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
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-07-20 09:16:23	ga_ls8c_ard_3-0-0_089090_2014-07-19_final
2014-07-27 09:22:35	ga_ls8c_ard_3-0-0_090090_2014-07-26_final
2014-08-05 09:16:31	ga_ls8c_ard_3-0-0_089090_2014-08-04_final
2014-08-12 09:22:44	ga_ls8c_ard_3-0-0_090090_2014-08-11_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-08-21 09:16:35	ga_ls8c_ard_3-0-0_089090_2014-08-20_final
2014-09-04 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-03_final
2014-09-06 09:16:38	ga_ls8c_ard_3-0-0_089090_2014-09-05_final
2014-09-20 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-19_final
2014-10-15 09:22:55	ga_ls8c_ard_3-0-0_090090_2014-10-14_final
2014-11-07 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-11-06_final
2014-11-16 09:22:54	ga_ls8c_ard_3-0-0_090090_2014-11-15_final
2014-11-23 09:29:02	ga_ls8c_ard_3-0-0_091090_2014-11-22_final
2016-01-06 09:23:09	ga_ls8c_ard_3-0-0_090091_2016-01-05_final
2016-01-29 09:29:20	ga_ls8c_ard_3-0-0_091091_2016-01-28_final
2016-05-22 09:16:07	ga_ls8c_ard_3-0-0_089090_2016-05-21_final
2016-05-27 09:34:41	ga_ls8c_ard_3-0-0_092090_2016-05-27_final
2016-05-29 09:22:20	ga_ls8c_ard_3-0-0_090090_2016-05-28_final
2016-05-29 09:22:44	ga_ls8c_ard_3-0-0_090091_2016-05-28_final
2016-06-12 09:34:44	ga_ls8c_ard_3-0-0_092090_2016-06-12_final
2016-06-14 09:22:23	ga_ls8c_ard_3-0-0_090090_2016-06-13_final
2016-06-14 09:22:47	ga_ls8c_ard_3-0-0_090091_2016-06-13_final
2016-07-25 09:16:30	ga_ls8c_ard_3-0-0_089090_2016-07-24_final
2016-08-15 09:35:07	ga_ls8c_ard_3-0-0_092090_2016-08-15_final
2016-08-17 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-08-16_final
2016-08-17 09:23:10	ga_ls8c_ard_3-0-0_090091_2016-08-16_final
2016-08-24 09:29:00	ga_ls8c_ard_3-0-0_091090_2016-08-23_final
2016-08-24 09:29:24	ga_ls8c_ard_3-0-0_091091_2016-08-23_final
2016-08-26 09:16:39	ga_ls8c_ard_3-0-0_089090_2016-08-25_final
2016-08-31 09:35:14	ga_ls8c_ard_3-0-0_092090_2016-08-31_final
2016-09-02 09:22:53	ga_ls8c_ard_3-0-0_090090_2016-09-01_final
2016-09-02 09:23:17	ga_ls8c_ard_3-0-0_090091_2016-09-01_final
2016-09-09 09:29:05	ga_ls8c_ard_3-0-0_091090_2016-09-08_final
2016-09-09 09:29:29	ga_ls8c_ard_3-0-0_091091_2016-09-08_final
2016-09-25 09:29:06	ga_ls8c_ard_3-0-0_091090_2016-09-24_final
2016-09-25 09:29:30	ga_ls8c_ard_3-0-0_091091_2016-09-24_final
2016-10-02 09:35:18	ga_ls8c_ard_3-0-0_092090_2016-10-02_final
2016-10-11 09:29:10	ga_ls8c_ard_3-0-0_091090_2016-10-10_final
2016-10-11 09:29:34	ga_ls8c_ard_3-0-0_091091_2016-10-10_final
2016-10-13 09:16:50	ga_ls8c_ard_3-0-0_089090_2016-10-12_final
2016-10-18 09:35:23	ga_ls8c_ard_3-0-0_092090_2016-10-18_final
2016-10-20 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-10-19_final
2016-10-20 09:23:26	ga_ls8c_ard_3-0-0_090091_2016-10-19_final
2016-10-27 09:29:13	ga_ls8c_ard_3-0-0_091090_2016-10-26_final
2016-10-27 09:29:37	ga_ls8c_ard_3-0-0_091091_2016-10-26_final
2016-11-12 09:29:12	ga_ls8c_ard_3-0-0_091090_2016-11-11_final
2016-11-12 09:29:36	ga_ls8c_ard_3-0-0_091091_2016-11-11_final
2016-11-14 09:16:50	ga_ls8c_ard_3-0-0_089090_2016-11-13_final
2016-11-21 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-20_final
