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
2015-04-21 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 09:33:12	ga_ls8c_ard_3-0-0_092087_2015-04-23_final
2015-04-28 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-04-28_final
2015-04-30 09:39:17	ga_ls8c_ard_3-0-0_093087_2015-04-30_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 09:20:33	ga_ls8c_ard_3-0-0_090087_2015-05-10_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
2015-05-30 09:51:04	ga_ls8c_ard_3-0-0_095086_2015-05-30_final
2015-05-30 09:51:28	ga_ls8c_ard_3-0-0_095087_2015-05-30_final
2015-06-01 09:38:45	ga_ls8c_ard_3-0-0_093086_2015-06-01_final
2015-06-01 09:39:09	ga_ls8c_ard_3-0-0_093087_2015-06-01_final
2015-06-15 09:51:17	ga_ls8c_ard_3-0-0_095086_2015-06-15_final
2015-06-15 09:51:40	ga_ls8c_ard_3-0-0_095087_2015-06-15_final
2015-06-17 09:38:56	ga_ls8c_ard_3-0-0_093086_2015-06-17_final
2015-06-17 09:39:20	ga_ls8c_ard_3-0-0_093087_2015-06-17_final
2015-06-24 09:45:08	ga_ls8c_ard_3-0-0_094086_2015-06-24_final
2015-06-24 09:45:32	ga_ls8c_ard_3-0-0_094087_2015-06-24_final
2015-06-26 09:32:46	ga_ls8c_ard_3-0-0_092086_2015-06-26_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-06-28 09:20:27	ga_ls8c_ard_3-0-0_090086_2015-06-27_final
2015-06-28 09:20:51	ga_ls8c_ard_3-0-0_090087_2015-06-27_final
2015-06-29 10:03:43	ga_ls8c_ard_3-0-0_097086_2015-06-29_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
2015-07-14 09:20:38	ga_ls8c_ard_3-0-0_090086_2015-07-13_final
2015-07-14 09:21:02	ga_ls8c_ard_3-0-0_090087_2015-07-13_final
2015-07-15 10:03:54	ga_ls8c_ard_3-0-0_097086_2015-07-15_final
2015-07-24 09:57:46	ga_ls8c_ard_3-0-0_096086_2015-07-24_final
2015-07-24 09:58:10	ga_ls8c_ard_3-0-0_096087_2015-07-24_final
2015-07-26 09:45:25	ga_ls8c_ard_3-0-0_094086_2015-07-26_final
2015-07-26 09:45:49	ga_ls8c_ard_3-0-0_094087_2015-07-26_final
2015-08-16 10:04:04	ga_ls8c_ard_3-0-0_097086_2015-08-16_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
2016-12-14 09:27:33	ga_ls8c_ard_3-0-0_091086_2016-12-13_final
2016-12-14 09:27:57	ga_ls8c_ard_3-0-0_091087_2016-12-13_final
2016-12-21 09:34:05	ga_ls8c_ard_3-0-0_092087_2016-12-21_final
2016-12-23 09:21:20	ga_ls8c_ard_3-0-0_090086_2016-12-22_final
2016-12-23 09:21:43	ga_ls8c_ard_3-0-0_090087_2016-12-22_final
2016-12-24 10:04:35	ga_ls8c_ard_3-0-0_097086_2016-12-24_final
2016-12-30 09:27:30	ga_ls8c_ard_3-0-0_091086_2016-12-29_final
2016-12-30 09:27:54	ga_ls8c_ard_3-0-0_091087_2016-12-29_final
2016-12-31 10:10:46	ga_ls8c_ard_3-0-0_098086_2016-12-31_final
2017-01-01 09:15:08	ga_ls8c_ard_3-0-0_089086_2016-12-31_final
2017-01-01 09:15:32	ga_ls8c_ard_3-0-0_089087_2016-12-31_final
2017-01-31 09:27:19	ga_ls8c_ard_3-0-0_091086_2017-01-30_final
2017-01-31 09:27:43	ga_ls8c_ard_3-0-0_091087_2017-01-30_final
