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:

Add field

First 100 results (query limit)

Time (local)	Label
2013-09-22 09:47:44	ga_ls8c_ard_3-0-0_094086_2013-09-22_final
2013-09-24 09:35:21	ga_ls8c_ard_3-0-0_092086_2013-09-24_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-02 09:40:58	ga_ls8c_ard_3-0-0_093085_2013-11-02_final
2013-11-02 09:41:22	ga_ls8c_ard_3-0-0_093086_2013-11-02_final
2013-11-04 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-11-03_final
2013-11-05 10:11:53	ga_ls8c_ard_3-0-0_098085_2013-11-05_final
2013-11-18 09:41:18	ga_ls8c_ard_3-0-0_093086_2013-11-18_final
2013-11-20 09:28:54	ga_ls8c_ard_3-0-0_091086_2013-11-19_final
2013-12-02 09:53:37	ga_ls8c_ard_3-0-0_095086_2013-12-02_final
2014-01-12 09:47:02	ga_ls8c_ard_3-0-0_094086_2014-01-12_final
2014-01-14 09:34:38	ga_ls8c_ard_3-0-0_092086_2014-01-14_final
2014-01-25 09:16:02	ga_ls8c_ard_3-0-0_089086_2014-01-24_final
2014-01-26 09:59:17	ga_ls8c_ard_3-0-0_096086_2014-01-26_final
2014-01-28 09:46:55	ga_ls8c_ard_3-0-0_094086_2014-01-28_final
2014-01-30 09:34:32	ga_ls8c_ard_3-0-0_092086_2014-01-30_final
2014-02-04 09:53:01	ga_ls8c_ard_3-0-0_095086_2014-02-04_final
2014-02-06 09:40:37	ga_ls8c_ard_3-0-0_093086_2014-02-06_final
2018-09-16 10:09:45	ga_ls8c_ard_3-0-0_098085_2018-09-16_final
2018-09-16 10:10:09	ga_ls8c_ard_3-0-0_098086_2018-09-16_final
2018-09-17 09:14:08	ga_ls8c_ard_3-0-0_089085_2018-09-16_final
2018-09-17 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-09-16_final
2018-10-02 10:09:53	ga_ls8c_ard_3-0-0_098085_2018-10-02_final
2018-10-02 10:10:17	ga_ls8c_ard_3-0-0_098086_2018-10-02_final
2018-10-03 09:14:16	ga_ls8c_ard_3-0-0_089085_2018-10-02_final
2018-10-03 09:14:40	ga_ls8c_ard_3-0-0_089086_2018-10-02_final
2018-10-18 10:09:59	ga_ls8c_ard_3-0-0_098085_2018-10-18_final
2018-10-18 10:10:23	ga_ls8c_ard_3-0-0_098086_2018-10-18_final
2018-10-19 09:14:22	ga_ls8c_ard_3-0-0_089085_2018-10-18_final
2018-10-19 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-10-18_final
2018-10-27 10:03:51	ga_ls8c_ard_3-0-0_097085_2018-10-27_final
2018-10-27 10:04:15	ga_ls8c_ard_3-0-0_097086_2018-10-27_final
2018-11-03 10:10:03	ga_ls8c_ard_3-0-0_098085_2018-11-03_final
2018-11-03 10:10:27	ga_ls8c_ard_3-0-0_098086_2018-11-03_final
2018-11-04 09:14:26	ga_ls8c_ard_3-0-0_089085_2018-11-03_final
2018-11-04 09:14:50	ga_ls8c_ard_3-0-0_089086_2018-11-03_final
2018-11-19 10:10:04	ga_ls8c_ard_3-0-0_098085_2018-11-19_final
2018-11-19 10:10:28	ga_ls8c_ard_3-0-0_098086_2018-11-19_final
2018-11-20 09:14:27	ga_ls8c_ard_3-0-0_089085_2018-11-19_final
2018-11-20 09:14:51	ga_ls8c_ard_3-0-0_089086_2018-11-19_final
2018-12-11 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-12-11_final
2018-12-12 10:16:11	ga_ls8c_ard_3-0-0_099085_2018-12-12_final
2018-12-13 09:20:57	ga_ls8c_ard_3-0-0_090086_2018-12-12_final
2018-12-14 10:03:49	ga_ls8c_ard_3-0-0_097085_2018-12-14_final
2018-12-14 10:04:13	ga_ls8c_ard_3-0-0_097086_2018-12-14_final
2018-12-21 10:10:24	ga_ls8c_ard_3-0-0_098086_2018-12-21_final
2018-12-22 09:14:23	ga_ls8c_ard_3-0-0_089085_2018-12-21_final
2018-12-22 09:14:47	ga_ls8c_ard_3-0-0_089086_2018-12-21_final
2019-01-06 10:10:24	ga_ls8c_ard_3-0-0_098086_2019-01-06_final
