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:

Add field

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
2014-11-25 09:16:41	ga_ls8c_ard_3-0-0_089090_2014-11-24_final
2014-11-30 09:34:51	ga_ls8c_ard_3-0-0_092089_2014-11-30_final
2014-12-09 09:28:35	ga_ls8c_ard_3-0-0_091089_2014-12-08_final
2014-12-09 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-12-08_final
2014-12-11 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-12-10_final
2014-12-11 09:16:35	ga_ls8c_ard_3-0-0_089090_2014-12-10_final
2015-01-17 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-01-17_final
2015-02-13 09:16:19	ga_ls8c_ard_3-0-0_089090_2015-02-12_final
2015-02-27 09:28:15	ga_ls8c_ard_3-0-0_091089_2015-02-26_final
2015-02-27 09:28:39	ga_ls8c_ard_3-0-0_091090_2015-02-26_final
2015-03-01 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-02-28_final
2015-03-01 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-02-28_final
2015-03-24 09:21:49	ga_ls8c_ard_3-0-0_090089_2015-03-23_final
2015-03-24 09:22:13	ga_ls8c_ard_3-0-0_090090_2015-03-23_final
2015-03-31 09:28:18	ga_ls8c_ard_3-0-0_091090_2015-03-30_final
2015-04-09 09:21:40	ga_ls8c_ard_3-0-0_090089_2015-04-08_final
2015-04-09 09:22:04	ga_ls8c_ard_3-0-0_090090_2015-04-08_final
2015-09-30 09:34:40	ga_ls8c_ard_3-0-0_092089_2015-09-30_final
2015-09-30 09:35:04	ga_ls8c_ard_3-0-0_092090_2015-09-30_final
2015-10-02 09:22:18	ga_ls8c_ard_3-1-0_090089_2015-10-01_final
2015-10-02 09:22:42	ga_ls8c_ard_3-0-0_090090_2015-10-01_final
2015-11-10 09:28:34	ga_ls8c_ard_3-0-0_091089_2015-11-09_final
2015-11-10 09:28:58	ga_ls8c_ard_3-0-0_091090_2015-11-09_final
2015-11-17 09:34:46	ga_ls8c_ard_3-0-0_092089_2015-11-17_final
2015-11-17 09:35:10	ga_ls8c_ard_3-0-0_092090_2015-11-17_final
2015-11-19 09:22:25	ga_ls8c_ard_3-0-0_090089_2015-11-18_final
2015-11-19 09:22:49	ga_ls8c_ard_3-0-0_090090_2015-11-18_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-12-03 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-03_final
2015-12-03 09:35:11	ga_ls8c_ard_3-0-0_092090_2015-12-03_final
2017-03-20 09:28:32	ga_ls8c_ard_3-0-0_091090_2017-03-19_final
2017-03-27 09:34:39	ga_ls8c_ard_3-0-0_092090_2017-03-27_final
2017-03-29 09:22:17	ga_ls8c_ard_3-0-0_090090_2017-03-28_final
2017-04-05 09:28:25	ga_ls8c_ard_3-0-0_091090_2017-04-04_final
2017-04-12 09:34:08	ga_ls8c_ard_3-0-0_092089_2017-04-12_final
2017-04-12 09:34:32	ga_ls8c_ard_3-0-0_092090_2017-04-12_final
2017-04-14 09:22:09	ga_ls8c_ard_3-0-0_090090_2017-04-13_final
2017-04-21 09:28:16	ga_ls8c_ard_3-0-0_091090_2017-04-20_final
2017-04-28 09:33:57	ga_ls8c_ard_3-0-0_092089_2017-04-28_final
2017-04-28 09:34:21	ga_ls8c_ard_3-0-0_092090_2017-04-28_final
2017-04-30 09:21:35	ga_ls8c_ard_3-0-0_090089_2017-04-29_final
2017-04-30 09:21:59	ga_ls8c_ard_3-0-0_090090_2017-04-29_final
2017-05-07 09:27:48	ga_ls8c_ard_3-0-0_091089_2017-05-06_final
2017-05-07 09:28:12	ga_ls8c_ard_3-0-0_091090_2017-05-06_final
2017-06-08 09:28:08	ga_ls8c_ard_3-0-0_091089_2017-06-07_final
2017-06-08 09:28:31	ga_ls8c_ard_3-0-0_091090_2017-06-07_final
2017-06-10 09:15:47	ga_ls8c_ard_3-0-0_089089_2017-06-09_final
2017-06-10 09:16:11	ga_ls8c_ard_3-0-0_089090_2017-06-09_final
