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
2014-07-11 09:21:21	ga_ls8c_ard_3-0-0_090087_2014-07-10_final
2014-07-11 09:21:45	ga_ls8c_ard_3-0-0_090088_2014-07-10_final
2014-07-14 09:52:15	ga_ls8c_ard_3-0-0_095087_2014-07-14_final
2014-07-30 09:52:20	ga_ls8c_ard_3-0-0_095087_2014-07-30_final
2014-08-08 09:46:14	ga_ls8c_ard_3-0-0_094087_2014-08-08_final
2014-08-15 09:52:27	ga_ls8c_ard_3-0-0_095087_2014-08-15_final
2014-08-31 09:52:29	ga_ls8c_ard_3-0-0_095087_2014-08-31_final
2014-09-09 09:46:21	ga_ls8c_ard_3-0-0_094087_2014-09-09_final
2014-10-02 09:52:33	ga_ls8c_ard_3-0-0_095087_2014-10-02_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2014-11-30 09:34:03	ga_ls8c_ard_3-0-0_092087_2014-11-30_final
2014-11-30 09:34:27	ga_ls8c_ard_3-0-0_092088_2014-11-30_final
2014-12-02 09:21:41	ga_ls8c_ard_3-0-0_090087_2014-12-01_final
2014-12-02 09:22:05	ga_ls8c_ard_3-0-0_090088_2014-12-01_final
2014-12-21 09:52:31	ga_ls8c_ard_3-0-0_095087_2014-12-21_final
2018-02-15 09:52:12	ga_ls8c_ard_3-0-0_095087_2018-02-15_final
2018-02-15 09:52:36	ga_ls8c_ard_3-0-0_095088_2018-02-15_final
2018-02-17 09:40:13	ga_ls8c_ard_3-0-0_093088_2018-02-17_final
2018-03-09 09:15:20	ga_ls8c_ard_3-0-0_089088_2018-03-08_final
2018-03-21 09:39:57	ga_ls8c_ard_3-0-0_093088_2018-03-21_final
2018-03-23 09:27:35	ga_ls8c_ard_3-0-0_091088_2018-03-22_final
2018-04-17 09:21:11	ga_ls8c_ard_3-0-0_090088_2018-04-16_final
2018-04-20 09:52:03	ga_ls8c_ard_3-0-0_095088_2018-04-20_final
2018-06-04 09:20:16	ga_ls8c_ard_3-0-0_090087_2018-06-03_final
2018-06-04 09:20:40	ga_ls8c_ard_3-0-0_090088_2018-06-03_final
2018-06-07 09:51:11	ga_ls8c_ard_3-0-0_095087_2018-06-07_final
2018-06-07 09:51:35	ga_ls8c_ard_3-0-0_095088_2018-06-07_final
2018-06-13 09:14:10	ga_ls8c_ard_3-0-0_089087_2018-06-12_final
2018-06-13 09:14:34	ga_ls8c_ard_3-0-0_089088_2018-06-12_final
2018-06-14 09:57:27	ga_ls8c_ard_3-0-0_096087_2018-06-14_final
2018-06-18 09:32:46	ga_ls8c_ard_3-0-0_092087_2018-06-18_final
2018-06-18 09:33:10	ga_ls8c_ard_3-0-0_092088_2018-06-18_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-20 09:20:50	ga_ls8c_ard_3-0-0_090088_2018-06-19_final
2018-07-15 09:14:29	ga_ls8c_ard_3-0-0_089087_2018-07-14_final
2018-07-15 09:14:53	ga_ls8c_ard_3-0-0_089088_2018-07-14_final
2018-07-16 09:57:45	ga_ls8c_ard_3-0-0_096087_2018-07-16_final
2018-07-22 09:21:06	ga_ls8c_ard_3-0-0_090088_2018-07-21_final
2018-11-02 09:27:35	ga_ls8c_ard_3-0-0_091087_2018-11-01_final
2018-11-02 09:27:59	ga_ls8c_ard_3-0-0_091088_2018-11-01_final
2018-11-11 09:21:25	ga_ls8c_ard_3-0-0_090087_2018-11-10_final
2018-11-11 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-11-10_final
2018-11-14 09:52:44	ga_ls8c_ard_3-0-0_095088_2018-11-14_final
2018-11-16 09:39:58	ga_ls8c_ard_3-0-0_093087_2018-11-16_final
2018-11-16 09:40:22	ga_ls8c_ard_3-0-0_093088_2018-11-16_final
2018-11-18 09:27:36	ga_ls8c_ard_3-1-0_091087_2018-11-17_final
2018-11-18 09:28:00	ga_ls8c_ard_3-0-0_091088_2018-11-17_final
2018-11-23 09:46:09	ga_ls8c_ard_3-0-0_094087_2018-11-23_final
2018-11-23 09:46:32	ga_ls8c_ard_3-0-0_094088_2018-11-23_final
2018-11-25 09:33:47	ga_ls8c_ard_3-0-0_092087_2018-11-25_final
