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
2015-12-05 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-12-04_final
2015-12-19 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-19_final
2015-12-21 09:22:26	ga_ls8c_ard_3-0-0_090089_2015-12-20_final
2015-12-30 09:16:13	ga_ls8c_ard_3-0-0_089089_2015-12-29_final
2016-02-05 09:34:41	ga_ls8c_ard_3-0-0_092089_2016-02-05_final
2016-02-14 09:28:25	ga_ls8c_ard_3-0-0_091089_2016-02-13_final
2016-02-23 09:22:11	ga_ls8c_ard_3-0-0_090089_2016-02-22_final
2016-03-01 09:28:22	ga_ls8c_ard_3-0-0_091089_2016-02-29_final
2016-03-10 09:22:09	ga_ls8c_ard_3-0-0_090089_2016-03-09_final
2016-03-24 09:34:24	ga_ls8c_ard_3-0-0_092089_2016-03-24_final
2016-03-26 09:22:01	ga_ls8c_ard_3-0-0_090089_2016-03-25_final
2016-05-11 09:34:12	ga_ls8c_ard_3-0-0_092089_2016-05-11_final
2016-06-07 09:15:47	ga_ls8c_ard_3-0-0_089089_2016-06-06_final
2016-06-28 09:34:28	ga_ls8c_ard_3-0-0_092089_2016-06-28_final
2016-06-30 09:22:07	ga_ls8c_ard_3-0-0_090089_2016-06-29_final
2016-07-07 09:28:22	ga_ls8c_ard_3-0-0_091089_2016-07-06_final
2016-07-09 09:16:01	ga_ls8c_ard_3-0-0_089089_2016-07-08_final
2016-08-01 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-07-31_final
2016-08-08 09:28:30	ga_ls8c_ard_3-0-0_091089_2016-08-07_final
2016-08-15 09:34:43	ga_ls8c_ard_3-0-0_092089_2016-08-15_final
2016-08-17 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-08-16_final
2016-08-24 09:28:36	ga_ls8c_ard_3-0-0_091089_2016-08-23_final
2016-08-26 09:16:15	ga_ls8c_ard_3-0-0_089089_2016-08-25_final
2016-09-09 09:28:41	ga_ls8c_ard_3-0-0_091089_2016-09-08_final
2016-09-18 09:22:31	ga_ls8c_ard_3-0-0_090089_2016-09-17_final
2016-10-11 09:28:47	ga_ls8c_ard_3-0-0_091089_2016-10-10_final
2016-10-13 09:16:26	ga_ls8c_ard_3-0-0_089089_2016-10-12_final
2017-09-19 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-09-19_final
2017-10-05 09:34:54	ga_ls8c_ard_3-0-0_092089_2017-10-05_final
2017-11-08 09:22:34	ga_ls8c_ard_3-0-0_090089_2017-11-07_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-12-01 09:28:37	ga_ls8c_ard_3-0-0_091089_2017-11-30_final
2017-12-26 09:22:28	ga_ls8c_ard_3-0-0_090089_2017-12-25_final
2020-10-22 09:28:48	ga_ls8c_ard_3-1-0_091089_2020-10-21_final
2020-12-11 09:16:28	ga_ls8c_ard_3-1-0_089089_2020-12-10_final
2021-05-02 09:28:00	ga_ls8c_ard_3-2-0_091089_2021-05-01_final
2021-05-04 09:15:37	ga_ls8c_ard_3-2-0_089089_2021-05-03_final
2021-05-09 09:34:10	ga_ls8c_ard_3-2-0_092089_2021-05-09_final
2021-05-11 09:21:49	ga_ls8c_ard_3-2-0_090089_2021-05-10_final
2021-05-18 09:28:05	ga_ls8c_ard_3-2-0_091089_2021-05-17_final
2021-05-20 09:15:45	ga_ls8c_ard_3-2-0_089089_2021-05-19_final
2021-05-25 09:34:20	ga_ls8c_ard_3-2-0_092089_2021-05-25_final
2021-05-27 09:21:59	ga_ls8c_ard_3-2-0_090089_2021-05-26_final
2021-06-03 09:28:14	ga_ls8c_ard_3-2-0_091089_2021-06-02_final
2021-06-05 09:15:53	ga_ls8c_ard_3-2-0_089089_2021-06-04_final
2021-06-10 09:34:27	ga_ls8c_ard_3-2-0_092089_2021-06-10_final
2021-06-12 09:22:06	ga_ls8c_ard_3-2-0_090089_2021-06-11_final
2021-06-19 09:28:19	ga_ls8c_ard_3-2-0_091089_2021-06-18_final
2021-06-21 09:15:58	ga_ls8c_ard_3-2-0_089089_2021-06-20_final
