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
2018-02-12 09:22:31	ga_ls8c_ard_3-0-0_090090_2018-02-11_final
2018-02-12 09:22:55	ga_ls8c_ard_3-0-0_090091_2018-02-11_final
2018-02-21 09:16:16	ga_ls8c_ard_3-0-0_089090_2018-02-20_final
2018-02-28 09:22:48	ga_ls8c_ard_3-0-0_090091_2018-02-27_final
2018-03-16 09:22:39	ga_ls8c_ard_3-0-0_090091_2018-03-15_final
2018-04-17 09:22:23	ga_ls8c_ard_3-0-0_090091_2018-04-16_final
2018-05-10 09:28:20	ga_ls8c_ard_3-0-0_091091_2018-05-09_final
2018-09-17 09:16:08	ga_ls8c_ard_3-0-0_089090_2018-09-16_final
2018-11-20 09:16:27	ga_ls8c_ard_3-0-0_089090_2018-11-19_final
2018-11-25 09:34:59	ga_ls8c_ard_3-0-0_092090_2018-11-25_final
2018-11-27 09:22:37	ga_ls8c_ard_3-0-0_090090_2018-11-26_final
2018-11-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-26_final
2018-12-11 09:34:56	ga_ls8c_ard_3-0-0_092090_2018-12-11_final
2018-12-13 09:22:33	ga_ls8c_ard_3-0-0_090090_2018-12-12_final
2018-12-13 09:22:57	ga_ls8c_ard_3-0-0_090091_2018-12-12_final
2018-12-27 09:34:55	ga_ls8c_ard_3-0-0_092090_2018-12-27_final
2018-12-29 09:22:34	ga_ls8c_ard_3-0-0_090090_2018-12-28_final
2018-12-29 09:22:58	ga_ls8c_ard_3-0-0_090091_2018-12-28_final
2019-01-07 09:16:22	ga_ls8c_ard_3-0-0_089090_2019-01-06_final
2019-01-14 09:22:32	ga_ls8c_ard_3-0-0_090090_2019-01-13_final
2019-01-14 09:22:56	ga_ls8c_ard_3-0-0_090091_2019-01-13_final
2020-03-03 09:35:00	ga_ls8c_ard_3-1-0_092090_2020-03-03_final
2020-03-28 09:29:00	ga_ls8c_ard_3-1-0_091091_2020-03-27_final
2020-04-13 09:28:53	ga_ls8c_ard_3-1-0_091091_2020-04-12_final
2020-04-22 09:22:38	ga_ls8c_ard_3-1-0_090091_2020-04-21_final
2020-04-29 09:28:45	ga_ls8c_ard_3-1-0_091091_2020-04-28_final
2020-05-17 09:15:56	ga_ls8c_ard_3-1-0_089090_2020-05-16_final
2020-06-16 09:28:31	ga_ls8c_ard_3-1-0_091090_2020-06-15_final
2020-06-16 09:28:55	ga_ls8c_ard_3-1-0_091091_2020-06-15_final
2020-06-18 09:16:11	ga_ls8c_ard_3-1-0_089090_2020-06-17_final
2020-07-11 09:22:32	ga_ls8c_ard_3-1-0_090090_2020-07-10_final
2020-07-11 09:22:56	ga_ls8c_ard_3-1-0_090091_2020-07-10_final
2020-07-18 09:28:45	ga_ls8c_ard_3-1-0_091090_2020-07-17_final
2020-07-18 09:29:09	ga_ls8c_ard_3-1-0_091091_2020-07-17_final
2020-07-20 09:16:24	ga_ls8c_ard_3-1-0_089090_2020-07-19_final
2020-08-03 09:28:49	ga_ls8c_ard_3-1-0_091090_2020-08-02_final
2020-08-03 09:29:13	ga_ls8c_ard_3-1-0_091091_2020-08-02_final
2020-08-05 09:16:28	ga_ls8c_ard_3-1-0_089090_2020-08-04_final
2020-08-10 09:35:01	ga_ls8c_ard_3-1-0_092090_2020-08-10_final
2020-08-19 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-08-18_final
2020-08-19 09:29:19	ga_ls8c_ard_3-1-0_091091_2020-08-18_final
2020-09-11 09:35:16	ga_ls8c_ard_3-1-0_092090_2020-09-11_final
2022-11-15 09:17:03	ga_ls8c_ard_3-2-1_089090_2022-11-14_final
2022-11-20 09:35:34	ga_ls8c_ard_3-2-1_092090_2022-11-20_final
2022-11-22 09:23:37	ga_ls8c_ard_3-2-1_090091_2022-11-21_final
2022-12-06 09:35:36	ga_ls8c_ard_3-2-1_092090_2022-12-06_final
2022-12-15 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-12-14_final
2022-12-17 09:16:58	ga_ls8c_ard_3-2-1_089090_2022-12-16_final
2022-12-22 09:35:26	ga_ls8c_ard_3-2-1_092090_2022-12-22_final
2022-12-24 09:23:04	ga_ls8c_ard_3-2-1_090090_2022-12-23_final
