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:

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First 100 results (query limit)

Time (local)	Label
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
2015-01-24 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
2015-02-04 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
2015-03-13 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
2015-03-29 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
2015-04-28 09:52:04	ga_ls8c_ard_3-0-0_095088_2015-04-28_final
2015-05-07 09:45:43	ga_ls8c_ard_3-0-0_094088_2015-05-07_final
2015-05-27 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-26_final
2015-06-08 09:45:26	ga_ls8c_ard_3-0-0_094087_2015-06-08_final
2015-06-08 09:45:50	ga_ls8c_ard_3-0-0_094088_2015-06-08_final
2015-06-21 09:14:37	ga_ls8c_ard_3-0-0_089087_2015-06-20_final
2015-06-21 09:15:01	ga_ls8c_ard_3-0-0_089088_2015-06-20_final
2015-06-22 09:57:53	ga_ls8c_ard_3-0-0_096087_2015-06-22_final
2016-05-16 09:51:57	ga_ls8c_ard_3-0-0_095087_2016-05-16_final
2016-05-16 09:52:21	ga_ls8c_ard_3-0-0_095088_2016-05-16_final
2016-05-22 09:14:55	ga_ls8c_ard_3-0-0_089087_2016-05-21_final
2016-05-22 09:15:19	ga_ls8c_ard_3-0-0_089088_2016-05-21_final
2016-06-12 09:33:33	ga_ls8c_ard_3-0-0_092087_2016-06-12_final
2016-06-12 09:33:56	ga_ls8c_ard_3-0-0_092088_2016-06-12_final
2016-07-12 09:46:32	ga_ls8c_ard_3-0-0_094088_2016-07-12_final
2016-07-14 09:33:48	ga_ls8c_ard_3-0-0_092087_2016-07-14_final
2016-07-14 09:34:12	ga_ls8c_ard_3-0-0_092088_2016-07-14_final
2016-08-04 09:52:25	ga_ls8c_ard_3-0-0_095087_2016-08-04_final
2016-08-04 09:52:49	ga_ls8c_ard_3-0-0_095088_2016-08-04_final
2016-08-29 09:46:23	ga_ls8c_ard_3-0-0_094087_2016-08-29_final
2016-08-29 09:46:47	ga_ls8c_ard_3-0-0_094088_2016-08-29_final
2016-08-31 09:34:26	ga_ls8c_ard_3-0-0_092088_2016-08-31_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-10-11 09:28:23	ga_ls8c_ard_3-0-0_091088_2016-10-10_final
2016-10-23 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-10-23_final
2016-10-27 09:28:25	ga_ls8c_ard_3-0-0_091088_2016-10-26_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 09:34:36	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
2016-11-24 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-11-24_final
2016-11-28 09:28:24	ga_ls8c_ard_3-0-0_091088_2016-11-27_final
2016-11-30 09:16:02	ga_ls8c_ard_3-0-0_089088_2016-11-29_final
2016-12-03 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-12-03_final
2016-12-05 09:34:34	ga_ls8c_ard_3-0-0_092088_2016-12-05_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
2016-12-23 09:22:07	ga_ls8c_ard_3-0-0_090088_2016-12-22_final
2016-12-26 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-12-26_final
2016-12-30 09:28:18	ga_ls8c_ard_3-0-0_091088_2016-12-29_final
2017-01-01 09:15:56	ga_ls8c_ard_3-0-0_089088_2016-12-31_final
2017-01-08 09:22:05	ga_ls8c_ard_3-0-0_090088_2017-01-07_final
2017-01-22 09:34:22	ga_ls8c_ard_3-0-0_092088_2017-01-22_final
2017-01-29 09:40:30	ga_ls8c_ard_3-0-0_093088_2017-01-29_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
2017-02-16 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
2017-02-23 09:34:09	ga_ls8c_ard_3-0-0_092088_2017-02-23_final
2017-02-25 09:21:46	ga_ls8c_ard_3-0-0_090088_2017-02-24_final
2017-02-28 09:52:39	ga_ls8c_ard_3-0-0_095088_2017-02-28_final
2017-03-02 09:40:17	ga_ls8c_ard_3-0-0_093088_2017-03-02_final
2017-03-04 09:27:54	ga_ls8c_ard_3-0-0_091088_2017-03-03_final
2017-03-13 09:21:38	ga_ls8c_ard_3-0-0_090088_2017-03-12_final
2017-03-16 09:52:30	ga_ls8c_ard_3-0-0_095088_2017-03-16_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-06-23 09:51:22	ga_ls8c_ard_3-0-0_095087_2018-06-23_final
2018-06-23 09:51:46	ga_ls8c_ard_3-0-0_095088_2018-06-23_final
2019-12-28 09:46:51	ga_ls8c_ard_3-1-0_094088_2019-12-28_final
2019-12-30 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-12-30_final
2020-01-29 09:46:43	ga_ls8c_ard_3-1-0_094088_2020-01-29_final
2020-01-31 09:34:20	ga_ls8c_ard_3-1-0_092088_2020-01-31_final
2020-02-09 09:28:07	ga_ls8c_ard_3-1-0_091088_2020-02-08_final
2020-02-21 09:52:48	ga_ls8c_ard_3-1-0_095088_2020-02-21_final
2020-04-18 09:46:11	ga_ls8c_ard_3-1-0_094088_2020-04-18_final
2020-04-27 09:39:56	ga_ls8c_ard_3-1-0_093088_2020-04-27_final
2020-04-29 09:27:33	ga_ls8c_ard_3-1-0_091088_2020-04-28_final
2020-05-29 09:39:53	ga_ls8c_ard_3-1-0_093088_2020-05-29_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 09:21:44	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 09:40:23	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

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