2016-11-21 09:23:26	ga_ls8c_ard_3-0-0_090091_2016-11-20_final
2016-12-05 09:35:22	ga_ls8c_ard_3-0-0_092090_2016-12-05_final
2016-12-16 09:16:46	ga_ls8c_ard_3-0-0_089090_2016-12-15_final
2017-01-15 09:29:26	ga_ls8c_ard_3-0-0_091091_2017-01-14_final
2017-01-17 09:16:39	ga_ls8c_ard_3-0-0_089090_2017-01-16_final
2017-01-22 09:35:10	ga_ls8c_ard_3-0-0_092090_2017-01-22_final
2017-05-09 09:15:52	ga_ls8c_ard_3-0-0_089090_2017-05-08_final
2017-07-12 09:16:19	ga_ls8c_ard_3-0-0_089090_2017-07-11_final
2017-07-17 09:34:53	ga_ls8c_ard_3-0-0_092090_2017-07-17_final
2017-07-19 09:22:33	ga_ls8c_ard_3-0-0_090090_2017-07-18_final
2017-07-19 09:22:57	ga_ls8c_ard_3-0-0_090091_2017-07-18_final
2017-08-02 09:35:01	ga_ls8c_ard_3-0-0_092090_2017-08-02_final
2017-08-04 09:22:40	ga_ls8c_ard_3-0-0_090090_2017-08-03_final
2017-08-04 09:23:04	ga_ls8c_ard_3-0-0_090091_2017-08-03_final
2017-08-13 09:16:33	ga_ls8c_ard_3-0-0_089090_2017-08-12_final
2017-09-03 09:35:09	ga_ls8c_ard_3-0-0_092090_2017-09-03_final
2017-09-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2017-09-29_final
2017-10-05 09:35:18	ga_ls8c_ard_3-0-0_092090_2017-10-05_final
2017-10-07 09:22:57	ga_ls8c_ard_3-0-0_090090_2017-10-06_final
2017-10-07 09:23:21	ga_ls8c_ard_3-0-0_090091_2017-10-06_final
2018-02-12 09:22:55	ga_ls8c_ard_3-0-0_090091_2018-02-11_final
2018-02-28 09:22:48	ga_ls8c_ard_3-0-0_090091_2018-02-27_final
2018-03-16 09:22:39	ga_ls8c_ard_3-0-0_090091_2018-03-15_final
2018-04-01 09:22:32	ga_ls8c_ard_3-0-0_090091_2018-03-31_final
2018-04-17 09:22:23	ga_ls8c_ard_3-0-0_090091_2018-04-16_final
2018-05-10 09:28:20	ga_ls8c_ard_3-0-0_091091_2018-05-09_final
2018-10-03 09:16:16	ga_ls8c_ard_3-0-0_089090_2018-10-02_final
2018-10-24 09:34:56	ga_ls8c_ard_3-0-0_092090_2018-10-24_final
2018-10-26 09:22:59	ga_ls8c_ard_3-0-0_090091_2018-10-25_final
2019-02-06 09:28:38	ga_ls8c_ard_3-0-0_091090_2019-02-05_final
2019-02-06 09:29:02	ga_ls8c_ard_3-0-0_091091_2019-02-05_final
2019-02-15 09:22:50	ga_ls8c_ard_3-0-0_090091_2019-02-14_final
2019-03-17 09:34:38	ga_ls8c_ard_3-1-0_092090_2019-03-17_final
2019-05-06 09:22:33	ga_ls8c_ard_3-0-0_090091_2019-05-05_final
2019-05-20 09:34:40	ga_ls8c_ard_3-0-0_092090_2019-05-20_final
2019-05-22 09:22:20	ga_ls8c_ard_3-0-0_090090_2019-05-21_final
2019-05-22 09:22:44	ga_ls8c_ard_3-0-0_090091_2019-05-21_final
2019-05-31 09:16:14	ga_ls8c_ard_3-0-0_089090_2019-05-30_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-02-02 09:23:10	ga_ls8c_ard_3-1-0_090091_2020-02-01_final
2020-02-25 09:29:15	ga_ls8c_ard_3-1-0_091091_2020-02-24_final
2022-04-12 09:22:55	ga_ls8c_ard_3-2-1_090091_2022-04-11_final
2022-04-19 09:28:42	ga_ls8c_ard_3-2-1_091090_2022-04-18_final
2022-04-21 09:16:19	ga_ls8c_ard_3-2-1_089090_2022-04-20_final
2022-04-26 09:34:50	ga_ls8c_ard_3-2-1_092090_2022-04-26_final
2022-04-28 09:22:51	ga_ls8c_ard_3-2-1_090091_2022-04-27_final
2022-05-05 09:28:42	ga_ls8c_ard_3-2-1_091090_2022-05-04_final
2022-05-07 09:16:22	ga_ls8c_ard_3-2-1_089090_2022-05-06_final
2022-05-12 09:34:57	ga_ls8c_ard_3-2-1_092090_2022-05-12_final
2022-05-14 09:22:37	ga_ls8c_ard_3-2-1_090090_2022-05-13_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