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
2014-12-07 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
2016-10-16 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-10-16_final
2016-10-16 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-10-16_final
2016-11-01 09:46:33	ga_ls8c_ard_3-0-0_094087_2016-11-01_final
2016-11-01 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-01_final
2016-11-03 09:34:12	ga_ls8c_ard_3-0-0_092087_2016-11-03_final
2016-11-03 09:34:36	ga_ls8c_ard_3-0-0_092088_2016-11-03_final
2016-11-05 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-04_final
2016-11-10 09:40:45	ga_ls8c_ard_3-0-0_093088_2016-11-10_final
2016-12-07 09:22:12	ga_ls8c_ard_3-0-0_090088_2016-12-06_final
2016-12-14 09:28:21	ga_ls8c_ard_3-0-0_091088_2016-12-13_final
2016-12-19 09:46:27	ga_ls8c_ard_3-0-0_094087_2016-12-19_final
2016-12-19 09:46:51	ga_ls8c_ard_3-0-0_094088_2016-12-19_final
2017-01-20 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-01-20_final
2017-01-24 09:22:00	ga_ls8c_ard_3-0-0_090088_2017-01-23_final
2017-01-27 09:52:52	ga_ls8c_ard_3-0-0_095088_2017-01-27_final
2017-02-05 09:46:13	ga_ls8c_ard_3-0-0_094087_2017-02-05_final
2017-02-05 09:46:37	ga_ls8c_ard_3-0-0_094088_2017-02-05_final
2017-02-07 09:34:14	ga_ls8c_ard_3-0-0_092088_2017-02-07_final
2017-02-09 09:21:51	ga_ls8c_ard_3-0-0_090088_2017-02-08_final
2017-02-12 09:52:44	ga_ls8c_ard_3-0-0_095088_2017-02-12_final
2017-02-14 09:40:22	ga_ls8c_ard_3-0-0_093088_2017-02-14_final
2017-02-16 09:28:00	ga_ls8c_ard_3-0-0_091088_2017-02-15_final
2017-02-18 09:15:38	ga_ls8c_ard_3-0-0_089088_2017-02-17_final
2017-02-21 09:46:31	ga_ls8c_ard_3-0-0_094088_2017-02-21_final
2017-03-11 09:34:01	ga_ls8c_ard_3-0-0_092088_2017-03-11_final
2018-03-05 09:40:06	ga_ls8c_ard_3-0-0_093088_2018-03-05_final
2018-03-07 09:27:43	ga_ls8c_ard_3-0-0_091088_2018-03-06_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
2018-06-27 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
2020-05-31 09:27:09	ga_ls8c_ard_3-1-0_091087_2020-05-30_final
2020-05-31 09:27:33	ga_ls8c_ard_3-1-0_091088_2020-05-30_final
2020-06-09 09:21:28	ga_ls8c_ard_3-1-0_090088_2020-06-08_final
2020-06-25 09:21:37	ga_ls8c_ard_3-1-0_090088_2020-06-24_final
2020-07-11 09:21:20	ga_ls8c_ard_3-1-0_090087_2020-07-10_final
2020-07-11 09:21:44	ga_ls8c_ard_3-1-0_090088_2020-07-10_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-07-25 09:34:10	ga_ls8c_ard_3-1-0_092088_2020-07-25_final
2020-08-01 09:39:59	ga_ls8c_ard_3-1-0_093087_2020-08-01_final
2020-08-01 09:40:23	ga_ls8c_ard_3-1-0_093088_2020-08-01_final
2020-08-03 09:27:37	ga_ls8c_ard_3-1-0_091087_2020-08-02_final
2020-08-03 09:28:01	ga_ls8c_ard_3-1-0_091088_2020-08-02_final
2020-08-10 09:34:13	ga_ls8c_ard_3-1-0_092088_2020-08-10_final
