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
2014-11-30 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
2014-12-07 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
2014-12-14 09:46:18	ga_ls8c_ard_3-0-0_094087_2014-12-14_final
2014-12-16 09:34:22	ga_ls8c_ard_3-0-0_092088_2014-12-16_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2014-12-23 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-12-23_final
2014-12-25 09:27:46	ga_ls8c_ard_3-0-0_091087_2014-12-24_final
2014-12-25 09:28:10	ga_ls8c_ard_3-0-0_091088_2014-12-24_final
2015-01-01 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-01_final
2015-01-03 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-01-02_final
2015-01-03 09:21:55	ga_ls8c_ard_3-0-0_090088_2015-01-02_final
2015-01-06 09:52:26	ga_ls8c_ard_3-0-0_095087_2015-01-06_final
2015-01-08 09:40:29	ga_ls8c_ard_3-0-0_093088_2015-01-08_final
2015-01-10 09:28:07	ga_ls8c_ard_3-0-0_091088_2015-01-09_final
2015-01-17 09:34:16	ga_ls8c_ard_3-0-0_092088_2015-01-17_final
2015-01-19 09:21:53	ga_ls8c_ard_3-0-0_090088_2015-01-18_final
2015-01-24 09:40:22	ga_ls8c_ard_3-0-0_093088_2015-01-24_final
2015-01-26 09:28:01	ga_ls8c_ard_3-0-0_091088_2015-01-25_final
2015-02-02 09:34:12	ga_ls8c_ard_3-0-0_092088_2015-02-02_final
2015-02-04 09:21:49	ga_ls8c_ard_3-0-0_090088_2015-02-03_final
2015-02-09 09:40:19	ga_ls8c_ard_3-0-0_093088_2015-02-09_final
2015-02-18 09:34:04	ga_ls8c_ard_3-0-0_092088_2015-02-18_final
2015-02-20 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-02-19_final
2015-02-25 09:39:50	ga_ls8c_ard_3-0-0_093087_2015-02-25_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
2015-03-01 09:15:29	ga_ls8c_ard_3-0-0_089088_2015-02-28_final
2015-03-06 09:33:58	ga_ls8c_ard_3-0-0_092088_2015-03-06_final
2015-03-08 09:21:34	ga_ls8c_ard_3-0-0_090088_2015-03-07_final
2015-03-11 09:52:25	ga_ls8c_ard_3-0-0_095088_2015-03-11_final
2015-03-13 09:40:02	ga_ls8c_ard_3-0-0_093088_2015-03-13_final
2015-03-15 09:27:40	ga_ls8c_ard_3-0-0_091088_2015-03-14_final
2015-03-20 09:46:11	ga_ls8c_ard_3-0-0_094088_2015-03-20_final
2015-03-22 09:33:48	ga_ls8c_ard_3-0-0_092088_2015-03-22_final
2015-03-24 09:21:25	ga_ls8c_ard_3-0-0_090088_2015-03-23_final
2015-03-29 09:39:54	ga_ls8c_ard_3-0-0_093088_2015-03-29_final
2015-03-31 09:27:30	ga_ls8c_ard_3-0-0_091088_2015-03-30_final
2015-04-05 09:45:59	ga_ls8c_ard_3-0-0_094088_2015-04-05_final
2015-04-07 09:33:37	ga_ls8c_ard_3-0-0_092088_2015-04-07_final
2015-04-09 09:21:16	ga_ls8c_ard_3-0-0_090088_2015-04-08_final
2015-04-12 09:52:10	ga_ls8c_ard_3-0-0_095088_2015-04-12_final
2018-11-04 09:15:14	ga_ls8c_ard_3-0-0_089087_2018-11-03_final
2018-11-04 09:15:38	ga_ls8c_ard_3-0-0_089088_2018-11-03_final
2018-12-06 09:15:12	ga_ls8c_ard_3-0-0_089087_2018-12-05_final
2018-12-06 09:15:36	ga_ls8c_ard_3-0-0_089088_2018-12-05_final
2019-01-07 09:15:34	ga_ls8c_ard_3-0-0_089088_2019-01-06_final
2022-11-15 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-11-14_final
2022-11-29 09:28:38	ga_ls8c_ard_3-2-1_091088_2022-11-28_final
