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
2013-07-08 09:24:40	ga_ls8c_ard_3-0-0_090090_2013-07-07_final
2014-05-24 09:22:11	ga_ls8c_ard_3-0-0_090090_2014-05-23_final
2014-05-31 09:28:27	ga_ls8c_ard_3-0-0_091090_2014-05-30_final
2014-06-02 09:16:07	ga_ls8c_ard_3-0-0_089090_2014-06-01_final
2014-06-25 09:22:24	ga_ls8c_ard_3-0-0_090090_2014-06-24_final
2015-06-03 09:28:01	ga_ls8c_ard_3-0-0_091090_2015-06-02_final
2015-06-03 09:28:25	ga_ls8c_ard_3-0-0_091091_2015-06-02_final
2015-06-19 09:28:10	ga_ls8c_ard_3-0-0_091090_2015-06-18_final
2015-06-19 09:28:34	ga_ls8c_ard_3-0-0_091091_2015-06-18_final
2017-03-20 09:28:56	ga_ls8c_ard_3-0-0_091091_2017-03-19_final
2017-03-29 09:22:41	ga_ls8c_ard_3-0-0_090091_2017-03-28_final
2017-04-05 09:28:49	ga_ls8c_ard_3-0-0_091091_2017-04-04_final
2017-04-30 09:22:23	ga_ls8c_ard_3-0-0_090091_2017-04-29_final
2017-05-07 09:28:12	ga_ls8c_ard_3-0-0_091090_2017-05-06_final
2017-05-07 09:28:36	ga_ls8c_ard_3-0-0_091091_2017-05-06_final
2017-05-16 09:22:08	ga_ls8c_ard_3-0-0_090090_2017-05-15_final
2017-05-16 09:22:32	ga_ls8c_ard_3-0-0_090091_2017-05-15_final
2017-05-23 09:28:47	ga_ls8c_ard_3-0-0_091091_2017-05-22_final
2017-05-25 09:16:03	ga_ls8c_ard_3-0-0_089090_2017-05-24_final
2017-06-17 09:22:48	ga_ls8c_ard_3-0-0_090091_2017-06-16_final
2017-06-24 09:29:01	ga_ls8c_ard_3-0-0_091091_2017-06-23_final
2017-07-01 09:34:49	ga_ls8c_ard_3-0-0_092090_2017-07-01_final
2017-07-03 09:22:52	ga_ls8c_ard_3-0-0_090091_2017-07-02_final
2017-07-10 09:28:40	ga_ls8c_ard_3-0-0_091090_2017-07-09_final
2017-07-10 09:29:04	ga_ls8c_ard_3-0-0_091091_2017-07-09_final
2017-08-04 09:23:04	ga_ls8c_ard_3-0-0_090091_2017-08-03_final
2017-08-20 09:23:09	ga_ls8c_ard_3-0-0_090091_2017-08-19_final
2017-09-21 09:23:15	ga_ls8c_ard_3-0-0_090091_2017-09-20_final
2017-09-28 09:29:29	ga_ls8c_ard_3-0-0_091091_2017-09-27_final
2017-10-23 09:23:23	ga_ls8c_ard_3-0-0_090091_2017-10-22_final
2017-10-30 09:29:34	ga_ls8c_ard_3-0-0_091091_2017-10-29_final
2017-11-08 09:23:22	ga_ls8c_ard_3-0-0_090091_2017-11-07_final
2017-11-15 09:29:31	ga_ls8c_ard_3-0-0_091091_2017-11-14_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_final
2017-12-01 09:29:25	ga_ls8c_ard_3-0-0_091091_2017-11-30_final
2017-12-10 09:23:14	ga_ls8c_ard_3-0-0_090091_2017-12-09_final
2017-12-17 09:29:27	ga_ls8c_ard_3-0-0_091091_2017-12-16_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_final
2018-01-02 09:29:25	ga_ls8c_ard_3-0-0_091091_2018-01-01_final
2018-01-11 09:23:10	ga_ls8c_ard_3-0-0_090091_2018-01-10_final
2018-01-18 09:29:18	ga_ls8c_ard_3-0-0_091091_2018-01-17_final
2018-01-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-01-26_final
2018-02-03 09:29:08	ga_ls8c_ard_3-0-0_091091_2018-02-02_final
2018-02-12 09:22:55	ga_ls8c_ard_3-0-0_090091_2018-02-11_final
2018-02-28 09:22:48	ga_ls8c_ard_3-0-0_090091_2018-02-27_final
2018-03-07 09:28:55	ga_ls8c_ard_3-0-0_091091_2018-03-06_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
2018-05-26 09:28:08	ga_ls8c_ard_3-0-0_091091_2018-05-25_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
