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
2014-07-02 09:28:39	ga_ls8c_ard_3-0-0_091090_2014-07-01_final
2014-07-04 09:16:18	ga_ls8c_ard_3-0-0_089090_2014-07-03_final
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-07-20 09:16:23	ga_ls8c_ard_3-0-0_089090_2014-07-19_final
2014-09-29 09:22:25	ga_ls8c_ard_3-0-0_090089_2014-09-28_final
2014-09-29 09:22:49	ga_ls8c_ard_3-0-0_090090_2014-09-28_final
2014-12-09 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-12-08_final
2014-12-11 09:16:35	ga_ls8c_ard_3-0-0_089090_2014-12-10_final
2015-02-13 09:16:19	ga_ls8c_ard_3-0-0_089090_2015-02-12_final
2015-02-20 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-02-19_final
2015-02-27 09:28:39	ga_ls8c_ard_3-0-0_091090_2015-02-26_final
2015-03-01 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-02-28_final
2015-03-06 09:34:46	ga_ls8c_ard_3-0-0_092090_2015-03-06_final
2015-03-08 09:22:22	ga_ls8c_ard_3-0-0_090090_2015-03-07_final
2015-03-24 09:22:13	ga_ls8c_ard_3-0-0_090090_2015-03-23_final
2015-04-09 09:22:04	ga_ls8c_ard_3-0-0_090090_2015-04-08_final
2015-04-16 09:28:15	ga_ls8c_ard_3-0-0_091090_2015-04-15_final
2015-04-18 09:15:53	ga_ls8c_ard_3-0-0_089090_2015-04-17_final
2015-04-23 09:34:24	ga_ls8c_ard_3-0-0_092090_2015-04-23_final
2015-05-04 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-05-03_final
2015-05-11 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-10_final
2015-05-18 09:27:54	ga_ls8c_ard_3-0-0_091090_2015-05-17_final
2015-05-20 09:15:09	ga_ls8c_ard_3-0-0_089089_2015-05-19_final
2015-05-20 09:15:33	ga_ls8c_ard_3-0-0_089090_2015-05-19_final
2015-05-25 09:33:43	ga_ls8c_ard_3-0-0_092089_2015-05-25_final
2015-05-25 09:34:07	ga_ls8c_ard_3-0-0_092090_2015-05-25_final
2015-05-27 09:21:21	ga_ls8c_ard_3-0-0_090089_2015-05-26_final
2015-05-27 09:21:45	ga_ls8c_ard_3-0-0_090090_2015-05-26_final
2015-06-03 09:27:37	ga_ls8c_ard_3-0-0_091089_2015-06-02_final
2015-06-03 09:28:01	ga_ls8c_ard_3-0-0_091090_2015-06-02_final
2015-06-05 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-06-04_final
2015-06-05 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-06-04_final
2015-06-12 09:21:33	ga_ls8c_ard_3-0-0_090089_2015-06-11_final
2015-06-12 09:21:57	ga_ls8c_ard_3-0-0_090090_2015-06-11_final
2015-06-19 09:28:10	ga_ls8c_ard_3-0-0_091090_2015-06-18_final
2015-06-26 09:33:58	ga_ls8c_ard_3-0-0_092089_2015-06-26_final
2015-06-26 09:34:22	ga_ls8c_ard_3-0-0_092090_2015-06-26_final
2015-07-05 09:28:19	ga_ls8c_ard_3-0-0_091090_2015-07-04_final
2015-07-07 09:15:35	ga_ls8c_ard_3-0-0_089089_2015-07-06_final
2015-07-07 09:15:59	ga_ls8c_ard_3-0-0_089090_2015-07-06_final
2015-07-12 09:34:10	ga_ls8c_ard_3-0-0_092089_2015-07-12_final
2015-07-12 09:34:34	ga_ls8c_ard_3-0-0_092090_2015-07-12_final
2015-07-21 09:28:03	ga_ls8c_ard_3-0-0_091089_2015-07-20_final
2015-07-21 09:28:27	ga_ls8c_ard_3-0-0_091090_2015-07-20_final
2015-07-23 09:16:06	ga_ls8c_ard_3-0-0_089090_2015-07-22_final
2015-07-28 09:34:15	ga_ls8c_ard_3-0-0_092089_2015-07-28_final
2015-07-28 09:34:39	ga_ls8c_ard_3-0-0_092090_2015-07-28_final
2015-08-06 09:28:29	ga_ls8c_ard_3-0-0_091090_2015-08-05_final
2015-08-08 09:15:45	ga_ls8c_ard_3-0-0_089089_2015-08-07_final
2015-08-08 09:16:09	ga_ls8c_ard_3-0-0_089090_2015-08-07_final
