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
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-09-20 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-19_final
2015-02-25 09:40:14	ga_ls8c_ard_3-0-0_093088_2015-02-25_final
2015-02-27 09:27:51	ga_ls8c_ard_3-0-0_091088_2015-02-26_final
2015-05-20 09:14:21	ga_ls8c_ard_3-0-0_089087_2015-05-19_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-06-03 09:26:49	ga_ls8c_ard_3-0-0_091087_2015-06-02_final
2015-06-03 09:27:13	ga_ls8c_ard_3-0-0_091088_2015-06-02_final
2015-06-05 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-06-04_final
2015-06-05 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-06-04_final
2015-06-06 09:57:46	ga_ls8c_ard_3-0-0_096087_2015-06-06_final
2015-06-17 09:39:20	ga_ls8c_ard_3-0-0_093087_2015-06-17_final
2015-06-17 09:39:44	ga_ls8c_ard_3-0-0_093088_2015-06-17_final
2015-06-19 09:26:59	ga_ls8c_ard_3-0-0_091087_2015-06-18_final
2015-06-19 09:27:23	ga_ls8c_ard_3-0-0_091088_2015-06-18_final
2017-04-23 09:15:05	ga_ls8c_ard_3-0-0_089088_2017-04-22_final
2017-06-10 09:15:23	ga_ls8c_ard_3-0-0_089088_2017-06-09_final
2017-07-28 09:15:38	ga_ls8c_ard_3-0-0_089088_2017-07-27_final
2017-08-13 09:15:21	ga_ls8c_ard_3-0-0_089087_2017-08-12_final
2017-08-13 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-08-12_final
2017-08-14 09:58:37	ga_ls8c_ard_3-0-0_096087_2017-08-14_final
2017-08-29 09:15:48	ga_ls8c_ard_3-0-0_089088_2017-08-28_final
2017-10-30 09:28:22	ga_ls8c_ard_3-0-0_091088_2017-10-29_final
2017-11-24 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-11-23_final
2017-12-15 09:40:36	ga_ls8c_ard_3-0-0_093088_2017-12-15_final
2017-12-26 09:22:04	ga_ls8c_ard_3-0-0_090088_2017-12-25_final
2017-12-31 09:40:35	ga_ls8c_ard_3-0-0_093088_2017-12-31_final
2018-02-19 09:27:51	ga_ls8c_ard_3-0-0_091088_2018-02-18_final
2018-02-21 09:15:29	ga_ls8c_ard_3-0-0_089088_2018-02-20_final
2018-02-24 09:46:21	ga_ls8c_ard_3-0-0_094088_2018-02-24_final
2018-02-26 09:33:59	ga_ls8c_ard_3-0-0_092088_2018-02-26_final
2018-03-03 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-03-03_final
2018-03-16 09:21:27	ga_ls8c_ard_3-0-0_090088_2018-03-15_final
2018-03-19 09:52:20	ga_ls8c_ard_3-0-0_095088_2018-03-19_final
2018-04-01 09:21:20	ga_ls8c_ard_3-0-0_090088_2018-03-31_final
2018-04-04 09:52:13	ga_ls8c_ard_3-0-0_095088_2018-04-04_final
2018-05-03 09:21:02	ga_ls8c_ard_3-0-0_090088_2018-05-02_final
2018-05-06 09:51:54	ga_ls8c_ard_3-0-0_095088_2018-05-06_final
2018-07-02 09:45:40	ga_ls8c_ard_3-0-0_094088_2018-07-02_final
2018-07-04 09:32:56	ga_ls8c_ard_3-0-0_092087_2018-07-04_final
2018-07-04 09:33:20	ga_ls8c_ard_3-0-0_092088_2018-07-04_final
2018-07-06 09:20:59	ga_ls8c_ard_3-0-0_090088_2018-07-05_final
2018-07-09 09:51:31	ga_ls8c_ard_3-0-0_095087_2018-07-09_final