2022-12-06 09:34:48	ga_ls8c_ard_3-2-1_092088_2022-12-06_final
2022-12-20 09:46:38	ga_ls8c_ard_3-2-1_094087_2022-12-20_final
2022-12-27 09:52:48	ga_ls8c_ard_3-2-1_095087_2022-12-27_final
2022-12-29 09:40:50	ga_ls8c_ard_3-2-1_093088_2022-12-29_final
2022-12-31 09:28:05	ga_ls8c_ard_3-2-1_091087_2022-12-30_final
2022-12-31 09:28:29	ga_ls8c_ard_3-2-1_091088_2022-12-30_final
2023-01-02 09:16:08	ga_ls8c_ard_3-2-1_089088_2023-01-01_final
2023-04-24 09:15:14	ga_ls8c_ard_3-2-1_089088_2023-04-23_final
2023-04-29 09:33:44	ga_ls8c_ard_3-2-1_092088_2023-04-29_final
2023-05-01 09:21:22	ga_ls8c_ard_3-2-1_090088_2023-04-30_final
2023-05-06 09:39:50	ga_ls8c_ard_3-2-1_093088_2023-05-06_final
2023-05-08 09:27:27	ga_ls8c_ard_3-2-1_091088_2023-05-07_final
2023-05-10 09:15:03	ga_ls8c_ard_3-2-1_089088_2023-05-09_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-05-17 09:21:09	ga_ls8c_ard_3-2-1_090088_2023-05-16_final
2023-09-04 09:34:14	ga_ls8c_ard_3-2-1_092088_2023-09-04_final
2023-09-06 09:21:27	ga_ls8c_ard_3-2-1_090087_2023-09-05_final
2023-09-06 09:21:51	ga_ls8c_ard_3-2-1_090088_2023-09-05_final
2023-09-09 09:52:23	ga_ls8c_ard_3-2-1_095087_2023-09-09_final
2023-09-11 09:40:27	ga_ls8c_ard_3-2-1_093088_2023-09-11_final
2023-09-13 09:27:43	ga_ls8c_ard_3-2-1_091087_2023-09-12_final
2023-09-13 09:28:07	ga_ls8c_ard_3-2-1_091088_2023-09-12_final
2023-09-15 09:15:46	ga_ls8c_ard_3-2-1_089088_2023-09-14_final
2023-09-20 09:33:55	ga_ls8c_ard_3-2-1_092087_2023-09-20_final
2023-09-20 09:34:19	ga_ls8c_ard_3-2-1_092088_2023-09-20_final
2023-09-22 09:21:33	ga_ls8c_ard_3-2-1_090087_2023-09-21_final
2023-09-22 09:21:57	ga_ls8c_ard_3-2-1_090088_2023-09-21_final
2023-09-27 09:40:08	ga_ls8c_ard_3-2-1_093087_2023-09-27_final
2023-09-27 09:40:32	ga_ls8c_ard_3-2-1_093088_2023-09-27_final
2023-09-29 09:27:47	ga_ls8c_ard_3-2-1_091087_2023-09-28_final
2023-09-29 09:28:11	ga_ls8c_ard_3-2-1_091088_2023-09-28_final
2023-10-01 09:15:50	ga_ls8c_ard_3-2-1_089088_2023-09-30_final
2023-10-06 09:33:58	ga_ls8c_ard_3-2-1_092087_2023-10-06_final
2023-10-06 09:34:22	ga_ls8c_ard_3-2-1_092088_2023-10-06_final
2023-10-08 09:21:38	ga_ls8c_ard_3-2-1_090087_2023-10-07_final
2023-10-08 09:22:02	ga_ls8c_ard_3-2-1_090088_2023-10-07_final
2023-10-13 09:40:12	ga_ls8c_ard_3-2-1_093087_2023-10-13_final
2023-10-13 09:40:36	ga_ls8c_ard_3-2-1_093088_2023-10-13_final
2023-10-15 09:27:50	ga_ls8c_ard_3-2-1_091087_2023-10-14_final
2023-10-15 09:28:14	ga_ls8c_ard_3-2-1_091088_2023-10-14_final
2023-10-29 09:40:15	ga_ls8c_ard_3-2-1_093087_2023-10-29_final
2023-10-29 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-10-29_final
2023-11-02 09:15:55	ga_ls8c_ard_3-2-1_089088_2023-11-01_final
2023-11-21 09:46:27	ga_ls8c_ard_3-2-1_094087_2023-11-21_final
2023-11-23 09:34:30	ga_ls8c_ard_3-2-1_092088_2023-11-23_final
2023-11-30 09:40:15	ga_ls8c_ard_3-2-1_093087_2023-11-30_final
2023-11-30 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-11-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years