2018-11-25 09:34:11	ga_ls8c_ard_3-0-0_092088_2018-11-25_final
2018-11-27 09:21:25	ga_ls8c_ard_3-0-0_090087_2018-11-26_final
2018-11-27 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-11-26_final
2018-12-02 09:39:57	ga_ls8c_ard_3-0-0_093087_2018-12-02_final
2018-12-02 09:40:20	ga_ls8c_ard_3-0-0_093088_2018-12-02_final
2018-12-04 09:27:35	ga_ls8c_ard_3-0-0_091087_2018-12-03_final
2018-12-04 09:27:58	ga_ls8c_ard_3-0-0_091088_2018-12-03_final
2018-12-09 09:46:30	ga_ls8c_ard_3-0-0_094088_2018-12-09_final
2018-12-13 09:21:21	ga_ls8c_ard_3-0-0_090087_2018-12-12_final
2018-12-13 09:21:45	ga_ls8c_ard_3-0-0_090088_2018-12-12_final
2018-12-18 09:39:54	ga_ls8c_ard_3-0-0_093087_2018-12-18_final
2018-12-18 09:40:18	ga_ls8c_ard_3-0-0_093088_2018-12-18_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2018-12-20 09:27:57	ga_ls8c_ard_3-0-0_091088_2018-12-19_final
2018-12-27 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-12-27_final
2018-12-27 09:34:08	ga_ls8c_ard_3-0-0_092088_2018-12-27_final
2018-12-29 09:21:22	ga_ls8c_ard_3-0-0_090087_2018-12-28_final
2018-12-29 09:21:46	ga_ls8c_ard_3-0-0_090088_2018-12-28_final
2019-01-05 09:27:56	ga_ls8c_ard_3-0-0_091088_2019-01-04_final
2019-01-07 09:15:34	ga_ls8c_ard_3-0-0_089088_2019-01-06_final
2019-01-08 09:58:26	ga_ls8c_ard_3-0-0_096087_2019-01-08_final
2019-01-10 09:46:04	ga_ls8c_ard_3-0-0_094087_2019-01-10_final
2019-01-10 09:46:28	ga_ls8c_ard_3-0-0_094088_2019-01-10_final
2019-01-19 09:40:15	ga_ls8c_ard_3-0-0_093088_2019-01-19_final
2019-01-21 09:27:53	ga_ls8c_ard_3-0-0_091088_2019-01-20_final
2019-02-20 09:40:09	ga_ls8c_ard_3-0-0_093088_2019-02-20_final
2019-02-22 09:27:47	ga_ls8c_ard_3-0-0_091088_2019-02-21_final
2019-03-10 09:27:42	ga_ls8c_ard_3-1-0_091088_2019-03-09_final
2019-03-12 09:15:19	ga_ls8c_ard_3-1-0_089088_2019-03-11_final
2019-03-31 09:46:09	ga_ls8c_ard_3-1-0_094088_2019-03-31_final
2019-04-09 09:39:56	ga_ls8c_ard_3-1-0_093088_2019-04-09_final
2019-04-29 09:14:43	ga_ls8c_ard_3-0-0_089087_2019-04-28_final
2019-04-29 09:15:07	ga_ls8c_ard_3-0-0_089088_2019-04-28_final
2019-04-30 09:57:59	ga_ls8c_ard_3-0-0_096087_2019-04-30_final
2019-05-11 09:39:33	ga_ls8c_ard_3-0-0_093087_2019-05-11_final
2019-05-11 09:39:57	ga_ls8c_ard_3-0-0_093088_2019-05-11_final
2019-05-13 09:27:13	ga_ls8c_ard_3-0-0_091087_2019-05-12_final
2019-05-13 09:27:37	ga_ls8c_ard_3-0-0_091088_2019-05-12_final
2019-05-18 09:45:49	ga_ls8c_ard_3-0-0_094087_2019-05-18_final
2019-05-18 09:46:13	ga_ls8c_ard_3-0-0_094088_2019-05-18_final
2019-05-20 09:33:28	ga_ls8c_ard_3-0-0_092087_2019-05-20_final
2019-05-20 09:33:52	ga_ls8c_ard_3-0-0_092088_2019-05-20_final
2019-05-27 09:39:43	ga_ls8c_ard_3-0-0_093087_2019-05-27_final
2019-05-27 09:40:07	ga_ls8c_ard_3-0-0_093088_2019-05-27_final
2019-05-29 09:27:22	ga_ls8c_ard_3-0-0_091087_2019-05-28_final
2019-05-29 09:27:46	ga_ls8c_ard_3-0-0_091088_2019-05-28_final
2019-06-14 09:27:29	ga_ls8c_ard_3-1-0_091087_2019-06-13_final
2019-06-14 09:27:53	ga_ls8c_ard_3-1-0_091088_2019-06-13_final
2019-06-16 09:15:08	ga_ls8c_ard_3-1-0_089087_2019-06-15_final
2019-06-16 09:15:32	ga_ls8c_ard_3-1-0_089088_2019-06-15_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