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
2015-09-05 11:17:57	ga_ls8c_ard_3-0-0_109085_2015-09-05_final
2015-10-19 10:03:59	ga_ls8c_ard_3-0-0_097085_2015-10-19_final
2015-10-19 10:04:23	ga_ls8c_ard_3-0-0_097086_2015-10-19_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2015-11-22 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-11-22_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-12-05 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-04_final
2015-12-05 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-04_final
2015-12-06 10:04:29	ga_ls8c_ard_3-0-0_097086_2015-12-06_final
2015-12-24 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-12-24_final
2015-12-26 09:39:46	ga_ls8c_ard_3-0-0_093086_2015-12-26_final
2016-05-18 11:17:41	ga_ls8c_ard_3-0-0_109085_2016-05-18_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
2016-08-04 09:52:01	ga_ls8c_ard_3-0-0_095086_2016-08-04_final
2016-08-04 11:30:30	ga_ls8c_ard_3-0-0_111085_2016-08-04_final
2016-08-06 09:39:39	ga_ls8c_ard_3-0-0_093086_2016-08-06_final
2017-04-06 10:10:04	ga_ls8c_ard_3-0-0_098086_2017-04-06_final
2017-04-07 09:14:26	ga_ls8c_ard_3-0-0_089086_2017-04-06_final
2017-10-21 09:33:45	ga_ls8c_ard_3-0-0_092086_2017-10-21_final
2017-10-23 09:21:24	ga_ls8c_ard_3-0-0_090086_2017-10-22_final
2017-10-24 10:04:39	ga_ls8c_ard_3-0-0_097086_2017-10-24_final
2017-11-27 09:52:09	ga_ls8c_ard_3-0-0_095086_2017-11-27_final
2017-11-29 09:39:47	ga_ls8c_ard_3-0-0_093086_2017-11-29_final
2017-12-13 09:52:09	ga_ls8c_ard_3-0-0_095086_2017-12-13_final
2017-12-15 09:39:48	ga_ls8c_ard_3-0-0_093086_2017-12-15_final
2018-01-14 09:52:03	ga_ls8c_ard_3-0-0_095086_2018-01-14_final
2018-01-16 09:39:40	ga_ls8c_ard_3-0-0_093086_2018-01-16_final
2018-05-26 09:26:08	ga_ls8c_ard_3-0-0_091086_2018-05-25_final
2018-06-27 09:26:17	ga_ls8c_ard_3-0-0_091086_2018-06-26_final
2018-06-27 11:04:46	ga_ls8c_ard_3-0-0_107085_2018-06-27_final
2018-07-29 09:26:08	ga_ls8c_ard_3-0-0_091085_2018-07-28_final
2018-07-29 09:26:32	ga_ls8c_ard_3-0-0_091086_2018-07-28_final
2018-07-29 11:05:01	ga_ls8c_ard_3-0-0_107085_2018-07-29_final
2018-08-30 09:26:49	ga_ls8c_ard_3-0-0_091086_2018-08-29_final
2018-08-30 11:05:18	ga_ls8c_ard_3-0-0_107085_2018-08-30_final
2018-09-02 09:57:44	ga_ls8c_ard_3-0-0_096086_2018-09-02_final
2018-09-04 09:44:59	ga_ls8c_ard_3-0-0_094085_2018-09-04_final
2018-09-04 09:45:23	ga_ls8c_ard_3-0-0_094086_2018-09-04_final
2019-06-22 10:16:10	ga_ls8c_ard_3-1-0_099085_2019-06-22_final
2019-06-23 09:20:57	ga_ls8c_ard_3-1-0_090086_2019-06-22_final
2019-08-01 09:27:19	ga_ls8c_ard_3-1-0_091086_2019-07-31_final
2019-08-01 11:05:48	ga_ls8c_ard_3-1-0_107085_2019-08-01_final
2019-08-11 10:04:28	ga_ls8c_ard_3-1-0_097086_2019-08-11_final
2019-09-07 09:46:02	ga_ls8c_ard_3-1-0_094086_2019-09-07_final
2019-09-12 10:04:36	ga_ls8c_ard_3-1-0_097086_2019-09-12_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
2019-10-23 09:58:34	ga_ls8c_ard_3-1-0_096086_2019-10-23_final
2019-10-25 09:46:12	ga_ls8c_ard_3-1-0_094086_2019-10-25_final
