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
2015-04-28 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-04-28_final
2015-04-30 09:39:41	ga_ls8c_ard_3-0-0_093088_2015-04-30_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-06-08 09:45:50	ga_ls8c_ard_3-0-0_094088_2015-06-08_final
2015-06-24 09:45:56	ga_ls8c_ard_3-0-0_094088_2015-06-24_final
2016-05-04 09:27:42	ga_ls8c_ard_3-0-0_091088_2016-05-03_final
2016-05-04 09:28:06	ga_ls8c_ard_3-0-0_091089_2016-05-03_final
2016-05-11 09:33:48	ga_ls8c_ard_3-0-0_092088_2016-05-11_final
2016-05-11 09:34:12	ga_ls8c_ard_3-0-0_092089_2016-05-11_final
2016-05-13 09:21:25	ga_ls8c_ard_3-0-0_090088_2016-05-12_final
2016-05-13 09:21:49	ga_ls8c_ard_3-0-0_090089_2016-05-12_final
2016-05-20 09:27:40	ga_ls8c_ard_3-0-0_091088_2016-05-19_final
2016-05-20 09:28:04	ga_ls8c_ard_3-0-0_091089_2016-05-19_final
2016-06-12 09:33:56	ga_ls8c_ard_3-0-0_092088_2016-06-12_final
2016-06-12 09:34:20	ga_ls8c_ard_3-0-0_092089_2016-06-12_final
2016-06-14 09:21:35	ga_ls8c_ard_3-0-0_090088_2016-06-13_final
2016-06-14 09:21:59	ga_ls8c_ard_3-0-0_090089_2016-06-13_final
2016-06-21 09:27:49	ga_ls8c_ard_3-0-0_091088_2016-06-20_final
2016-06-21 09:28:13	ga_ls8c_ard_3-0-0_091089_2016-06-20_final
2016-06-23 09:15:29	ga_ls8c_ard_3-0-0_089088_2016-06-22_final
2016-06-23 09:15:53	ga_ls8c_ard_3-0-0_089089_2016-06-22_final
2016-06-30 09:21:43	ga_ls8c_ard_3-0-0_090088_2016-06-29_final
2016-06-30 09:22:07	ga_ls8c_ard_3-0-0_090089_2016-06-29_final
2016-08-17 09:21:58	ga_ls8c_ard_3-0-0_090088_2016-08-16_final
2016-08-17 09:22:22	ga_ls8c_ard_3-0-0_090089_2016-08-16_final
2016-08-20 09:52:54	ga_ls8c_ard_3-0-0_095088_2016-08-20_final
2016-08-22 09:40:33	ga_ls8c_ard_3-0-0_093088_2016-08-22_final
2016-09-02 09:22:05	ga_ls8c_ard_3-0-0_090088_2016-09-01_final
2016-09-02 09:22:29	ga_ls8c_ard_3-0-0_090089_2016-09-01_final
2016-09-05 09:53:00	ga_ls8c_ard_3-0-0_095088_2016-09-05_final
2016-09-07 09:40:38	ga_ls8c_ard_3-0-0_093088_2016-09-07_final
2016-09-21 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-09-21_final
2016-09-23 09:40:40	ga_ls8c_ard_3-0-0_093088_2016-09-23_final
2016-10-07 09:53:04	ga_ls8c_ard_3-0-0_095088_2016-10-07_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-10-16 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-10-16_final
2016-10-18 09:34:35	ga_ls8c_ard_3-0-0_092088_2016-10-18_final
2016-10-18 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-10-18_final
2016-10-20 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-10-19_final
2016-10-20 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-10-19_final
2016-10-23 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-10-23_final
2016-10-25 09:40:47	ga_ls8c_ard_3-0-0_093088_2016-10-25_final
2016-11-03 09:34:36	ga_ls8c_ard_3-0-0_092088_2016-11-03_final
2016-11-03 09:35:00	ga_ls8c_ard_3-0-0_092089_2016-11-03_final
2016-11-05 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-04_final
2016-11-05 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-04_final
2016-11-08 09:53:07	ga_ls8c_ard_3-0-0_095088_2016-11-08_final
2016-11-10 09:40:45	ga_ls8c_ard_3-0-0_093088_2016-11-10_final
2016-11-21 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-20_final
2016-11-21 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-20_final
