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
2014-12-16 09:34:22	ga_ls8c_ard_3-0-0_092088_2014-12-16_final
2014-12-16 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-12-16_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2015-01-19 09:21:53	ga_ls8c_ard_3-0-0_090088_2015-01-18_final
2015-01-19 09:22:17	ga_ls8c_ard_3-0-0_090089_2015-01-18_final
2015-01-26 09:28:25	ga_ls8c_ard_3-0-0_091089_2015-01-25_final
2015-03-15 09:28:04	ga_ls8c_ard_3-0-0_091089_2015-03-14_final
2016-01-02 09:46:43	ga_ls8c_ard_3-0-0_094088_2016-01-02_final
2016-01-04 09:34:20	ga_ls8c_ard_3-0-0_092088_2016-01-04_final
2016-01-04 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-04_final
2016-01-06 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-01-05_final
2016-01-06 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-01-05_final
2016-01-09 09:52:51	ga_ls8c_ard_3-0-0_095088_2016-01-09_final
2016-01-11 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-11_final
2016-01-13 09:28:33	ga_ls8c_ard_3-0-0_091089_2016-01-12_final
2016-01-15 09:16:11	ga_ls8c_ard_3-0-0_089089_2016-01-14_final
2016-01-22 09:22:22	ga_ls8c_ard_3-1-0_090089_2016-01-21_final
2016-01-25 09:52:52	ga_ls8c_ard_3-0-0_095088_2016-01-25_final
2016-01-27 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-27_final
2016-01-29 09:28:32	ga_ls8c_ard_3-0-0_091089_2016-01-28_final
2016-01-31 09:15:46	ga_ls8c_ard_3-0-0_089088_2016-01-30_final
2016-01-31 09:16:10	ga_ls8c_ard_3-0-0_089089_2016-01-30_final
2016-02-07 09:21:54	ga_ls8c_ard_3-0-0_090088_2016-02-06_final
2016-02-07 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-02-06_final
2016-02-12 09:40:24	ga_ls8c_ard_3-0-0_093088_2016-02-12_final
2016-02-14 09:28:01	ga_ls8c_ard_3-0-0_091088_2016-02-13_final
2016-02-14 09:28:25	ga_ls8c_ard_3-0-0_091089_2016-02-13_final
2016-02-16 09:15:38	ga_ls8c_ard_3-0-0_089088_2016-02-15_final
2016-02-16 09:16:02	ga_ls8c_ard_3-0-0_089089_2016-02-15_final
2016-02-19 09:46:30	ga_ls8c_ard_3-0-0_094088_2016-02-19_final
2016-02-26 09:52:41	ga_ls8c_ard_3-0-0_095088_2016-02-26_final
2016-03-03 09:15:36	ga_ls8c_ard_3-0-0_089088_2016-03-02_final
2016-03-03 09:16:00	ga_ls8c_ard_3-0-0_089089_2016-03-02_final
2016-03-10 09:22:09	ga_ls8c_ard_3-0-0_090089_2016-03-09_final
2016-03-13 09:52:38	ga_ls8c_ard_3-0-0_095088_2016-03-13_final
2016-03-31 09:40:05	ga_ls8c_ard_3-0-0_093088_2016-03-31_final
2016-04-09 09:33:52	ga_ls8c_ard_3-0-0_092088_2016-04-09_final
2016-04-09 09:34:16	ga_ls8c_ard_3-0-0_092089_2016-04-09_final
2016-04-11 09:21:54	ga_ls8c_ard_3-0-0_090089_2016-04-10_final
2016-11-24 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-11-24_final
2016-11-26 09:40:46	ga_ls8c_ard_3-0-0_093088_2016-11-26_final
2016-12-07 09:22:12	ga_ls8c_ard_3-0-0_090088_2016-12-06_final
2016-12-07 09:22:36	ga_ls8c_ard_3-0-0_090089_2016-12-06_final
2016-12-10 09:53:05	ga_ls8c_ard_3-0-0_095088_2016-12-10_final
2016-12-12 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-12-12_final
2016-12-19 09:46:51	ga_ls8c_ard_3-0-0_094088_2016-12-19_final
2016-12-26 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-12-26_final
2016-12-28 09:40:40	ga_ls8c_ard_3-0-0_093088_2016-12-28_final