2021-06-26 09:34:32	ga_ls8c_ard_3-2-0_092089_2021-06-26_final
2021-06-28 09:22:10	ga_ls8c_ard_3-2-0_090089_2021-06-27_final
2021-07-05 09:28:22	ga_ls8c_ard_3-2-0_091089_2021-07-04_final
2021-07-07 09:16:01	ga_ls8c_ard_3-2-0_089089_2021-07-06_final
2021-07-12 09:34:33	ga_ls8c_ard_3-2-0_092089_2021-07-12_final
2021-07-14 09:22:12	ga_ls8c_ard_3-2-0_090089_2021-07-13_final
2021-07-21 09:28:26	ga_ls8c_ard_3-2-0_091089_2021-07-20_final
2021-07-23 09:16:05	ga_ls8c_ard_3-2-0_089089_2021-07-22_final
2021-07-28 09:34:40	ga_ls8c_ard_3-2-0_092089_2021-07-28_final
2021-07-30 09:22:20	ga_ls8c_ard_3-2-0_090089_2021-07-29_final
2021-08-06 09:28:34	ga_ls8c_ard_3-2-0_091089_2021-08-05_final
2021-08-08 09:16:13	ga_ls8c_ard_3-2-0_089089_2021-08-07_final
2021-08-13 09:34:47	ga_ls8c_ard_3-2-0_092089_2021-08-13_final
2021-08-15 09:22:26	ga_ls8c_ard_3-2-0_090089_2021-08-14_final
2021-08-22 09:28:39	ga_ls8c_ard_3-2-0_091089_2021-08-21_final
2021-08-24 09:16:18	ga_ls8c_ard_3-2-0_089089_2021-08-23_final
2021-08-29 09:34:51	ga_ls8c_ard_3-2-0_092089_2021-08-29_final
2021-08-31 09:22:31	ga_ls8c_ard_3-2-0_090089_2021-08-30_final
2021-09-07 09:28:43	ga_ls8c_ard_3-2-0_091089_2021-09-06_final
2021-09-09 09:16:22	ga_ls8c_ard_3-2-0_089089_2021-09-08_final
2021-09-14 09:34:56	ga_ls8c_ard_3-2-0_092089_2021-09-14_final
2021-09-16 09:22:34	ga_ls8c_ard_3-2-0_090089_2021-09-15_final
2021-09-25 09:16:25	ga_ls8c_ard_3-2-0_089089_2021-09-24_final
2021-09-30 09:35:00	ga_ls8c_ard_3-2-0_092089_2021-09-30_final
2021-10-02 09:22:39	ga_ls8c_ard_3-2-0_090089_2021-10-01_final
2021-10-09 09:28:52	ga_ls8c_ard_3-2-0_091089_2021-10-08_final
2021-10-11 09:16:31	ga_ls8c_ard_3-2-0_089089_2021-10-10_final
2022-08-02 09:22:43	ga_ls8c_ard_3-2-1_090089_2022-08-01_final
2022-08-09 09:28:57	ga_ls8c_ard_3-2-1_091089_2022-08-08_final
2022-08-11 09:16:37	ga_ls8c_ard_3-2-1_089089_2022-08-10_final
2022-08-16 09:35:10	ga_ls8c_ard_3-2-1_092089_2022-08-16_final
2022-09-26 09:29:07	ga_ls8c_ard_3-2-1_091089_2022-09-25_final
2022-11-06 09:22:55	ga_ls8c_ard_3-2-1_090089_2022-11-05_final
2022-11-15 09:16:39	ga_ls8c_ard_3-2-1_089089_2022-11-14_final
2022-11-20 09:35:10	ga_ls8c_ard_3-2-1_092089_2022-11-20_final
2022-11-29 09:29:02	ga_ls8c_ard_3-2-1_091089_2022-11-28_final
2023-05-08 09:27:51	ga_ls8c_ard_3-2-1_091089_2023-05-07_final
2023-05-10 09:15:27	ga_ls8c_ard_3-2-1_089089_2023-05-09_final
2023-05-15 09:33:55	ga_ls8c_ard_3-2-1_092089_2023-05-15_final
2023-05-17 09:21:33	ga_ls8c_ard_3-2-1_090089_2023-05-16_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
2023-12-20 09:16:20	ga_ls8c_ard_3-2-1_089089_2023-12-19_final
2023-12-25 09:34:51	ga_ls8c_ard_3-2-1_092089_2023-12-25_final
2023-12-27 09:22:29	ga_ls8c_ard_3-2-1_090089_2023-12-26_final
2024-01-10 09:34:46	ga_ls8c_ard_3-2-1_092089_2024-01-10_final
2024-01-12 09:22:25	ga_ls8c_ard_3-2-1_090089_2024-01-11_final
2024-02-04 09:28:33	ga_ls8c_ard_3-2-1_091089_2024-02-03_final
2024-02-06 09:16:12	ga_ls8c_ard_3-2-1_089089_2024-02-05_final
2024-02-11 09:34:45	ga_ls8c_ard_3-2-1_092089_2024-02-11_final
2024-03-30 09:34:15	ga_ls8c_ard_3-2-1_092089_2024-03-30_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