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
2013-06-29 09:30:49	ga_ls8c_ard_3-0-0_091090_2013-06-29_final
2013-07-01 09:18:28	ga_ls8c_ard_3-0-0_089090_2013-06-30_final
2013-07-24 09:24:39	ga_ls8c_ard_3-0-0_090090_2013-07-23_final
2013-07-31 09:30:52	ga_ls8c_ard_3-0-0_091090_2013-07-31_final
2013-08-02 09:18:31	ga_ls8c_ard_3-0-0_089090_2013-08-01_final
2013-08-18 09:18:31	ga_ls8c_ard_3-0-0_089090_2013-08-17_final
2013-09-01 09:30:55	ga_ls8c_ard_3-0-0_091090_2013-09-01_final
2013-09-10 09:24:42	ga_ls8c_ard_3-0-0_090090_2013-09-09_final
2013-09-17 09:30:50	ga_ls8c_ard_3-0-0_091090_2013-09-17_final
2013-09-19 09:18:27	ga_ls8c_ard_3-0-0_089090_2013-09-18_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2013-10-05 09:18:24	ga_ls8c_ard_3-0-0_089090_2013-10-04_final
2013-10-12 09:24:34	ga_ls8c_ard_3-0-0_090090_2013-10-11_final
2013-10-28 09:24:24	ga_ls8c_ard_3-0-0_090090_2013-10-27_final
2013-12-08 09:18:07	ga_ls8c_ard_3-0-0_089090_2013-12-07_final
2013-12-22 09:30:20	ga_ls8c_ard_3-0-0_091090_2013-12-22_final
2014-01-07 09:30:11	ga_ls8c_ard_3-0-0_091090_2014-01-07_final
2014-01-16 09:23:50	ga_ls8c_ard_3-0-0_090090_2014-01-15_final
2014-01-23 09:30:00	ga_ls8c_ard_3-0-0_091090_2014-01-23_final
2014-01-25 09:17:38	ga_ls8c_ard_3-0-0_089090_2014-01-24_final
2017-10-30 09:29:10	ga_ls8c_ard_3-0-0_091090_2017-10-29_final
2017-10-30 09:29:34	ga_ls8c_ard_3-0-0_091091_2017-10-29_final
2017-11-15 09:29:07	ga_ls8c_ard_3-0-0_091090_2017-11-14_final
2017-11-15 09:29:31	ga_ls8c_ard_3-0-0_091091_2017-11-14_final
2017-11-17 09:16:45	ga_ls8c_ard_3-0-0_089090_2017-11-16_final
2017-12-01 09:29:01	ga_ls8c_ard_3-0-0_091090_2017-11-30_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
2018-01-02 09:29:01	ga_ls8c_ard_3-1-0_091090_2018-01-01_final
2018-01-02 09:29:25	ga_ls8c_ard_3-0-0_091091_2018-01-01_final
2018-01-18 09:28:54	ga_ls8c_ard_3-0-0_091090_2018-01-17_final
2018-01-18 09:29:18	ga_ls8c_ard_3-0-0_091091_2018-01-17_final
2018-11-09 09:34:59	ga_ls8c_ard_3-0-0_092090_2018-11-09_final
2018-11-11 09:22:37	ga_ls8c_ard_3-0-0_090090_2018-11-10_final
2018-11-11 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-10_final
2018-11-18 09:28:48	ga_ls8c_ard_3-0-0_091090_2018-11-17_final
2018-11-18 09:29:12	ga_ls8c_ard_3-0-0_091091_2018-11-17_final
2019-01-05 09:28:44	ga_ls8c_ard_3-0-0_091090_2019-01-04_final
2019-01-05 09:29:08	ga_ls8c_ard_3-0-0_091091_2019-01-04_final
2019-01-12 09:34:54	ga_ls8c_ard_3-0-0_092090_2019-01-12_final
2019-01-14 09:22:32	ga_ls8c_ard_3-0-0_090090_2019-01-13_final
2019-01-14 09:22:56	ga_ls8c_ard_3-0-0_090091_2019-01-13_final
2019-05-04 09:34:29	ga_ls8c_ard_3-0-0_092090_2019-05-04_final
2019-06-21 09:34:54	ga_ls8c_ard_3-1-0_092090_2019-06-21_final
2019-07-07 09:34:58	ga_ls8c_ard_3-1-0_092090_2019-07-07_final
2019-08-08 09:35:09	ga_ls8c_ard_3-1-0_092090_2019-08-08_final
2019-08-17 09:29:01	ga_ls8c_ard_3-1-0_091090_2019-08-16_final
2019-08-17 09:29:25	ga_ls8c_ard_3-1-0_091091_2019-08-16_final
2019-08-19 09:16:40	ga_ls8c_ard_3-1-0_089090_2019-08-18_final
2019-08-24 09:35:13	ga_ls8c_ard_3-1-0_092090_2019-08-24_final
