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
2013-03-26 09:40:52	ga_ls8c_ard_3-0-0_093086_2013-03-26_final
2013-04-12 09:16:59	ga_ls8c_ard_3-0-0_089086_2013-04-11_final
2013-04-13 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-04-13_final
2013-04-15 09:47:38	ga_ls8c_ard_3-0-0_094086_2013-04-15_final
2013-04-17 09:35:16	ga_ls8c_ard_3-0-0_092086_2013-04-17_final
2013-06-02 09:47:52	ga_ls8c_ard_3-0-0_094086_2013-06-02_final
2013-06-04 09:35:30	ga_ls8c_ard_3-0-0_092086_2013-06-04_final
2013-06-06 09:23:08	ga_ls8c_ard_3-0-0_090086_2013-06-05_final
2013-06-18 09:47:45	ga_ls8c_ard_3-0-0_094086_2013-06-18_final
2013-06-20 09:35:22	ga_ls8c_ard_3-0-0_092086_2013-06-20_final
2013-07-15 09:29:15	ga_ls8c_ard_3-0-0_091086_2013-07-14_final
2013-08-26 10:06:00	ga_ls8c_ard_3-0-0_097085_2013-08-26_final
2016-01-18 09:45:54	ga_ls8c_ard_3-0-0_094086_2016-01-18_final
2016-01-20 09:33:32	ga_ls8c_ard_3-0-0_092086_2016-01-20_final
2016-01-20 11:12:01	ga_ls8c_ard_3-0-0_108085_2016-01-20_final
2017-07-13 09:57:59	ga_ls8c_ard_3-0-0_096086_2017-07-13_final
2017-07-13 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-07-13_final
2017-07-15 09:45:38	ga_ls8c_ard_3-0-0_094086_2017-07-15_final
2017-07-22 09:51:29	ga_ls8c_ard_3-0-0_095085_2017-07-22_final
2017-07-22 09:51:53	ga_ls8c_ard_3-0-0_095086_2017-07-22_final
2017-07-22 11:30:22	ga_ls8c_ard_3-0-0_111085_2017-07-22_final
2017-07-24 09:39:32	ga_ls8c_ard_3-0-0_093086_2017-07-24_final
2017-07-24 11:18:01	ga_ls8c_ard_3-0-0_109085_2017-07-24_final
2017-07-25 10:22:24	ga_ls8c_ard_3-0-0_100085_2017-07-25_final
2017-07-29 09:57:43	ga_ls8c_ard_3-0-0_096085_2017-07-29_final
2017-07-29 09:58:07	ga_ls8c_ard_3-0-0_096086_2017-07-29_final
2017-07-29 11:36:36	ga_ls8c_ard_3-0-0_112085_2017-07-29_final
2017-07-31 09:45:46	ga_ls8c_ard_3-0-0_094086_2017-07-31_final
2017-07-31 11:24:15	ga_ls8c_ard_3-0-0_110085_2017-07-31_final
2017-08-07 09:52:00	ga_ls8c_ard_3-0-0_095086_2017-08-07_final
2017-08-07 11:30:29	ga_ls8c_ard_3-0-0_111085_2017-08-07_final
2017-08-09 09:39:15	ga_ls8c_ard_3-0-0_093085_2017-08-09_final
2017-08-09 09:39:39	ga_ls8c_ard_3-0-0_093086_2017-08-09_final
2017-08-09 11:18:08	ga_ls8c_ard_3-0-0_109085_2017-08-09_final
2017-08-10 10:22:31	ga_ls8c_ard_3-0-0_100085_2017-08-10_final
2017-08-16 09:45:52	ga_ls8c_ard_3-0-0_094086_2017-08-16_final
2017-08-16 11:24:21	ga_ls8c_ard_3-0-0_110085_2017-08-16_final
2017-09-17 09:45:56	ga_ls8c_ard_3-0-0_094086_2017-09-17_final
2017-09-17 11:24:25	ga_ls8c_ard_3-0-0_110085_2017-09-17_final
2017-09-19 09:33:36	ga_ls8c_ard_3-0-0_092086_2017-09-19_final
2017-09-19 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-09-19_final
2017-09-22 10:04:07	ga_ls8c_ard_3-0-0_097085_2017-09-22_final
2017-09-22 10:04:31	ga_ls8c_ard_3-0-0_097086_2017-09-22_final
