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
2015-04-25 09:20:25	ga_ls8c_ard_3-0-0_090086_2015-04-24_final
2015-04-26 10:03:16	ga_ls8c_ard_3-0-0_097085_2015-04-26_final
2015-05-27 09:19:46	ga_ls8c_ard_3-0-0_090085_2015-05-26_final
2015-05-27 09:20:10	ga_ls8c_ard_3-0-0_090086_2015-05-26_final
2015-05-28 10:03:01	ga_ls8c_ard_3-0-0_097085_2015-05-28_final
2015-05-28 10:03:25	ga_ls8c_ard_3-0-0_097086_2015-05-28_final
2015-07-05 09:26:19	ga_ls8c_ard_3-0-0_091085_2015-07-04_final
2015-07-05 09:26:43	ga_ls8c_ard_3-0-0_091086_2015-07-04_final
2015-07-05 11:05:12	ga_ls8c_ard_3-0-0_107085_2015-07-05_final
2015-07-06 10:09:35	ga_ls8c_ard_3-0-0_098085_2015-07-06_final
2015-07-06 10:09:59	ga_ls8c_ard_3-0-0_098086_2015-07-06_final
2015-07-07 09:13:59	ga_ls8c_ard_3-0-0_089085_2015-07-06_final
2015-07-07 09:14:23	ga_ls8c_ard_3-0-0_089086_2015-07-06_final
2015-07-10 09:44:55	ga_ls8c_ard_3-0-0_094085_2015-07-10_final
2015-07-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2015-07-10_final
2015-07-10 11:23:48	ga_ls8c_ard_3-0-0_110085_2015-07-10_final
2015-07-12 09:32:58	ga_ls8c_ard_3-0-0_092086_2015-07-12_final
2015-07-12 11:11:27	ga_ls8c_ard_3-0-0_108085_2015-07-12_final
2015-08-22 09:26:38	ga_ls8c_ard_3-0-0_091085_2015-08-21_final
2015-08-22 09:27:02	ga_ls8c_ard_3-0-0_091086_2015-08-21_final
2015-08-22 11:05:31	ga_ls8c_ard_3-0-0_107085_2015-08-22_final
2015-08-23 10:09:54	ga_ls8c_ard_3-0-0_098085_2015-08-23_final
2015-08-23 10:10:18	ga_ls8c_ard_3-0-0_098086_2015-08-23_final
2015-08-24 09:14:17	ga_ls8c_ard_3-0-0_089085_2015-08-23_final
2015-08-24 09:14:41	ga_ls8c_ard_3-0-0_089086_2015-08-23_final
2015-09-08 10:10:00	ga_ls8c_ard_3-0-0_098085_2015-09-08_final
2015-09-08 10:10:24	ga_ls8c_ard_3-0-0_098086_2015-09-08_final
2015-09-09 09:14:23	ga_ls8c_ard_3-0-0_089085_2015-09-08_final
2015-09-09 09:14:47	ga_ls8c_ard_3-0-0_089086_2015-09-08_final
2015-10-26 10:10:13	ga_ls8c_ard_3-0-0_098085_2015-10-26_final
2015-10-26 10:10:37	ga_ls8c_ard_3-0-0_098086_2015-10-26_final
2015-10-27 09:14:36	ga_ls8c_ard_3-0-0_089085_2015-10-26_final
2015-10-27 09:15:00	ga_ls8c_ard_3-0-0_089086_2015-10-26_final
2015-11-11 10:10:14	ga_ls8c_ard_3-0-0_098085_2015-11-11_final
2015-11-11 10:10:38	ga_ls8c_ard_3-0-0_098086_2015-11-11_final
2015-11-12 09:14:37	ga_ls8c_ard_3-0-0_089085_2015-11-11_final
2015-11-12 09:15:01	ga_ls8c_ard_3-0-0_089086_2015-11-11_final
2015-12-15 09:57:54	ga_ls8c_ard_3-0-0_096085_2015-12-15_final
2015-12-15 09:58:18	ga_ls8c_ard_3-0-0_096086_2015-12-15_final
2015-12-15 11:36:47	ga_ls8c_ard_3-0-0_112085_2015-12-15_final
2017-01-07 10:16:30	ga_ls8c_ard_3-0-0_099085_2017-01-07_final
2017-01-08 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-01-07_final
2017-01-08 09:21:17	ga_ls8c_ard_3-0-0_090086_2017-01-07_final
2017-01-09 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-01-09_final
2017-01-09 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-01-09_final
2017-01-25 10:04:27	ga_ls8c_ard_3-0-0_097086_2017-01-25_final
2017-03-23 09:57:48	ga_ls8c_ard_3-0-0_096086_2017-03-23_final
2017-03-25 09:45:02	ga_ls8c_ard_3-0-0_094085_2017-03-25_final
2017-03-25 09:45:26	ga_ls8c_ard_3-0-0_094086_2017-03-25_final