2015-08-13 09:34:20	ga_ls8c_ard_3-0-0_092089_2015-08-13_final
2015-08-13 09:34:44	ga_ls8c_ard_3-0-0_092090_2015-08-13_final
2015-08-24 09:15:53	ga_ls8c_ard_3-0-0_089089_2015-08-23_final
2015-08-24 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-08-23_final
2015-08-29 09:34:51	ga_ls8c_ard_3-0-0_092090_2015-08-29_final
2015-09-07 09:28:43	ga_ls8c_ard_3-0-0_091090_2015-09-06_final
2015-09-09 09:15:59	ga_ls8c_ard_3-0-0_089089_2015-09-08_final
2015-09-09 09:16:23	ga_ls8c_ard_3-0-0_089090_2015-09-08_final
2015-09-14 09:34:34	ga_ls8c_ard_3-0-0_092089_2015-09-14_final
2015-09-14 09:34:58	ga_ls8c_ard_3-0-0_092090_2015-09-14_final
2015-09-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2015-09-22_final
2015-09-25 09:16:30	ga_ls8c_ard_3-0-0_089090_2015-09-24_final
2015-10-25 09:28:57	ga_ls8c_ard_3-0-0_091090_2015-10-24_final
2015-10-27 09:16:36	ga_ls8c_ard_3-0-0_089090_2015-10-26_final
2015-11-03 09:22:48	ga_ls8c_ard_3-0-0_090090_2015-11-02_final
2015-11-10 09:28:58	ga_ls8c_ard_3-0-0_091090_2015-11-09_final
2015-11-17 09:35:10	ga_ls8c_ard_3-0-0_092090_2015-11-17_final
2015-11-26 09:29:01	ga_ls8c_ard_3-0-0_091090_2015-11-25_final
2015-11-28 09:16:40	ga_ls8c_ard_3-0-0_089090_2015-11-27_final
2015-12-14 09:16:38	ga_ls8c_ard_3-0-0_089090_2015-12-13_final
2016-03-19 09:16:18	ga_ls8c_ard_3-0-0_089090_2016-03-18_final
2018-03-07 09:28:31	ga_ls8c_ard_3-0-0_091090_2018-03-06_final
2018-03-09 09:16:08	ga_ls8c_ard_3-0-0_089090_2018-03-08_final
2018-03-23 09:28:23	ga_ls8c_ard_3-0-0_091090_2018-03-22_final
2018-03-25 09:16:00	ga_ls8c_ard_3-0-0_089090_2018-03-24_final
2018-04-08 09:28:15	ga_ls8c_ard_3-0-0_091090_2018-04-07_final
2018-04-10 09:15:52	ga_ls8c_ard_3-0-0_089090_2018-04-09_final
2018-04-24 09:28:06	ga_ls8c_ard_3-0-0_091090_2018-04-23_final
2018-04-26 09:15:43	ga_ls8c_ard_3-0-0_089090_2018-04-25_final
2018-05-10 09:27:56	ga_ls8c_ard_3-0-0_091090_2018-05-09_final
2018-05-12 09:15:33	ga_ls8c_ard_3-0-0_089090_2018-05-11_final
2018-05-26 09:27:44	ga_ls8c_ard_3-1-0_091090_2018-05-25_final
2018-05-28 09:15:21	ga_ls8c_ard_3-0-0_089090_2018-05-27_final
2018-06-02 09:33:26	ga_ls8c_ard_3-0-0_092089_2018-06-02_final
2018-06-02 09:33:50	ga_ls8c_ard_3-0-0_092090_2018-06-02_final
2018-06-11 09:27:19	ga_ls8c_ard_3-0-0_091089_2018-06-10_final
2018-06-11 09:27:42	ga_ls8c_ard_3-0-0_091090_2018-06-10_final
2018-06-13 09:14:58	ga_ls8c_ard_3-0-0_089089_2018-06-12_final
2018-06-13 09:15:22	ga_ls8c_ard_3-0-0_089090_2018-06-12_final
2018-06-18 09:33:34	ga_ls8c_ard_3-0-0_092089_2018-06-18_final
2018-06-18 09:33:58	ga_ls8c_ard_3-0-0_092090_2018-06-18_final
2018-06-27 09:27:53	ga_ls8c_ard_3-0-0_091090_2018-06-26_final
2018-06-29 09:15:09	ga_ls8c_ard_3-0-0_089089_2018-06-28_final
2018-06-29 09:15:33	ga_ls8c_ard_3-0-0_089090_2018-06-28_final
2018-07-13 09:27:37	ga_ls8c_ard_3-0-0_091089_2018-07-12_final
2018-07-13 09:28:01	ga_ls8c_ard_3-0-0_091090_2018-07-12_final
2018-07-15 09:15:16	ga_ls8c_ard_3-0-0_089089_2018-07-14_final
2018-07-15 09:15:40	ga_ls8c_ard_3-0-0_089090_2018-07-14_final
2018-07-20 09:34:15	ga_ls8c_ard_3-0-0_092090_2018-07-20_final
2018-07-22 09:21:30	ga_ls8c_ard_3-0-0_090089_2018-07-21_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years