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
2015-10-28 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-10-28_final
2015-10-28 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-10-28_final
2015-10-30 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-10-30_final
2015-10-30 09:46:19	ga_ls8c_ard_3-0-0_094087_2015-10-30_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2017-03-23 09:57:48	ga_ls8c_ard_3-0-0_096086_2017-03-23_final
2017-03-23 09:58:12	ga_ls8c_ard_3-0-0_096087_2017-03-23_final
2017-03-25 09:45:50	ga_ls8c_ard_3-0-0_094087_2017-03-25_final
2017-04-01 09:51:58	ga_ls8c_ard_3-0-0_095087_2017-04-01_final
2017-04-03 09:39:11	ga_ls8c_ard_3-0-0_093086_2017-04-03_final
2017-04-03 09:39:35	ga_ls8c_ard_3-0-0_093087_2017-04-03_final
2017-04-26 09:45:09	ga_ls8c_ard_3-0-0_094086_2017-04-26_final
2017-04-26 09:45:33	ga_ls8c_ard_3-0-0_094087_2017-04-26_final
2017-05-03 09:51:16	ga_ls8c_ard_3-0-0_095086_2017-05-03_final
2017-05-03 09:51:40	ga_ls8c_ard_3-0-0_095087_2017-05-03_final
2017-05-05 09:38:56	ga_ls8c_ard_3-0-0_093086_2017-05-05_final
2017-05-05 09:39:20	ga_ls8c_ard_3-0-0_093087_2017-05-05_final
2017-05-10 09:57:32	ga_ls8c_ard_3-0-0_096086_2017-05-10_final
2017-05-10 09:57:56	ga_ls8c_ard_3-0-0_096087_2017-05-10_final
2017-05-12 09:45:12	ga_ls8c_ard_3-0-0_094086_2017-05-12_final
2017-05-12 09:45:36	ga_ls8c_ard_3-0-0_094087_2017-05-12_final
2017-05-19 09:51:28	ga_ls8c_ard_3-0-0_095086_2017-05-19_final
2017-05-19 09:51:52	ga_ls8c_ard_3-0-0_095087_2017-05-19_final
2017-05-21 09:39:08	ga_ls8c_ard_3-0-0_093086_2017-05-21_final
2017-05-21 09:39:32	ga_ls8c_ard_3-0-0_093087_2017-05-21_final
2017-05-23 09:26:47	ga_ls8c_ard_3-0-0_091086_2017-05-22_final
2017-05-23 09:27:11	ga_ls8c_ard_3-0-0_091087_2017-05-22_final
2017-06-04 09:51:37	ga_ls8c_ard_3-0-0_095086_2017-06-04_final
2017-06-04 09:52:01	ga_ls8c_ard_3-0-0_095087_2017-06-04_final
2017-06-06 09:39:16	ga_ls8c_ard_3-0-0_093086_2017-06-06_final
2017-06-06 09:39:40	ga_ls8c_ard_3-0-0_093087_2017-06-06_final
2017-06-08 09:26:56	ga_ls8c_ard_3-0-0_091086_2017-06-07_final
2017-06-08 09:27:20	ga_ls8c_ard_3-0-0_091087_2017-06-07_final
2017-06-20 09:51:43	ga_ls8c_ard_3-0-0_095086_2017-06-20_final
2017-06-20 09:52:07	ga_ls8c_ard_3-0-0_095087_2017-06-20_final
2017-06-22 09:39:22	ga_ls8c_ard_3-0-0_093086_2017-06-22_final
2017-06-22 09:39:46	ga_ls8c_ard_3-0-0_093087_2017-06-22_final
2017-06-24 09:27:01	ga_ls8c_ard_3-0-0_091086_2017-06-23_final
2017-06-24 09:27:25	ga_ls8c_ard_3-0-0_091087_2017-06-23_final
2018-02-10 09:33:17	ga_ls8c_ard_3-0-0_092086_2018-02-10_final
2018-02-10 09:33:41	ga_ls8c_ard_3-0-0_092087_2018-02-10_final
2018-02-12 09:20:55	ga_ls8c_ard_3-0-0_090086_2018-02-11_final
2018-02-12 09:21:19	ga_ls8c_ard_3-0-0_090087_2018-02-11_final
2018-03-08 10:10:10	ga_ls8c_ard_3-0-0_098086_2018-03-08_final
2018-03-09 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-03-08_final
2018-03-14 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-03-14_final
2018-03-14 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-03-14_final
2018-03-16 09:21:03	ga_ls8c_ard_3-0-0_090087_2018-03-15_final
2018-03-17 10:03:54	ga_ls8c_ard_3-0-0_097086_2018-03-17_final
