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
2014-07-25 09:33:44	ga_ls8c_ard_3-0-0_092087_2014-07-25_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-08-01 09:40:00	ga_ls8c_ard_3-0-0_093087_2014-08-01_final
2014-08-03 09:27:39	ga_ls8c_ard_3-0-0_091087_2014-08-02_final
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_final
2014-09-20 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-19_final
2014-09-20 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-19_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2014-10-13 09:34:04	ga_ls8c_ard_3-0-0_092087_2014-10-13_final
2014-10-15 09:21:43	ga_ls8c_ard_3-0-0_090087_2014-10-14_final
2014-10-20 09:40:16	ga_ls8c_ard_3-0-0_093087_2014-10-20_final
2014-10-27 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-10-27_final
2014-10-29 09:33:37	ga_ls8c_ard_3-0-0_092086_2014-10-29_final
2014-10-29 09:34:01	ga_ls8c_ard_3-0-0_092087_2014-10-29_final
2014-10-31 09:21:39	ga_ls8c_ard_3-0-0_090087_2014-10-30_final
2014-11-03 09:52:35	ga_ls8c_ard_3-0-0_095087_2014-11-03_final
2014-11-05 09:40:15	ga_ls8c_ard_3-0-0_093087_2014-11-05_final
2014-11-07 09:27:54	ga_ls8c_ard_3-0-0_091087_2014-11-06_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2014-11-23 09:27:50	ga_ls8c_ard_3-0-0_091087_2014-11-22_final
2014-12-02 09:21:41	ga_ls8c_ard_3-0-0_090087_2014-12-01_final
2014-12-14 09:46:18	ga_ls8c_ard_3-0-0_094087_2014-12-14_final
2014-12-16 09:33:58	ga_ls8c_ard_3-0-0_092087_2014-12-16_final
2014-12-18 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-12-17_final
2015-12-24 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-12-24_final
2016-01-27 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-27_final
2016-01-29 09:27:44	ga_ls8c_ard_3-0-0_091087_2016-01-28_final
2016-02-23 09:21:23	ga_ls8c_ard_3-0-0_090087_2016-02-22_final
2016-02-26 09:52:17	ga_ls8c_ard_3-0-0_095087_2016-02-26_final
2016-03-10 09:21:21	ga_ls8c_ard_3-0-0_090087_2016-03-09_final
2016-03-13 09:52:14	ga_ls8c_ard_3-0-0_095087_2016-03-13_final
2016-03-29 09:52:04	ga_ls8c_ard_3-0-0_095087_2016-03-29_final
2017-03-22 09:14:57	ga_ls8c_ard_3-0-0_089087_2017-03-21_final
2017-03-23 09:58:12	ga_ls8c_ard_3-0-0_096087_2017-03-23_final
2017-04-17 09:51:50	ga_ls8c_ard_3-0-0_095087_2017-04-17_final
2017-04-19 09:39:27	ga_ls8c_ard_3-0-0_093087_2017-04-19_final
2017-04-21 09:27:04	ga_ls8c_ard_3-0-0_091087_2017-04-20_final
2017-04-24 09:57:56	ga_ls8c_ard_3-0-0_096087_2017-04-24_final
2017-06-02 10:03:58	ga_ls8c_ard_3-0-0_097086_2017-06-02_final
2017-06-04 09:52:01	ga_ls8c_ard_3-0-0_095087_2017-06-04_final
2017-06-06 09:39:40	ga_ls8c_ard_3-0-0_093087_2017-06-06_final
2017-06-08 09:27:20	ga_ls8c_ard_3-0-0_091087_2017-06-07_final
2017-07-17 09:33:41	ga_ls8c_ard_3-0-0_092087_2017-07-17_final
2017-07-19 09:21:21	ga_ls8c_ard_3-0-0_090087_2017-07-18_final
2017-07-20 10:04:13	ga_ls8c_ard_3-0-0_097086_2017-07-20_final
2017-07-22 09:52:16	ga_ls8c_ard_3-0-0_095087_2017-07-22_final
2017-07-24 09:39:56	ga_ls8c_ard_3-0-0_093087_2017-07-24_final
2017-07-26 09:27:11	ga_ls8c_ard_3-0-0_091086_2017-07-25_final
2017-07-26 09:27:35	ga_ls8c_ard_3-1-0_091087_2017-07-25_final
