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
2015-12-28 09:27:24	ga_ls8c_ard_3-0-0_091086_2015-12-27_final
2015-12-28 09:27:48	ga_ls8c_ard_3-0-0_091087_2015-12-27_final
2016-01-04 09:33:32	ga_ls8c_ard_3-0-0_092086_2016-01-04_final
2016-01-04 09:33:56	ga_ls8c_ard_3-0-0_092087_2016-01-04_final
2016-01-06 09:21:10	ga_ls8c_ard_3-0-0_090086_2016-01-05_final
2016-01-06 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-01-05_final
2016-01-07 10:04:25	ga_ls8c_ard_3-0-0_097086_2016-01-07_final
2016-01-13 09:27:21	ga_ls8c_ard_3-0-0_091086_2016-01-12_final
2016-01-13 09:27:45	ga_ls8c_ard_3-0-0_091087_2016-01-12_final
2016-02-01 09:58:13	ga_ls8c_ard_3-0-0_096086_2016-02-01_final
2016-02-01 09:58:37	ga_ls8c_ard_3-0-0_096087_2016-02-01_final
2016-02-14 09:27:13	ga_ls8c_ard_3-1-0_091086_2016-02-13_final
2016-02-14 09:27:37	ga_ls8c_ard_3-0-0_091087_2016-02-13_final
2016-03-01 09:27:10	ga_ls8c_ard_3-0-0_091086_2016-02-29_final
2016-03-01 09:27:34	ga_ls8c_ard_3-0-0_091087_2016-02-29_final
2018-11-25 09:33:23	ga_ls8c_ard_3-0-0_092086_2018-11-25_final
2018-11-25 09:33:47	ga_ls8c_ard_3-0-0_092087_2018-11-25_final
2018-11-27 09:21:01	ga_ls8c_ard_3-0-0_090086_2018-11-26_final
2018-11-27 09:21:25	ga_ls8c_ard_3-0-0_090087_2018-11-26_final
2018-12-14 10:04:13	ga_ls8c_ard_3-0-0_097086_2018-12-14_final
2018-12-30 10:04:14	ga_ls8c_ard_3-0-0_097086_2018-12-30_final
2019-01-12 09:33:18	ga_ls8c_ard_3-0-0_092086_2019-01-12_final
2019-01-12 09:33:42	ga_ls8c_ard_3-0-0_092087_2019-01-12_final
2019-01-14 09:20:56	ga_ls8c_ard_3-0-0_090086_2019-01-13_final
2019-01-14 09:21:20	ga_ls8c_ard_3-0-0_090087_2019-01-13_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
2019-02-15 09:20:50	ga_ls8c_ard_3-0-0_090086_2019-02-14_final
2019-02-15 09:21:14	ga_ls8c_ard_3-0-0_090087_2019-02-14_final
2019-02-16 10:04:05	ga_ls8c_ard_3-0-0_097086_2019-02-16_final
2019-03-20 10:03:56	ga_ls8c_ard_3-1-0_097086_2019-03-20_final
2019-05-06 09:20:33	ga_ls8c_ard_3-0-0_090086_2019-05-05_final
2019-05-06 09:20:57	ga_ls8c_ard_3-0-0_090087_2019-05-05_final
2019-05-07 10:03:50	ga_ls8c_ard_3-0-0_097086_2019-05-07_final
2019-05-22 09:20:44	ga_ls8c_ard_3-0-0_090086_2019-05-21_final
2019-05-22 09:21:08	ga_ls8c_ard_3-0-0_090087_2019-05-21_final
2019-05-23 10:04:00	ga_ls8c_ard_3-0-0_097086_2019-05-23_final
2019-11-06 10:10:55	ga_ls8c_ard_3-1-0_098086_2019-11-06_final
2019-11-07 09:15:17	ga_ls8c_ard_3-1-0_089086_2019-11-06_final
2019-11-07 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-11-06_final
2019-11-12 09:33:49	ga_ls8c_ard_3-1-0_092086_2019-11-12_final
2019-11-12 09:34:13	ga_ls8c_ard_3-1-0_092087_2019-11-12_final
2019-11-14 09:21:26	ga_ls8c_ard_3-1-0_090086_2019-11-13_final
2019-11-14 09:21:50	ga_ls8c_ard_3-1-0_090087_2019-11-13_final
2019-11-15 10:04:42	ga_ls8c_ard_3-1-0_097086_2019-11-15_final
2019-11-22 10:10:51	ga_ls8c_ard_3-1-0_098086_2019-11-22_final
2019-11-23 09:15:14	ga_ls8c_ard_3-1-0_089086_2019-11-22_final
2019-11-23 09:15:38	ga_ls8c_ard_3-1-0_089087_2019-11-22_final
2019-12-23 09:27:32	ga_ls8c_ard_3-1-0_091086_2019-12-22_final
2019-12-23 09:27:56	ga_ls8c_ard_3-1-0_091087_2019-12-22_final
2019-12-24 10:10:48	ga_ls8c_ard_3-1-0_098086_2019-12-24_final
