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
2014-06-30 09:39:47	ga_ls8c_ard_3-0-0_093087_2014-06-30_final
2014-06-30 09:40:11	ga_ls8c_ard_3-0-0_093088_2014-06-30_final
2014-07-02 09:27:27	ga_ls8c_ard_3-0-0_091087_2014-07-01_final
2014-07-02 09:27:51	ga_ls8c_ard_3-0-0_091088_2014-07-01_final
2014-07-16 09:39:54	ga_ls8c_ard_3-0-0_093087_2014-07-16_final
2014-07-16 09:40:18	ga_ls8c_ard_3-0-0_093088_2014-07-16_final
2014-07-18 09:27:33	ga_ls8c_ard_3-0-0_091087_2014-07-17_final
2014-07-18 09:27:57	ga_ls8c_ard_3-0-0_091088_2014-07-17_final
2014-08-26 09:33:56	ga_ls8c_ard_3-0-0_092087_2014-08-26_final
2014-08-26 09:34:20	ga_ls8c_ard_3-0-0_092088_2014-08-26_final
2014-08-28 09:21:34	ga_ls8c_ard_3-0-0_090087_2014-08-27_final
2014-08-28 09:21:58	ga_ls8c_ard_3-0-0_090088_2014-08-27_final
2014-09-27 09:34:21	ga_ls8c_ard_3-0-0_092088_2014-09-27_final
2014-09-29 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-09-28_final
2014-09-29 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-09-28_final
2014-10-20 09:40:16	ga_ls8c_ard_3-0-0_093087_2014-10-20_final
2014-10-20 09:40:40	ga_ls8c_ard_3-0-0_093088_2014-10-20_final
2014-11-07 09:27:54	ga_ls8c_ard_3-0-0_091087_2014-11-06_final
2014-11-07 09:28:18	ga_ls8c_ard_3-0-0_091088_2014-11-06_final
2014-12-07 09:40:10	ga_ls8c_ard_3-0-0_093087_2014-12-07_final
2014-12-07 09:40:34	ga_ls8c_ard_3-0-0_093088_2014-12-07_final
2014-12-09 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-12-08_final
2014-12-09 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-12-08_final
2018-03-25 09:15:13	ga_ls8c_ard_3-0-0_089088_2018-03-24_final
2018-04-10 09:15:05	ga_ls8c_ard_3-0-0_089088_2018-04-09_final
2018-05-10 09:27:09	ga_ls8c_ard_3-0-0_091088_2018-05-09_final
2018-05-12 09:14:46	ga_ls8c_ard_3-0-0_089088_2018-05-11_final
2018-05-28 09:14:33	ga_ls8c_ard_3-0-0_089088_2018-05-27_final
2018-06-09 09:38:51	ga_ls8c_ard_3-0-0_093087_2018-06-09_final
2018-06-09 09:39:15	ga_ls8c_ard_3-0-0_093088_2018-06-09_final
2018-06-11 09:26:31	ga_ls8c_ard_3-0-0_091087_2018-06-10_final
2018-06-11 09:26:55	ga_ls8c_ard_3-0-0_091088_2018-06-10_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
2018-06-25 09:39:02	ga_ls8c_ard_3-0-0_093087_2018-06-25_final
2018-06-25 09:39:26	ga_ls8c_ard_3-0-0_093088_2018-06-25_final
2018-06-27 09:26:41	ga_ls8c_ard_3-0-0_091087_2018-06-26_final
2018-06-27 09:27:05	ga_ls8c_ard_3-0-0_091088_2018-06-26_final
2018-06-29 09:14:21	ga_ls8c_ard_3-0-0_089087_2018-06-28_final
2018-06-29 09:14:45	ga_ls8c_ard_3-0-0_089088_2018-06-28_final
2018-06-30 09:57:37	ga_ls8c_ard_3-0-0_096087_2018-06-30_final
2018-07-13 09:26:49	ga_ls8c_ard_3-0-0_091087_2018-07-12_final
2018-07-13 09:27:13	ga_ls8c_ard_3-0-0_091088_2018-07-12_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 09:20:42	ga_ls8c_ard_3-0-0_090087_2018-07-21_final
2018-07-22 09:21:06	ga_ls8c_ard_3-0-0_090088_2018-07-21_final
2021-01-06 09:53:02	ga_ls8c_ard_3-2-0_095088_2021-01-06_final
2021-01-28 09:15:51	ga_ls8c_ard_3-2-0_089088_2021-01-27_final
2021-02-02 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-02-02_final
