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
2014-11-25 09:16:17	ga_ls8c_ard_3-0-0_089089_2014-11-24_final
2014-12-07 09:40:34	ga_ls8c_ard_3-0-0_093088_2014-12-07_final
2014-12-09 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-12-08_final
2014-12-16 09:34:22	ga_ls8c_ard_3-0-0_092088_2014-12-16_final
2014-12-16 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-12-16_final
2014-12-18 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-12-17_final
2014-12-25 09:28:34	ga_ls8c_ard_3-0-0_091089_2014-12-24_final
2014-12-27 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-12-26_final
2015-01-01 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-01_final
2015-01-01 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-01_final
2015-01-03 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-01-02_final
2015-01-10 09:28:31	ga_ls8c_ard_3-0-0_091089_2015-01-09_final
2015-01-19 09:21:53	ga_ls8c_ard_3-0-0_090088_2015-01-18_final
2015-01-19 09:22:17	ga_ls8c_ard_3-0-0_090089_2015-01-18_final
2015-01-26 09:28:25	ga_ls8c_ard_3-0-0_091089_2015-01-25_final
2015-01-28 09:16:04	ga_ls8c_ard_3-0-0_089089_2015-01-27_final
2015-02-04 09:21:49	ga_ls8c_ard_3-0-0_090088_2015-02-03_final
2015-02-04 09:22:13	ga_ls8c_ard_3-0-0_090089_2015-02-03_final
2015-02-18 09:34:28	ga_ls8c_ard_3-0-0_092089_2015-02-18_final
2015-02-20 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-02-19_final
2015-02-27 09:28:15	ga_ls8c_ard_3-0-0_091089_2015-02-26_final
2015-03-01 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-02-28_final
2015-03-06 09:34:22	ga_ls8c_ard_3-0-0_092089_2015-03-06_final
2015-03-15 09:28:04	ga_ls8c_ard_3-0-0_091089_2015-03-14_final
2015-04-16 09:27:51	ga_ls8c_ard_3-0-0_091089_2015-04-15_final
2015-04-18 09:15:29	ga_ls8c_ard_3-0-0_089089_2015-04-17_final
2015-04-25 09:21:37	ga_ls8c_ard_3-0-0_090089_2015-04-24_final
2015-05-09 09:33:44	ga_ls8c_ard_3-0-0_092089_2015-05-09_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-05-27 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-26_final
2015-05-27 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-26_final
2015-06-03 09:27:37	ga_ls8c_ard_3-0-0_091089_2015-06-02_final
2015-06-08 09:45:50	ga_ls8c_ard_3-0-0_094088_2015-06-08_final
2015-06-19 09:27:46	ga_ls8c_ard_3-0-0_091089_2015-06-18_final
2015-06-24 09:45:56	ga_ls8c_ard_3-0-0_094088_2015-06-24_final
2015-06-26 09:33:34	ga_ls8c_ard_3-0-0_092088_2015-06-26_final
2015-06-26 09:33:58	ga_ls8c_ard_3-0-0_092089_2015-06-26_final
2015-06-28 09:21:15	ga_ls8c_ard_3-0-0_090088_2015-06-27_final
2015-06-28 09:21:39	ga_ls8c_ard_3-0-0_090089_2015-06-27_final
2015-07-05 09:27:31	ga_ls8c_ard_3-0-0_091088_2015-07-04_final
2015-07-05 09:27:55	ga_ls8c_ard_3-0-0_091089_2015-07-04_final
2015-07-07 09:15:11	ga_ls8c_ard_3-0-0_089088_2015-07-06_final
2015-07-07 09:15:35	ga_ls8c_ard_3-0-0_089089_2015-07-06_final
2015-07-10 09:46:07	ga_ls8c_ard_3-0-0_094088_2015-07-10_final
2015-07-12 09:33:46	ga_ls8c_ard_3-0-0_092088_2015-07-12_final
2015-07-12 09:34:10	ga_ls8c_ard_3-0-0_092089_2015-07-12_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-07-14 09:21:50	ga_ls8c_ard_3-0-0_090089_2015-07-13_final
2015-07-21 09:27:39	ga_ls8c_ard_3-0-0_091088_2015-07-20_final
