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
2013-09-17 09:30:26	ga_ls8c_ard_3-0-0_091089_2013-09-17_final
2013-09-17 09:30:50	ga_ls8c_ard_3-0-0_091090_2013-09-17_final
2014-01-16 09:23:26	ga_ls8c_ard_3-0-0_090089_2014-01-15_final
2014-01-16 09:23:50	ga_ls8c_ard_3-0-0_090090_2014-01-15_final
2014-02-01 09:23:45	ga_ls8c_ard_3-0-0_090090_2014-01-31_final
2014-03-05 09:23:15	ga_ls8c_ard_3-0-0_090090_2014-03-04_final
2014-08-03 09:28:27	ga_ls8c_ard_3-0-0_091089_2014-08-02_final
2014-08-03 09:28:51	ga_ls8c_ard_3-0-0_091090_2014-08-02_final
2014-08-19 09:28:32	ga_ls8c_ard_3-0-0_091089_2014-08-18_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-11-07 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-11-06_final
2016-06-30 09:22:07	ga_ls8c_ard_3-0-0_090089_2016-06-29_final
2016-06-30 09:22:31	ga_ls8c_ard_3-0-0_090090_2016-06-29_final
2016-07-16 09:22:15	ga_ls8c_ard_3-0-0_090089_2016-07-15_final
2016-07-16 09:22:39	ga_ls8c_ard_3-0-0_090090_2016-07-15_final
2016-08-15 09:34:43	ga_ls8c_ard_3-0-0_092089_2016-08-15_final
2016-08-15 09:35:07	ga_ls8c_ard_3-0-0_092090_2016-08-15_final
2016-08-17 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-08-16_final
2016-08-17 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-08-16_final
2016-08-24 09:28:36	ga_ls8c_ard_3-0-0_091089_2016-08-23_final
2016-08-24 09:29:00	ga_ls8c_ard_3-0-0_091090_2016-08-23_final
2016-08-26 09:16:15	ga_ls8c_ard_3-0-0_089089_2016-08-25_final
2016-08-26 09:16:39	ga_ls8c_ard_3-0-0_089090_2016-08-25_final
2016-08-31 09:34:50	ga_ls8c_ard_3-0-0_092089_2016-08-31_final
2016-08-31 09:35:14	ga_ls8c_ard_3-0-0_092090_2016-08-31_final
2016-09-02 09:22:29	ga_ls8c_ard_3-0-0_090089_2016-09-01_final
2016-09-02 09:22:53	ga_ls8c_ard_3-0-0_090090_2016-09-01_final
2016-09-09 09:28:41	ga_ls8c_ard_3-0-0_091089_2016-09-08_final
2016-09-09 09:29:05	ga_ls8c_ard_3-0-0_091090_2016-09-08_final
2016-09-11 09:16:20	ga_ls8c_ard_3-0-0_089089_2016-09-10_final
2016-09-11 09:16:44	ga_ls8c_ard_3-0-0_089090_2016-09-10_final
2016-09-16 09:34:53	ga_ls8c_ard_3-0-0_092089_2016-09-16_final
2016-09-16 09:35:17	ga_ls8c_ard_3-0-0_092090_2016-09-16_final
2016-09-18 09:22:31	ga_ls8c_ard_3-0-0_090089_2016-09-17_final
2016-09-18 09:22:55	ga_ls8c_ard_3-0-0_090090_2016-09-17_final
2016-09-25 09:28:42	ga_ls8c_ard_3-0-0_091089_2016-09-24_final
2016-09-25 09:29:06	ga_ls8c_ard_3-0-0_091090_2016-09-24_final
2016-10-02 09:34:54	ga_ls8c_ard_3-0-0_092089_2016-10-02_final
2016-10-02 09:35:18	ga_ls8c_ard_3-0-0_092090_2016-10-02_final
2016-10-04 09:22:33	ga_ls8c_ard_3-0-0_090089_2016-10-03_final
2016-10-04 09:22:57	ga_ls8c_ard_3-0-0_090090_2016-10-03_final
2016-10-11 09:28:47	ga_ls8c_ard_3-0-0_091089_2016-10-10_final
2016-10-11 09:29:10	ga_ls8c_ard_3-0-0_091090_2016-10-10_final
2016-10-13 09:16:50	ga_ls8c_ard_3-0-0_089090_2016-10-12_final
2016-10-18 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-10-18_final
2016-10-18 09:35:23	ga_ls8c_ard_3-0-0_092090_2016-10-18_final
2016-10-29 09:16:27	ga_ls8c_ard_3-0-0_089089_2016-10-28_final
2016-10-29 09:16:51	ga_ls8c_ard_3-0-0_089090_2016-10-28_final
2016-11-03 09:35:00	ga_ls8c_ard_3-0-0_092089_2016-11-03_final
2016-11-03 09:35:24	ga_ls8c_ard_3-0-0_092090_2016-11-03_final
