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
2014-12-12 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-12_final
2015-02-13 09:14:44	ga_ls8c_ard_3-0-0_089086_2015-02-12_final
2015-02-14 09:57:58	ga_ls8c_ard_3-0-0_096086_2015-02-14_final
2015-02-16 09:45:37	ga_ls8c_ard_3-0-0_094086_2015-02-16_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2015-03-31 09:26:42	ga_ls8c_ard_3-0-0_091086_2015-03-30_final
2015-03-31 09:27:06	ga_ls8c_ard_3-0-0_091087_2015-03-30_final
2016-01-29 09:27:20	ga_ls8c_ard_3-0-0_091086_2016-01-28_final
2016-01-29 09:27:44	ga_ls8c_ard_3-0-0_091087_2016-01-28_final
2016-01-30 10:10:36	ga_ls8c_ard_3-0-0_098086_2016-01-30_final
2016-01-31 09:14:58	ga_ls8c_ard_3-0-0_089086_2016-01-30_final
2016-01-31 09:15:22	ga_ls8c_ard_3-0-0_089087_2016-01-30_final
2016-02-15 10:10:28	ga_ls8c_ard_3-0-0_098086_2016-02-15_final
2016-02-16 09:14:50	ga_ls8c_ard_3-0-0_089086_2016-02-15_final
2016-02-16 09:15:14	ga_ls8c_ard_3-0-0_089087_2016-02-15_final
2016-02-21 09:33:20	ga_ls8c_ard_3-0-0_092086_2016-02-21_final
2016-02-21 09:33:44	ga_ls8c_ard_3-0-0_092087_2016-02-21_final
2016-02-23 09:20:59	ga_ls8c_ard_3-0-0_090086_2016-02-22_final
2016-02-23 09:21:23	ga_ls8c_ard_3-0-0_090087_2016-02-22_final
2016-03-17 09:27:05	ga_ls8c_ard_3-0-0_091086_2016-03-16_final
2016-03-17 09:27:29	ga_ls8c_ard_3-0-0_091087_2016-03-16_final
2016-03-18 10:10:20	ga_ls8c_ard_3-0-0_098086_2016-03-18_final
2016-03-19 09:14:42	ga_ls8c_ard_3-0-0_089086_2016-03-18_final
2016-03-19 09:15:06	ga_ls8c_ard_3-0-0_089087_2016-03-18_final
2016-03-20 09:57:57	ga_ls8c_ard_3-0-0_096086_2016-03-20_final
2016-03-20 09:58:21	ga_ls8c_ard_3-0-0_096087_2016-03-20_final
2016-04-03 10:10:11	ga_ls8c_ard_3-0-0_098086_2016-04-03_final
2016-04-04 09:14:33	ga_ls8c_ard_3-0-0_089086_2016-04-03_final
2016-04-04 09:14:57	ga_ls8c_ard_3-0-0_089087_2016-04-03_final
2016-04-19 10:10:05	ga_ls8c_ard_3-0-0_098086_2016-04-19_final
2016-04-20 09:14:27	ga_ls8c_ard_3-0-0_089086_2016-04-19_final
2016-04-20 09:14:51	ga_ls8c_ard_3-0-0_089087_2016-04-19_final
2016-04-25 09:32:57	ga_ls8c_ard_3-0-0_092086_2016-04-25_final
2016-04-25 09:33:21	ga_ls8c_ard_3-0-0_092087_2016-04-25_final
2016-04-27 09:20:38	ga_ls8c_ard_3-0-0_090086_2016-04-26_final
2016-04-27 09:21:02	ga_ls8c_ard_3-0-0_090087_2016-04-26_final
2016-04-28 10:03:54	ga_ls8c_ard_3-0-0_097086_2016-04-28_final
2018-06-14 09:57:03	ga_ls8c_ard_3-0-0_096086_2018-06-14_final
2018-06-14 09:57:27	ga_ls8c_ard_3-0-0_096087_2018-06-14_final
2018-06-16 09:44:43	ga_ls8c_ard_3-0-0_094086_2018-06-16_final
2018-06-16 09:45:07	ga_ls8c_ard_3-0-0_094087_2018-06-16_final
2018-06-30 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-06-30_final
2018-06-30 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-06-30_final
2018-07-02 09:44:52	ga_ls8c_ard_3-0-0_094086_2018-07-02_final
2018-07-02 09:45:16	ga_ls8c_ard_3-0-0_094087_2018-07-02_final
2018-07-04 09:32:32	ga_ls8c_ard_3-0-0_092086_2018-07-04_final
2018-07-04 09:32:56	ga_ls8c_ard_3-0-0_092087_2018-07-04_final
2018-07-06 09:20:11	ga_ls8c_ard_3-0-0_090086_2018-07-05_final
2018-07-06 09:20:35	ga_ls8c_ard_3-1-0_090087_2018-07-05_final
2018-07-07 10:03:27	ga_ls8c_ard_3-0-0_097086_2018-07-07_final