2017-09-24 09:52:11	ga_ls8c_ard_3-0-0_095086_2017-09-24_final
2017-09-26 09:39:26	ga_ls8c_ard_3-0-0_093085_2017-09-26_final
2017-09-26 09:39:50	ga_ls8c_ard_3-0-0_093086_2017-09-26_final
2017-09-26 11:18:19	ga_ls8c_ard_3-0-0_109085_2017-09-26_final
2017-09-27 10:22:42	ga_ls8c_ard_3-0-0_100085_2017-09-27_final
2017-10-10 09:52:16	ga_ls8c_ard_3-0-0_095086_2017-10-10_final
2017-10-10 11:30:45	ga_ls8c_ard_3-0-0_111085_2017-10-10_final
2017-10-12 09:39:55	ga_ls8c_ard_3-0-0_093086_2017-10-12_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
2018-11-03 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
2018-12-05 10:10:02	ga_ls8c_ard_3-0-0_098085_2018-12-05_final
2018-12-05 10:10:26	ga_ls8c_ard_3-0-0_098086_2018-12-05_final
2018-12-06 09:14:25	ga_ls8c_ard_3-0-0_089085_2018-12-05_final
2018-12-06 09:14:49	ga_ls8c_ard_3-0-0_089086_2018-12-05_final
2019-02-25 09:57:28	ga_ls8c_ard_3-0-0_096085_2019-02-25_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
2019-03-15 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
2019-05-02 09:44:50	ga_ls8c_ard_3-0-0_094085_2019-05-02_final
2019-05-02 09:45:14	ga_ls8c_ard_3-0-0_094086_2019-05-02_final
2019-05-02 11:23:43	ga_ls8c_ard_3-0-0_110085_2019-05-02_final
2019-05-04 09:32:54	ga_ls8c_ard_3-0-0_092086_2019-05-04_final
2019-05-04 11:11:23	ga_ls8c_ard_3-0-0_108085_2019-05-04_final
2019-05-18 09:45:01	ga_ls8c_ard_3-0-0_094085_2019-05-18_final
2019-05-18 09:45:25	ga_ls8c_ard_3-0-0_094086_2019-05-18_final
2019-05-18 11:23:54	ga_ls8c_ard_3-0-0_110085_2019-05-18_final
2019-05-20 09:33:04	ga_ls8c_ard_3-0-0_092086_2019-05-20_final
2019-05-20 11:11:33	ga_ls8c_ard_3-0-0_108085_2019-05-20_final
2019-06-03 09:45:09	ga_ls8c_ard_3-0-0_094085_2019-06-03_final
2019-06-03 09:45:33	ga_ls8c_ard_3-0-0_094086_2019-06-03_final
2019-06-03 11:24:02	ga_ls8c_ard_3-0-0_110085_2019-06-03_final
2019-12-10 09:58:05	ga_ls8c_ard_3-1-0_096085_2019-12-10_final
2019-12-10 09:58:29	ga_ls8c_ard_3-1-0_096086_2019-12-10_final
2019-12-10 11:36:58	ga_ls8c_ard_3-1-0_112085_2019-12-10_final
2020-01-02 10:04:34	ga_ls8c_ard_3-1-0_097086_2020-01-02_final
2020-02-10 10:10:35	ga_ls8c_ard_3-1-0_098086_2020-02-10_final
2020-02-11 09:14:33	ga_ls8c_ard_3-1-0_089085_2020-02-10_final
2020-02-11 09:14:57	ga_ls8c_ard_3-1-0_089086_2020-02-10_final
2020-02-14 09:45:51	ga_ls8c_ard_3-1-0_094086_2020-02-14_final
2020-02-26 10:10:31	ga_ls8c_ard_3-1-0_098086_2020-02-26_final
2020-02-27 09:14:53	ga_ls8c_ard_3-1-0_089086_2020-02-26_final
2020-02-28 09:58:09	ga_ls8c_ard_3-1-0_096086_2020-02-28_final
2020-08-12 09:20:40	ga_ls8c_ard_3-1-0_090085_2020-08-11_final
2020-08-12 09:21:04	ga_ls8c_ard_3-1-0_090086_2020-08-11_final
2020-08-13 10:03:56	ga_ls8c_ard_3-1-0_097085_2020-08-13_final
2020-08-13 10:04:20	ga_ls8c_ard_3-1-0_097086_2020-08-13_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