2019-01-07 09:14:22	ga_ls8c_ard_3-0-0_089085_2019-01-06_final
2019-01-07 09:14:46	ga_ls8c_ard_3-0-0_089086_2019-01-06_final
2020-10-18 09:51:56	ga_ls8c_ard_3-1-0_095085_2020-10-18_final
2020-10-18 09:52:20	ga_ls8c_ard_3-1-0_095086_2020-10-18_final
2020-10-18 11:30:49	ga_ls8c_ard_3-1-0_111085_2020-10-18_final
2020-10-20 09:39:34	ga_ls8c_ard_3-1-0_093085_2020-10-20_final
2020-10-20 09:39:58	ga_ls8c_ard_3-1-0_093086_2020-10-20_final
2020-10-20 11:18:27	ga_ls8c_ard_3-1-0_109085_2020-10-20_final
2020-10-21 10:22:50	ga_ls8c_ard_3-1-0_100085_2020-10-21_final
2020-10-23 10:10:28	ga_ls8c_ard_3-1-0_098085_2020-10-23_final
2020-10-23 10:10:52	ga_ls8c_ard_3-1-0_098086_2020-10-23_final
2020-10-24 09:14:51	ga_ls8c_ard_3-1-0_089085_2020-10-23_final
2020-10-24 09:15:15	ga_ls8c_ard_3-1-0_089086_2020-10-23_final
2020-11-22 10:22:49	ga_ls8c_ard_3-1-0_100085_2020-11-22_final
2020-11-23 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-11-22_final
2020-11-26 09:58:06	ga_ls8c_ard_3-1-0_096085_2020-11-26_final
2020-11-26 09:58:30	ga_ls8c_ard_3-1-0_096086_2020-11-26_final
2020-11-26 11:36:59	ga_ls8c_ard_3-1-0_112085_2020-11-26_final
2020-11-28 09:46:09	ga_ls8c_ard_3-1-0_094086_2020-11-28_final
2020-11-28 11:24:38	ga_ls8c_ard_3-1-0_110085_2020-11-28_final
2020-12-10 10:10:29	ga_ls8c_ard_3-1-0_098085_2020-12-10_final
2020-12-10 10:10:53	ga_ls8c_ard_3-1-0_098086_2020-12-10_final
2020-12-11 09:15:16	ga_ls8c_ard_3-1-0_089086_2020-12-10_final
2020-12-19 10:04:17	ga_ls8c_ard_3-2-0_097085_2020-12-19_final
2020-12-19 10:04:41	ga_ls8c_ard_3-2-0_097086_2020-12-19_final
2020-12-21 09:52:19	ga_ls8c_ard_3-2-0_095086_2020-12-21_final
2020-12-21 11:30:48	ga_ls8c_ard_3-2-0_111085_2020-12-21_final
2021-01-08 09:39:28	ga_ls8c_ard_3-2-0_093085_2021-01-08_final
2021-01-08 09:39:52	ga_ls8c_ard_3-2-0_093086_2021-01-08_final
2021-01-15 09:45:59	ga_ls8c_ard_3-2-0_094086_2021-01-15_final
2021-01-15 11:24:28	ga_ls8c_ard_3-2-0_110085_2021-01-15_final
2021-01-17 09:33:36	ga_ls8c_ard_3-2-0_092086_2021-01-17_final
2021-01-17 11:12:05	ga_ls8c_ard_3-2-0_108085_2021-01-17_final
2022-05-01 09:51:23	ga_ls8c_ard_3-2-1_095085_2022-05-01_final
2022-05-01 09:51:46	ga_ls8c_ard_3-2-1_095086_2022-05-01_final
2022-05-03 09:39:03	ga_ls8c_ard_3-2-1_093085_2022-05-03_final
2022-05-03 09:39:27	ga_ls8c_ard_3-2-1_093086_2022-05-03_final
2022-05-05 09:27:06	ga_ls8c_ard_3-2-1_091086_2022-05-04_final
2022-05-06 10:09:59	ga_ls8c_ard_3-2-1_098085_2022-05-06_final
2022-05-07 09:14:22	ga_ls8c_ard_3-2-1_089085_2022-05-06_final
2022-05-07 09:14:46	ga_ls8c_ard_3-2-1_089086_2022-05-06_final
2022-05-12 09:33:21	ga_ls8c_ard_3-2-1_092086_2022-05-12_final
2022-05-13 10:16:14	ga_ls8c_ard_3-2-1_099085_2022-05-13_final
2022-05-14 09:20:37	ga_ls8c_ard_3-2-1_090085_2022-05-13_final
2022-05-14 09:21:01	ga_ls8c_ard_3-2-1_090086_2022-05-13_final
2022-05-21 09:27:13	ga_ls8c_ard_3-2-1_091086_2022-05-20_final
2022-05-23 09:14:27	ga_ls8c_ard_3-2-1_089085_2022-05-22_final
2022-05-23 09:14:51	ga_ls8c_ard_3-2-1_089086_2022-05-22_final
2022-05-24 09:57:43	ga_ls8c_ard_3-2-1_096085_2022-05-24_final
2022-05-24 09:58:06	ga_ls8c_ard_3-2-1_096086_2022-05-24_final
2022-05-26 11:24:13	ga_ls8c_ard_3-2-1_110085_2022-05-26_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