2017-02-07 09:33:26	ga_ls8c_ard_3-0-0_092086_2017-02-07_final
2017-02-07 09:33:50	ga_ls8c_ard_3-0-0_092087_2017-02-07_final
2017-02-09 09:21:03	ga_ls8c_ard_3-0-0_090086_2017-02-08_final
2017-02-09 09:21:27	ga_ls8c_ard_3-0-0_090087_2017-02-08_final
2017-02-16 09:27:12	ga_ls8c_ard_3-0-0_091086_2017-02-15_final
2017-02-16 09:27:36	ga_ls8c_ard_3-0-0_091087_2017-02-15_final
2017-03-04 09:27:30	ga_ls8c_ard_3-0-0_091087_2017-03-03_final
2017-03-14 10:04:05	ga_ls8c_ard_3-0-0_097086_2017-03-14_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-06-07 09:51:11	ga_ls8c_ard_3-0-0_095087_2018-06-07_final
2018-06-09 09:38:27	ga_ls8c_ard_3-0-0_093086_2018-06-09_final
2018-06-09 09:38:51	ga_ls8c_ard_3-0-0_093087_2018-06-09_final
2018-06-23 09:50:58	ga_ls8c_ard_3-0-0_095086_2018-06-23_final
2018-06-23 09:51:22	ga_ls8c_ard_3-0-0_095087_2018-06-23_final
2018-06-25 09:38:38	ga_ls8c_ard_3-0-0_093086_2018-06-25_final
2018-06-25 09:39:02	ga_ls8c_ard_3-0-0_093087_2018-06-25_final
2018-07-09 09:51:07	ga_ls8c_ard_3-0-0_095086_2018-07-09_final
2018-07-09 09:51:31	ga_ls8c_ard_3-0-0_095087_2018-07-09_final
2018-07-11 09:38:46	ga_ls8c_ard_3-0-0_093086_2018-07-11_final
2018-07-11 09:39:10	ga_ls8c_ard_3-0-0_093087_2018-07-11_final
2018-08-10 09:51:23	ga_ls8c_ard_3-0-0_095086_2018-08-10_final
2018-08-10 09:51:46	ga_ls8c_ard_3-0-0_095087_2018-08-10_final
2018-08-12 09:39:02	ga_ls8c_ard_3-0-0_093086_2018-08-12_final
2018-08-12 09:39:26	ga_ls8c_ard_3-0-0_093087_2018-08-12_final
2018-09-16 10:10:09	ga_ls8c_ard_3-0-0_098086_2018-09-16_final
2018-09-17 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-09-16_final
2018-09-17 09:14:56	ga_ls8c_ard_3-0-0_089087_2018-09-16_final
2024-01-19 09:27:23	ga_ls8c_ard_3-2-1_091086_2024-01-18_final
2024-01-19 09:27:47	ga_ls8c_ard_3-2-1_091087_2024-01-18_final
2024-01-21 09:15:00	ga_ls8c_ard_3-2-1_089086_2024-01-20_final
2024-01-22 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-22_final
2024-01-24 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-01-24_final
2024-01-24 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-01-24_final
2024-01-26 09:33:27	ga_ls8c_ard_3-2-1_092086_2024-01-26_final
2024-01-26 09:33:51	ga_ls8c_ard_3-2-1_092087_2024-01-26_final
2024-01-28 09:21:06	ga_ls8c_ard_3-2-1_090086_2024-01-27_final
2024-01-28 09:21:30	ga_ls8c_ard_3-2-1_090087_2024-01-27_final
2024-02-02 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-02_final
2024-02-02 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-02_final
2024-02-04 09:27:21	ga_ls8c_ard_3-2-1_091086_2024-02-03_final
2024-02-04 09:27:45	ga_ls8c_ard_3-2-1_091087_2024-02-03_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_final
2024-03-07 09:27:08	ga_ls8c_ard_3-2-1_091086_2024-03-06_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