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
2014-11-28 09:46:00	ga_ls8c_ard_3-0-0_094086_2014-11-28_final
2014-11-28 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-11-28_final
2014-11-30 09:33:39	ga_ls8c_ard_3-0-0_092086_2014-11-30_final
2014-11-30 09:34:03	ga_ls8c_ard_3-0-0_092087_2014-11-30_final
2014-12-07 09:39:46	ga_ls8c_ard_3-0-0_093086_2014-12-07_final
2014-12-07 09:40:10	ga_ls8c_ard_3-0-0_093087_2014-12-07_final
2014-12-09 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-12-08_final
2014-12-09 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-12-08_final
2014-12-16 09:33:34	ga_ls8c_ard_3-0-0_092086_2014-12-16_final
2014-12-16 09:33:58	ga_ls8c_ard_3-0-0_092087_2014-12-16_final
2014-12-18 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-12-17_final
2014-12-18 09:21:37	ga_ls8c_ard_3-0-0_090087_2014-12-17_final
2015-01-19 09:21:05	ga_ls8c_ard_3-0-0_090086_2015-01-18_final
2015-01-19 09:21:29	ga_ls8c_ard_3-0-0_090087_2015-01-18_final
2015-01-26 09:27:13	ga_ls8c_ard_3-0-0_091086_2015-01-25_final
2015-01-26 09:27:37	ga_ls8c_ard_3-0-0_091087_2015-01-25_final
2015-01-28 09:14:52	ga_ls8c_ard_3-0-0_089086_2015-01-27_final
2015-03-15 09:26:52	ga_ls8c_ard_3-0-0_091086_2015-03-14_final
2015-03-15 09:27:16	ga_ls8c_ard_3-0-0_091087_2015-03-14_final
2015-03-17 09:14:30	ga_ls8c_ard_3-0-0_089086_2015-03-16_final
2015-04-21 09:45:10	ga_ls8c_ard_3-1-0_094086_2015-04-21_final
2015-04-21 09:45:34	ga_ls8c_ard_3-0-0_094087_2015-04-21_final
2015-04-23 09:32:48	ga_ls8c_ard_3-0-0_092086_2015-04-23_final
2015-04-23 09:33:12	ga_ls8c_ard_3-0-0_092087_2015-04-23_final
2015-04-28 09:51:16	ga_ls8c_ard_3-0-0_095086_2015-04-28_final
2015-04-28 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-04-28_final
2015-04-30 09:38:53	ga_ls8c_ard_3-0-0_093086_2015-04-30_final
2015-04-30 09:39:17	ga_ls8c_ard_3-0-0_093087_2015-04-30_final
2015-05-02 09:26:53	ga_ls8c_ard_3-0-0_091087_2015-05-01_final
2015-05-04 09:14:05	ga_ls8c_ard_3-0-0_089086_2015-05-03_final
2015-05-04 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-05-03_final
2015-05-11 09:20:09	ga_ls8c_ard_3-0-0_090086_2015-05-10_final
2015-05-11 09:20:33	ga_ls8c_ard_3-0-0_090087_2015-05-10_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-05-16 09:38:39	ga_ls8c_ard_3-0-0_093086_2015-05-16_final
2015-05-16 09:39:02	ga_ls8c_ard_3-0-0_093087_2015-05-16_final
2015-05-23 09:44:52	ga_ls8c_ard_3-1-0_094086_2015-05-23_final
2015-05-23 09:45:16	ga_ls8c_ard_3-0-0_094087_2015-05-23_final
2015-05-25 09:32:31	ga_ls8c_ard_3-0-0_092086_2015-05-25_final
2015-05-25 09:32:55	ga_ls8c_ard_3-0-0_092087_2015-05-25_final
2015-06-06 09:57:22	ga_ls8c_ard_3-0-0_096086_2015-06-06_final
2015-06-06 09:57:46	ga_ls8c_ard_3-0-0_096087_2015-06-06_final
2015-06-08 09:45:02	ga_ls8c_ard_3-0-0_094086_2015-06-08_final
2015-06-08 09:45:26	ga_ls8c_ard_3-0-0_094087_2015-06-08_final
2015-07-01 09:51:23	ga_ls8c_ard_3-0-0_095086_2015-07-01_final
2015-07-01 09:51:47	ga_ls8c_ard_3-0-0_095087_2015-07-01_final
2015-07-03 09:39:03	ga_ls8c_ard_3-0-0_093086_2015-07-03_final
2015-07-03 09:39:27	ga_ls8c_ard_3-0-0_093087_2015-07-03_final
2015-07-15 10:03:54	ga_ls8c_ard_3-0-0_097086_2015-07-15_final
2015-08-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2015-08-18_final
