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
2015-01-08 09:40:29	ga_ls8c_ard_3-0-0_093088_2015-01-08_final
2015-01-17 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-17_final
2015-01-17 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-17_final
2015-01-24 09:40:22	ga_ls8c_ard_3-0-0_093088_2015-01-24_final
2015-02-25 09:40:14	ga_ls8c_ard_3-0-0_093088_2015-02-25_final
2015-03-01 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-02-28_final
2015-03-01 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-02-28_final
2015-03-11 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-03-11_final
2015-04-12 09:52:10	ga_ls8c_ard_3-0-0_095088_2015-04-12_final
2015-12-30 09:15:49	ga_ls8c_ard_3-0-0_089088_2015-12-29_final
2015-12-30 09:16:13	ga_ls8c_ard_3-0-0_089089_2015-12-29_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
2016-01-18 09:46:42	ga_ls8c_ard_3-0-0_094088_2016-01-18_final
2016-01-20 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-20_final
2016-02-05 09:34:41	ga_ls8c_ard_3-0-0_092089_2016-02-05_final
2016-02-21 09:34:08	ga_ls8c_ard_3-0-0_092088_2016-02-21_final
2016-02-21 09:34:32	ga_ls8c_ard_3-0-0_092089_2016-02-21_final
2016-02-23 09:22:11	ga_ls8c_ard_3-0-0_090089_2016-02-22_final
2016-03-06 09:46:29	ga_ls8c_ard_3-0-0_094088_2016-03-06_final
2016-03-08 09:34:07	ga_ls8c_ard_3-0-0_092088_2016-03-08_final
2016-03-08 09:34:31	ga_ls8c_ard_3-0-0_092089_2016-03-08_final
2016-03-22 09:46:23	ga_ls8c_ard_3-0-0_094088_2016-03-22_final
2016-03-24 09:34:00	ga_ls8c_ard_3-0-0_092088_2016-03-24_final
2016-03-24 09:34:24	ga_ls8c_ard_3-0-0_092089_2016-03-24_final
2016-04-20 09:15:15	ga_ls8c_ard_3-0-0_089088_2016-04-19_final
2016-04-20 09:15:39	ga_ls8c_ard_3-0-0_089089_2016-04-19_final
2016-04-25 09:33:45	ga_ls8c_ard_3-0-0_092088_2016-04-25_final
2016-04-25 09:34:09	ga_ls8c_ard_3-0-0_092089_2016-04-25_final
2016-04-27 09:21:50	ga_ls8c_ard_3-0-0_090089_2016-04-26_final
2017-04-12 09:33:44	ga_ls8c_ard_3-0-0_092088_2017-04-12_final
2017-04-12 09:34:08	ga_ls8c_ard_3-0-0_092089_2017-04-12_final
2017-04-14 09:21:21	ga_ls8c_ard_3-0-0_090088_2017-04-13_final
2017-04-14 09:21:45	ga_ls8c_ard_3-0-0_090089_2017-04-13_final
2017-07-01 09:34:02	ga_ls8c_ard_3-0-0_092088_2017-07-01_final
2017-07-01 09:34:26	ga_ls8c_ard_3-0-0_092089_2017-07-01_final
2017-07-03 09:21:40	ga_ls8c_ard_3-0-0_090088_2017-07-02_final
2017-07-03 09:22:04	ga_ls8c_ard_3-0-0_090089_2017-07-02_final
2017-10-26 09:53:06	ga_ls8c_ard_3-0-0_095088_2017-10-26_final
2017-10-28 09:40:44	ga_ls8c_ard_3-0-0_093088_2017-10-28_final
2017-11-04 09:46:54	ga_ls8c_ard_3-0-0_094088_2017-11-04_final
2017-11-06 09:34:32	ga_ls8c_ard_3-0-0_092088_2017-11-06_final
2017-11-08 09:22:10	ga_ls8c_ard_3-0-0_090088_2017-11-07_final
2017-11-08 09:22:34	ga_ls8c_ard_3-0-0_090089_2017-11-07_final
2017-11-11 09:53:03	ga_ls8c_ard_3-0-0_095088_2017-11-11_final
2017-11-13 09:40:41	ga_ls8c_ard_3-0-0_093088_2017-11-13_final
2017-11-20 09:46:50	ga_ls8c_ard_3-0-0_094088_2017-11-20_final
2017-11-27 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-11-27_final
2017-11-29 09:40:35	ga_ls8c_ard_3-0-0_093088_2017-11-29_final