2017-06-15 09:34:21	ga_ls8c_ard_3-0-0_092089_2017-06-15_final
2017-06-15 09:34:45	ga_ls8c_ard_3-0-0_092090_2017-06-15_final
2017-06-17 09:22:00	ga_ls8c_ard_3-0-0_090089_2017-06-16_final
2017-06-17 09:22:24	ga_ls8c_ard_3-0-0_090090_2017-06-16_final
2017-07-01 09:34:26	ga_ls8c_ard_3-0-0_092089_2017-07-01_final
2017-07-01 09:34:49	ga_ls8c_ard_3-0-0_092090_2017-07-01_final
2017-07-03 09:22:04	ga_ls8c_ard_3-0-0_090089_2017-07-02_final
2017-07-03 09:22:28	ga_ls8c_ard_3-0-0_090090_2017-07-02_final
2017-07-10 09:28:16	ga_ls8c_ard_3-0-0_091089_2017-07-09_final
2017-07-10 09:28:40	ga_ls8c_ard_3-0-0_091090_2017-07-09_final
2019-02-08 09:15:52	ga_ls8c_ard_3-0-0_089089_2019-02-07_final
2019-02-08 09:16:16	ga_ls8c_ard_3-0-0_089090_2019-02-07_final
2019-04-04 09:21:49	ga_ls8c_ard_3-1-0_090089_2019-04-03_final
2019-04-04 09:22:13	ga_ls8c_ard_3-1-0_090090_2019-04-03_final
2019-05-06 09:21:45	ga_ls8c_ard_3-0-0_090089_2019-05-05_final
2019-05-06 09:22:09	ga_ls8c_ard_3-0-0_090090_2019-05-05_final
2019-06-30 09:28:22	ga_ls8c_ard_3-1-0_091089_2019-06-29_final
2019-06-30 09:28:46	ga_ls8c_ard_3-1-0_091090_2019-06-29_final
2019-07-02 09:16:01	ga_ls8c_ard_3-1-0_089089_2019-07-01_final
2019-07-02 09:16:25	ga_ls8c_ard_3-1-0_089090_2019-07-01_final
2019-07-09 09:22:13	ga_ls8c_ard_3-1-0_090089_2019-07-08_final
2019-07-09 09:22:37	ga_ls8c_ard_3-1-0_090090_2019-07-08_final
2019-08-08 09:34:45	ga_ls8c_ard_3-1-0_092089_2019-08-08_final
2019-08-08 09:35:09	ga_ls8c_ard_3-1-0_092090_2019-08-08_final
2019-08-10 09:22:24	ga_ls8c_ard_3-1-0_090089_2019-08-09_final
2019-08-10 09:22:48	ga_ls8c_ard_3-1-0_090090_2019-08-09_final
2019-09-04 09:16:19	ga_ls8c_ard_3-1-0_089089_2019-09-03_final
2019-09-04 09:16:43	ga_ls8c_ard_3-1-0_089090_2019-09-03_final
2019-09-25 09:34:59	ga_ls8c_ard_3-1-0_092089_2019-09-25_final
2019-10-27 09:35:03	ga_ls8c_ard_3-1-0_092089_2019-10-27_final
2019-10-27 09:35:27	ga_ls8c_ard_3-1-0_092090_2019-10-27_final
2019-10-29 09:22:41	ga_ls8c_ard_3-1-0_090089_2019-10-28_final
2019-10-29 09:23:05	ga_ls8c_ard_3-1-0_090090_2019-10-28_final
2019-11-05 09:28:51	ga_ls8c_ard_3-1-0_091089_2019-11-04_final
2019-11-05 09:29:15	ga_ls8c_ard_3-1-0_091090_2019-11-04_final
2019-12-09 09:16:25	ga_ls8c_ard_3-1-0_089089_2019-12-08_final
2019-12-09 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-12-08_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-01-01 09:22:30	ga_ls8c_ard_3-1-0_090089_2019-12-31_final
2020-01-01 09:22:54	ga_ls8c_ard_3-1-0_090090_2019-12-31_final
2020-01-08 09:28:40	ga_ls8c_ard_3-1-0_091089_2020-01-07_final
2020-01-08 09:29:04	ga_ls8c_ard_3-1-0_091090_2020-01-07_final
2020-01-24 09:28:36	ga_ls8c_ard_3-1-0_091089_2020-01-23_final
2020-01-24 09:29:00	ga_ls8c_ard_3-1-0_091090_2020-01-23_final
2020-02-09 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-02-08_final
2020-02-09 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-02-08_final
2020-02-11 09:16:33	ga_ls8c_ard_3-1-0_089090_2020-02-10_final
2020-02-16 09:35:05	ga_ls8c_ard_3-1-0_092090_2020-02-16_final
2020-02-25 09:28:27	ga_ls8c_ard_3-1-0_091089_2020-02-24_final
2020-02-25 09:28:51	ga_ls8c_ard_3-1-0_091090_2020-02-24_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