2018-07-09 09:51:55	ga_ls8c_ard_3-0-0_095088_2018-07-09_final
2018-07-18 09:45:48	ga_ls8c_ard_3-0-0_094088_2018-07-18_final
2019-03-08 09:40:04	ga_ls8c_ard_3-1-0_093088_2019-03-08_final
2019-03-15 09:46:12	ga_ls8c_ard_3-1-0_094088_2019-03-15_final
2019-06-19 09:46:03	ga_ls8c_ard_3-1-0_094087_2019-06-19_final
2019-06-19 09:46:27	ga_ls8c_ard_3-1-0_094088_2019-06-19_final
2019-07-16 09:28:01	ga_ls8c_ard_3-1-0_091088_2019-07-15_final
2019-07-25 09:21:53	ga_ls8c_ard_3-1-0_090088_2019-07-24_final
2019-08-10 09:22:00	ga_ls8c_ard_3-1-0_090088_2019-08-09_final
2019-10-13 09:22:17	ga_ls8c_ard_3-1-0_090088_2019-10-12_final
2019-11-19 09:40:21	ga_ls8c_ard_3-1-0_093087_2019-11-19_final
2019-11-19 09:40:45	ga_ls8c_ard_3-1-0_093088_2019-11-19_final
2019-11-21 09:28:23	ga_ls8c_ard_3-1-0_091088_2019-11-20_final
2021-01-06 09:53:02	ga_ls8c_ard_3-2-0_095088_2021-01-06_final
2021-01-12 09:15:31	ga_ls8c_ard_3-2-0_089087_2021-01-11_final
2021-01-12 09:15:55	ga_ls8c_ard_3-2-0_089088_2021-01-11_final
2021-01-19 09:22:02	ga_ls8c_ard_3-2-0_090088_2021-01-18_final
2021-01-22 09:52:56	ga_ls8c_ard_3-2-0_095088_2021-01-22_final
2021-01-24 09:40:34	ga_ls8c_ard_3-2-0_093088_2021-01-24_final
2021-01-26 09:28:12	ga_ls8c_ard_3-2-0_091088_2021-01-25_final
2021-01-28 09:15:51	ga_ls8c_ard_3-2-0_089088_2021-01-27_final
2021-02-02 09:34:22	ga_ls8c_ard_3-2-0_092088_2021-02-02_final
2021-02-04 09:22:01	ga_ls8c_ard_3-2-0_090088_2021-02-03_final
2021-03-01 09:15:42	ga_ls8c_ard_3-2-0_089088_2021-02-28_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
2021-04-12 09:52:30	ga_ls8c_ard_3-2-0_095088_2021-04-12_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-04-16 09:27:45	ga_ls8c_ard_3-2-0_091088_2021-04-15_final
2021-04-18 09:15:23	ga_ls8c_ard_3-2-0_089088_2021-04-17_final
2021-04-21 09:46:15	ga_ls8c_ard_3-2-0_094088_2021-04-21_final
2021-04-23 09:33:52	ga_ls8c_ard_3-2-0_092088_2021-04-23_final
2021-04-25 09:21:30	ga_ls8c_ard_3-2-0_090088_2021-04-24_final
2021-04-28 09:52:22	ga_ls8c_ard_3-2-0_095088_2021-04-28_final
2021-04-30 09:39:59	ga_ls8c_ard_3-2-0_093088_2021-04-30_final
2021-05-02 09:27:36	ga_ls8c_ard_3-2-0_091088_2021-05-01_final
2021-05-04 09:15:13	ga_ls8c_ard_3-2-0_089088_2021-05-03_final
2021-10-16 09:34:16	ga_ls8c_ard_3-2-0_092087_2021-10-16_final
2021-10-16 09:34:40	ga_ls8c_ard_3-2-0_092088_2021-10-16_final
2021-12-28 09:28:20	ga_ls8c_ard_3-2-1_091088_2021-12-27_final
2022-01-02 09:46:27	ga_ls8c_ard_3-2-1_094087_2022-01-02_final
2022-01-04 09:34:30	ga_ls8c_ard_3-2-1_092088_2022-01-04_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
2022-01-15 09:15:56	ga_ls8c_ard_3-2-1_089088_2022-01-14_final
2022-01-20 09:34:27	ga_ls8c_ard_3-2-1_092088_2022-01-20_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