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
2013-08-02 09:16:55	ga_ls8c_ard_3-0-0_089086_2013-08-01_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-19 10:00:12	ga_ls8c_ard_3-0-0_096086_2013-08-19_final
2013-08-21 09:47:51	ga_ls8c_ard_3-0-0_094086_2013-08-21_final
2013-08-23 09:35:29	ga_ls8c_ard_3-0-0_092086_2013-08-23_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2016-05-30 10:04:00	ga_ls8c_ard_3-0-0_097086_2016-05-30_final
2016-06-01 09:51:39	ga_ls8c_ard_3-0-0_095086_2016-06-01_final
2016-06-03 09:38:54	ga_ls8c_ard_3-0-0_093085_2016-06-03_final
2016-06-03 09:39:18	ga_ls8c_ard_3-0-0_093086_2016-06-03_final
2016-06-04 10:22:10	ga_ls8c_ard_3-0-0_100085_2016-06-04_final
2016-07-19 09:51:58	ga_ls8c_ard_3-0-0_095086_2016-07-19_final
2016-08-06 09:39:39	ga_ls8c_ard_3-0-0_093086_2016-08-06_final
2016-08-08 09:27:18	ga_ls8c_ard_3-0-0_091086_2016-08-07_final
2016-08-18 10:04:26	ga_ls8c_ard_3-0-0_097086_2016-08-18_final
2016-08-20 09:52:06	ga_ls8c_ard_3-0-0_095086_2016-08-20_final
2016-09-19 10:04:35	ga_ls8c_ard_3-0-0_097086_2016-09-19_final
2016-09-21 09:52:14	ga_ls8c_ard_3-0-0_095086_2016-09-21_final
2016-10-04 09:21:21	ga_ls8c_ard_3-0-0_090086_2016-10-03_final
2016-10-05 10:04:37	ga_ls8c_ard_3-0-0_097086_2016-10-05_final
2016-10-09 09:39:56	ga_ls8c_ard_3-0-0_093086_2016-10-09_final
2016-10-11 09:27:35	ga_ls8c_ard_3-0-0_091086_2016-10-10_final
2018-02-13 10:04:10	ga_ls8c_ard_3-0-0_097086_2018-02-13_final
2018-02-15 09:51:48	ga_ls8c_ard_3-0-0_095086_2018-02-15_final
2018-08-19 09:45:16	ga_ls8c_ard_3-0-0_094086_2018-08-19_final
2018-08-21 09:32:56	ga_ls8c_ard_3-0-0_092086_2018-08-21_final
2018-08-23 09:20:11	ga_ls8c_ard_3-0-0_090085_2018-08-22_final
2018-08-23 09:20:35	ga_ls8c_ard_3-0-0_090086_2018-08-22_final
2018-10-10 09:20:54	ga_ls8c_ard_3-0-0_090086_2018-10-09_final
2018-10-17 09:27:07	ga_ls8c_ard_3-0-0_091086_2018-10-16_final
2018-10-18 10:10:23	ga_ls8c_ard_3-0-0_098086_2018-10-18_final
2018-10-19 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-10-18_final
2018-10-20 09:58:02	ga_ls8c_ard_3-0-0_096086_2018-10-20_final
2018-10-20 11:36:31	ga_ls8c_ard_3-0-0_112085_2018-10-20_final
2018-11-07 09:45:44	ga_ls8c_ard_3-0-0_094086_2018-11-07_final
2018-11-09 09:33:23	ga_ls8c_ard_3-0-0_092086_2018-11-09_final
2018-11-09 11:11:52	ga_ls8c_ard_3-0-0_108085_2018-11-09_final
2018-12-09 09:45:42	ga_ls8c_ard_3-0-0_094086_2018-12-09_final
2018-12-11 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-12-11_final
2019-01-31 10:04:07	ga_ls8c_ard_3-0-0_097086_2019-01-31_final
2019-02-02 09:51:45	ga_ls8c_ard_3-0-0_095086_2019-02-02_final
2019-02-13 09:33:12	ga_ls8c_ard_3-0-0_092086_2019-02-13_final
2019-02-15 09:20:50	ga_ls8c_ard_3-0-0_090086_2019-02-14_final
2019-02-16 10:04:05	ga_ls8c_ard_3-0-0_097086_2019-02-16_final
2019-02-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2019-02-18_final
2019-02-23 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-02-23_final
2019-02-24 09:14:37	ga_ls8c_ard_3-0-0_089086_2019-02-23_final
2019-02-25 09:57:52	ga_ls8c_ard_3-0-0_096086_2019-02-25_final
2019-02-27 09:45:30	ga_ls8c_ard_3-0-0_094086_2019-02-27_final
2019-03-01 09:33:08	ga_ls8c_ard_3-0-0_092086_2019-03-01_final
