2023-05-18 09:59:13	ga_ls8c_ard_3-2-1_097075_2023-05-18_final
2023-06-03 09:59:17	ga_ls8c_ard_3-2-1_097075_2023-06-03_final
2023-06-19 09:59:26	ga_ls8c_ard_3-2-1_097075_2023-06-19_final
2023-07-05 09:59:37	ga_ls8c_ard_3-2-1_097075_2023-07-05_final
2023-07-21 09:59:40	ga_ls8c_ard_3-2-1_097075_2023-07-21_final
2023-08-06 09:59:49	ga_ls8c_ard_3-2-1_097075_2023-08-06_final
2023-08-22 09:59:57	ga_ls8c_ard_3-2-1_097075_2023-08-22_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