2021-02-02 09:34:22	ga_ls8c_ard_3-2-0_092088_2021-02-02_final
2021-02-04 09:21:37	ga_ls8c_ard_3-2-0_090087_2021-02-03_final
2021-02-04 09:22:01	ga_ls8c_ard_3-2-0_090088_2021-02-03_final
2021-03-15 09:27:55	ga_ls8c_ard_3-2-0_091088_2021-03-14_final
2021-03-17 09:15:32	ga_ls8c_ard_3-2-0_089088_2021-03-16_final
2021-03-20 09:46:25	ga_ls8c_ard_3-2-0_094088_2021-03-20_final
2021-03-22 09:34:04	ga_ls8c_ard_3-2-0_092088_2021-03-22_final
2021-03-24 09:21:42	ga_ls8c_ard_3-2-0_090088_2021-03-23_final
2021-03-27 09:52:35	ga_ls8c_ard_3-2-0_095088_2021-03-27_final
2021-03-29 09:40:13	ga_ls8c_ard_3-2-0_093088_2021-03-29_final
2021-03-31 09:27:51	ga_ls8c_ard_3-2-0_091088_2021-03-30_final
2021-04-02 09:15:29	ga_ls8c_ard_3-2-0_089088_2021-04-01_final
2021-04-05 09:46:22	ga_ls8c_ard_3-2-0_094088_2021-04-05_final
2021-04-07 09:33:59	ga_ls8c_ard_3-2-0_092088_2021-04-07_final
2021-04-09 09:21:37	ga_ls8c_ard_3-2-0_090088_2021-04-08_final
2021-05-11 09:21:02	ga_ls8c_ard_3-2-0_090087_2021-05-10_final
2021-05-11 09:21:25	ga_ls8c_ard_3-2-0_090088_2021-05-10_final
2021-07-23 09:15:17	ga_ls8c_ard_3-2-0_089087_2021-07-22_final
2021-07-23 09:15:41	ga_ls8c_ard_3-2-0_089088_2021-07-22_final
2021-07-24 09:58:34	ga_ls8c_ard_3-2-0_096087_2021-07-24_final
2021-07-26 09:46:13	ga_ls8c_ard_3-2-0_094087_2021-07-26_final
2021-07-26 09:46:37	ga_ls8c_ard_3-2-0_094088_2021-07-26_final
2021-07-28 09:33:52	ga_ls8c_ard_3-2-0_092087_2021-07-28_final
2021-07-28 09:34:16	ga_ls8c_ard_3-2-0_092088_2021-07-28_final
2021-08-02 09:52:27	ga_ls8c_ard_3-2-0_095087_2021-08-02_final
2021-08-02 09:52:51	ga_ls8c_ard_3-2-0_095088_2021-08-02_final
2021-08-04 09:40:06	ga_ls8c_ard_3-2-0_093087_2021-08-04_final
2021-08-04 09:40:30	ga_ls8c_ard_3-2-0_093088_2021-08-04_final
2021-08-06 09:27:46	ga_ls8c_ard_3-2-0_091087_2021-08-05_final
2021-08-06 09:28:10	ga_ls8c_ard_3-2-0_091088_2021-08-05_final
2021-09-10 09:58:50	ga_ls8c_ard_3-2-0_096087_2021-09-10_final
2021-09-12 09:46:29	ga_ls8c_ard_3-2-0_094087_2021-09-12_final
2021-09-12 09:46:53	ga_ls8c_ard_3-2-0_094088_2021-09-12_final
2021-09-16 09:22:10	ga_ls8c_ard_3-2-0_090088_2021-09-15_final
2021-09-19 09:52:41	ga_ls8c_ard_3-2-0_095087_2021-09-19_final
2021-09-19 09:53:05	ga_ls8c_ard_3-2-0_095088_2021-09-19_final
2021-09-21 09:40:43	ga_ls8c_ard_3-2-0_093088_2021-09-21_final
2021-09-25 09:15:37	ga_ls8c_ard_3-2-0_089087_2021-09-24_final
2021-09-25 09:16:01	ga_ls8c_ard_3-2-0_089088_2021-09-24_final
2021-09-30 09:34:12	ga_ls8c_ard_3-2-0_092087_2021-09-30_final
2021-09-30 09:34:36	ga_ls8c_ard_3-2-0_092088_2021-09-30_final
2021-10-02 09:21:51	ga_ls8c_ard_3-2-0_090087_2021-10-01_final
2021-10-02 09:22:15	ga_ls8c_ard_3-2-0_090088_2021-10-01_final
2021-10-05 09:52:46	ga_ls8c_ard_3-2-0_095087_2021-10-05_final
2021-10-05 09:53:10	ga_ls8c_ard_3-2-0_095088_2021-10-05_final
2021-10-07 09:40:25	ga_ls8c_ard_3-2-0_093087_2021-10-07_final
2021-10-07 09:40:49	ga_ls8c_ard_3-2-0_093088_2021-10-07_final
2021-10-11 09:15:43	ga_ls8c_ard_3-2-0_089087_2021-10-10_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