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
2013-03-26 09:40:52	ga_ls8c_ard_3-0-0_093086_2013-03-26_final
2013-04-03 09:53:48	ga_ls8c_ard_3-0-0_095086_2013-04-03_final
2013-09-19 09:16:51	ga_ls8c_ard_3-0-0_089086_2013-09-18_final
2013-10-08 09:47:42	ga_ls8c_ard_3-0-0_094086_2013-10-08_final
2013-10-08 09:48:06	ga_ls8c_ard_3-0-0_094087_2013-10-08_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-10-12 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-10-11_final
2015-10-18 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-10-17_final
2015-10-19 10:04:23	ga_ls8c_ard_3-0-0_097086_2015-10-19_final
2015-11-19 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-11-18_final
2015-11-20 10:04:29	ga_ls8c_ard_3-0-0_097086_2015-11-20_final
2015-12-26 09:39:46	ga_ls8c_ard_3-0-0_093086_2015-12-26_final
2016-01-18 09:45:54	ga_ls8c_ard_3-0-0_094086_2016-01-18_final
2016-02-08 10:04:21	ga_ls8c_ard_3-0-0_097086_2016-02-08_final
2016-02-10 09:51:59	ga_ls8c_ard_3-0-0_095086_2016-02-10_final
2016-02-12 09:39:36	ga_ls8c_ard_3-0-0_093086_2016-02-12_final
2016-03-27 10:04:04	ga_ls8c_ard_3-0-0_097086_2016-03-27_final
2016-03-29 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-03-29_final
2016-03-31 09:39:17	ga_ls8c_ard_3-0-0_093086_2016-03-31_final
2016-04-11 09:20:42	ga_ls8c_ard_3-0-0_090086_2016-04-10_final
2016-04-12 10:03:57	ga_ls8c_ard_3-0-0_097086_2016-04-12_final
2016-04-14 09:51:35	ga_ls8c_ard_3-0-0_095086_2016-04-14_final
2016-04-27 09:20:38	ga_ls8c_ard_3-0-0_090086_2016-04-26_final
2016-04-28 10:03:54	ga_ls8c_ard_3-0-0_097086_2016-04-28_final
2016-04-30 09:51:35	ga_ls8c_ard_3-0-0_095086_2016-04-30_final
2016-05-09 09:45:23	ga_ls8c_ard_3-0-0_094086_2016-05-09_final
2016-05-09 09:45:47	ga_ls8c_ard_3-0-0_094087_2016-05-09_final
2018-07-30 10:09:48	ga_ls8c_ard_3-0-0_098086_2018-07-30_final
2018-07-31 09:14:12	ga_ls8c_ard_3-0-0_089086_2018-07-30_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-08-01 09:57:28	ga_ls8c_ard_3-0-0_096086_2018-08-01_final
2018-08-01 09:57:52	ga_ls8c_ard_3-0-0_096087_2018-08-01_final
2018-08-15 10:09:58	ga_ls8c_ard_3-0-0_098086_2018-08-15_final
2018-08-16 09:14:21	ga_ls8c_ard_3-0-0_089086_2018-08-15_final
2018-08-16 09:14:45	ga_ls8c_ard_3-0-0_089087_2018-08-15_final
2018-08-17 09:57:37	ga_ls8c_ard_3-0-0_096086_2018-08-17_final
2018-08-17 09:58:01	ga_ls8c_ard_3-0-0_096087_2018-08-17_final
2018-09-06 09:33:02	ga_ls8c_ard_3-0-0_092086_2018-09-06_final
2018-09-06 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-09-06_final
2018-09-08 09:20:41	ga_ls8c_ard_3-0-0_090086_2018-09-07_final
2018-09-08 09:21:05	ga_ls8c_ard_3-0-0_090087_2018-09-07_final
2018-09-16 10:10:09	ga_ls8c_ard_3-0-0_098086_2018-09-16_final
2018-09-17 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-09-16_final
2018-09-17 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-09-16_final
2018-09-18 09:57:48	ga_ls8c_ard_3-0-0_096086_2018-09-18_final
2018-09-18 09:58:12	ga_ls8c_ard_3-0-0_096087_2018-09-18_final
