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
2013-03-28 09:20:39	ga_ls8c_ard_3-0-0_090089_2013-03-27_final
2013-04-28 09:17:52	ga_ls8c_ard_3-0-0_089089_2013-04-27_final
2013-06-06 09:24:20	ga_ls8c_ard_3-0-0_090089_2013-06-05_final
2013-07-01 09:18:04	ga_ls8c_ard_3-0-0_089089_2013-06-30_final
2013-07-24 09:24:15	ga_ls8c_ard_3-0-0_090089_2013-07-23_final
2013-08-02 09:18:07	ga_ls8c_ard_3-0-0_089089_2013-08-01_final
2013-08-18 09:18:07	ga_ls8c_ard_3-0-0_089089_2013-08-17_final
2013-08-25 09:24:20	ga_ls8c_ard_3-0-0_090089_2013-08-24_final
2013-10-28 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-10-27_final
2013-11-13 09:24:00	ga_ls8c_ard_3-0-0_090089_2013-11-12_final
2014-09-06 09:16:14	ga_ls8c_ard_3-0-0_089089_2014-09-05_final
2014-11-09 09:16:20	ga_ls8c_ard_3-0-0_089089_2014-11-08_final
2014-12-27 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-12-26_final
2015-02-13 09:15:55	ga_ls8c_ard_3-0-0_089089_2015-02-12_final
2015-03-22 09:34:12	ga_ls8c_ard_3-0-0_092089_2015-03-22_final
2015-03-24 09:21:49	ga_ls8c_ard_3-0-0_090089_2015-03-23_final
2015-04-07 09:34:01	ga_ls8c_ard_3-0-0_092089_2015-04-07_final
2015-04-09 09:21:40	ga_ls8c_ard_3-0-0_090089_2015-04-08_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
2015-05-02 09:27:41	ga_ls8c_ard_3-0-0_091089_2015-05-01_final
2015-05-04 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-05-03_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-05-20 09:15:09	ga_ls8c_ard_3-0-0_089089_2015-05-19_final
2015-06-21 09:15:01	ga_ls8c_ard_3-0-0_089088_2015-06-20_final
2015-06-21 09:15:25	ga_ls8c_ard_3-0-0_089089_2015-06-20_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
2015-07-01 09:52:11	ga_ls8c_ard_3-0-0_095088_2015-07-01_final
2015-07-26 09:46:13	ga_ls8c_ard_3-0-0_094088_2015-07-26_final
2015-08-15 09:22:00	ga_ls8c_ard_3-0-0_090089_2015-08-14_final
2015-08-31 09:22:06	ga_ls8c_ard_3-0-0_090089_2015-08-30_final
2015-09-28 09:46:37	ga_ls8c_ard_3-0-0_094088_2015-09-28_final
2015-09-30 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-09-30_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_final
2015-10-11 09:15:43	ga_ls8c_ard_3-0-0_089088_2015-10-10_final
2015-10-11 09:16:07	ga_ls8c_ard_3-0-0_089089_2015-10-10_final
2015-10-18 09:21:55	ga_ls8c_ard_3-0-0_090088_2015-10-17_final
2015-10-18 09:22:19	ga_ls8c_ard_3-0-0_090089_2015-10-17_final
2015-10-23 09:40:30	ga_ls8c_ard_3-0-0_093088_2015-10-23_final
2015-10-25 09:28:33	ga_ls8c_ard_3-0-0_091089_2015-10-24_final
2015-11-12 09:15:48	ga_ls8c_ard_3-0-0_089088_2015-11-11_final
2015-11-12 09:16:12	ga_ls8c_ard_3-0-0_089089_2015-11-11_final
2015-12-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2015-12-11_final
2015-12-28 09:28:36	ga_ls8c_ard_3-0-0_091089_2015-12-27_final
2016-01-04 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-04_final
2016-01-13 09:28:33	ga_ls8c_ard_3-0-0_091089_2016-01-12_final
2016-01-29 09:28:32	ga_ls8c_ard_3-0-0_091089_2016-01-28_final
2016-02-07 09:22:18	ga_ls8c_ard_3-0-0_090089_2016-02-06_final
2016-02-21 09:34:32	ga_ls8c_ard_3-0-0_092089_2016-02-21_final
