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
2016-05-18 09:39:36	ga_ls8c_ard_3-0-0_093087_2016-05-18_final
2016-05-18 09:40:00	ga_ls8c_ard_3-0-0_093088_2016-05-18_final
2016-05-20 09:27:16	ga_ls8c_ard_3-0-0_091087_2016-05-19_final
2016-05-20 09:27:40	ga_ls8c_ard_3-0-0_091088_2016-05-19_final
2016-06-19 09:40:09	ga_ls8c_ard_3-0-0_093088_2016-06-19_final
2016-06-21 09:27:25	ga_ls8c_ard_3-0-0_091087_2016-06-20_final
2016-06-21 09:27:49	ga_ls8c_ard_3-0-0_091088_2016-06-20_final
2016-06-24 09:58:21	ga_ls8c_ard_3-0-0_096087_2016-06-24_final
2016-07-09 09:15:13	ga_ls8c_ard_3-0-0_089087_2016-07-08_final
2016-07-09 09:15:37	ga_ls8c_ard_3-0-0_089088_2016-07-08_final
2016-07-10 09:58:29	ga_ls8c_ard_3-0-0_096087_2016-07-10_final
2016-07-21 09:40:01	ga_ls8c_ard_3-0-0_093087_2016-07-21_final
2016-07-21 09:40:25	ga_ls8c_ard_3-0-0_093088_2016-07-21_final
2016-07-23 09:27:40	ga_ls8c_ard_3-0-0_091087_2016-07-22_final
2016-07-23 09:28:03	ga_ls8c_ard_3-0-0_091088_2016-07-22_final
2016-07-25 09:15:18	ga_ls8c_ard_3-0-0_089087_2016-07-24_final
2016-07-25 09:15:42	ga_ls8c_ard_3-0-0_089088_2016-07-24_final
2016-07-26 09:58:34	ga_ls8c_ard_3-0-0_096087_2016-07-26_final
2016-08-01 09:21:30	ga_ls8c_ard_3-0-0_090087_2016-07-31_final
2016-08-01 09:21:54	ga_ls8c_ard_3-0-0_090088_2016-07-31_final
2016-08-06 09:40:03	ga_ls8c_ard_3-0-0_093087_2016-08-06_final
2016-08-06 09:40:27	ga_ls8c_ard_3-0-0_093088_2016-08-06_final
2016-08-08 09:27:42	ga_ls8c_ard_3-0-0_091087_2016-08-07_final
2016-08-08 09:28:06	ga_ls8c_ard_3-0-0_091088_2016-08-07_final
2016-08-10 09:15:20	ga_ls8c_ard_3-0-0_089087_2016-08-09_final
2016-08-10 09:15:44	ga_ls8c_ard_3-0-0_089088_2016-08-09_final
2016-08-11 09:58:36	ga_ls8c_ard_3-0-0_096087_2016-08-11_final
2016-08-24 09:28:12	ga_ls8c_ard_3-0-0_091088_2016-08-23_final
2016-08-26 09:15:51	ga_ls8c_ard_3-0-0_089088_2016-08-25_final
2016-08-27 09:58:43	ga_ls8c_ard_3-0-0_096087_2016-08-27_final
2016-09-07 09:40:38	ga_ls8c_ard_3-0-0_093088_2016-09-07_final
2016-10-09 09:40:20	ga_ls8c_ard_3-0-0_093087_2016-10-09_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-10-11 09:28:23	ga_ls8c_ard_3-0-0_091088_2016-10-10_final
2016-10-13 09:15:38	ga_ls8c_ard_3-0-0_089087_2016-10-12_final
2016-10-13 09:16:02	ga_ls8c_ard_3-0-0_089088_2016-10-12_final
2016-11-24 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-11-24_final
2016-12-12 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-12-12_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
2017-03-13 09:21:38	ga_ls8c_ard_3-0-0_090088_2017-03-12_final
2017-03-18 09:40:07	ga_ls8c_ard_3-0-0_093088_2017-03-18_final
2017-04-05 09:27:37	ga_ls8c_ard_3-0-0_091088_2017-04-04_final
2017-05-07 09:27:00	ga_ls8c_ard_3-0-0_091087_2017-05-06_final
2017-05-07 09:27:24	ga_ls8c_ard_3-0-0_091088_2017-05-06_final
2017-05-25 09:14:51	ga_ls8c_ard_3-0-0_089087_2017-05-24_final
2017-05-25 09:15:15	ga_ls8c_ard_3-0-0_089088_2017-05-24_final
2017-05-26 09:58:07	ga_ls8c_ard_3-0-0_096087_2017-05-26_final
2017-07-10 09:27:28	ga_ls8c_ard_3-0-0_091087_2017-07-09_final
