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
2015-01-12 09:16:33	ga_ls8c_ard_3-0-0_089090_2015-01-11_final
2015-01-26 09:28:49	ga_ls8c_ard_3-0-0_091090_2015-01-25_final
2015-01-28 09:16:28	ga_ls8c_ard_3-0-0_089090_2015-01-27_final
2015-03-15 09:28:28	ga_ls8c_ard_3-0-0_091090_2015-03-14_final
2015-03-17 09:16:06	ga_ls8c_ard_3-0-0_089090_2015-03-16_final
2015-03-31 09:28:18	ga_ls8c_ard_3-0-0_091090_2015-03-30_final
2015-04-02 09:15:54	ga_ls8c_ard_3-0-0_089090_2015-04-01_final
2016-05-27 09:34:41	ga_ls8c_ard_3-0-0_092090_2016-05-27_final
2016-05-29 09:22:20	ga_ls8c_ard_3-0-0_090090_2016-05-28_final
2016-06-05 09:28:33	ga_ls8c_ard_3-0-0_091090_2016-06-04_final
2016-06-07 09:16:11	ga_ls8c_ard_3-0-0_089090_2016-06-06_final
2016-06-28 09:34:52	ga_ls8c_ard_3-0-0_092090_2016-06-28_final
2016-06-30 09:22:31	ga_ls8c_ard_3-0-0_090090_2016-06-29_final
2016-06-30 09:22:55	ga_ls8c_ard_3-0-0_090091_2016-06-29_final
2016-08-15 09:35:07	ga_ls8c_ard_3-0-0_092090_2016-08-15_final
2016-08-17 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-08-16_final
2016-08-17 09:23:10	ga_ls8c_ard_3-0-0_090091_2016-08-16_final
2016-09-16 09:35:17	ga_ls8c_ard_3-0-0_092090_2016-09-16_final
2016-09-18 09:22:55	ga_ls8c_ard_3-0-0_090090_2016-09-17_final
2016-09-18 09:23:19	ga_ls8c_ard_3-0-0_090091_2016-09-17_final
2017-04-12 09:34:32	ga_ls8c_ard_3-0-0_092090_2017-04-12_final
2017-04-14 09:22:09	ga_ls8c_ard_3-0-0_090090_2017-04-13_final
2017-04-21 09:28:16	ga_ls8c_ard_3-0-0_091090_2017-04-20_final
2017-05-09 09:15:52	ga_ls8c_ard_3-0-0_089090_2017-05-08_final
2017-05-30 09:34:38	ga_ls8c_ard_3-0-0_092090_2017-05-30_final
2017-06-08 09:28:31	ga_ls8c_ard_3-0-0_091090_2017-06-07_final
2017-06-08 09:28:55	ga_ls8c_ard_3-0-0_091091_2017-06-07_final
2017-06-10 09:16:11	ga_ls8c_ard_3-0-0_089090_2017-06-09_final
2017-06-26 09:16:16	ga_ls8c_ard_3-0-0_089090_2017-06-25_final
2017-07-17 09:34:53	ga_ls8c_ard_3-0-0_092090_2017-07-17_final
2017-07-19 09:22:33	ga_ls8c_ard_3-0-0_090090_2017-07-18_final
2017-07-19 09:22:57	ga_ls8c_ard_3-0-0_090091_2017-07-18_final
2017-07-26 09:28:47	ga_ls8c_ard_3-0-0_091090_2017-07-25_final
2017-07-28 09:16:26	ga_ls8c_ard_3-0-0_089090_2017-07-27_final
2017-08-13 09:16:33	ga_ls8c_ard_3-0-0_089090_2017-08-12_final
2017-08-29 09:16:36	ga_ls8c_ard_3-0-0_089090_2017-08-28_final
2017-12-10 09:22:50	ga_ls8c_ard_3-0-0_090090_2017-12-09_final
2017-12-10 09:23:14	ga_ls8c_ard_3-0-0_090091_2017-12-09_final
2018-01-11 09:22:46	ga_ls8c_ard_3-0-0_090090_2018-01-10_final
2018-01-27 09:22:37	ga_ls8c_ard_3-0-0_090090_2018-01-26_final
2018-04-08 09:28:15	ga_ls8c_ard_3-0-0_091090_2018-04-07_final
2018-04-17 09:21:59	ga_ls8c_ard_3-0-0_090090_2018-04-16_final
2018-04-24 09:28:06	ga_ls8c_ard_3-0-0_091090_2018-04-23_final
2018-06-04 09:21:28	ga_ls8c_ard_3-0-0_090090_2018-06-03_final
2018-06-04 09:21:52	ga_ls8c_ard_3-0-0_090091_2018-06-03_final
2018-06-11 09:27:42	ga_ls8c_ard_3-0-0_091090_2018-06-10_final
2018-06-11 09:28:06	ga_ls8c_ard_3-0-0_091091_2018-06-10_final
2018-07-22 09:21:54	ga_ls8c_ard_3-0-0_090090_2018-07-21_final
