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
2013-09-04 09:59:49	ga_ls8c_ard_3-0-0_096085_2013-09-04_final
2013-09-04 10:00:13	ga_ls8c_ard_3-0-0_096086_2013-09-04_final
2013-09-08 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-09-08_final
2013-09-13 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-09-13_final
2013-09-15 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-09-15_final
2013-09-26 09:22:34	ga_ls8c_ard_3-0-0_090085_2013-09-25_final
2013-09-26 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-09-25_final
2013-10-19 09:29:06	ga_ls8c_ard_3-0-0_091086_2013-10-18_final
2013-10-20 10:11:57	ga_ls8c_ard_3-0-0_098085_2013-10-20_final
2013-10-22 09:59:34	ga_ls8c_ard_3-0-0_096085_2013-10-22_final
2013-10-22 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-10-22_final
2013-10-24 09:47:35	ga_ls8c_ard_3-0-0_094086_2013-10-24_final
2013-11-13 09:22:25	ga_ls8c_ard_3-0-0_090085_2013-11-12_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-11-14 10:05:40	ga_ls8c_ard_3-0-0_097085_2013-11-14_final
2013-11-16 09:53:41	ga_ls8c_ard_3-0-0_095086_2013-11-16_final
2013-12-02 09:53:37	ga_ls8c_ard_3-0-0_095086_2013-12-02_final
2013-12-04 09:41:15	ga_ls8c_ard_3-0-0_093086_2013-12-04_final
2013-12-06 09:28:53	ga_ls8c_ard_3-0-0_091086_2013-12-05_final
2013-12-08 09:16:31	ga_ls8c_ard_3-0-0_089086_2013-12-07_final
2013-12-11 09:47:00	ga_ls8c_ard_3-0-0_094085_2013-12-11_final
2013-12-11 09:47:24	ga_ls8c_ard_3-0-0_094086_2013-12-11_final
2013-12-18 09:53:05	ga_ls8c_ard_3-0-0_095085_2013-12-18_final
2013-12-18 09:53:29	ga_ls8c_ard_3-0-0_095086_2013-12-18_final
2013-12-20 09:41:05	ga_ls8c_ard_3-0-0_093086_2013-12-20_final
2013-12-22 09:28:44	ga_ls8c_ard_3-0-0_091086_2013-12-21_final
2013-12-24 09:16:22	ga_ls8c_ard_3-0-0_089086_2013-12-23_final
2013-12-27 09:47:15	ga_ls8c_ard_3-0-0_094086_2013-12-27_final
2013-12-29 09:34:52	ga_ls8c_ard_3-0-0_092086_2013-12-29_final
2014-01-19 09:53:08	ga_ls8c_ard_3-0-0_095086_2014-01-19_final
2014-01-21 09:40:46	ga_ls8c_ard_3-0-0_093086_2014-01-21_final
2014-01-23 09:28:24	ga_ls8c_ard_3-0-0_091086_2014-01-22_final
2014-02-01 09:21:45	ga_ls8c_ard_3-0-0_090085_2014-01-31_final
2014-02-01 09:22:09	ga_ls8c_ard_3-0-0_090086_2014-01-31_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
2020-01-02 10:04:34	ga_ls8c_ard_3-1-0_097086_2020-01-02_final
2020-02-10 10:10:11	ga_ls8c_ard_3-1-0_098085_2020-02-10_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
2020-02-12 09:58:13	ga_ls8c_ard_3-1-0_096086_2020-02-12_final
2020-02-12 11:36:42	ga_ls8c_ard_3-1-0_112085_2020-02-12_final
2020-02-14 09:45:51	ga_ls8c_ard_3-1-0_094086_2020-02-14_final
2020-02-16 09:33:29	ga_ls8c_ard_3-1-0_092086_2020-02-16_final
2020-02-17 10:16:20	ga_ls8c_ard_3-1-0_099085_2020-02-17_final
2020-02-26 10:10:07	ga_ls8c_ard_3-1-0_098085_2020-02-26_final
2020-02-26 10:10:31	ga_ls8c_ard_3-1-0_098086_2020-02-26_final
2020-02-27 09:14:29	ga_ls8c_ard_3-1-0_089085_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
2020-03-06 10:03:53	ga_ls8c_ard_3-1-0_097085_2020-03-06_final
2020-03-06 10:04:17	ga_ls8c_ard_3-1-0_097086_2020-03-06_final
2020-04-06 09:20:45	ga_ls8c_ard_3-1-0_090086_2020-04-05_final
2020-04-07 10:04:00	ga_ls8c_ard_3-1-0_097086_2020-04-07_final
2020-05-18 09:57:12	ga_ls8c_ard_3-1-0_096085_2020-05-18_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 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-20_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
2020-10-23 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
2020-11-23 11:06:05	ga_ls8c_ard_3-1-0_107085_2020-11-23_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 09:14:52	ga_ls8c_ard_3-1-0_089085_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
2021-01-06 11:30:43	ga_ls8c_ard_3-2-0_111085_2021-01-06_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
2021-01-08 11:18:21	ga_ls8c_ard_3-2-0_109085_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
2022-06-06 09:27:20	ga_ls8c_ard_3-2-1_091086_2022-06-05_final
2022-06-07 10:10:13	ga_ls8c_ard_3-2-1_098085_2022-06-07_final
2022-06-08 09:14:36	ga_ls8c_ard_3-2-1_089085_2022-06-07_final
2022-06-08 09:15:00	ga_ls8c_ard_3-2-1_089086_2022-06-07_final
2022-06-09 09:57:53	ga_ls8c_ard_3-2-1_096085_2022-06-09_final
2022-06-09 09:58:16	ga_ls8c_ard_3-2-1_096086_2022-06-09_final
2022-06-11 09:45:32	ga_ls8c_ard_3-2-1_094085_2022-06-11_final
2022-06-11 09:45:56	ga_ls8c_ard_3-2-1_094086_2022-06-11_final
2022-06-11 11:24:25	ga_ls8c_ard_3-2-1_110085_2022-06-11_final
2022-06-22 09:27:05	ga_ls8c_ard_3-2-1_091085_2022-06-21_final
2022-06-22 09:27:29	ga_ls8c_ard_3-2-1_091086_2022-06-21_final
2022-06-23 10:10:21	ga_ls8c_ard_3-2-1_098085_2022-06-23_final
2022-06-24 09:14:44	ga_ls8c_ard_3-2-1_089085_2022-06-23_final
2022-06-24 09:15:08	ga_ls8c_ard_3-2-1_089086_2022-06-23_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_final
2022-07-24 09:27:12	ga_ls8c_ard_3-2-1_091085_2022-07-23_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