2018-03-24 10:10:02	ga_ls8c_ard_3-0-0_098086_2018-03-24_final
2018-03-25 09:14:25	ga_ls8c_ard_3-0-0_089086_2018-03-24_final
2018-03-25 09:14:49	ga_ls8c_ard_3-0-0_089087_2018-03-24_final
2018-04-29 09:45:24	ga_ls8c_ard_3-0-0_094087_2018-04-29_final
2018-05-01 09:33:01	ga_ls8c_ard_3-0-0_092087_2018-05-01_final
2018-05-10 09:26:21	ga_ls8c_ard_3-0-0_091086_2018-05-09_final
2018-05-10 09:26:45	ga_ls8c_ard_3-0-0_091087_2018-05-09_final
2018-05-11 10:09:36	ga_ls8c_ard_3-0-0_098086_2018-05-11_final
2018-05-12 09:14:22	ga_ls8c_ard_3-0-0_089087_2018-05-11_final
2018-05-15 09:45:14	ga_ls8c_ard_3-0-0_094087_2018-05-15_final
2018-05-17 09:32:26	ga_ls8c_ard_3-0-0_092086_2018-05-17_final
2018-05-17 09:32:50	ga_ls8c_ard_3-0-0_092087_2018-05-17_final
2018-07-02 09:44:52	ga_ls8c_ard_3-0-0_094086_2018-07-02_final
2018-07-02 09:45:16	ga_ls8c_ard_3-0-0_094087_2018-07-02_final
2018-09-02 09:57:44	ga_ls8c_ard_3-0-0_096086_2018-09-02_final
2018-09-02 09:58:08	ga_ls8c_ard_3-0-0_096087_2018-09-02_final
2018-09-04 09:45:23	ga_ls8c_ard_3-0-0_094086_2018-09-04_final
2018-09-04 09:45:47	ga_ls8c_ard_3-0-0_094087_2018-09-04_final
2019-11-22 10:10:51	ga_ls8c_ard_3-1-0_098086_2019-11-22_final
2019-11-23 09:15:14	ga_ls8c_ard_3-1-0_089086_2019-11-22_final
2019-11-23 09:15:38	ga_ls8c_ard_3-1-0_089087_2019-11-22_final
2019-12-12 09:46:07	ga_ls8c_ard_3-1-0_094086_2019-12-12_final
2019-12-12 09:46:31	ga_ls8c_ard_3-1-0_094087_2019-12-12_final
2019-12-14 09:33:45	ga_ls8c_ard_3-2-0_092086_2019-12-14_final
2019-12-14 09:34:09	ga_ls8c_ard_3-2-0_092087_2019-12-14_final
2019-12-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2019-12-15_final
2019-12-16 09:21:47	ga_ls8c_ard_3-2-0_090087_2019-12-15_final
2019-12-17 10:04:38	ga_ls8c_ard_3-2-0_097086_2019-12-17_final
2019-12-19 09:52:16	ga_ls8c_ard_3-2-0_095086_2019-12-19_final
2019-12-19 09:52:40	ga_ls8c_ard_3-2-0_095087_2019-12-19_final
2019-12-23 09:27:32	ga_ls8c_ard_3-1-0_091086_2019-12-22_final
2019-12-23 09:27:56	ga_ls8c_ard_3-1-0_091087_2019-12-22_final
2019-12-24 10:10:48	ga_ls8c_ard_3-1-0_098086_2019-12-24_final
2019-12-25 09:15:10	ga_ls8c_ard_3-1-0_089086_2019-12-24_final
2019-12-25 09:15:34	ga_ls8c_ard_3-1-0_089087_2019-12-24_final
2020-03-12 09:27:09	ga_ls8c_ard_3-1-0_091086_2020-03-11_final
2020-03-12 09:27:33	ga_ls8c_ard_3-1-0_091087_2020-03-11_final
2020-04-29 09:27:09	ga_ls8c_ard_3-1-0_091087_2020-04-28_final
2020-05-09 10:03:44	ga_ls8c_ard_3-1-0_097086_2020-05-09_final
2020-05-31 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-05-30_final
2020-05-31 09:27:09	ga_ls8c_ard_3-1-0_091087_2020-05-30_final
2020-06-05 09:45:21	ga_ls8c_ard_3-1-0_094086_2020-06-05_final
2020-06-05 09:45:45	ga_ls8c_ard_3-1-0_094087_2020-06-05_final
2020-06-07 09:33:01	ga_ls8c_ard_3-1-0_092086_2020-06-07_final
2020-06-07 09:33:25	ga_ls8c_ard_3-1-0_092087_2020-06-07_final
2020-06-19 09:57:51	ga_ls8c_ard_3-1-0_096086_2020-06-19_final
2020-06-19 09:58:15	ga_ls8c_ard_3-1-0_096087_2020-06-19_final
2020-06-21 09:45:31	ga_ls8c_ard_3-1-0_094086_2020-06-21_final
2020-06-21 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-06-21_final
2020-06-23 09:33:10	ga_ls8c_ard_3-1-0_092086_2020-06-23_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