2017-08-12 10:10:34	ga_ls8c_ard_3-0-0_098086_2017-08-12_final
2017-08-13 09:14:57	ga_ls8c_ard_3-0-0_089086_2017-08-12_final
2017-08-13 09:15:21	ga_ls8c_ard_3-0-0_089087_2017-08-12_final
2017-08-14 09:58:37	ga_ls8c_ard_3-0-0_096087_2017-08-14_final
2017-08-18 09:33:31	ga_ls8c_ard_3-0-0_092086_2017-08-18_final
2017-08-18 09:33:55	ga_ls8c_ard_3-0-0_092087_2017-08-18_final
2017-08-28 10:10:38	ga_ls8c_ard_3-0-0_098086_2017-08-28_final
2017-08-29 09:15:24	ga_ls8c_ard_3-0-0_089087_2017-08-28_final
2017-08-30 09:58:16	ga_ls8c_ard_3-0-0_096086_2017-08-30_final
2017-08-30 09:58:40	ga_ls8c_ard_3-0-0_096087_2017-08-30_final
2017-09-05 09:21:36	ga_ls8c_ard_3-0-0_090087_2017-09-04_final
2017-09-08 09:52:30	ga_ls8c_ard_3-0-0_095087_2017-09-08_final
2017-09-12 09:27:47	ga_ls8c_ard_3-0-0_091087_2017-09-11_final
2017-09-17 09:46:20	ga_ls8c_ard_3-0-0_094087_2017-09-17_final
2017-09-19 09:33:36	ga_ls8c_ard_3-0-0_092086_2017-09-19_final
2017-09-19 09:34:00	ga_ls8c_ard_3-0-0_092087_2017-09-19_final
2017-09-21 09:21:39	ga_ls8c_ard_3-0-0_090087_2017-09-20_final
2017-10-03 09:46:27	ga_ls8c_ard_3-0-0_094087_2017-10-03_final
2017-10-05 09:33:42	ga_ls8c_ard_3-0-0_092086_2017-10-05_final
2017-10-05 09:34:06	ga_ls8c_ard_3-0-0_092087_2017-10-05_final
2017-10-07 09:21:45	ga_ls8c_ard_3-0-0_090087_2017-10-06_final
2017-10-10 09:52:16	ga_ls8c_ard_3-0-0_095086_2017-10-10_final
2017-10-10 09:52:40	ga_ls8c_ard_3-0-0_095087_2017-10-10_final
2017-10-14 09:27:57	ga_ls8c_ard_3-0-0_091087_2017-10-13_final
2017-10-16 09:15:36	ga_ls8c_ard_3-0-0_089087_2017-10-15_final
2017-10-17 09:58:52	ga_ls8c_ard_3-0-0_096087_2017-10-17_final
2017-10-26 09:52:42	ga_ls8c_ard_3-0-0_095087_2017-10-26_final
2017-11-11 09:52:39	ga_ls8c_ard_3-0-0_095087_2017-11-11_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-11-25 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-11-25_final
2017-11-27 09:52:09	ga_ls8c_ard_3-0-0_095086_2017-11-27_final
2017-11-27 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-11-27_final
2017-12-13 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-12-13_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2017-12-29 09:52:10	ga_ls8c_ard_3-0-0_095086_2017-12-29_final
2017-12-29 09:52:34	ga_ls8c_ard_3-0-0_095087_2017-12-29_final
2018-01-30 09:52:18	ga_ls8c_ard_3-0-0_095087_2018-01-30_final
2018-02-08 09:46:03	ga_ls8c_ard_3-0-0_094087_2018-02-08_final
2018-02-10 09:33:41	ga_ls8c_ard_3-0-0_092087_2018-02-10_final
2018-02-12 09:21:19	ga_ls8c_ard_3-0-0_090087_2018-02-11_final
2018-05-19 09:20:27	ga_ls8c_ard_3-0-0_090087_2018-05-18_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-06-07 09:51:11	ga_ls8c_ard_3-0-0_095087_2018-06-07_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2018-06-23 09:50:58	ga_ls8c_ard_3-0-0_095086_2018-06-23_final
2018-06-23 09:51:22	ga_ls8c_ard_3-0-0_095087_2018-06-23_final
2020-03-10 09:39:56	ga_ls8c_ard_3-1-0_093087_2020-03-10_final
2020-04-02 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-04-02_final
2020-05-13 09:39:02	ga_ls8c_ard_3-1-0_093086_2020-05-13_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