2015-07-21 09:28:03	ga_ls8c_ard_3-0-0_091089_2015-07-20_final
2015-07-23 09:15:18	ga_ls8c_ard_3-0-0_089088_2015-07-22_final
2015-07-23 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-07-22_final
2015-07-28 09:33:51	ga_ls8c_ard_3-0-0_092088_2015-07-28_final
2015-07-28 09:34:15	ga_ls8c_ard_3-0-0_092089_2015-07-28_final
2015-07-30 09:21:30	ga_ls8c_ard_3-0-0_090088_2015-07-29_final
2015-07-30 09:21:54	ga_ls8c_ard_3-0-0_090089_2015-07-29_final
2015-08-11 09:46:17	ga_ls8c_ard_3-0-0_094088_2015-08-11_final
2015-08-13 09:33:56	ga_ls8c_ard_3-0-0_092088_2015-08-13_final
2015-08-13 09:34:20	ga_ls8c_ard_3-0-0_092089_2015-08-13_final
2016-12-19 09:46:51	ga_ls8c_ard_3-0-0_094088_2016-12-19_final
2018-10-19 09:15:34	ga_ls8c_ard_3-0-0_089088_2018-10-18_final
2018-10-19 09:15:58	ga_ls8c_ard_3-0-0_089089_2018-10-18_final
2018-12-06 09:15:36	ga_ls8c_ard_3-0-0_089088_2018-12-05_final
2018-12-06 09:16:00	ga_ls8c_ard_3-0-0_089089_2018-12-05_final
2018-12-22 09:15:35	ga_ls8c_ard_3-0-0_089088_2018-12-21_final
2018-12-22 09:15:59	ga_ls8c_ard_3-0-0_089089_2018-12-21_final
2019-06-14 09:28:17	ga_ls8c_ard_3-1-0_091089_2019-06-13_final
2019-06-16 09:15:32	ga_ls8c_ard_3-1-0_089088_2019-06-15_final
2019-06-16 09:15:56	ga_ls8c_ard_3-1-0_089089_2019-06-15_final
2019-06-26 09:52:40	ga_ls8c_ard_3-1-0_095088_2019-06-26_final
2019-06-28 09:40:19	ga_ls8c_ard_3-1-0_093088_2019-06-28_final
2019-07-09 09:21:49	ga_ls8c_ard_3-1-0_090088_2019-07-08_final
2019-07-09 09:22:13	ga_ls8c_ard_3-1-0_090089_2019-07-08_final
2019-07-16 09:28:25	ga_ls8c_ard_3-1-0_091089_2019-07-15_final
2019-07-18 09:15:39	ga_ls8c_ard_3-1-0_089088_2019-07-17_final
2019-07-18 09:16:03	ga_ls8c_ard_3-1-0_089089_2019-07-17_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-23 09:34:38	ga_ls8c_ard_3-1-0_092089_2019-07-23_final
2019-07-25 09:21:53	ga_ls8c_ard_3-1-0_090088_2019-07-24_final
2019-07-25 09:22:17	ga_ls8c_ard_3-1-0_090089_2019-07-24_final
2019-08-01 09:28:31	ga_ls8c_ard_3-1-0_091089_2019-07-31_final
2019-08-03 09:15:46	ga_ls8c_ard_3-1-0_089088_2019-08-02_final
2019-08-03 09:16:10	ga_ls8c_ard_3-1-0_089089_2019-08-02_final
2019-08-26 09:22:04	ga_ls8c_ard_3-1-0_090088_2019-08-25_final
2019-08-26 09:22:28	ga_ls8c_ard_3-1-0_090089_2019-08-25_final
2019-09-02 09:28:40	ga_ls8c_ard_3-1-0_091089_2019-09-01_final
2019-09-09 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-09-09_final
2019-09-11 09:22:32	ga_ls8c_ard_3-1-0_090089_2019-09-10_final
2019-09-14 09:53:03	ga_ls8c_ard_3-1-0_095088_2019-09-14_final
2019-09-16 09:40:43	ga_ls8c_ard_3-1-0_093088_2019-09-16_final
2019-09-18 09:28:22	ga_ls8c_ard_3-1-0_091088_2019-09-17_final
2019-09-18 09:28:46	ga_ls8c_ard_3-1-0_091089_2019-09-17_final
2019-09-27 09:22:14	ga_ls8c_ard_3-1-0_090088_2019-09-26_final
2019-09-27 09:22:37	ga_ls8c_ard_3-1-0_090089_2019-09-26_final
2019-10-13 09:22:17	ga_ls8c_ard_3-1-0_090088_2019-10-12_final
2019-10-13 09:22:40	ga_ls8c_ard_3-1-0_090089_2019-10-12_final
2019-10-16 09:53:11	ga_ls8c_ard_3-1-0_095088_2019-10-16_final
2019-10-18 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-10-18_final
2019-10-20 09:28:52	ga_ls8c_ard_3-1-0_091089_2019-10-19_final
2019-10-22 09:16:06	ga_ls8c_ard_3-1-0_089088_2019-10-21_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