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
2015-01-15 09:46:14	ga_ls8c_ard_3-0-0_094087_2015-01-15_final
2015-01-17 09:33:52	ga_ls8c_ard_3-0-0_092087_2015-01-17_final
2015-01-19 09:21:29	ga_ls8c_ard_3-0-0_090087_2015-01-18_final
2015-02-07 09:52:18	ga_ls8c_ard_3-0-0_095087_2015-02-07_final
2015-02-09 09:39:55	ga_ls8c_ard_3-0-0_093087_2015-02-09_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2015-02-18 09:33:40	ga_ls8c_ard_3-0-0_092087_2015-02-18_final
2015-02-20 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-02-19_final
2015-02-25 09:39:50	ga_ls8c_ard_3-0-0_093087_2015-02-25_final
2015-02-27 09:27:27	ga_ls8c_ard_3-0-0_091087_2015-02-26_final
2015-03-01 09:15:05	ga_ls8c_ard_3-0-0_089087_2015-02-28_final
2015-03-06 09:33:34	ga_ls8c_ard_3-0-0_092087_2015-03-06_final
2015-03-08 09:21:10	ga_ls8c_ard_3-0-0_090087_2015-03-07_final
2015-03-22 09:33:24	ga_ls8c_ard_3-0-0_092087_2015-03-22_final
2015-03-24 09:21:01	ga_ls8c_ard_3-0-0_090087_2015-03-23_final
2015-04-07 09:33:13	ga_ls8c_ard_3-0-0_092087_2015-04-07_final
2015-04-09 09:20:52	ga_ls8c_ard_3-0-0_090087_2015-04-08_final
2015-04-19 09:57:57	ga_ls8c_ard_3-0-0_096087_2015-04-19_final
2015-04-25 09:20:49	ga_ls8c_ard_3-0-0_090087_2015-04-24_final
2015-05-04 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-05-03_final
2015-05-07 09:45:19	ga_ls8c_ard_3-0-0_094087_2015-05-07_final
2015-05-09 09:32:56	ga_ls8c_ard_3-0-0_092087_2015-05-09_final
2015-05-11 09:20:33	ga_ls8c_ard_3-0-0_090087_2015-05-10_final
2015-05-20 09:14:21	ga_ls8c_ard_3-0-0_089087_2015-05-19_final
2015-05-21 09:57:13	ga_ls8c_ard_3-0-0_096086_2015-05-21_final
2015-05-21 09:57:37	ga_ls8c_ard_3-0-0_096087_2015-05-21_final
2015-05-30 09:51:04	ga_ls8c_ard_3-0-0_095086_2015-05-30_final
2015-05-30 09:51:28	ga_ls8c_ard_3-0-0_095087_2015-05-30_final
2015-06-01 09:39:09	ga_ls8c_ard_3-0-0_093087_2015-06-01_final
2015-06-03 09:26:49	ga_ls8c_ard_3-0-0_091087_2015-06-02_final
2015-06-08 09:45:26	ga_ls8c_ard_3-0-0_094087_2015-06-08_final
2015-06-12 09:20:21	ga_ls8c_ard_3-0-0_090086_2015-06-11_final
2015-06-12 09:20:45	ga_ls8c_ard_3-0-0_090087_2015-06-11_final
2015-06-15 09:51:17	ga_ls8c_ard_3-0-0_095086_2015-06-15_final
2015-06-15 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-06-15_final
2015-06-17 09:38:56	ga_ls8c_ard_3-0-0_093086_2015-06-17_final
2015-06-17 09:39:20	ga_ls8c_ard_3-0-0_093087_2015-06-17_final
2015-06-19 09:26:35	ga_ls8c_ard_3-0-0_091086_2015-06-18_final
2015-06-19 09:26:59	ga_ls8c_ard_3-0-0_091087_2015-06-18_final
2015-12-10 09:40:08	ga_ls8c_ard_3-0-0_093087_2015-12-10_final
2015-12-12 09:27:47	ga_ls8c_ard_3-0-0_091087_2015-12-11_final
2015-12-24 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-12-24_final
2016-01-20 09:33:56	ga_ls8c_ard_3-0-0_092087_2016-01-20_final
2016-01-22 09:21:34	ga_ls8c_ard_3-0-0_090087_2016-01-21_final
2016-04-16 09:39:37	ga_ls8c_ard_3-0-0_093087_2016-04-16_final