2022-12-24 09:23:28	ga_ls8c_ard_3-2-1_090091_2022-12-23_final
2022-12-31 09:29:17	ga_ls8c_ard_3-2-1_091090_2022-12-30_final
2023-01-02 09:16:55	ga_ls8c_ard_3-2-1_089090_2023-01-01_final
2023-01-07 09:35:27	ga_ls8c_ard_3-2-1_092090_2023-01-07_final
2023-01-09 09:23:05	ga_ls8c_ard_3-2-1_090090_2023-01-08_final
2023-01-09 09:23:29	ga_ls8c_ard_3-2-1_090091_2023-01-08_final
2023-01-18 09:16:47	ga_ls8c_ard_3-2-1_089090_2023-01-17_final
2023-04-15 09:22:38	ga_ls8c_ard_3-2-1_090091_2023-04-14_final
2023-05-17 09:22:21	ga_ls8c_ard_3-2-1_090091_2023-05-16_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-05-26 09:15:49	ga_ls8c_ard_3-2-1_089090_2023-05-25_final
2023-05-31 09:34:21	ga_ls8c_ard_3-2-1_092090_2023-05-31_final
2023-06-02 09:22:00	ga_ls8c_ard_3-2-1_090090_2023-06-01_final
2023-06-02 09:22:24	ga_ls8c_ard_3-2-1_090091_2023-06-01_final
2023-09-04 09:35:02	ga_ls8c_ard_3-2-1_092090_2023-09-04_final
2023-09-13 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-09-12_final
2023-09-15 09:16:34	ga_ls8c_ard_3-2-1_089090_2023-09-14_final
2023-09-20 09:35:07	ga_ls8c_ard_3-2-1_092090_2023-09-20_final
2023-09-22 09:22:45	ga_ls8c_ard_3-2-1_090090_2023-09-21_final
2023-09-22 09:23:09	ga_ls8c_ard_3-2-1_090091_2023-09-21_final
2023-10-08 09:22:49	ga_ls8c_ard_3-2-1_090090_2023-10-07_final
2023-10-08 09:23:13	ga_ls8c_ard_3-2-1_090091_2023-10-07_final
2023-10-15 09:29:02	ga_ls8c_ard_3-2-1_091090_2023-10-14_final
2023-10-17 09:16:40	ga_ls8c_ard_3-2-1_089090_2023-10-16_final
2023-10-24 09:22:52	ga_ls8c_ard_3-2-1_090090_2023-10-23_final
2023-10-24 09:23:16	ga_ls8c_ard_3-2-1_090091_2023-10-23_final
2023-10-31 09:29:05	ga_ls8c_ard_3-2-1_091090_2023-10-30_final
2023-11-02 09:16:43	ga_ls8c_ard_3-2-1_089090_2023-11-01_final
2023-11-07 09:35:13	ga_ls8c_ard_3-2-1_092090_2023-11-07_final
2023-11-18 09:16:44	ga_ls8c_ard_3-2-1_089090_2023-11-17_final
2023-11-23 09:35:18	ga_ls8c_ard_3-2-1_092090_2023-11-23_final
2023-11-25 09:22:56	ga_ls8c_ard_3-2-1_090090_2023-11-24_final
2023-11-25 09:23:20	ga_ls8c_ard_3-2-1_090091_2023-11-24_final
2023-12-04 09:16:39	ga_ls8c_ard_3-2-1_089090_2023-12-03_final
2023-12-09 09:35:10	ga_ls8c_ard_3-2-1_092090_2023-12-09_final
2023-12-11 09:23:14	ga_ls8c_ard_3-2-1_090091_2023-12-10_final
2023-12-18 09:29:05	ga_ls8c_ard_3-2-1_091090_2023-12-17_final
2023-12-20 09:16:43	ga_ls8c_ard_3-2-1_089090_2023-12-19_final
2023-12-25 09:35:15	ga_ls8c_ard_3-2-1_092090_2023-12-25_final
2024-01-12 09:22:49	ga_ls8c_ard_3-2-1_090090_2024-01-11_final
2024-01-12 09:23:13	ga_ls8c_ard_3-2-1_090091_2024-01-11_final
2024-01-28 09:22:42	ga_ls8c_ard_3-2-1_090090_2024-01-27_final
2024-01-28 09:23:06	ga_ls8c_ard_3-2-1_090091_2024-01-27_final
2024-02-04 09:28:57	ga_ls8c_ard_3-2-1_091090_2024-02-03_final
2024-02-06 09:16:36	ga_ls8c_ard_3-2-1_089090_2024-02-05_final
2024-02-13 09:23:10	ga_ls8c_ard_3-2-1_090091_2024-02-12_final
2024-02-22 09:16:34	ga_ls8c_ard_3-2-1_089090_2024-02-21_final
2024-02-27 09:35:04	ga_ls8c_ard_3-2-1_092090_2024-02-27_final
2024-02-29 09:22:40	ga_ls8c_ard_3-2-1_090090_2024-02-28_final
2024-02-29 09:23:04	ga_ls8c_ard_3-2-1_090091_2024-02-28_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