2018-09-24 09:20:46	ga_ls8c_ard_3-0-0_090086_2018-09-23_final
2018-09-24 09:21:10	ga_ls8c_ard_3-0-0_090087_2018-09-23_final
2018-09-25 10:04:02	ga_ls8c_ard_3-0-0_097086_2018-09-25_final
2018-10-11 10:04:10	ga_ls8c_ard_3-0-0_097086_2018-10-11_final
2018-10-13 09:51:49	ga_ls8c_ard_3-0-0_095086_2018-10-13_final
2018-10-13 09:52:13	ga_ls8c_ard_3-0-0_095087_2018-10-13_final
2018-10-26 09:20:59	ga_ls8c_ard_3-0-0_090086_2018-10-25_final
2018-10-26 09:21:23	ga_ls8c_ard_3-0-0_090087_2018-10-25_final
2018-10-27 10:04:15	ga_ls8c_ard_3-0-0_097086_2018-10-27_final
2019-07-14 09:39:34	ga_ls8c_ard_3-1-0_093086_2019-07-14_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
2019-08-17 09:27:25	ga_ls8c_ard_3-1-0_091086_2019-08-16_final
2019-08-18 10:10:41	ga_ls8c_ard_3-1-0_098086_2019-08-18_final
2019-08-19 09:15:04	ga_ls8c_ard_3-1-0_089086_2019-08-18_final
2019-08-19 09:15:28	ga_ls8c_ard_3-1-0_089087_2019-08-18_final
2019-08-20 09:58:20	ga_ls8c_ard_3-1-0_096086_2019-08-20_final
2019-08-20 09:58:44	ga_ls8c_ard_3-1-0_096087_2019-08-20_final
2019-10-22 09:15:18	ga_ls8c_ard_3-1-0_089086_2019-10-21_final
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_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
2020-01-17 09:21:15	ga_ls8c_ard_3-1-0_090086_2020-01-16_final
2020-01-22 09:39:46	ga_ls8c_ard_3-1-0_093086_2020-01-22_final
2020-01-24 09:27:24	ga_ls8c_ard_3-1-0_091086_2020-01-23_final
2020-01-27 09:58:17	ga_ls8c_ard_3-1-0_096086_2020-01-27_final
2020-02-14 09:45:51	ga_ls8c_ard_3-1-0_094086_2020-02-14_final
2020-02-16 09:33:29	ga_ls8c_ard_3-1-0_092086_2020-02-16_final
2020-02-16 09:33:53	ga_ls8c_ard_3-1-0_092087_2020-02-16_final
2020-02-27 09:14:53	ga_ls8c_ard_3-1-0_089086_2020-02-26_final
2020-03-01 09:45:46	ga_ls8c_ard_3-1-0_094086_2020-03-01_final
2020-03-03 09:33:24	ga_ls8c_ard_3-1-0_092086_2020-03-03_final
2020-03-06 10:04:17	ga_ls8c_ard_3-1-0_097086_2020-03-06_final
2020-03-08 09:51:54	ga_ls8c_ard_3-1-0_095086_2020-03-08_final
2020-03-08 09:52:18	ga_ls8c_ard_3-1-0_095087_2020-03-08_final
2020-03-29 10:10:15	ga_ls8c_ard_3-1-0_098086_2020-03-29_final
2020-03-30 09:14:38	ga_ls8c_ard_3-1-0_089086_2020-03-29_final
2020-03-31 09:57:53	ga_ls8c_ard_3-1-0_096086_2020-03-31_final
2020-04-14 10:10:08	ga_ls8c_ard_3-1-0_098086_2020-04-14_final
2020-04-15 09:14:31	ga_ls8c_ard_3-1-0_089086_2020-04-14_final
2020-04-22 09:20:38	ga_ls8c_ard_3-1-0_090086_2020-04-21_final
2020-04-23 10:03:53	ga_ls8c_ard_3-1-0_097086_2020-04-23_final
2020-05-04 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-04_final
2020-05-06 09:32:52	ga_ls8c_ard_3-1-0_092086_2020-05-06_final
2020-05-11 09:51:23	ga_ls8c_ard_3-1-0_095086_2020-05-11_final
2020-05-11 09:51:47	ga_ls8c_ard_3-1-0_095087_2020-05-11_final
2020-05-22 09:32:54	ga_ls8c_ard_3-1-0_092086_2020-05-22_final
2020-05-22 09:33:17	ga_ls8c_ard_3-1-0_092087_2020-05-22_final
2020-05-24 09:20:32	ga_ls8c_ard_3-1-0_090086_2020-05-23_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years