2016-04-18 09:27:14	ga_ls8c_ard_3-0-0_091087_2016-04-17_final
2016-05-02 09:39:39	ga_ls8c_ard_3-0-0_093087_2016-05-02_final
2016-05-13 09:21:01	ga_ls8c_ard_3-0-0_090087_2016-05-12_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
2017-10-03 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
2017-10-10 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
2017-10-24 10:04:39	ga_ls8c_ard_3-0-0_097086_2017-10-24_final
2017-11-24 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-11-23_final
2017-12-26 09:21:40	ga_ls8c_ard_3-0-0_090087_2017-12-25_final
2018-02-19 09:27:27	ga_ls8c_ard_3-0-0_091087_2018-02-18_final
2018-02-21 09:15:05	ga_ls8c_ard_3-0-0_089087_2018-02-20_final
2018-02-22 09:58:20	ga_ls8c_ard_3-0-0_096087_2018-02-22_final
2018-04-20 09:51:39	ga_ls8c_ard_3-0-0_095087_2018-04-20_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-04 09:20:16	ga_ls8c_ard_3-0-0_090087_2018-06-03_final
2018-06-05 10:03:08	ga_ls8c_ard_3-0-0_097086_2018-06-05_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
2019-07-05 09:46:08	ga_ls8c_ard_3-1-0_094087_2019-07-05_final
2019-07-07 09:33:46	ga_ls8c_ard_3-1-0_092087_2019-07-07_final
2019-07-14 09:39:58	ga_ls8c_ard_3-1-0_093087_2019-07-14_final
2019-07-16 09:27:13	ga_ls8c_ard_3-1-0_091086_2019-07-15_final
2019-07-16 09:27:37	ga_ls8c_ard_3-1-0_091087_2019-07-15_final
2019-07-21 09:46:11	ga_ls8c_ard_3-1-0_094087_2019-07-21_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-25 09:21:29	ga_ls8c_ard_3-1-0_090087_2019-07-24_final
2019-08-06 09:46:18	ga_ls8c_ard_3-1-0_094087_2019-08-06_final
2019-08-08 09:33:57	ga_ls8c_ard_3-1-0_092087_2019-08-08_final
2019-08-10 09:21:36	ga_ls8c_ard_3-1-0_090087_2019-08-09_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-08-17 09:27:49	ga_ls8c_ard_3-1-0_091087_2019-08-16_final
2019-08-19 09:15:28	ga_ls8c_ard_3-1-0_089087_2019-08-18_final
2019-08-20 09:58:44	ga_ls8c_ard_3-1-0_096087_2019-08-20_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-23 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-09-23_final
2019-10-02 09:40:23	ga_ls8c_ard_3-1-0_093087_2019-10-02_final
2019-10-04 09:28:02	ga_ls8c_ard_3-1-0_091087_2019-10-03_final
2019-10-18 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-10-18_final
2019-10-20 09:28:04	ga_ls8c_ard_3-1-0_091087_2019-10-19_final
2019-10-21 10:10:56	ga_ls8c_ard_3-1-0_098086_2019-10-21_final
2019-10-22 09:15:42	ga_ls8c_ard_3-1-0_089087_2019-10-21_final
2019-10-23 09:58:58	ga_ls8c_ard_3-1-0_096087_2019-10-23_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_final
2019-11-10 09:46:35	ga_ls8c_ard_3-1-0_094087_2019-11-10_final
2019-11-12 09:33:49	ga_ls8c_ard_3-1-0_092086_2019-11-12_final
2019-11-12 09:34:13	ga_ls8c_ard_3-1-0_092087_2019-11-12_final
2019-11-19 09:40:21	ga_ls8c_ard_3-1-0_093087_2019-11-19_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