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
2013-04-12 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
2013-06-09 09:54:01	ga_ls8c_ard_3-0-0_095086_2013-06-09_final
2013-06-11 09:41:38	ga_ls8c_ard_3-0-0_093086_2013-06-11_final
2013-06-13 09:29:16	ga_ls8c_ard_3-0-0_091086_2013-06-12_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
2013-07-11 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-07-11_final
2013-08-14 09:41:38	ga_ls8c_ard_3-0-0_093086_2013-08-14_final
2013-08-16 09:29:16	ga_ls8c_ard_3-0-0_091086_2013-08-15_final
2013-08-23 09:35:29	ga_ls8c_ard_3-0-0_092086_2013-08-23_final
2013-08-25 09:22:44	ga_ls8c_ard_3-0-0_090085_2013-08-24_final
2013-08-25 09:23:08	ga_ls8c_ard_3-0-0_090086_2013-08-24_final
2013-08-26 10:06:00	ga_ls8c_ard_3-0-0_097085_2013-08-26_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_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
2013-09-22 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
2013-09-29 09:53:52	ga_ls8c_ard_3-0-0_095086_2013-09-29_final
2013-10-19 09:29:06	ga_ls8c_ard_3-0-0_091086_2013-10-18_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
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-02 09:41:22	ga_ls8c_ard_3-0-0_093086_2013-11-02_final
2013-11-06 09:16:39	ga_ls8c_ard_3-0-0_089086_2013-11-05_final
2013-11-09 09:47:33	ga_ls8c_ard_3-0-0_094086_2013-11-09_final
2013-11-11 09:35:11	ga_ls8c_ard_3-0-0_092086_2013-11-11_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
2013-11-16 09:53:41	ga_ls8c_ard_3-0-0_095086_2013-11-16_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
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 09:47:24	ga_ls8c_ard_3-0-0_094086_2013-12-11_final
2013-12-13 09:35:01	ga_ls8c_ard_3-0-0_092086_2013-12-13_final
2013-12-15 09:22:38	ga_ls8c_ard_3-0-0_090086_2013-12-14_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
2014-01-12 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
2014-01-19 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
2014-01-28 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
2014-02-01 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
2017-04-24 09:57:32	ga_ls8c_ard_3-0-0_096086_2017-04-24_final
2017-04-26 09:45:09	ga_ls8c_ard_3-0-0_094086_2017-04-26_final
2017-05-03 09:51:16	ga_ls8c_ard_3-0-0_095086_2017-05-03_final
2017-05-03 11:29:45	ga_ls8c_ard_3-0-0_111085_2017-05-03_final
2017-05-05 09:38:56	ga_ls8c_ard_3-0-0_093086_2017-05-05_final
2017-05-05 11:17:25	ga_ls8c_ard_3-0-0_109085_2017-05-05_final
2017-05-06 10:21:48	ga_ls8c_ard_3-0-0_100085_2017-05-06_final
2017-05-19 09:51:28	ga_ls8c_ard_3-0-0_095086_2017-05-19_final
2017-05-19 11:29:57	ga_ls8c_ard_3-0-0_111085_2017-05-19_final
2017-05-21 09:39:08	ga_ls8c_ard_3-0-0_093086_2017-05-21_final
2017-06-22 11:17:51	ga_ls8c_ard_3-0-0_109085_2017-06-22_final
2017-06-23 10:22:14	ga_ls8c_ard_3-0-0_100085_2017-06-23_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_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
2021-01-19 09:21:14	ga_ls8c_ard_3-2-0_090086_2021-01-18_final
2021-01-20 10:04:30	ga_ls8c_ard_3-2-0_097086_2021-01-20_final
2021-09-10 09:58:26	ga_ls8c_ard_3-2-0_096086_2021-09-10_final
2021-09-12 09:46:05	ga_ls8c_ard_3-2-0_094086_2021-09-12_final
2021-09-12 11:24:34	ga_ls8c_ard_3-2-0_110085_2021-09-12_final
2021-09-14 11:12:13	ga_ls8c_ard_3-2-0_108085_2021-09-14_final
2021-09-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2021-09-15_final
2021-10-12 09:58:35	ga_ls8c_ard_3-2-0_096086_2021-10-12_final
2021-10-12 11:37:04	ga_ls8c_ard_3-2-0_112085_2021-10-12_final
2021-10-14 09:45:50	ga_ls8c_ard_3-2-0_094085_2021-10-14_final
2021-10-14 09:46:14	ga_ls8c_ard_3-2-0_094086_2021-10-14_final
2021-10-14 11:24:43	ga_ls8c_ard_3-2-0_110085_2021-10-14_final
2023-06-07 09:38:37	ga_ls8c_ard_3-2-1_093085_2023-06-07_final
2023-06-07 09:39:01	ga_ls8c_ard_3-2-1_093086_2023-06-07_final
2023-06-09 09:26:41	ga_ls8c_ard_3-2-1_091086_2023-06-08_final
2023-06-10 10:09:33	ga_ls8c_ard_3-2-1_098085_2023-06-10_final
2023-06-11 09:14:20	ga_ls8c_ard_3-2-1_089086_2023-06-10_final
2023-06-12 09:57:13	ga_ls8c_ard_3-2-1_096085_2023-06-12_final
2023-06-12 09:57:37	ga_ls8c_ard_3-2-1_096086_2023-06-12_final
2023-06-14 09:45:16	ga_ls8c_ard_3-2-1_094086_2023-06-14_final
2023-06-14 11:23:45	ga_ls8c_ard_3-2-1_110085_2023-06-14_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