2015-08-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2015-08-18_final
2015-08-20 09:39:23	ga_ls8c_ard_3-0-0_093086_2015-08-20_final
2015-08-20 09:39:47	ga_ls8c_ard_3-0-0_093087_2015-08-20_final
2018-10-08 09:33:14	ga_ls8c_ard_3-0-0_092086_2018-10-08_final
2018-10-08 09:33:38	ga_ls8c_ard_3-0-0_092087_2018-10-08_final
2018-10-10 09:20:54	ga_ls8c_ard_3-0-0_090086_2018-10-09_final
2018-10-10 09:21:18	ga_ls8c_ard_3-0-0_090087_2018-10-09_final
2018-10-11 10:04:10	ga_ls8c_ard_3-0-0_097086_2018-10-11_final
2018-11-18 09:27:12	ga_ls8c_ard_3-0-0_091086_2018-11-17_final
2018-11-18 09:27:36	ga_ls8c_ard_3-1-0_091087_2018-11-17_final
2020-10-06 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-05_final
2020-10-06 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-10-05_final
2020-10-13 09:33:47	ga_ls8c_ard_3-1-0_092086_2020-10-13_final
2020-10-13 09:34:11	ga_ls8c_ard_3-1-0_092087_2020-10-13_final
2020-10-15 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-14_final
2020-10-15 09:21:49	ga_ls8c_ard_3-1-0_090087_2020-10-14_final
2020-10-16 10:04:41	ga_ls8c_ard_3-1-0_097086_2020-10-16_final
2020-10-22 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-10-21_final
2020-10-22 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-10-21_final
2020-10-29 09:33:46	ga_ls8c_ard_3-1-0_092086_2020-10-29_final
2020-10-29 09:34:10	ga_ls8c_ard_3-1-0_092087_2020-10-29_final
2020-10-31 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-30_final
2020-10-31 09:21:48	ga_ls8c_ard_3-1-0_090087_2020-10-30_final
2020-11-01 10:04:40	ga_ls8c_ard_3-1-0_097086_2020-11-01_final
2020-11-30 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-11-30_final
2020-11-30 09:34:12	ga_ls8c_ard_3-1-0_092087_2020-11-30_final
2020-12-02 09:21:26	ga_ls8c_ard_3-1-0_090086_2020-12-01_final
2020-12-02 09:21:50	ga_ls8c_ard_3-1-0_090087_2020-12-01_final
2020-12-03 10:04:42	ga_ls8c_ard_3-1-0_097086_2020-12-03_final
2020-12-12 09:58:31	ga_ls8c_ard_3-1-0_096086_2020-12-12_final
2020-12-12 09:58:55	ga_ls8c_ard_3-1-0_096087_2020-12-12_final
2020-12-14 09:46:33	ga_ls8c_ard_3-1-0_094087_2020-12-14_final
2021-04-16 09:27:21	ga_ls8c_ard_3-2-0_091087_2021-04-15_final
2021-04-18 09:14:59	ga_ls8c_ard_3-2-0_089087_2021-04-17_final
2021-04-19 09:58:14	ga_ls8c_ard_3-2-0_096087_2021-04-19_final
2021-04-21 09:45:51	ga_ls8c_ard_3-2-0_094087_2021-04-21_final
2021-04-23 09:33:04	ga_ls8c_ard_3-2-0_092086_2021-04-23_final
2021-04-23 09:33:28	ga_ls8c_ard_3-2-0_092087_2021-04-23_final
2021-04-25 09:21:06	ga_ls8c_ard_3-2-0_090087_2021-04-24_final
2021-05-02 09:27:12	ga_ls8c_ard_3-2-0_091087_2021-05-01_final
2021-05-03 10:10:03	ga_ls8c_ard_3-2-0_098086_2021-05-03_final
2021-05-04 09:14:25	ga_ls8c_ard_3-2-0_089086_2021-05-03_final
2021-05-04 09:14:49	ga_ls8c_ard_3-2-0_089087_2021-05-03_final
2021-05-05 09:58:04	ga_ls8c_ard_3-2-0_096087_2021-05-05_final
2021-05-23 09:45:29	ga_ls8c_ard_3-2-0_094086_2021-05-23_final
2021-05-23 09:45:53	ga_ls8c_ard_3-2-0_094087_2021-05-23_final
2021-05-25 09:33:08	ga_ls8c_ard_3-2-0_092086_2021-05-25_final
2021-05-25 09:33:32	ga_ls8c_ard_3-2-0_092087_2021-05-25_final
2021-05-28 10:04:04	ga_ls8c_ard_3-2-0_097086_2021-05-28_final
2021-05-30 09:51:43	ga_ls8c_ard_3-2-0_095086_2021-05-30_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