2019-12-25 09:15:10	ga_ls8c_ard_3-1-0_089086_2019-12-24_final
2019-12-25 09:15:34	ga_ls8c_ard_3-1-0_089087_2019-12-24_final
2019-12-26 09:58:25	ga_ls8c_ard_3-1-0_096086_2019-12-26_final
2019-12-26 09:58:49	ga_ls8c_ard_3-1-0_096087_2019-12-26_final
2020-01-09 10:10:44	ga_ls8c_ard_3-1-0_098086_2020-01-09_final
2020-01-10 09:15:06	ga_ls8c_ard_3-1-0_089086_2020-01-09_final
2020-01-10 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-01-09_final
2020-01-15 09:33:38	ga_ls8c_ard_3-1-0_092086_2020-01-15_final
2020-01-15 09:34:01	ga_ls8c_ard_3-1-0_092087_2020-01-15_final
2020-01-17 09:21:39	ga_ls8c_ard_3-1-0_090087_2020-01-16_final
2020-01-18 10:04:31	ga_ls8c_ard_3-1-0_097086_2020-01-18_final
2020-01-25 10:10:40	ga_ls8c_ard_3-1-0_098086_2020-01-25_final
2020-01-26 09:15:02	ga_ls8c_ard_3-1-0_089086_2020-01-25_final
2020-01-26 09:15:26	ga_ls8c_ard_3-1-0_089087_2020-01-25_final
2020-03-01 09:46:10	ga_ls8c_ard_3-1-0_094087_2020-03-01_final
2020-03-03 09:33:24	ga_ls8c_ard_3-1-0_092086_2020-03-03_final
2020-03-03 09:33:48	ga_ls8c_ard_3-1-0_092087_2020-03-03_final
2020-03-12 09:27:09	ga_ls8c_ard_3-1-0_091086_2020-03-11_final
2020-03-12 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-03-11_final
2020-03-15 09:58:26	ga_ls8c_ard_3-1-0_096087_2020-03-15_final
2020-03-17 09:45:39	ga_ls8c_ard_3-1-0_094086_2020-03-17_final
2020-03-17 09:46:03	ga_ls8c_ard_3-1-0_094087_2020-03-17_final
2020-03-22 10:04:09	ga_ls8c_ard_3-1-0_097086_2020-03-22_final
2020-03-24 09:51:46	ga_ls8c_ard_3-1-0_095086_2020-03-24_final
2020-03-24 09:52:10	ga_ls8c_ard_3-1-0_095087_2020-03-24_final
2020-03-26 09:39:23	ga_ls8c_ard_3-1-0_093086_2020-03-26_final
2020-03-26 09:39:47	ga_ls8c_ard_3-1-0_093087_2020-03-26_final
2020-04-02 09:45:30	ga_ls8c_ard_3-1-0_094086_2020-04-02_final
2020-04-02 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-04-02_final
2020-04-04 09:33:07	ga_ls8c_ard_3-1-0_092086_2020-04-04_final
2020-04-04 09:33:31	ga_ls8c_ard_3-1-0_092087_2020-04-04_final
2020-04-29 09:27:09	ga_ls8c_ard_3-1-0_091087_2020-04-28_final
2020-05-02 09:57:38	ga_ls8c_ard_3-1-0_096086_2020-05-02_final
2020-05-02 09:58:02	ga_ls8c_ard_3-1-0_096087_2020-05-02_final
2020-05-04 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-04_final
2020-05-06 09:32:52	ga_ls8c_ard_3-1-0_092086_2020-05-06_final
2020-05-06 09:33:16	ga_ls8c_ard_3-1-0_092087_2020-05-06_final
2020-05-08 09:20:29	ga_ls8c_ard_3-1-0_090086_2020-05-07_final
2020-05-08 09:20:53	ga_ls8c_ard_3-1-0_090087_2020-05-07_final
2020-05-09 10:03:44	ga_ls8c_ard_3-1-0_097086_2020-05-09_final
2020-05-11 09:51:23	ga_ls8c_ard_3-1-0_095086_2020-05-11_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_final
2020-05-13 09:39:02	ga_ls8c_ard_3-1-0_093086_2020-05-13_final
2020-05-13 09:39:26	ga_ls8c_ard_3-1-0_093087_2020-05-13_final
2020-05-18 09:57:36	ga_ls8c_ard_3-1-0_096086_2020-05-18_final
2020-05-18 09:58:00	ga_ls8c_ard_3-1-0_096087_2020-05-18_final
2020-05-20 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-20_final
2020-05-20 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-20_final
2020-06-19 09:57:51	ga_ls8c_ard_3-1-0_096086_2020-06-19_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