2018-06-13 09:15:22	ga_ls8c_ard_3-0-0_089090_2018-06-12_final
2018-07-04 09:34:08	ga_ls8c_ard_3-0-0_092090_2018-07-04_final
2018-07-20 09:34:15	ga_ls8c_ard_3-0-0_092090_2018-07-20_final
2018-11-02 09:29:11	ga_ls8c_ard_3-0-0_091091_2018-11-01_final
2018-11-11 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-10_final
2018-11-18 09:29:12	ga_ls8c_ard_3-0-0_091091_2018-11-17_final
2018-12-04 09:29:10	ga_ls8c_ard_3-0-0_091091_2018-12-03_final
2018-12-13 09:22:57	ga_ls8c_ard_3-0-0_090091_2018-12-12_final
2018-12-20 09:29:08	ga_ls8c_ard_3-0-0_091091_2018-12-19_final
2018-12-29 09:22:58	ga_ls8c_ard_3-0-0_090091_2018-12-28_final
2019-01-05 09:29:08	ga_ls8c_ard_3-0-0_091091_2019-01-04_final
2019-01-14 09:22:56	ga_ls8c_ard_3-0-0_090091_2019-01-13_final
2019-01-21 09:29:05	ga_ls8c_ard_3-0-0_091091_2019-01-20_final
2019-01-30 09:22:52	ga_ls8c_ard_3-0-0_090091_2019-01-29_final
2020-02-18 09:23:06	ga_ls8c_ard_3-1-0_090091_2020-02-17_final
2020-03-05 09:23:01	ga_ls8c_ard_3-1-0_090091_2020-03-04_final
2020-03-12 09:29:09	ga_ls8c_ard_3-1-0_091091_2020-03-11_final
2020-05-08 09:22:29	ga_ls8c_ard_3-1-0_090091_2020-05-07_final
2022-11-06 09:23:43	ga_ls8c_ard_3-2-1_090091_2022-11-05_final
2022-11-22 09:23:37	ga_ls8c_ard_3-2-1_090091_2022-11-21_final
2022-12-08 09:23:38	ga_ls8c_ard_3-2-1_090091_2022-12-07_final
2023-01-09 09:23:29	ga_ls8c_ard_3-2-1_090091_2023-01-08_final
2023-01-25 09:23:27	ga_ls8c_ard_3-2-1_090091_2023-01-24_final
2023-02-10 09:23:25	ga_ls8c_ard_3-2-1_090091_2023-02-09_final
2023-02-26 09:23:08	ga_ls8c_ard_3-2-1_090091_2023-02-25_final
2023-03-14 09:23:03	ga_ls8c_ard_3-2-1_090091_2023-03-13_final
2023-03-30 09:22:53	ga_ls8c_ard_3-2-1_090091_2023-03-29_final
2023-04-15 09:22:38	ga_ls8c_ard_3-2-1_090091_2023-04-14_final
2023-05-01 09:22:34	ga_ls8c_ard_3-2-1_090091_2023-04-30_final
2023-05-17 09:22:21	ga_ls8c_ard_3-2-1_090091_2023-05-16_final
2023-06-02 09:22:24	ga_ls8c_ard_3-2-1_090091_2023-06-01_final
2023-06-18 09:22:33	ga_ls8c_ard_3-2-1_090091_2023-06-17_final
2023-06-27 09:16:03	ga_ls8c_ard_3-2-1_089090_2023-06-26_final
2023-07-04 09:22:44	ga_ls8c_ard_3-2-1_090091_2023-07-03_final
2023-07-11 09:28:34	ga_ls8c_ard_3-2-1_091090_2023-07-10_final
2023-07-13 09:16:13	ga_ls8c_ard_3-2-1_089090_2023-07-12_final
2023-07-20 09:22:23	ga_ls8c_ard_3-2-1_090090_2023-07-19_final
2023-07-20 09:22:47	ga_ls8c_ard_3-2-1_090091_2023-07-19_final
2023-08-03 09:34:54	ga_ls8c_ard_3-2-1_092090_2023-08-03_final
2023-08-05 09:22:57	ga_ls8c_ard_3-2-1_090091_2023-08-04_final
2023-08-19 09:35:00	ga_ls8c_ard_3-2-1_092090_2023-08-19_final
2023-08-21 09:23:04	ga_ls8c_ard_3-2-1_090091_2023-08-20_final
2023-10-08 09:23:13	ga_ls8c_ard_3-2-1_090091_2023-10-07_final
2023-10-24 09:23:16	ga_ls8c_ard_3-2-1_090091_2023-10-23_final
2023-11-09 09:23:13	ga_ls8c_ard_3-2-1_090091_2023-11-08_final
2023-11-25 09:23:20	ga_ls8c_ard_3-2-1_090091_2023-11-24_final
2023-12-11 09:23:14	ga_ls8c_ard_3-2-1_090091_2023-12-10_final
2023-12-27 09:23:17	ga_ls8c_ard_3-2-1_090091_2023-12-26_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