2016-11-05 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-04_final
2016-11-05 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-04_final
2016-11-12 09:29:12	ga_ls8c_ard_3-0-0_091090_2016-11-11_final
2016-11-14 09:16:50	ga_ls8c_ard_3-0-0_089090_2016-11-13_final
2016-11-19 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-11-19_final
2016-11-19 09:35:23	ga_ls8c_ard_3-0-0_092090_2016-11-19_final
2016-11-21 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-20_final
2018-05-28 09:15:21	ga_ls8c_ard_3-0-0_089090_2018-05-27_final
2018-06-13 09:14:58	ga_ls8c_ard_3-0-0_089089_2018-06-12_final
2018-06-13 09:15:22	ga_ls8c_ard_3-0-0_089090_2018-06-12_final
2018-07-13 09:27:37	ga_ls8c_ard_3-0-0_091089_2018-07-12_final
2018-07-13 09:28:01	ga_ls8c_ard_3-0-0_091090_2018-07-12_final
2018-08-14 09:27:53	ga_ls8c_ard_3-0-0_091089_2018-08-13_final
2018-08-14 09:28:17	ga_ls8c_ard_3-0-0_091090_2018-08-13_final
2018-08-16 09:15:33	ga_ls8c_ard_3-0-0_089089_2018-08-15_final
2018-08-16 09:15:57	ga_ls8c_ard_3-0-0_089090_2018-08-15_final
2019-01-07 09:16:22	ga_ls8c_ard_3-0-0_089090_2019-01-06_final
2020-07-25 09:34:34	ga_ls8c_ard_3-1-0_092089_2020-07-25_final
2020-07-25 09:34:58	ga_ls8c_ard_3-1-0_092090_2020-07-25_final
2020-09-20 09:28:44	ga_ls8c_ard_3-1-0_091089_2020-09-19_final
2020-09-20 09:29:08	ga_ls8c_ard_3-1-0_091090_2020-09-19_final
2021-05-20 09:15:45	ga_ls8c_ard_3-2-0_089089_2021-05-19_final
2021-05-20 09:16:09	ga_ls8c_ard_3-2-0_089090_2021-05-19_final
2021-06-28 09:22:10	ga_ls8c_ard_3-2-0_090089_2021-06-27_final
2021-06-28 09:22:34	ga_ls8c_ard_3-2-0_090090_2021-06-27_final
2021-07-05 09:28:22	ga_ls8c_ard_3-2-0_091089_2021-07-04_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-07-07 09:16:01	ga_ls8c_ard_3-2-0_089089_2021-07-06_final
2021-07-07 09:16:25	ga_ls8c_ard_3-2-0_089090_2021-07-06_final
2021-07-12 09:34:33	ga_ls8c_ard_3-2-0_092089_2021-07-12_final
2021-07-12 09:34:57	ga_ls8c_ard_3-2-0_092090_2021-07-12_final
2021-07-14 09:22:12	ga_ls8c_ard_3-2-0_090089_2021-07-13_final
2021-07-14 09:22:36	ga_ls8c_ard_3-2-0_090090_2021-07-13_final
2021-07-21 09:28:26	ga_ls8c_ard_3-2-0_091089_2021-07-20_final
2021-07-21 09:28:50	ga_ls8c_ard_3-2-0_091090_2021-07-20_final
2021-07-23 09:16:05	ga_ls8c_ard_3-2-0_089089_2021-07-22_final
2021-07-23 09:16:29	ga_ls8c_ard_3-2-0_089090_2021-07-22_final
2021-07-28 09:34:40	ga_ls8c_ard_3-2-0_092089_2021-07-28_final
2021-07-28 09:35:04	ga_ls8c_ard_3-2-0_092090_2021-07-28_final
2021-10-18 09:22:43	ga_ls8c_ard_3-2-0_090089_2021-10-17_final
2021-10-18 09:23:07	ga_ls8c_ard_3-2-0_090090_2021-10-17_final
2021-10-25 09:29:18	ga_ls8c_ard_3-2-0_091090_2021-10-24_final
2021-12-28 09:28:44	ga_ls8c_ard_3-2-1_091089_2021-12-27_final
2021-12-28 09:29:08	ga_ls8c_ard_3-2-1_091090_2021-12-27_final
2021-12-30 09:16:46	ga_ls8c_ard_3-2-1_089090_2021-12-29_final
2022-01-13 09:29:06	ga_ls8c_ard_3-2-1_091090_2022-01-12_final
2022-01-15 09:16:44	ga_ls8c_ard_3-2-1_089090_2022-01-14_final
2023-07-20 09:22:23	ga_ls8c_ard_3-2-1_090090_2023-07-19_final
2023-07-27 09:28:40	ga_ls8c_ard_3-2-1_091090_2023-07-26_final
2024-03-09 09:15:58	ga_ls8c_ard_3-2-1_089089_2024-03-08_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