2020-03-03 09:33:24	ga_ls8c_ard_3-1-0_092086_2020-03-03_final
2020-03-15 09:58:02	ga_ls8c_ard_3-1-0_096086_2020-03-15_final
2020-03-17 09:45:39	ga_ls8c_ard_3-1-0_094086_2020-03-17_final
2020-03-24 09:51:46	ga_ls8c_ard_3-1-0_095086_2020-03-24_final
2020-03-26 09:39:23	ga_ls8c_ard_3-1-0_093086_2020-03-26_final
2020-04-02 09:45:30	ga_ls8c_ard_3-1-0_094086_2020-04-02_final
2020-04-04 09:33:07	ga_ls8c_ard_3-1-0_092086_2020-04-04_final
2020-05-02 09:57:38	ga_ls8c_ard_3-1-0_096086_2020-05-02_final
2020-05-04 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-04_final
2020-05-11 09:51:23	ga_ls8c_ard_3-1-0_095086_2020-05-11_final
2020-05-11 11:29:53	ga_ls8c_ard_3-1-0_111085_2020-05-11_final
2020-05-13 09:39:02	ga_ls8c_ard_3-1-0_093086_2020-05-13_final
2020-05-13 11:17:31	ga_ls8c_ard_3-1-0_109085_2020-05-13_final
2020-05-18 09:57:36	ga_ls8c_ard_3-1-0_096086_2020-05-18_final
2020-05-18 11:36:05	ga_ls8c_ard_3-1-0_112085_2020-05-18_final
2020-05-20 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-20_final
2020-05-20 11:23:44	ga_ls8c_ard_3-1-0_110085_2020-05-20_final
2020-05-29 11:17:35	ga_ls8c_ard_3-1-0_109085_2020-05-29_final
2020-07-03 10:09:56	ga_ls8c_ard_3-1-0_098085_2020-07-03_final
2020-07-03 10:10:19	ga_ls8c_ard_3-1-0_098086_2020-07-03_final
2020-07-04 09:14:43	ga_ls8c_ard_3-1-0_089086_2020-07-03_final
2020-07-05 09:57:59	ga_ls8c_ard_3-1-0_096086_2020-07-05_final
2020-07-19 10:10:01	ga_ls8c_ard_3-1-0_098085_2020-07-19_final
2020-07-19 10:10:25	ga_ls8c_ard_3-1-0_098086_2020-07-19_final
2020-07-20 09:14:48	ga_ls8c_ard_3-1-0_089086_2020-07-19_final
2020-07-21 09:58:04	ga_ls8c_ard_3-1-0_096086_2020-07-21_final
2020-07-28 10:03:53	ga_ls8c_ard_3-1-0_097085_2020-07-28_final
2020-07-28 10:04:17	ga_ls8c_ard_3-1-0_097086_2020-07-28_final
2020-08-04 10:10:05	ga_ls8c_ard_3-1-0_098085_2020-08-04_final
2020-08-04 10:10:29	ga_ls8c_ard_3-1-0_098086_2020-08-04_final
2020-08-05 09:14:28	ga_ls8c_ard_3-1-0_089085_2020-08-04_final
2020-08-05 09:14:52	ga_ls8c_ard_3-1-0_089086_2020-08-04_final
2020-08-06 09:57:44	ga_ls8c_ard_3-1-0_096085_2020-08-06_final
2020-08-06 09:58:08	ga_ls8c_ard_3-1-0_096086_2020-08-06_final
2020-08-06 11:36:37	ga_ls8c_ard_3-1-0_112085_2020-08-06_final
2020-08-22 09:58:15	ga_ls8c_ard_3-1-0_096086_2020-08-22_final
2020-08-22 11:36:44	ga_ls8c_ard_3-1-0_112085_2020-08-22_final
2020-08-24 09:45:54	ga_ls8c_ard_3-1-0_094086_2020-08-24_final
2020-09-07 09:58:22	ga_ls8c_ard_3-1-0_096086_2020-09-07_final
2020-09-13 09:21:19	ga_ls8c_ard_3-1-0_090086_2020-09-12_final
2020-09-14 10:04:35	ga_ls8c_ard_3-1-0_097086_2020-09-14_final
2020-09-16 09:52:14	ga_ls8c_ard_3-1-0_095086_2020-09-16_final
2020-09-21 10:10:24	ga_ls8c_ard_3-1-0_098085_2020-09-21_final
2020-09-21 10:10:48	ga_ls8c_ard_3-1-0_098086_2020-09-21_final
2020-09-22 09:14:47	ga_ls8c_ard_3-1-0_089085_2020-09-21_final
2020-09-22 09:15:11	ga_ls8c_ard_3-1-0_089086_2020-09-21_final
2020-09-23 09:58:03	ga_ls8c_ard_3-1-0_096085_2020-09-23_final
2020-09-23 09:58:27	ga_ls8c_ard_3-1-0_096086_2020-09-23_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