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
2015-07-05 09:28:43	ga_ls8c_ard_3-0-0_091091_2015-07-04_final
2015-07-14 09:22:37	ga_ls8c_ard_3-0-0_090091_2015-07-13_final
2015-07-30 09:22:42	ga_ls8c_ard_3-0-0_090091_2015-07-29_final
2015-09-23 09:29:15	ga_ls8c_ard_3-0-0_091091_2015-09-22_final
2015-11-19 09:23:13	ga_ls8c_ard_3-0-0_090091_2015-11-18_final
2015-11-26 09:29:25	ga_ls8c_ard_3-0-0_091091_2015-11-25_final
2015-12-12 09:29:23	ga_ls8c_ard_3-0-0_091091_2015-12-11_final
2016-01-13 09:29:21	ga_ls8c_ard_3-0-0_091091_2016-01-12_final
2016-05-04 09:28:53	ga_ls8c_ard_3-0-0_091091_2016-05-03_final
2016-05-20 09:28:51	ga_ls8c_ard_3-0-0_091091_2016-05-19_final
2016-05-29 09:22:44	ga_ls8c_ard_3-0-0_090091_2016-05-28_final
2016-06-05 09:28:57	ga_ls8c_ard_3-0-0_091091_2016-06-04_final
2016-06-14 09:22:47	ga_ls8c_ard_3-0-0_090091_2016-06-13_final
2016-06-21 09:29:01	ga_ls8c_ard_3-0-0_091091_2016-06-20_final
2016-06-23 09:16:16	ga_ls8c_ard_3-0-0_089090_2016-06-22_final
2016-06-30 09:22:55	ga_ls8c_ard_3-0-0_090091_2016-06-29_final
2016-07-07 09:29:10	ga_ls8c_ard_3-0-0_091091_2016-07-06_final
2016-07-16 09:23:03	ga_ls8c_ard_3-0-0_090091_2016-07-15_final
2016-07-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2016-07-22_final
2016-07-23 09:29:15	ga_ls8c_ard_3-0-0_091091_2016-07-22_final
2016-08-01 09:23:06	ga_ls8c_ard_3-0-0_090091_2016-07-31_final
2016-08-08 09:29:18	ga_ls8c_ard_3-0-0_091091_2016-08-07_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 09:29:24	ga_ls8c_ard_3-0-0_091091_2016-08-23_final
2016-09-02 09:23:17	ga_ls8c_ard_3-0-0_090091_2016-09-01_final
2016-09-09 09:29:29	ga_ls8c_ard_3-0-0_091091_2016-09-08_final
2016-09-18 09:23:19	ga_ls8c_ard_3-0-0_090091_2016-09-17_final
2016-09-25 09:29:30	ga_ls8c_ard_3-0-0_091091_2016-09-24_final
2016-10-04 09:23:21	ga_ls8c_ard_3-0-0_090091_2016-10-03_final
2016-10-11 09:29:34	ga_ls8c_ard_3-0-0_091091_2016-10-10_final
2016-11-21 09:23:26	ga_ls8c_ard_3-0-0_090091_2016-11-20_final
2017-09-05 09:23:12	ga_ls8c_ard_3-0-0_090091_2017-09-04_final
2017-09-12 09:29:22	ga_ls8c_ard_3-0-0_091091_2017-09-11_final
2017-09-21 09:23:15	ga_ls8c_ard_3-0-0_090091_2017-09-20_final
2017-10-07 09:23:21	ga_ls8c_ard_3-0-0_090091_2017-10-06_final
2017-10-14 09:29:33	ga_ls8c_ard_3-0-0_091091_2017-10-13_final
2017-10-30 09:29:34	ga_ls8c_ard_3-0-0_091091_2017-10-29_final
2017-11-15 09:29:31	ga_ls8c_ard_3-0-0_091091_2017-11-14_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_final
2017-12-10 09:23:14	ga_ls8c_ard_3-0-0_090091_2017-12-09_final
2017-12-17 09:29:27	ga_ls8c_ard_3-0-0_091091_2017-12-16_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_final
2018-01-02 09:29:25	ga_ls8c_ard_3-0-0_091091_2018-01-01_final
2018-01-11 09:23:10	ga_ls8c_ard_3-0-0_090091_2018-01-10_final
2018-01-18 09:29:18	ga_ls8c_ard_3-0-0_091091_2018-01-17_final
2018-01-27 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-01-26_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
2018-05-19 09:22:03	ga_ls8c_ard_3-0-0_090091_2018-05-18_final
2019-12-07 09:29:35	ga_ls8c_ard_3-1-0_091091_2019-12-06_final