2017-12-06 09:46:45	ga_ls8c_ard_3-0-0_094088_2017-12-06_final
2017-12-13 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-12-13_final
2017-12-15 09:40:36	ga_ls8c_ard_3-0-0_093088_2017-12-15_final
2017-12-22 09:46:48	ga_ls8c_ard_3-0-0_094088_2017-12-22_final
2017-12-29 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-12-29_final
2018-01-07 09:46:43	ga_ls8c_ard_3-0-0_094088_2018-01-07_final
2018-01-14 09:52:51	ga_ls8c_ard_3-0-0_095088_2018-01-14_final
2018-01-16 09:40:28	ga_ls8c_ard_3-0-0_093088_2018-01-16_final
2018-01-23 09:46:35	ga_ls8c_ard_3-0-0_094088_2018-01-23_final
2018-02-03 09:28:20	ga_ls8c_ard_3-0-0_091089_2018-02-02_final
2018-02-05 09:15:34	ga_ls8c_ard_3-0-0_089088_2018-02-04_final
2018-02-05 09:15:58	ga_ls8c_ard_3-0-0_089089_2018-02-04_final
2018-02-10 09:34:29	ga_ls8c_ard_3-0-0_092089_2018-02-10_final
2018-02-12 09:21:43	ga_ls8c_ard_3-0-0_090088_2018-02-11_final
2018-02-12 09:22:07	ga_ls8c_ard_3-0-0_090089_2018-02-11_final
2018-02-19 09:28:15	ga_ls8c_ard_3-0-0_091089_2018-02-18_final
2018-02-21 09:15:29	ga_ls8c_ard_3-0-0_089088_2018-02-20_final
2018-02-21 09:15:52	ga_ls8c_ard_3-0-0_089089_2018-02-20_final
2018-03-07 09:28:07	ga_ls8c_ard_3-1-0_091089_2018-03-06_final
2018-03-09 09:15:20	ga_ls8c_ard_3-0-0_089088_2018-03-08_final
2018-03-09 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-03-08_final
2018-03-14 09:34:13	ga_ls8c_ard_3-0-0_092089_2018-03-14_final
2018-03-16 09:21:51	ga_ls8c_ard_3-0-0_090089_2018-03-15_final
2018-03-23 09:27:59	ga_ls8c_ard_3-1-0_091089_2018-03-22_final
2018-03-25 09:15:13	ga_ls8c_ard_3-0-0_089088_2018-03-24_final
2018-03-25 09:15:37	ga_ls8c_ard_3-0-0_089089_2018-03-24_final
2018-04-08 09:27:51	ga_ls8c_ard_3-0-0_091089_2018-04-07_final
2018-04-10 09:15:05	ga_ls8c_ard_3-0-0_089088_2018-04-09_final
2018-04-10 09:15:28	ga_ls8c_ard_3-0-0_089089_2018-04-09_final
2018-04-15 09:33:34	ga_ls8c_ard_3-0-0_092088_2018-04-15_final
2018-04-15 09:33:58	ga_ls8c_ard_3-0-0_092089_2018-04-15_final
2018-04-17 09:21:11	ga_ls8c_ard_3-0-0_090088_2018-04-16_final
2018-04-17 09:21:35	ga_ls8c_ard_3-0-0_090089_2018-04-16_final
2018-04-24 09:27:42	ga_ls8c_ard_3-1-0_091089_2018-04-23_final
2018-05-01 09:33:49	ga_ls8c_ard_3-0-0_092089_2018-05-01_final
2018-05-08 09:39:31	ga_ls8c_ard_3-0-0_093088_2018-05-08_final
2018-05-10 09:27:32	ga_ls8c_ard_3-1-0_091089_2018-05-09_final
2018-05-12 09:15:10	ga_ls8c_ard_3-0-0_089089_2018-05-11_final
2018-05-17 09:33:38	ga_ls8c_ard_3-0-0_092089_2018-05-17_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2019-02-27 09:46:18	ga_ls8c_ard_3-0-0_094088_2019-02-27_final
2019-06-03 09:46:21	ga_ls8c_ard_3-0-0_094088_2019-06-03_final
2021-10-14 09:47:02	ga_ls8c_ard_3-2-0_094088_2021-10-14_final
2021-10-16 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-10-16_final
2021-10-16 09:35:04	ga_ls8c_ard_3-2-0_092089_2021-10-16_final
2021-10-18 09:22:19	ga_ls8c_ard_3-2-0_090088_2021-10-17_final
2021-10-18 09:22:43	ga_ls8c_ard_3-2-0_090089_2021-10-17_final
2021-10-21 09:53:13	ga_ls8c_ard_3-2-0_095088_2021-10-21_final
2021-10-23 09:40:52	ga_ls8c_ard_3-2-0_093088_2021-10-23_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