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:

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First 100 results (query limit)

Time (local)	Label
2014-02-15 09:35:06	ga_ls8c_ard_3-0-0_092088_2014-02-15_final
2014-02-17 09:22:43	ga_ls8c_ard_3-0-0_090088_2014-02-16_final
2014-03-19 09:34:42	ga_ls8c_ard_3-0-0_092088_2014-03-19_final
2014-03-21 09:22:18	ga_ls8c_ard_3-0-0_090088_2014-03-20_final
2014-03-26 09:40:43	ga_ls8c_ard_3-0-0_093088_2014-03-26_final
2014-03-28 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-03-27_final
2014-04-11 09:40:30	ga_ls8c_ard_3-0-0_093088_2014-04-11_final
2014-04-13 09:28:06	ga_ls8c_ard_3-0-0_091088_2014-04-12_final
2014-05-15 09:27:37	ga_ls8c_ard_3-0-0_091088_2014-05-14_final
2014-06-09 09:21:34	ga_ls8c_ard_3-0-0_090088_2014-06-08_final
2014-06-23 09:33:58	ga_ls8c_ard_3-0-0_092088_2014-06-23_final
2014-06-25 09:21:36	ga_ls8c_ard_3-0-0_090088_2014-06-24_final
2016-09-14 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-14_final
2016-10-23 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-10-23_final
2016-10-25 09:40:47	ga_ls8c_ard_3-0-0_093088_2016-10-25_final
2016-11-01 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-01_final
2016-11-08 09:53:07	ga_ls8c_ard_3-0-0_095088_2016-11-08_final
2016-11-10 09:40:45	ga_ls8c_ard_3-0-0_093088_2016-11-10_final
2016-12-21 09:34:29	ga_ls8c_ard_3-0-0_092088_2016-12-21_final
2016-12-23 09:22:07	ga_ls8c_ard_3-0-0_090088_2016-12-22_final
2017-02-07 09:34:14	ga_ls8c_ard_3-0-0_092088_2017-02-07_final
2017-02-09 09:21:51	ga_ls8c_ard_3-0-0_090088_2017-02-08_final
2017-09-17 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-09-17_final
2017-09-19 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-09-19_final
2018-02-15 09:52:36	ga_ls8c_ard_3-0-0_095088_2018-02-15_final
2018-02-17 09:40:13	ga_ls8c_ard_3-0-0_093088_2018-02-17_final
2018-03-03 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-03-03_final
2018-03-05 09:40:06	ga_ls8c_ard_3-0-0_093088_2018-03-05_final
2018-04-04 09:52:13	ga_ls8c_ard_3-0-0_095088_2018-04-04_final
2018-04-06 09:39:50	ga_ls8c_ard_3-0-0_093088_2018-04-06_final
2018-04-13 09:45:57	ga_ls8c_ard_3-0-0_094088_2018-04-13_final
2018-04-20 09:52:03	ga_ls8c_ard_3-0-0_095088_2018-04-20_final
2018-04-22 09:39:40	ga_ls8c_ard_3-0-0_093088_2018-04-22_final
2018-05-06 09:51:54	ga_ls8c_ard_3-0-0_095088_2018-05-06_final
2018-05-08 09:39:31	ga_ls8c_ard_3-0-0_093088_2018-05-08_final
2018-06-16 09:45:31	ga_ls8c_ard_3-0-0_094088_2018-06-16_final
2018-06-29 09:14:45	ga_ls8c_ard_3-0-0_089088_2018-06-28_final
2018-07-02 09:45:40	ga_ls8c_ard_3-0-0_094088_2018-07-02_final
2018-07-15 09:14:53	ga_ls8c_ard_3-0-0_089088_2018-07-14_final
2018-08-19 09:46:04	ga_ls8c_ard_3-0-0_094088_2018-08-19_final
2018-09-04 09:46:11	ga_ls8c_ard_3-0-0_094088_2018-09-04_final
2019-01-26 09:46:24	ga_ls8c_ard_3-0-0_094088_2019-01-26_final
2019-01-28 09:34:02	ga_ls8c_ard_3-0-0_092088_2019-01-28_final
2019-02-08 09:15:28	ga_ls8c_ard_3-0-0_089088_2019-02-07_final
2019-02-11 09:46:22	ga_ls8c_ard_3-0-0_094088_2019-02-11_final
2019-02-13 09:34:00	ga_ls8c_ard_3-0-0_092088_2019-02-13_final
2019-02-15 09:21:38	ga_ls8c_ard_3-0-0_090088_2019-02-14_final
2019-02-18 09:52:31	ga_ls8c_ard_3-0-0_095088_2019-02-18_final
2019-02-20 09:40:09	ga_ls8c_ard_3-0-0_093088_2019-02-20_final