2017-07-10 09:27:52	ga_ls8c_ard_3-0-0_091088_2017-07-09_final
2018-02-19 09:27:51	ga_ls8c_ard_3-0-0_091088_2018-02-18_final
2018-02-21 09:15:29	ga_ls8c_ard_3-0-0_089088_2018-02-20_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-02-26 09:33:59	ga_ls8c_ard_3-0-0_092088_2018-02-26_final
2018-04-01 09:21:20	ga_ls8c_ard_3-0-0_090088_2018-03-31_final
2018-04-04 09:52:13	ga_ls8c_ard_3-0-0_095088_2018-04-04_final
2018-04-24 09:27:18	ga_ls8c_ard_3-0-0_091088_2018-04-23_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-06-07 09:51:11	ga_ls8c_ard_3-0-0_095087_2018-06-07_final
2018-06-07 09:51:35	ga_ls8c_ard_3-0-0_095088_2018-06-07_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-20 09:20:50	ga_ls8c_ard_3-0-0_090088_2018-06-19_final
2018-07-18 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-07-18_final
2018-07-18 09:45:48	ga_ls8c_ard_3-0-0_094088_2018-07-18_final
2018-07-20 09:33:03	ga_ls8c_ard_3-0-0_092087_2018-07-20_final
2018-07-20 09:33:27	ga_ls8c_ard_3-0-0_092088_2018-07-20_final
2018-07-22 09:21:06	ga_ls8c_ard_3-0-0_090088_2018-07-21_final
2019-02-02 09:52:33	ga_ls8c_ard_3-0-0_095088_2019-02-02_final
2019-02-04 09:40:12	ga_ls8c_ard_3-0-0_093088_2019-02-04_final
2019-02-06 09:27:50	ga_ls8c_ard_3-0-0_091088_2019-02-05_final
2019-02-20 09:40:09	ga_ls8c_ard_3-0-0_093088_2019-02-20_final
2019-02-22 09:27:47	ga_ls8c_ard_3-0-0_091088_2019-02-21_final
2019-02-24 09:15:25	ga_ls8c_ard_3-0-0_089088_2019-02-23_final
2019-03-17 09:33:50	ga_ls8c_ard_3-1-0_092088_2019-03-17_final
2019-03-19 09:21:28	ga_ls8c_ard_3-1-0_090088_2019-03-18_final
2019-03-22 09:52:22	ga_ls8c_ard_3-1-0_095088_2019-03-22_final
2019-03-24 09:40:00	ga_ls8c_ard_3-1-0_093088_2019-03-24_final
2019-03-26 09:27:38	ga_ls8c_ard_3-1-0_091088_2019-03-25_final
2019-03-28 09:15:16	ga_ls8c_ard_3-1-0_089088_2019-03-27_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
2019-04-13 09:15:11	ga_ls8c_ard_3-1-0_089088_2019-04-12_final
2019-05-06 09:20:57	ga_ls8c_ard_3-0-0_090087_2019-05-05_final
2019-05-06 09:21:21	ga_ls8c_ard_3-0-0_090088_2019-05-05_final
2019-05-09 09:51:54	ga_ls8c_ard_3-0-0_095087_2019-05-09_final
2019-05-09 09:52:18	ga_ls8c_ard_3-0-0_095088_2019-05-09_final
2019-05-15 09:14:53	ga_ls8c_ard_3-0-0_089087_2019-05-14_final
2019-05-15 09:15:17	ga_ls8c_ard_3-0-0_089088_2019-05-14_final
2019-05-16 09:58:09	ga_ls8c_ard_3-0-0_096087_2019-05-16_final
2019-05-31 09:15:02	ga_ls8c_ard_3-0-0_089087_2019-05-30_final
2019-06-01 09:58:18	ga_ls8c_ard_3-0-0_096087_2019-06-01_final
2019-06-23 09:21:21	ga_ls8c_ard_3-1-0_090087_2019-06-22_final
2019-06-23 09:21:45	ga_ls8c_ard_3-1-0_090088_2019-06-22_final
2019-06-26 09:52:16	ga_ls8c_ard_3-1-0_095087_2019-06-26_final
2019-06-26 09:52:40	ga_ls8c_ard_3-1-0_095088_2019-06-26_final
2019-06-28 09:39:55	ga_ls8c_ard_3-1-0_093087_2019-06-28_final
2019-06-28 09:40:19	ga_ls8c_ard_3-1-0_093088_2019-06-28_final
2019-06-30 09:27:34	ga_ls8c_ard_3-1-0_091087_2019-06-29_final
2019-06-30 09:27:58	ga_ls8c_ard_3-1-0_091088_2019-06-29_final
2019-07-02 09:15:13	ga_ls8c_ard_3-1-0_089087_2019-07-01_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