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
2017-09-05 09:22:00	ga_ls8c_ard_3-0-0_090088_2017-09-04_final
2017-09-05 09:22:24	ga_ls8c_ard_3-0-0_090089_2017-09-04_final
2017-09-08 09:52:54	ga_ls8c_ard_3-0-0_095088_2017-09-08_final
2017-09-21 09:22:27	ga_ls8c_ard_3-0-0_090089_2017-09-20_final
2017-10-07 09:22:33	ga_ls8c_ard_3-0-0_090089_2017-10-06_final
2017-10-14 09:28:45	ga_ls8c_ard_3-0-0_091089_2017-10-13_final
2018-01-30 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-01-30_final
2018-03-25 09:15:37	ga_ls8c_ard_3-0-0_089089_2018-03-24_final
2018-04-17 09:21:35	ga_ls8c_ard_3-0-0_090089_2018-04-16_final
2018-05-12 09:15:10	ga_ls8c_ard_3-0-0_089089_2018-05-11_final
2018-06-04 09:20:40	ga_ls8c_ard_3-0-0_090088_2018-06-03_final
2018-06-04 09:21:04	ga_ls8c_ard_3-0-0_090089_2018-06-03_final
2018-06-29 09:14:45	ga_ls8c_ard_3-0-0_089088_2018-06-28_final
2018-06-29 09:15:09	ga_ls8c_ard_3-0-0_089089_2018-06-28_final
2018-07-15 09:14:53	ga_ls8c_ard_3-0-0_089088_2018-07-14_final
2018-07-15 09:15:16	ga_ls8c_ard_3-0-0_089089_2018-07-14_final
2018-07-25 09:52:01	ga_ls8c_ard_3-0-0_095088_2018-07-25_final
2018-07-31 09:15:00	ga_ls8c_ard_3-0-0_089088_2018-07-30_final
2018-07-31 09:15:24	ga_ls8c_ard_3-0-0_089089_2018-07-30_final
2018-08-16 09:15:09	ga_ls8c_ard_3-0-0_089088_2018-08-15_final
2018-08-16 09:15:33	ga_ls8c_ard_3-0-0_089089_2018-08-15_final
2018-09-06 09:33:50	ga_ls8c_ard_3-0-0_092088_2018-09-06_final
2018-09-06 09:34:14	ga_ls8c_ard_3-0-0_092089_2018-09-06_final
2018-09-15 09:28:05	ga_ls8c_ard_3-0-0_091089_2018-09-14_final
2018-09-17 09:15:20	ga_ls8c_ard_3-0-0_089088_2018-09-16_final
2018-09-17 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-09-16_final
2018-09-24 09:21:34	ga_ls8c_ard_3-0-0_090088_2018-09-23_final
2018-09-24 09:21:58	ga_ls8c_ard_3-0-0_090089_2018-09-23_final
2018-10-03 09:15:28	ga_ls8c_ard_3-0-0_089088_2018-10-02_final
2018-10-03 09:15:52	ga_ls8c_ard_3-0-0_089089_2018-10-02_final
2019-12-07 09:28:47	ga_ls8c_ard_3-1-0_091089_2019-12-06_final
2019-12-09 09:16:25	ga_ls8c_ard_3-1-0_089089_2019-12-08_final
2019-12-23 09:28:44	ga_ls8c_ard_3-1-0_091089_2019-12-22_final
2019-12-25 09:16:22	ga_ls8c_ard_3-1-0_089089_2019-12-24_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2020-01-20 09:52:57	ga_ls8c_ard_3-1-0_095088_2020-01-20_final
2020-01-31 09:34:44	ga_ls8c_ard_3-1-0_092089_2020-01-31_final
2020-02-09 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-02-08_final
2020-02-11 09:16:09	ga_ls8c_ard_3-1-0_089089_2020-02-10_final
2020-02-18 09:22:19	ga_ls8c_ard_3-1-0_090089_2020-02-17_final
2020-02-27 09:16:05	ga_ls8c_ard_3-1-0_089089_2020-02-26_final
2020-03-05 09:22:13	ga_ls8c_ard_3-1-0_090089_2020-03-04_final
2020-03-12 09:28:21	ga_ls8c_ard_3-1-0_091089_2020-03-11_final
2020-03-14 09:15:58	ga_ls8c_ard_3-1-0_089089_2020-03-13_final
2020-04-20 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-04-20_final
2020-04-29 09:27:57	ga_ls8c_ard_3-1-0_091089_2020-04-28_final
2020-05-01 09:15:34	ga_ls8c_ard_3-1-0_089089_2020-04-30_final
2020-05-08 09:21:41	ga_ls8c_ard_3-1-0_090089_2020-05-07_final
2020-05-15 09:27:53	ga_ls8c_ard_3-1-0_091089_2020-05-14_final
2020-05-17 09:15:08	ga_ls8c_ard_3-1-0_089088_2020-05-16_final