2017-01-08 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-01-07_final
2017-01-08 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-01-07_final
2017-01-11 09:52:58	ga_ls8c_ard_3-0-0_095088_2017-01-11_final
2017-01-13 09:40:36	ga_ls8c_ard_3-0-0_093088_2017-01-13_final
2017-01-24 09:22:00	ga_ls8c_ard_3-0-0_090088_2017-01-23_final
2017-01-24 09:22:24	ga_ls8c_ard_3-0-0_090089_2017-01-23_final
2017-01-27 09:52:52	ga_ls8c_ard_3-0-0_095088_2017-01-27_final
2017-02-12 09:52:44	ga_ls8c_ard_3-0-0_095088_2017-02-12_final
2017-02-14 09:40:22	ga_ls8c_ard_3-0-0_093088_2017-02-14_final
2017-02-28 09:52:39	ga_ls8c_ard_3-0-0_095088_2017-02-28_final
2017-03-02 09:40:17	ga_ls8c_ard_3-0-0_093088_2017-03-02_final
2017-03-18 09:40:07	ga_ls8c_ard_3-0-0_093088_2017-03-18_final
2018-10-06 09:46:23	ga_ls8c_ard_3-0-0_094088_2018-10-06_final
2019-01-10 09:46:28	ga_ls8c_ard_3-0-0_094088_2019-01-10_final
2019-06-16 09:15:32	ga_ls8c_ard_3-1-0_089088_2019-06-15_final
2019-06-16 09:15:56	ga_ls8c_ard_3-1-0_089089_2019-06-15_final
2019-06-19 09:46:27	ga_ls8c_ard_3-1-0_094088_2019-06-19_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-06-30 09:28:22	ga_ls8c_ard_3-1-0_091089_2019-06-29_final
2019-07-02 09:15:37	ga_ls8c_ard_3-1-0_089088_2019-07-01_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2019-07-05 09:46:32	ga_ls8c_ard_3-1-0_094088_2019-07-05_final
2019-07-07 09:34:10	ga_ls8c_ard_3-1-0_092088_2019-07-07_final
2019-07-07 09:34:34	ga_ls8c_ard_3-1-0_092089_2019-07-07_final
2019-07-09 09:21:49	ga_ls8c_ard_3-1-0_090088_2019-07-08_final
2019-07-09 09:22:13	ga_ls8c_ard_3-1-0_090089_2019-07-08_final
2019-08-01 09:28:31	ga_ls8c_ard_3-1-0_091089_2019-07-31_final
2019-08-06 09:46:42	ga_ls8c_ard_3-1-0_094088_2019-08-06_final
2019-08-08 09:34:21	ga_ls8c_ard_3-1-0_092088_2019-08-08_final
2019-08-08 09:34:45	ga_ls8c_ard_3-1-0_092089_2019-08-08_final
2019-08-17 09:28:13	ga_ls8c_ard_3-1-0_091088_2019-08-16_final
2019-08-17 09:28:37	ga_ls8c_ard_3-1-0_091089_2019-08-16_final
2019-08-19 09:15:52	ga_ls8c_ard_3-1-0_089088_2019-08-18_final
2019-08-19 09:16:16	ga_ls8c_ard_3-1-0_089089_2019-08-18_final
2019-08-22 09:46:46	ga_ls8c_ard_3-1-0_094088_2019-08-22_final
2019-08-24 09:34:25	ga_ls8c_ard_3-1-0_092088_2019-08-24_final
2019-08-24 09:34:49	ga_ls8c_ard_3-1-0_092089_2019-08-24_final
2019-09-02 09:28:16	ga_ls8c_ard_3-1-0_091088_2019-09-01_final
2019-09-02 09:28:40	ga_ls8c_ard_3-1-0_091089_2019-09-01_final
2019-09-04 09:15:55	ga_ls8c_ard_3-1-0_089088_2019-09-03_final
2019-09-04 09:16:19	ga_ls8c_ard_3-1-0_089089_2019-09-03_final
2019-09-09 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-09-09_final
2019-09-11 09:22:08	ga_ls8c_ard_3-1-0_090088_2019-09-10_final
2019-09-11 09:22:32	ga_ls8c_ard_3-1-0_090089_2019-09-10_final
2019-09-23 09:46:56	ga_ls8c_ard_3-1-0_094088_2019-09-23_final
2019-09-25 09:34:35	ga_ls8c_ard_3-1-0_092088_2019-09-25_final
2019-09-25 09:34:59	ga_ls8c_ard_3-1-0_092089_2019-09-25_final
2019-10-04 09:28:26	ga_ls8c_ard_3-1-0_091088_2019-10-03_final
2019-10-04 09:28:50	ga_ls8c_ard_3-1-0_091089_2019-10-03_final
2019-10-06 09:16:05	ga_ls8c_ard_3-1-0_089088_2019-10-05_final
2019-10-06 09:16:29	ga_ls8c_ard_3-1-0_089089_2019-10-05_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