2019-12-16 09:23:23	ga_ls8c_ard_3-2-0_090091_2019-12-15_final
2019-12-23 09:29:32	ga_ls8c_ard_3-1-0_091091_2019-12-22_final
2020-01-08 09:29:28	ga_ls8c_ard_3-1-0_091091_2020-01-07_final
2020-01-17 09:23:15	ga_ls8c_ard_3-1-0_090091_2020-01-16_final
2020-01-24 09:29:24	ga_ls8c_ard_3-1-0_091091_2020-01-23_final
2020-02-02 09:23:10	ga_ls8c_ard_3-1-0_090091_2020-02-01_final
2020-02-09 09:29:19	ga_ls8c_ard_3-1-0_091091_2020-02-08_final
2020-02-25 09:29:15	ga_ls8c_ard_3-1-0_091091_2020-02-24_final
2020-03-21 09:22:54	ga_ls8c_ard_3-1-0_090091_2020-03-20_final
2020-03-28 09:29:00	ga_ls8c_ard_3-1-0_091091_2020-03-27_final
2020-04-06 09:22:45	ga_ls8c_ard_3-1-0_090091_2020-04-05_final
2020-04-13 09:28:53	ga_ls8c_ard_3-1-0_091091_2020-04-12_final
2020-04-29 09:28:45	ga_ls8c_ard_3-1-0_091091_2020-04-28_final
2020-05-15 09:28:17	ga_ls8c_ard_3-1-0_091090_2020-05-14_final
2020-05-15 09:28:41	ga_ls8c_ard_3-1-0_091091_2020-05-14_final
2020-05-24 09:22:32	ga_ls8c_ard_3-1-0_090091_2020-05-23_final
2020-05-31 09:28:45	ga_ls8c_ard_3-1-0_091091_2020-05-30_final
2020-06-02 09:16:01	ga_ls8c_ard_3-1-0_089090_2020-06-01_final
2020-06-09 09:22:16	ga_ls8c_ard_3-1-0_090090_2020-06-08_final
2020-06-09 09:22:40	ga_ls8c_ard_3-1-0_090091_2020-06-08_final
2020-06-16 09:28:55	ga_ls8c_ard_3-1-0_091091_2020-06-15_final
2020-06-18 09:16:11	ga_ls8c_ard_3-1-0_089090_2020-06-17_final
2020-06-25 09:22:25	ga_ls8c_ard_3-1-0_090090_2020-06-24_final
2020-06-25 09:22:49	ga_ls8c_ard_3-1-0_090091_2020-06-24_final
2020-07-02 09:28:39	ga_ls8c_ard_3-1-0_091090_2020-07-01_final
2020-07-02 09:29:03	ga_ls8c_ard_3-1-0_091091_2020-07-01_final
2020-07-11 09:22:56	ga_ls8c_ard_3-1-0_090091_2020-07-10_final
2020-07-18 09:29:09	ga_ls8c_ard_3-1-0_091091_2020-07-17_final
2020-07-27 09:22:37	ga_ls8c_ard_3-1-0_090090_2020-07-26_final
2020-07-27 09:23:01	ga_ls8c_ard_3-1-0_090091_2020-07-26_final
2020-08-03 09:28:49	ga_ls8c_ard_3-1-0_091090_2020-08-02_final
2020-08-03 09:29:13	ga_ls8c_ard_3-1-0_091091_2020-08-02_final
2020-08-12 09:23:04	ga_ls8c_ard_3-1-0_090091_2020-08-11_final
2020-08-28 09:23:13	ga_ls8c_ard_3-1-0_090091_2020-08-27_final
2020-09-04 09:29:27	ga_ls8c_ard_3-1-0_091091_2020-09-03_final
2020-09-13 09:23:19	ga_ls8c_ard_3-1-0_090091_2020-09-12_final
2020-10-06 09:29:35	ga_ls8c_ard_3-1-0_091091_2020-10-05_final
2020-10-22 09:29:36	ga_ls8c_ard_3-1-0_091091_2020-10-21_final
2020-11-16 09:23:22	ga_ls8c_ard_3-1-0_090091_2020-11-15_final
2020-11-23 09:29:35	ga_ls8c_ard_3-1-0_091091_2020-11-22_final
2020-12-02 09:23:26	ga_ls8c_ard_3-1-0_090091_2020-12-01_final
2020-12-09 09:29:37	ga_ls8c_ard_3-1-0_091091_2020-12-08_final
2020-12-18 09:23:26	ga_ls8c_ard_3-2-0_090091_2020-12-17_final
2020-12-25 09:29:35	ga_ls8c_ard_3-2-0_091091_2020-12-24_final
2022-08-02 09:23:31	ga_ls8c_ard_3-2-1_090091_2022-08-01_final
2022-08-18 09:23:37	ga_ls8c_ard_3-2-1_090091_2022-08-17_final
2022-09-19 09:23:44	ga_ls8c_ard_3-2-1_090091_2022-09-18_final
2022-10-05 09:23:42	ga_ls8c_ard_3-2-1_090091_2022-10-04_final
2022-10-21 09:23:40	ga_ls8c_ard_3-2-1_090091_2022-10-20_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