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
2014-07-04 09:15:54	ga_ls8c_ard_3-0-0_089089_2014-07-03_final
2014-07-11 09:22:09	ga_ls8c_ard_3-0-0_090089_2014-07-10_final
2014-08-05 09:16:07	ga_ls8c_ard_3-0-0_089089_2014-08-04_final
2014-08-10 09:34:41	ga_ls8c_ard_3-0-0_092089_2014-08-10_final
2014-08-12 09:22:20	ga_ls8c_ard_3-0-0_090089_2014-08-11_final
2014-09-27 09:34:45	ga_ls8c_ard_3-0-0_092089_2014-09-27_final
2014-09-29 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-09-28_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
2015-01-12 09:16:09	ga_ls8c_ard_3-0-0_089089_2015-01-11_final
2015-01-17 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-17_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
2015-02-13 09:15:55	ga_ls8c_ard_3-0-0_089089_2015-02-12_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
2015-03-08 09:21:58	ga_ls8c_ard_3-0-0_090089_2015-03-07_final
2015-03-15 09:28:04	ga_ls8c_ard_3-0-0_091089_2015-03-14_final
2015-03-17 09:15:42	ga_ls8c_ard_3-0-0_089089_2015-03-16_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
2015-03-31 09:27:54	ga_ls8c_ard_3-0-0_091089_2015-03-30_final
2015-04-02 09:15:30	ga_ls8c_ard_3-0-0_089089_2015-04-01_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
2015-04-18 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
2015-05-04 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-05-03_final
2015-05-09 09:33:44	ga_ls8c_ard_3-0-0_092089_2015-05-09_final
2015-05-11 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-10_final
2015-05-16 09:39:26	ga_ls8c_ard_3-0-0_093088_2015-05-16_final
2015-05-18 09:27:30	ga_ls8c_ard_3-0-0_091089_2015-05-17_final
2015-05-25 09:33:43	ga_ls8c_ard_3-0-0_092089_2015-05-25_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
2015-06-10 09:33:29	ga_ls8c_ard_3-0-0_092088_2015-06-10_final
2015-06-10 09:33:53	ga_ls8c_ard_3-0-0_092089_2015-06-10_final
2015-06-12 09:21:33	ga_ls8c_ard_3-0-0_090089_2015-06-11_final
2015-06-15 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-06-15_final
2015-06-19 09:27:46	ga_ls8c_ard_3-0-0_091089_2015-06-18_final
2015-09-30 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-09-30_final
2015-10-02 09:22:18	ga_ls8c_ard_3-1-0_090089_2015-10-01_final
2015-10-09 09:28:29	ga_ls8c_ard_3-0-0_091089_2015-10-08_final
2015-10-11 09:16:07	ga_ls8c_ard_3-0-0_089089_2015-10-10_final
2015-12-12 09:28:35	ga_ls8c_ard_3-0-0_091089_2015-12-11_final
2016-01-20 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-20_final
2016-01-22 09:22:22	ga_ls8c_ard_3-1-0_090089_2016-01-21_final
2016-04-18 09:28:02	ga_ls8c_ard_3-0-0_091089_2016-04-17_final
2016-05-04 09:28:06	ga_ls8c_ard_3-0-0_091089_2016-05-03_final
2016-05-13 09:21:49	ga_ls8c_ard_3-0-0_090089_2016-05-12_final
2017-07-06 09:52:35	ga_ls8c_ard_3-0-0_095088_2017-07-06_final
2017-10-28 09:40:44	ga_ls8c_ard_3-0-0_093088_2017-10-28_final