2017-03-25 11:23:55	ga_ls8c_ard_3-0-0_110085_2017-03-25_final
2017-04-08 09:57:18	ga_ls8c_ard_3-0-0_096085_2017-04-08_final
2017-04-08 09:57:42	ga_ls8c_ard_3-0-0_096086_2017-04-08_final
2017-04-08 11:36:11	ga_ls8c_ard_3-0-0_112085_2017-04-08_final
2017-04-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2017-04-10_final
2017-04-10 11:23:48	ga_ls8c_ard_3-0-0_110085_2017-04-10_final
2017-04-24 09:57:32	ga_ls8c_ard_3-0-0_096086_2017-04-24_final
2017-04-24 11:36:01	ga_ls8c_ard_3-0-0_112085_2017-04-24_final
2017-04-26 09:45:09	ga_ls8c_ard_3-0-0_094086_2017-04-26_final
2017-05-12 09:44:48	ga_ls8c_ard_3-0-0_094085_2017-05-12_final
2017-05-12 09:45:12	ga_ls8c_ard_3-0-0_094086_2017-05-12_final
2017-05-12 11:23:41	ga_ls8c_ard_3-0-0_110085_2017-05-12_final
2017-06-27 09:57:32	ga_ls8c_ard_3-0-0_096085_2017-06-27_final
2017-06-27 09:57:56	ga_ls8c_ard_3-0-0_096086_2017-06-27_final
2017-06-27 11:36:25	ga_ls8c_ard_3-0-0_112085_2017-06-27_final
2017-06-29 09:45:11	ga_ls8c_ard_3-0-0_094085_2017-06-29_final
2017-06-29 09:45:35	ga_ls8c_ard_3-0-0_094086_2017-06-29_final
2017-06-29 11:24:04	ga_ls8c_ard_3-0-0_110085_2017-06-29_final
2018-02-15 09:51:24	ga_ls8c_ard_3-0-0_095085_2018-02-15_final
2018-02-15 09:51:48	ga_ls8c_ard_3-0-0_095086_2018-02-15_final
2018-02-15 11:30:17	ga_ls8c_ard_3-0-0_111085_2018-02-15_final
2018-02-17 09:39:26	ga_ls8c_ard_3-0-0_093086_2018-02-17_final
2018-02-17 11:17:55	ga_ls8c_ard_3-0-0_109085_2018-02-17_final
2018-02-18 10:22:17	ga_ls8c_ard_3-0-0_100085_2018-02-18_final
2018-04-22 11:17:22	ga_ls8c_ard_3-0-0_109085_2018-04-22_final
2018-04-23 10:21:44	ga_ls8c_ard_3-0-0_100085_2018-04-23_final
2018-04-25 10:09:21	ga_ls8c_ard_3-0-0_098085_2018-04-25_final
2018-04-25 10:09:45	ga_ls8c_ard_3-0-0_098086_2018-04-25_final
2018-04-26 09:13:43	ga_ls8c_ard_3-0-0_089085_2018-04-25_final
2018-04-26 09:14:07	ga_ls8c_ard_3-0-0_089086_2018-04-25_final
2018-04-27 09:57:22	ga_ls8c_ard_3-0-0_096086_2018-04-27_final
2018-05-03 09:20:14	ga_ls8c_ard_3-0-0_090086_2018-05-02_final
2022-04-22 09:57:35	ga_ls8c_ard_3-2-1_096085_2022-04-22_final
2022-04-22 09:57:59	ga_ls8c_ard_3-2-1_096086_2022-04-22_final
2022-04-24 09:45:12	ga_ls8c_ard_3-2-1_094085_2022-04-24_final
2022-04-24 09:45:36	ga_ls8c_ard_3-2-1_094086_2022-04-24_final
2022-04-24 11:24:05	ga_ls8c_ard_3-2-1_110085_2022-04-24_final
2022-04-26 09:32:50	ga_ls8c_ard_3-2-1_092085_2022-04-26_final
2022-04-26 09:33:14	ga_ls8c_ard_3-2-1_092086_2022-04-26_final
2022-04-27 10:16:05	ga_ls8c_ard_3-2-1_099085_2022-04-27_final
2022-04-28 09:20:27	ga_ls8c_ard_3-2-1_090085_2022-04-27_final
2022-04-28 09:20:51	ga_ls8c_ard_3-2-1_090086_2022-04-27_final
2022-04-29 10:03:42	ga_ls8c_ard_3-2-1_097085_2022-04-29_final
2022-05-08 09:57:39	ga_ls8c_ard_3-2-1_096085_2022-05-08_final
2022-05-08 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-05-08_final
2022-05-10 09:45:18	ga_ls8c_ard_3-2-1_094085_2022-05-10_final
2022-05-10 09:45:42	ga_ls8c_ard_3-2-1_094086_2022-05-10_final
2022-05-10 11:24:11	ga_ls8c_ard_3-2-1_110085_2022-05-10_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

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