2019-09-25 09:35:23	ga_ls8c_ard_3-1-0_092090_2019-09-25_final
2020-10-06 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-10-05_final
2020-10-06 09:29:35	ga_ls8c_ard_3-1-0_091091_2020-10-05_final
2020-10-08 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-07_final
2020-10-13 09:35:23	ga_ls8c_ard_3-1-0_092090_2020-10-13_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
2020-10-24 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-23_final
2020-10-29 09:35:22	ga_ls8c_ard_3-1-0_092090_2020-10-29_final
2020-10-31 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-10-30_final
2020-10-31 09:23:24	ga_ls8c_ard_3-1-0_090091_2020-10-30_final
2020-11-23 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-11-22_final
2020-11-23 09:29:35	ga_ls8c_ard_3-1-0_091091_2020-11-22_final
2020-12-09 09:29:13	ga_ls8c_ard_3-1-0_091090_2020-12-08_final
2020-12-09 09:29:37	ga_ls8c_ard_3-1-0_091091_2020-12-08_final
2020-12-16 09:35:24	ga_ls8c_ard_3-1-0_092090_2020-12-16_final
2020-12-18 09:23:02	ga_ls8c_ard_3-2-0_090090_2020-12-17_final
2020-12-18 09:23:26	ga_ls8c_ard_3-2-0_090091_2020-12-17_final
2021-01-03 09:23:21	ga_ls8c_ard_3-2-0_090091_2021-01-02_final
2021-01-10 09:29:05	ga_ls8c_ard_3-2-0_091090_2021-01-09_final
2021-01-10 09:29:29	ga_ls8c_ard_3-2-0_091091_2021-01-09_final
2021-01-19 09:23:14	ga_ls8c_ard_3-2-0_090091_2021-01-18_final
2021-01-26 09:29:24	ga_ls8c_ard_3-2-0_091091_2021-01-25_final
2021-02-02 09:35:10	ga_ls8c_ard_3-2-0_092090_2021-02-02_final
2021-02-13 09:16:36	ga_ls8c_ard_3-2-0_089090_2021-02-12_final
2021-02-20 09:22:44	ga_ls8c_ard_3-2-0_090090_2021-02-19_final
2021-02-20 09:23:08	ga_ls8c_ard_3-2-0_090091_2021-02-19_final
2021-03-06 09:34:59	ga_ls8c_ard_3-2-0_092090_2021-03-06_final
2021-03-08 09:23:01	ga_ls8c_ard_3-2-0_090091_2021-03-07_final
2021-03-31 09:29:03	ga_ls8c_ard_3-2-0_091091_2021-03-30_final
2021-04-16 09:28:57	ga_ls8c_ard_3-2-0_091091_2021-04-15_final
2021-04-25 09:22:42	ga_ls8c_ard_3-2-0_090091_2021-04-24_final
2021-05-02 09:28:48	ga_ls8c_ard_3-2-0_091091_2021-05-01_final
2021-05-11 09:22:13	ga_ls8c_ard_3-2-0_090090_2021-05-10_final
2021-05-11 09:22:37	ga_ls8c_ard_3-2-0_090091_2021-05-10_final
2021-05-18 09:28:29	ga_ls8c_ard_3-2-0_091090_2021-05-17_final
2021-05-18 09:28:53	ga_ls8c_ard_3-2-0_091091_2021-05-17_final
2021-05-25 09:34:44	ga_ls8c_ard_3-2-0_092090_2021-05-25_final
2021-05-27 09:22:23	ga_ls8c_ard_3-2-0_090090_2021-05-26_final
2021-05-27 09:22:47	ga_ls8c_ard_3-2-0_090091_2021-05-26_final
2021-06-03 09:28:38	ga_ls8c_ard_3-2-0_091090_2021-06-02_final
2021-06-03 09:29:01	ga_ls8c_ard_3-2-0_091091_2021-06-02_final
2021-06-05 09:16:17	ga_ls8c_ard_3-2-0_089090_2021-06-04_final
2021-06-10 09:34:51	ga_ls8c_ard_3-2-0_092090_2021-06-10_final
2021-06-12 09:22:30	ga_ls8c_ard_3-2-0_090090_2021-06-11_final
2021-06-12 09:22:54	ga_ls8c_ard_3-2-0_090091_2021-06-11_final
2021-06-19 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-06-18_final
2021-06-19 09:29:07	ga_ls8c_ard_3-2-0_091091_2021-06-18_final
2021-06-21 09:16:22	ga_ls8c_ard_3-2-0_089090_2021-06-20_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