2019-02-15 09:22:26	ga_ls8c_ard_3-0-0_090090_2019-02-14_final
2019-06-05 09:34:48	ga_ls8c_ard_3-0-0_092090_2019-06-05_final
2019-07-09 09:22:37	ga_ls8c_ard_3-1-0_090090_2019-07-08_final
2019-07-09 09:23:01	ga_ls8c_ard_3-1-0_090091_2019-07-08_final
2019-08-26 09:22:52	ga_ls8c_ard_3-1-0_090090_2019-08-25_final
2019-09-09 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-09-09_final
2019-09-11 09:22:56	ga_ls8c_ard_3-1-0_090090_2019-09-10_final
2019-09-27 09:23:01	ga_ls8c_ard_3-1-0_090090_2019-09-26_final
2019-10-11 09:35:26	ga_ls8c_ard_3-1-0_092090_2019-10-11_final
2019-10-27 09:35:27	ga_ls8c_ard_3-1-0_092090_2019-10-27_final
2019-10-29 09:23:05	ga_ls8c_ard_3-1-0_090090_2019-10-28_final
2019-10-29 09:23:29	ga_ls8c_ard_3-1-0_090091_2019-10-28_final
2019-11-14 09:23:02	ga_ls8c_ard_3-1-0_090090_2019-11-13_final
2019-11-28 09:35:22	ga_ls8c_ard_3-1-0_092090_2019-11-28_final
2020-05-31 09:28:21	ga_ls8c_ard_3-1-0_091090_2020-05-30_final
2020-06-02 09:16:01	ga_ls8c_ard_3-1-0_089090_2020-06-01_final
2020-06-18 09:16:11	ga_ls8c_ard_3-1-0_089090_2020-06-17_final
2020-06-25 09:22:25	ga_ls8c_ard_3-1-0_090090_2020-06-24_final
2020-06-25 09:22:49	ga_ls8c_ard_3-1-0_090091_2020-06-24_final
2020-07-04 09:16:18	ga_ls8c_ard_3-1-0_089090_2020-07-03_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
2020-07-25 09:34:58	ga_ls8c_ard_3-1-0_092090_2020-07-25_final
2020-08-10 09:35:01	ga_ls8c_ard_3-1-0_092090_2020-08-10_final
2020-08-12 09:22:40	ga_ls8c_ard_3-1-0_090090_2020-08-11_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
2020-08-21 09:16:34	ga_ls8c_ard_3-1-0_089090_2020-08-20_final
2020-08-26 09:35:09	ga_ls8c_ard_3-1-0_092090_2020-08-26_final
2020-08-28 09:22:49	ga_ls8c_ard_3-1-0_090090_2020-08-27_final
2020-09-11 09:35:16	ga_ls8c_ard_3-1-0_092090_2020-09-11_final
2020-09-29 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-09-28_final
2020-10-15 09:23:01	ga_ls8c_ard_3-1-0_090090_2020-10-14_final
2020-10-15 09:23:25	ga_ls8c_ard_3-1-0_090091_2020-10-14_final
2020-12-18 09:23:02	ga_ls8c_ard_3-2-0_090090_2020-12-17_final
2021-09-14 09:35:20	ga_ls8c_ard_3-2-0_092090_2021-09-14_final
2022-01-04 09:35:18	ga_ls8c_ard_3-2-1_092090_2022-01-04_final
2022-01-06 09:22:56	ga_ls8c_ard_3-2-1_090090_2022-01-05_final
2022-01-20 09:35:15	ga_ls8c_ard_3-2-1_092090_2022-01-20_final
2022-01-22 09:22:52	ga_ls8c_ard_3-2-1_090090_2022-01-21_final
2023-02-01 09:29:15	ga_ls8c_ard_3-2-1_091090_2023-01-31_final
2023-02-03 09:16:53	ga_ls8c_ard_3-2-1_089090_2023-02-02_final
2023-02-08 09:35:24	ga_ls8c_ard_3-2-1_092090_2023-02-08_final
2023-02-10 09:23:01	ga_ls8c_ard_3-2-1_090090_2023-02-09_final
2023-05-01 09:22:10	ga_ls8c_ard_3-2-1_090090_2023-04-30_final
2023-05-08 09:28:15	ga_ls8c_ard_3-2-1_091090_2023-05-07_final
2023-05-10 09:15:51	ga_ls8c_ard_3-2-1_089090_2023-05-09_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
2023-12-09 09:35:10	ga_ls8c_ard_3-2-1_092090_2023-12-09_final
2023-12-11 09:22:50	ga_ls8c_ard_3-2-1_090090_2023-12-10_final
2024-02-27 09:35:04	ga_ls8c_ard_3-2-1_092090_2024-02-27_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