2020-05-17 09:15:32	ga_ls8c_ard_3-1-0_089089_2020-05-16_final
2020-05-27 09:52:15	ga_ls8c_ard_3-1-0_095088_2020-05-27_final
2021-02-18 09:34:43	ga_ls8c_ard_3-2-0_092089_2021-02-18_final
2021-02-20 09:22:20	ga_ls8c_ard_3-2-0_090089_2021-02-19_final
2021-03-06 09:34:35	ga_ls8c_ard_3-2-0_092089_2021-03-06_final
2021-03-08 09:22:13	ga_ls8c_ard_3-2-0_090089_2021-03-07_final
2021-03-15 09:28:19	ga_ls8c_ard_3-2-0_091089_2021-03-14_final
2021-03-17 09:15:56	ga_ls8c_ard_3-2-0_089089_2021-03-16_final
2021-05-09 09:34:10	ga_ls8c_ard_3-2-0_092089_2021-05-09_final
2021-06-10 09:34:03	ga_ls8c_ard_3-2-0_092088_2021-06-10_final
2021-06-10 09:34:27	ga_ls8c_ard_3-2-0_092089_2021-06-10_final
2021-07-05 09:28:22	ga_ls8c_ard_3-2-0_091089_2021-07-04_final
2021-07-07 09:15:37	ga_ls8c_ard_3-2-0_089088_2021-07-06_final
2021-07-07 09:16:01	ga_ls8c_ard_3-2-0_089089_2021-07-06_final
2021-07-10 09:46:31	ga_ls8c_ard_3-2-0_094088_2021-07-10_final
2021-07-12 09:34:33	ga_ls8c_ard_3-2-0_092089_2021-07-12_final
2021-07-21 09:28:26	ga_ls8c_ard_3-2-0_091089_2021-07-20_final
2023-10-31 09:28:41	ga_ls8c_ard_3-2-1_091089_2023-10-30_final
2023-11-02 09:16:19	ga_ls8c_ard_3-2-1_089089_2023-11-01_final
2023-11-07 09:34:49	ga_ls8c_ard_3-2-1_092089_2023-11-07_final
2023-11-09 09:22:01	ga_ls8c_ard_3-2-1_090088_2023-11-08_final
2023-11-09 09:22:25	ga_ls8c_ard_3-2-1_090089_2023-11-08_final
2023-11-14 09:40:36	ga_ls8c_ard_3-2-1_093088_2023-11-14_final
2023-11-16 09:28:40	ga_ls8c_ard_3-2-1_091089_2023-11-15_final
2023-11-18 09:15:56	ga_ls8c_ard_3-2-1_089088_2023-11-17_final
2023-11-18 09:16:20	ga_ls8c_ard_3-2-1_089089_2023-11-17_final
2023-11-23 09:34:54	ga_ls8c_ard_3-2-1_092089_2023-11-23_final
2023-11-25 09:22:08	ga_ls8c_ard_3-2-1_090088_2023-11-24_final
2023-11-25 09:22:32	ga_ls8c_ard_3-2-1_090089_2023-11-24_final
2023-12-02 09:28:39	ga_ls8c_ard_3-2-1_091089_2023-12-01_final
2023-12-09 09:34:46	ga_ls8c_ard_3-2-1_092089_2023-12-09_final
2023-12-11 09:22:26	ga_ls8c_ard_3-2-1_090089_2023-12-10_final
2024-01-03 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-02_final
2024-02-11 09:34:45	ga_ls8c_ard_3-2-1_092089_2024-02-11_final
2024-02-13 09:22:22	ga_ls8c_ard_3-2-1_090089_2024-02-12_final
2024-02-27 09:34:40	ga_ls8c_ard_3-2-1_092089_2024-02-27_final
2024-02-29 09:21:53	ga_ls8c_ard_3-2-1_090088_2024-02-28_final
2024-02-29 09:22:16	ga_ls8c_ard_3-2-1_090089_2024-02-28_final
2024-03-07 09:28:20	ga_ls8c_ard_3-2-1_091089_2024-03-06_final
2024-03-09 09:15:58	ga_ls8c_ard_3-2-1_089089_2024-03-08_final
2024-03-14 09:34:29	ga_ls8c_ard_3-2-1_092089_2024-03-14_final
2024-03-16 09:22:06	ga_ls8c_ard_3-2-1_090089_2024-03-15_final
2024-03-30 09:34:15	ga_ls8c_ard_3-2-1_092089_2024-03-30_final
2024-04-01 09:21:54	ga_ls8c_ard_3-2-1_090089_2024-03-31_final
2024-04-08 09:28:04	ga_ls8c_ard_3-2-1_091089_2024-04-07_final
2024-04-10 09:15:42	ga_ls8c_ard_3-2-1_089089_2024-04-09_final
2024-04-17 09:21:47	ga_ls8c_ard_3-2-1_090089_2024-04-16_final
2024-04-24 09:27:55	ga_ls8c_ard_3-2-1_091089_2024-04-23_final
2024-04-26 09:15:33	ga_ls8c_ard_3-2-1_089089_2024-04-25_final
2024-05-03 09:21:37	ga_ls8c_ard_3-2-1_090089_2024-05-02_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