2017-11-08 09:22:34	ga_ls8c_ard_3-0-0_090089_2017-11-07_final
2017-12-01 09:28:37	ga_ls8c_ard_3-0-0_091089_2017-11-30_final
2017-12-10 09:22:26	ga_ls8c_ard_3-0-0_090089_2017-12-09_final
2017-12-17 09:28:39	ga_ls8c_ard_3-0-0_091089_2017-12-16_final
2018-01-02 09:28:37	ga_ls8c_ard_3-0-0_091089_2018-01-01_final
2018-01-11 09:22:22	ga_ls8c_ard_3-0-0_090089_2018-01-10_final
2018-01-27 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-01-26_final
2018-03-25 09:15:37	ga_ls8c_ard_3-0-0_089089_2018-03-24_final
2018-04-17 09:21:35	ga_ls8c_ard_3-0-0_090089_2018-04-16_final
2018-05-12 09:15:10	ga_ls8c_ard_3-0-0_089089_2018-05-11_final
2018-07-15 09:15:16	ga_ls8c_ard_3-0-0_089089_2018-07-14_final
2018-07-20 09:33:51	ga_ls8c_ard_3-0-0_092089_2018-07-20_final
2018-07-31 09:15:24	ga_ls8c_ard_3-0-0_089089_2018-07-30_final
2018-08-05 09:33:59	ga_ls8c_ard_3-0-0_092089_2018-08-05_final
2018-08-07 09:21:39	ga_ls8c_ard_3-0-0_090089_2018-08-06_final
2018-08-16 09:15:09	ga_ls8c_ard_3-0-0_089088_2018-08-15_final
2018-08-16 09:15:33	ga_ls8c_ard_3-0-0_089089_2018-08-15_final
2018-09-17 09:15:44	ga_ls8c_ard_3-0-0_089089_2018-09-16_final
2018-09-22 09:34:18	ga_ls8c_ard_3-0-0_092089_2018-09-22_final
2018-09-24 09:21:58	ga_ls8c_ard_3-0-0_090089_2018-09-23_final
2018-10-26 09:22:11	ga_ls8c_ard_3-0-0_090089_2018-10-25_final
2018-11-02 09:28:23	ga_ls8c_ard_3-0-0_091089_2018-11-01_final
2018-11-18 09:28:24	ga_ls8c_ard_3-0-0_091089_2018-11-17_final
2018-11-25 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-25_final
2018-11-27 09:22:13	ga_ls8c_ard_3-0-0_090089_2018-11-26_final
2018-12-02 09:40:20	ga_ls8c_ard_3-0-0_093088_2018-12-02_final
2018-12-04 09:28:22	ga_ls8c_ard_3-0-0_091089_2018-12-03_final
2018-12-13 09:22:09	ga_ls8c_ard_3-0-0_090089_2018-12-12_final
2018-12-27 09:34:31	ga_ls8c_ard_3-0-0_092089_2018-12-27_final
2019-01-05 09:28:20	ga_ls8c_ard_3-0-0_091089_2019-01-04_final
2019-01-28 09:34:26	ga_ls8c_ard_3-0-0_092089_2019-01-28_final
2019-01-30 09:22:04	ga_ls8c_ard_3-0-0_090089_2019-01-29_final
2019-12-07 09:28:47	ga_ls8c_ard_3-1-0_091089_2019-12-06_final
2020-03-14 09:15:58	ga_ls8c_ard_3-1-0_089089_2020-03-13_final
2020-05-15 09:27:53	ga_ls8c_ard_3-1-0_091089_2020-05-14_final
2020-05-31 09:27:57	ga_ls8c_ard_3-1-0_091089_2020-05-30_final
2020-06-09 09:21:52	ga_ls8c_ard_3-1-0_090089_2020-06-08_final
2020-06-18 09:15:47	ga_ls8c_ard_3-1-0_089089_2020-06-17_final
2020-06-25 09:22:01	ga_ls8c_ard_3-1-0_090089_2020-06-24_final
2020-07-25 09:34:34	ga_ls8c_ard_3-1-0_092089_2020-07-25_final
2020-08-03 09:28:25	ga_ls8c_ard_3-1-0_091089_2020-08-02_final
2020-08-19 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-08-18_final
2020-08-21 09:16:10	ga_ls8c_ard_3-1-0_089089_2020-08-20_final
2020-08-26 09:34:45	ga_ls8c_ard_3-1-0_092089_2020-08-26_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