2019-03-03 09:20:46	ga_ls8c_ard_3-0-0_090086_2019-03-02_final
2019-03-04 10:04:01	ga_ls8c_ard_3-0-0_097086_2019-03-04_final
2019-03-06 09:51:39	ga_ls8c_ard_3-0-0_095086_2019-03-06_final
2019-03-08 09:39:16	ga_ls8c_ard_3-1-0_093086_2019-03-08_final
2019-03-15 09:45:24	ga_ls8c_ard_3-1-0_094086_2019-03-15_final
2019-03-17 09:33:02	ga_ls8c_ard_3-1-0_092086_2019-03-17_final
2019-03-19 09:20:41	ga_ls8c_ard_3-1-0_090086_2019-03-18_final
2019-03-20 10:03:56	ga_ls8c_ard_3-1-0_097086_2019-03-20_final
2019-03-22 09:51:34	ga_ls8c_ard_3-1-0_095086_2019-03-22_final
2019-03-27 10:10:06	ga_ls8c_ard_3-1-0_098086_2019-03-27_final
2019-03-28 09:14:28	ga_ls8c_ard_3-1-0_089086_2019-03-27_final
2019-03-29 09:57:43	ga_ls8c_ard_3-1-0_096086_2019-03-29_final
2019-04-07 09:51:30	ga_ls8c_ard_3-1-0_095086_2019-04-07_final
2019-04-12 10:10:01	ga_ls8c_ard_3-1-0_098086_2019-04-12_final
2019-04-13 09:14:23	ga_ls8c_ard_3-1-0_089086_2019-04-12_final
2019-04-14 09:57:38	ga_ls8c_ard_3-1-0_096086_2019-04-14_final
2019-04-21 10:03:46	ga_ls8c_ard_3-0-0_097086_2019-04-21_final
2019-04-23 09:51:24	ga_ls8c_ard_3-0-0_095086_2019-04-23_final
2019-04-25 09:39:01	ga_ls8c_ard_3-0-0_093086_2019-04-25_final
2019-05-02 09:45:14	ga_ls8c_ard_3-0-0_094086_2019-05-02_final
2019-05-04 09:32:54	ga_ls8c_ard_3-0-0_092086_2019-05-04_final
2019-05-06 09:20:33	ga_ls8c_ard_3-0-0_090086_2019-05-05_final
2019-05-14 10:10:05	ga_ls8c_ard_3-0-0_098086_2019-05-14_final
2019-05-15 09:14:05	ga_ls8c_ard_3-0-0_089085_2019-05-14_final
2019-05-15 09:14:29	ga_ls8c_ard_3-0-0_089086_2019-05-14_final
2019-05-16 09:57:45	ga_ls8c_ard_3-0-0_096086_2019-05-16_final
2019-05-16 11:36:14	ga_ls8c_ard_3-0-0_112085_2019-05-16_final
2019-05-25 09:51:39	ga_ls8c_ard_3-0-0_095086_2019-05-25_final
2019-05-25 11:30:09	ga_ls8c_ard_3-0-0_111085_2019-05-25_final
2019-05-30 10:09:51	ga_ls8c_ard_3-0-0_098085_2019-05-30_final
2019-05-30 10:10:15	ga_ls8c_ard_3-0-0_098086_2019-05-30_final
2019-05-31 09:14:38	ga_ls8c_ard_3-0-0_089086_2019-05-30_final
2019-06-01 09:57:54	ga_ls8c_ard_3-0-0_096086_2019-06-01_final
2019-06-03 09:45:33	ga_ls8c_ard_3-0-0_094086_2019-06-03_final
2019-06-05 09:33:12	ga_ls8c_ard_3-0-0_092086_2019-06-05_final
2019-06-07 09:20:52	ga_ls8c_ard_3-0-0_090086_2019-06-06_final
2019-06-14 09:27:05	ga_ls8c_ard_3-1-0_091086_2019-06-13_final
2019-06-15 10:09:57	ga_ls8c_ard_3-1-0_098085_2019-06-15_final
2019-06-15 10:10:21	ga_ls8c_ard_3-1-0_098086_2019-06-15_final
2019-06-16 09:14:44	ga_ls8c_ard_3-1-0_089086_2019-06-15_final
2019-06-17 09:58:00	ga_ls8c_ard_3-1-0_096086_2019-06-17_final
2019-06-19 09:45:39	ga_ls8c_ard_3-1-0_094086_2019-06-19_final
2019-07-01 10:10:26	ga_ls8c_ard_3-1-0_098086_2019-07-01_final
2019-07-02 09:14:25	ga_ls8c_ard_3-1-0_089085_2019-07-01_final
2019-07-02 09:14:49	ga_ls8c_ard_3-1-0_089086_2019-07-01_final
2019-07-03 09:58:05	ga_ls8c_ard_3-1-0_096086_2019-07-03_final
2019-10-09 09:46:11	ga_ls8c_ard_3-1-0_094086_2019-10-09_final
2019-10-11 09:33:50	ga_ls8c_ard_3-1-0_092086_2019-10-11_final
2019-10-14 10:04:44	ga_ls8c_ard_3-1-0_097086_2019-10-14_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_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