2017-07-12 09:15:31	ga_ls8c_ard_3-0-0_089088_2017-07-11_final
2017-07-12 09:15:55	ga_ls8c_ard_3-0-0_089089_2017-07-11_final
2017-07-17 09:34:05	ga_ls8c_ard_3-0-0_092088_2017-07-17_final
2017-07-17 09:34:29	ga_ls8c_ard_3-0-0_092089_2017-07-17_final
2017-07-19 09:21:45	ga_ls8c_ard_3-0-0_090088_2017-07-18_final
2017-07-19 09:22:09	ga_ls8c_ard_3-0-0_090089_2017-07-18_final
2017-08-02 09:34:13	ga_ls8c_ard_3-0-0_092088_2017-08-02_final
2017-08-02 09:34:37	ga_ls8c_ard_3-0-0_092089_2017-08-02_final
2017-08-04 09:21:52	ga_ls8c_ard_3-0-0_090088_2017-08-03_final
2017-08-04 09:22:16	ga_ls8c_ard_3-0-0_090089_2017-08-03_final
2017-08-13 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-08-12_final
2017-08-13 09:16:09	ga_ls8c_ard_3-0-0_089089_2017-08-12_final
2017-08-18 09:34:19	ga_ls8c_ard_3-0-0_092088_2017-08-18_final
2017-08-18 09:34:43	ga_ls8c_ard_3-0-0_092089_2017-08-18_final
2017-08-20 09:21:57	ga_ls8c_ard_3-0-0_090088_2017-08-19_final
2017-08-20 09:22:21	ga_ls8c_ard_3-0-0_090089_2017-08-19_final
2017-09-01 09:46:43	ga_ls8c_ard_3-0-0_094088_2017-09-01_final
2017-09-03 09:34:21	ga_ls8c_ard_3-0-0_092088_2017-09-03_final
2017-09-03 09:34:45	ga_ls8c_ard_3-0-0_092089_2017-09-03_final
2017-09-12 09:28:11	ga_ls8c_ard_3-0-0_091088_2017-09-11_final
2017-09-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2017-09-11_final
2017-09-14 09:15:49	ga_ls8c_ard_3-0-0_089088_2017-09-13_final
2017-09-14 09:16:13	ga_ls8c_ard_3-0-0_089089_2017-09-13_final
2017-09-30 09:15:56	ga_ls8c_ard_3-0-0_089088_2017-09-29_final
2017-09-30 09:16:20	ga_ls8c_ard_3-0-0_089089_2017-09-29_final
2017-10-05 09:34:30	ga_ls8c_ard_3-0-0_092088_2017-10-05_final
2017-10-05 09:34:54	ga_ls8c_ard_3-0-0_092089_2017-10-05_final
2017-10-07 09:22:09	ga_ls8c_ard_3-0-0_090088_2017-10-06_final
2017-10-07 09:22:33	ga_ls8c_ard_3-0-0_090089_2017-10-06_final
2017-10-16 09:16:00	ga_ls8c_ard_3-0-0_089088_2017-10-15_final
2017-10-16 09:16:24	ga_ls8c_ard_3-0-0_089089_2017-10-15_final
2018-09-17 09:15:20	ga_ls8c_ard_3-0-0_089088_2018-09-16_final
2018-09-17 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-09-16_final
2018-11-04 09:15:38	ga_ls8c_ard_3-0-0_089088_2018-11-03_final
2018-11-04 09:16:02	ga_ls8c_ard_3-0-0_089089_2018-11-03_final
2018-11-09 09:34:11	ga_ls8c_ard_3-0-0_092088_2018-11-09_final
2018-11-09 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-09_final
2018-11-11 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-11-10_final
2018-11-11 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-11-10_final
2018-11-20 09:15:39	ga_ls8c_ard_3-0-0_089088_2018-11-19_final
2018-11-20 09:16:03	ga_ls8c_ard_3-0-0_089089_2018-11-19_final
2018-11-25 09:34:11	ga_ls8c_ard_3-0-0_092088_2018-11-25_final
2018-11-25 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-25_final
2018-11-27 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-11-26_final
2018-11-27 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-11-26_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
2018-12-11 09:34:08	ga_ls8c_ard_3-0-0_092088_2018-12-11_final
2018-12-11 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-12-11_final
2018-12-13 09:21:45	ga_ls8c_ard_3-0-0_090088_2018-12-12_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