2020-08-12 09:21:28	ga_ls8c_ard_3-1-0_090087_2020-08-11_final
2020-08-12 09:21:52	ga_ls8c_ard_3-1-0_090088_2020-08-11_final
2020-08-19 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-08-18_final
2020-08-19 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-08-18_final
2020-08-21 09:15:22	ga_ls8c_ard_3-1-0_089087_2020-08-20_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-08-22 09:58:39	ga_ls8c_ard_3-1-0_096087_2020-08-22_final
2020-08-26 09:33:57	ga_ls8c_ard_3-1-0_092087_2020-08-26_final
2020-08-26 09:34:21	ga_ls8c_ard_3-1-0_092088_2020-08-26_final
2020-08-28 09:21:37	ga_ls8c_ard_3-1-0_090087_2020-08-27_final
2020-08-28 09:22:01	ga_ls8c_ard_3-1-0_090088_2020-08-27_final
2020-10-02 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-10-02_final
2020-10-02 09:53:06	ga_ls8c_ard_3-1-0_095088_2020-10-02_final
2020-10-18 09:53:08	ga_ls8c_ard_3-1-0_095088_2020-10-18_final
2021-08-08 09:15:25	ga_ls8c_ard_3-2-0_089087_2021-08-07_final
2021-08-08 09:15:49	ga_ls8c_ard_3-2-0_089088_2021-08-07_final
2021-08-09 09:58:41	ga_ls8c_ard_3-2-0_096087_2021-08-09_final
2021-08-11 09:46:20	ga_ls8c_ard_3-2-0_094087_2021-08-11_final
2021-08-11 09:46:44	ga_ls8c_ard_3-2-0_094088_2021-08-11_final
2021-08-13 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-08-13_final
2021-08-13 09:34:23	ga_ls8c_ard_3-2-0_092088_2021-08-13_final
2021-08-15 09:21:38	ga_ls8c_ard_3-2-0_090087_2021-08-14_final
2021-08-15 09:22:02	ga_ls8c_ard_3-2-0_090088_2021-08-14_final
2021-08-18 09:52:33	ga_ls8c_ard_3-2-0_095087_2021-08-18_final
2021-08-18 09:52:57	ga_ls8c_ard_3-2-0_095088_2021-08-18_final
2021-08-20 09:40:12	ga_ls8c_ard_3-2-0_093087_2021-08-20_final
2021-08-20 09:40:36	ga_ls8c_ard_3-2-0_093088_2021-08-20_final
2021-08-22 09:27:51	ga_ls8c_ard_3-2-0_091087_2021-08-21_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-09-28 09:46:57	ga_ls8c_ard_3-2-0_094088_2021-09-28_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
2021-10-09 09:28:04	ga_ls8c_ard_3-2-0_091087_2021-10-08_final
2021-10-09 09:28:28	ga_ls8c_ard_3-2-0_091088_2021-10-08_final
2021-10-11 09:16:07	ga_ls8c_ard_3-2-0_089088_2021-10-10_final
2021-12-10 09:40:47	ga_ls8c_ard_3-2-1_093088_2021-12-10_final
2021-12-12 09:28:25	ga_ls8c_ard_3-2-1_091088_2021-12-11_final
2021-12-21 09:22:13	ga_ls8c_ard_3-2-1_090088_2021-12-20_final
2021-12-24 09:52:41	ga_ls8c_ard_3-2-1_095087_2021-12-24_final
2021-12-26 09:40:19	ga_ls8c_ard_3-2-1_093087_2021-12-26_final
2021-12-26 09:40:43	ga_ls8c_ard_3-2-1_093088_2021-12-26_final
2021-12-28 09:28:20	ga_ls8c_ard_3-2-1_091088_2021-12-27_final
2022-01-06 09:22:08	ga_ls8c_ard_3-2-1_090088_2022-01-05_final
2022-01-11 09:40:40	ga_ls8c_ard_3-2-1_093088_2022-01-11_final
2022-01-13 09:28:18	ga_ls8c_ard_3-2-1_091088_2022-01-12_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