2018-07-16 09:57:21	ga_ls8c_ard_3-0-0_096086_2018-07-16_final
2018-07-18 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-07-18_final
2018-07-18 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-07-18_final
2018-07-20 09:32:39	ga_ls8c_ard_3-0-0_092086_2018-07-20_final
2018-07-20 09:33:03	ga_ls8c_ard_3-0-0_092087_2018-07-20_final
2018-07-22 09:20:18	ga_ls8c_ard_3-0-0_090086_2018-07-21_final
2018-07-22 09:20:42	ga_ls8c_ard_3-0-0_090087_2018-07-21_final
2018-07-23 10:03:34	ga_ls8c_ard_3-0-0_097086_2018-07-23_final
2018-08-01 09:57:28	ga_ls8c_ard_3-0-0_096086_2018-08-01_final
2018-08-01 09:57:52	ga_ls8c_ard_3-0-0_096087_2018-08-01_final
2018-08-03 09:45:08	ga_ls8c_ard_3-0-0_094086_2018-08-03_final
2018-08-03 09:45:32	ga_ls8c_ard_3-0-0_094087_2018-08-03_final
2018-08-05 09:32:47	ga_ls8c_ard_3-0-0_092086_2018-08-05_final
2018-08-05 09:33:11	ga_ls8c_ard_3-0-0_092087_2018-08-05_final
2018-08-07 09:20:27	ga_ls8c_ard_3-0-0_090086_2018-08-06_final
2018-08-07 09:20:51	ga_ls8c_ard_3-0-0_090087_2018-08-06_final
2018-08-08 10:03:43	ga_ls8c_ard_3-0-0_097086_2018-08-08_final
2018-08-19 09:45:16	ga_ls8c_ard_3-0-0_094086_2018-08-19_final
2018-08-19 09:45:40	ga_ls8c_ard_3-0-0_094087_2018-08-19_final
2018-09-02 09:57:44	ga_ls8c_ard_3-0-0_096086_2018-09-02_final
2018-09-02 09:58:08	ga_ls8c_ard_3-0-0_096087_2018-09-02_final
2018-09-04 09:45:23	ga_ls8c_ard_3-0-0_094086_2018-09-04_final
2018-09-04 09:45:47	ga_ls8c_ard_3-0-0_094087_2018-09-04_final
2019-01-26 09:45:36	ga_ls8c_ard_3-0-0_094086_2019-01-26_final
2019-01-26 09:46:00	ga_ls8c_ard_3-0-0_094087_2019-01-26_final
2019-01-28 09:33:14	ga_ls8c_ard_3-0-0_092086_2019-01-28_final
2019-01-28 09:33:38	ga_ls8c_ard_3-0-0_092087_2019-01-28_final
2019-02-04 09:39:24	ga_ls8c_ard_3-0-0_093086_2019-02-04_final
2019-02-04 09:39:48	ga_ls8c_ard_3-0-0_093087_2019-02-04_final
2019-02-06 09:27:02	ga_ls8c_ard_3-0-0_091086_2019-02-05_final
2019-02-06 09:27:26	ga_ls8c_ard_3-0-0_091087_2019-02-05_final
2019-02-16 10:04:05	ga_ls8c_ard_3-0-0_097086_2019-02-16_final
2019-02-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2019-02-18_final
2019-02-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2019-02-18_final
2019-02-20 09:39:21	ga_ls8c_ard_3-0-0_093086_2019-02-20_final
2019-02-20 09:39:45	ga_ls8c_ard_3-0-0_093087_2019-02-20_final
2019-03-22 09:51:34	ga_ls8c_ard_3-1-0_095086_2019-03-22_final
2019-03-22 09:51:58	ga_ls8c_ard_3-1-0_095087_2019-03-22_final
2019-03-24 09:39:12	ga_ls8c_ard_3-1-0_093086_2019-03-24_final
2019-03-24 09:39:36	ga_ls8c_ard_3-1-0_093087_2019-03-24_final
2019-05-09 09:51:30	ga_ls8c_ard_3-0-0_095086_2019-05-09_final
2019-05-09 09:51:54	ga_ls8c_ard_3-0-0_095087_2019-05-09_final
2019-05-11 09:39:09	ga_ls8c_ard_3-0-0_093086_2019-05-11_final
2019-05-11 09:39:33	ga_ls8c_ard_3-0-0_093087_2019-05-11_final
2019-06-17 09:58:00	ga_ls8c_ard_3-1-0_096086_2019-06-17_final
2019-06-17 09:58:24	ga_ls8c_ard_3-1-0_096087_2019-06-17_final
2019-07-09 09:21:01	ga_ls8c_ard_3-1-0_090086_2019-07-08_final
2019-07-09 09:21:25	ga_ls8c_ard_3-1-0_090087_2019-07-08_final
2019-07-10 10:04:17	ga_ls8c_ard_3-1-0_097086_2019-07-10_final
2019-08-10 09:21:12	ga_ls8c_ard_3-1-0_090086_2019-08-09_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