2016-03-17 09:28:17	ga_ls8c_ard_3-0-0_091089_2016-03-16_final
2016-04-02 09:28:07	ga_ls8c_ard_3-0-0_091089_2016-04-01_final
2016-04-04 09:15:45	ga_ls8c_ard_3-0-0_089089_2016-04-03_final
2016-04-25 09:34:09	ga_ls8c_ard_3-0-0_092089_2016-04-25_final
2016-05-04 09:28:06	ga_ls8c_ard_3-0-0_091089_2016-05-03_final
2017-03-29 09:21:53	ga_ls8c_ard_3-0-0_090089_2017-03-28_final
2017-04-30 09:21:35	ga_ls8c_ard_3-0-0_090089_2017-04-29_final
2017-05-14 09:34:04	ga_ls8c_ard_3-0-0_092089_2017-05-14_final
2017-06-20 09:52:31	ga_ls8c_ard_3-0-0_095088_2017-06-20_final
2017-08-20 09:22:21	ga_ls8c_ard_3-0-0_090089_2017-08-19_final
2017-08-25 09:40:31	ga_ls8c_ard_3-0-0_093088_2017-08-25_final
2017-08-27 09:28:34	ga_ls8c_ard_3-0-0_091089_2017-08-26_final
2017-09-17 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-09-17_final
2017-09-19 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-09-19_final
2017-10-23 09:22:11	ga_ls8c_ard_3-0-0_090088_2017-10-22_final
2017-10-23 09:22:35	ga_ls8c_ard_3-0-0_090089_2017-10-22_final
2017-11-15 09:28:43	ga_ls8c_ard_3-0-0_091089_2017-11-14_final
2017-11-24 09:22:29	ga_ls8c_ard_3-0-0_090089_2017-11-23_final
2017-12-26 09:22:28	ga_ls8c_ard_3-0-0_090089_2017-12-25_final
2018-01-27 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-01-26_final
2019-03-28 09:15:40	ga_ls8c_ard_3-1-0_089089_2019-03-27_final
2019-04-02 09:34:11	ga_ls8c_ard_3-1-0_092089_2019-04-02_final
2019-05-04 09:34:05	ga_ls8c_ard_3-0-0_092089_2019-05-04_final
2019-05-15 09:15:17	ga_ls8c_ard_3-0-0_089088_2019-05-14_final
2019-05-15 09:15:41	ga_ls8c_ard_3-0-0_089089_2019-05-14_final
2019-05-20 09:34:16	ga_ls8c_ard_3-0-0_092089_2019-05-20_final
2019-05-29 09:28:10	ga_ls8c_ard_3-0-0_091089_2019-05-28_final
2019-06-10 09:52:35	ga_ls8c_ard_3-0-0_095088_2019-06-10_final
2019-06-26 09:52:40	ga_ls8c_ard_3-1-0_095088_2019-06-26_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_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
2019-08-10 09:22:00	ga_ls8c_ard_3-1-0_090088_2019-08-09_final
2019-08-10 09:22:24	ga_ls8c_ard_3-1-0_090089_2019-08-09_final
2019-08-24 09:34:49	ga_ls8c_ard_3-1-0_092089_2019-08-24_final
2019-09-30 09:53:08	ga_ls8c_ard_3-1-0_095088_2019-09-30_final
2019-10-11 09:35:02	ga_ls8c_ard_3-1-0_092089_2019-10-11_final
2019-10-20 09:28:52	ga_ls8c_ard_3-1-0_091089_2019-10-19_final
2019-11-30 09:22:36	ga_ls8c_ard_3-1-0_090089_2019-11-29_final
2019-12-03 09:53:06	ga_ls8c_ard_3-1-0_095088_2019-12-03_final
2020-01-01 09:22:30	ga_ls8c_ard_3-1-0_090089_2019-12-31_final
2020-01-08 09:28:40	ga_ls8c_ard_3-1-0_091089_2020-01-07_final
2020-01-24 09:28:36	ga_ls8c_ard_3-1-0_091089_2020-01-23_final
2020-02-25 09:28:27	ga_ls8c_ard_3-1-0_091089_2020-02-24_final
2020-02-27 09:16:05	ga_ls8c_ard_3-1-0_089089_2020-02-26_final
2020-03-03 09:34:36	ga_ls8c_ard_3-1-0_092089_2020-03-03_final
2020-03-28 09:28:12	ga_ls8c_ard_3-1-0_091089_2020-03-27_final
2020-04-13 09:28:05	ga_ls8c_ard_3-1-0_091089_2020-04-12_final
2020-04-22 09:21:50	ga_ls8c_ard_3-1-0_090089_2020-04-21_final
2020-05-01 09:15:34	ga_ls8c_ard_3-1-0_089089_2020-04-30_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