2019-02-24 09:15:25	ga_ls8c_ard_3-0-0_089088_2019-02-23_final
2019-03-06 09:52:27	ga_ls8c_ard_3-0-0_095088_2019-03-06_final
2019-03-08 09:40:04	ga_ls8c_ard_3-1-0_093088_2019-03-08_final
2019-03-19 09:21:28	ga_ls8c_ard_3-1-0_090088_2019-03-18_final
2019-03-31 09:46:09	ga_ls8c_ard_3-1-0_094088_2019-03-31_final
2019-04-02 09:33:47	ga_ls8c_ard_3-1-0_092088_2019-04-02_final
2019-04-04 09:21:25	ga_ls8c_ard_3-1-0_090088_2019-04-03_final
2019-04-07 09:52:18	ga_ls8c_ard_3-1-0_095088_2019-04-07_final
2019-04-09 09:39:56	ga_ls8c_ard_3-1-0_093088_2019-04-09_final
2019-05-06 09:21:21	ga_ls8c_ard_3-0-0_090088_2019-05-05_final
2019-05-18 09:46:13	ga_ls8c_ard_3-0-0_094088_2019-05-18_final
2019-05-20 09:33:52	ga_ls8c_ard_3-0-0_092088_2019-05-20_final
2019-05-22 09:21:32	ga_ls8c_ard_3-0-0_090088_2019-05-21_final
2019-05-25 09:52:27	ga_ls8c_ard_3-0-0_095088_2019-05-25_final
2019-05-27 09:40:07	ga_ls8c_ard_3-0-0_093088_2019-05-27_final
2019-05-31 09:15:26	ga_ls8c_ard_3-0-0_089088_2019-05-30_final
2019-06-10 09:52:35	ga_ls8c_ard_3-0-0_095088_2019-06-10_final
2019-06-12 09:40:14	ga_ls8c_ard_3-1-0_093088_2019-06-12_final
2019-08-29 09:52:59	ga_ls8c_ard_3-1-0_095088_2019-08-29_final
2019-08-31 09:40:38	ga_ls8c_ard_3-1-0_093088_2019-08-31_final
2019-09-14 09:53:03	ga_ls8c_ard_3-1-0_095088_2019-09-14_final
2019-09-16 09:40:43	ga_ls8c_ard_3-1-0_093088_2019-09-16_final
2019-10-09 09:46:59	ga_ls8c_ard_3-1-0_094088_2019-10-09_final
2019-10-11 09:34:38	ga_ls8c_ard_3-1-0_092088_2019-10-11_final
2019-10-16 09:53:11	ga_ls8c_ard_3-1-0_095088_2019-10-16_final
2019-10-18 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-10-18_final
2019-10-25 09:47:00	ga_ls8c_ard_3-1-0_094088_2019-10-25_final
2020-03-19 09:34:04	ga_ls8c_ard_3-1-0_092088_2020-03-19_final
2020-03-21 09:21:42	ga_ls8c_ard_3-1-0_090088_2020-03-20_final
2020-04-06 09:21:33	ga_ls8c_ard_3-1-0_090088_2020-04-05_final
2020-04-22 09:21:26	ga_ls8c_ard_3-1-0_090088_2020-04-21_final
2020-05-22 09:33:41	ga_ls8c_ard_3-1-0_092088_2020-05-22_final
2020-05-24 09:21:20	ga_ls8c_ard_3-1-0_090088_2020-05-23_final
2020-06-30 09:40:12	ga_ls8c_ard_3-1-0_093088_2020-06-30_final
2020-07-02 09:27:51	ga_ls8c_ard_3-1-0_091088_2020-07-01_final
2020-07-04 09:15:31	ga_ls8c_ard_3-1-0_089088_2020-07-03_final
2020-07-11 09:21:44	ga_ls8c_ard_3-1-0_090088_2020-07-10_final
2020-07-14 09:52:39	ga_ls8c_ard_3-1-0_095088_2020-07-14_final
2020-07-16 09:40:18	ga_ls8c_ard_3-1-0_093088_2020-07-16_final
2020-07-18 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-07-17_final
2020-07-20 09:15:36	ga_ls8c_ard_3-1-0_089088_2020-07-19_final
2020-08-03 09:28:01	ga_ls8c_ard_3-1-0_091088_2020-08-02_final
2020-08-05 09:15:40	ga_ls8c_ard_3-1-0_089088_2020-08-04_final
2020-08-08 09:46:35	ga_ls8c_ard_3-1-0_094088_2020-08-08_final
2020-08-10 09:34:13	ga_ls8c_ard_3-1-0_092088_2020-08-10_final
2020-08-19 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-08-18_final
2020-08-24 09:46:42	ga_ls8c_ard_3-1-0_094088_2020-08-24_final
2020-09-02 09:40:35	ga_ls8c_ard_3-1-0_093088_2020-09-02_final
2020-09-04 09:28:15	ga_ls8c_ard_3-1-0_091088_2020-09-03_final
2020-09-06 09:15:54	ga_ls8c_ard_3-1-0_089088_2020-09-05_final
2020-09-13 09:22:07	ga_ls8c_ard_3-1-0_090088_2020-09-12_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