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
2014-02-20 09:53:11	ga_ls8c_ard_3-0-0_095087_2014-02-20_final
2014-02-22 09:40:48	ga_ls8c_ard_3-0-0_093087_2014-02-22_final
2014-02-24 09:28:25	ga_ls8c_ard_3-0-0_091087_2014-02-23_final
2014-05-17 09:14:26	ga_ls8c_ard_3-0-0_089086_2014-05-16_final
2014-05-18 09:57:42	ga_ls8c_ard_3-0-0_096086_2014-05-18_final
2014-05-20 09:45:43	ga_ls8c_ard_3-0-0_094087_2014-05-20_final
2014-05-22 09:32:57	ga_ls8c_ard_3-0-0_092086_2014-05-22_final
2014-05-22 09:33:21	ga_ls8c_ard_3-0-0_092087_2014-05-22_final
2014-06-05 09:45:51	ga_ls8c_ard_3-0-0_094087_2014-06-05_final
2014-06-07 09:33:31	ga_ls8c_ard_3-0-0_092087_2014-06-07_final
2014-06-09 09:21:10	ga_ls8c_ard_3-0-0_090087_2014-06-08_final
2014-07-04 09:14:43	ga_ls8c_ard_3-0-0_089086_2014-07-03_final
2014-07-05 09:57:59	ga_ls8c_ard_3-0-0_096086_2014-07-05_final
2014-07-14 09:52:15	ga_ls8c_ard_3-0-0_095087_2014-07-14_final
2014-07-16 09:39:54	ga_ls8c_ard_3-0-0_093087_2014-07-16_final
2014-07-18 09:27:33	ga_ls8c_ard_3-0-0_091087_2014-07-17_final
2014-08-01 09:40:00	ga_ls8c_ard_3-0-0_093087_2014-08-01_final
2014-08-08 09:45:50	ga_ls8c_ard_3-0-0_094086_2014-08-08_final
2014-08-08 09:46:14	ga_ls8c_ard_3-0-0_094087_2014-08-08_final
2014-08-10 09:33:53	ga_ls8c_ard_3-0-0_092087_2014-08-10_final
2014-08-21 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-08-20_final
2014-08-31 09:52:29	ga_ls8c_ard_3-0-0_095087_2014-08-31_final
2014-09-02 09:40:08	ga_ls8c_ard_3-0-0_093087_2014-09-02_final
2014-09-04 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-09-03_final
2014-09-04 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-03_final
2014-09-16 09:52:32	ga_ls8c_ard_3-0-0_095087_2014-09-16_final
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_final
2014-09-23 09:58:16	ga_ls8c_ard_3-0-0_096086_2014-09-23_final
2014-09-25 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-09-25_final
2014-09-25 09:46:17	ga_ls8c_ard_3-0-0_094087_2014-09-25_final
2014-09-27 09:33:33	ga_ls8c_ard_3-0-0_092086_2014-09-27_final
2014-09-27 09:33:57	ga_ls8c_ard_3-0-0_092087_2014-09-27_final
2014-10-02 09:52:09	ga_ls8c_ard_3-0-0_095086_2014-10-02_final
2014-10-02 09:52:33	ga_ls8c_ard_3-0-0_095087_2014-10-02_final
2014-10-04 09:40:13	ga_ls8c_ard_3-0-0_093087_2014-10-04_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2014-10-18 09:52:38	ga_ls8c_ard_3-0-0_095087_2014-10-18_final
2014-11-03 09:52:35	ga_ls8c_ard_3-0-0_095087_2014-11-03_final
2014-11-05 09:39:51	ga_ls8c_ard_3-0-0_093086_2014-11-05_final
2014-11-05 09:40:15	ga_ls8c_ard_3-0-0_093087_2014-11-05_final
2014-11-19 09:52:34	ga_ls8c_ard_3-0-0_095087_2014-11-19_final
2015-08-31 09:20:54	ga_ls8c_ard_3-0-0_090086_2015-08-30_final
2015-08-31 09:21:18	ga_ls8c_ard_3-0-0_090087_2015-08-30_final
2015-09-01 10:04:10	ga_ls8c_ard_3-0-0_097086_2015-09-01_final
2015-09-14 09:33:22	ga_ls8c_ard_3-0-0_092086_2015-09-14_final
2015-09-14 09:33:46	ga_ls8c_ard_3-0-0_092087_2015-09-14_final
2015-09-16 09:21:02	ga_ls8c_ard_3-0-0_090086_2015-09-15_final
2015-09-16 09:21:26	ga_ls8c_ard_3-0-0_090087_2015-09-15_final
2015-09-17 10:04:18	ga_ls8c_ard_3-0-0_097086_2015-09-17_final
2015-10-16 09:33:51	ga_ls8c_ard_3-0-0_092087_2015-10-16_final
2015-10-18 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-10-17_final
2015-10-18 09:21:31	ga_ls8c_ard_3-0-0_090087_2015-10-17_final
2015-10-25 09:27:21	ga_ls8c_ard_3-0-0_091086_2015-10-24_final
2015-10-25 09:27:45	ga_ls8c_ard_3-0-0_091087_2015-10-24_final
2015-10-26 10:10:37	ga_ls8c_ard_3-0-0_098086_2015-10-26_final
2015-10-27 09:15:00	ga_ls8c_ard_3-0-0_089086_2015-10-26_final
2015-10-27 09:15:24	ga_ls8c_ard_3-0-0_089087_2015-10-26_final
2015-11-01 09:33:58	ga_ls8c_ard_3-0-0_092087_2015-11-01_final
2015-11-03 09:21:36	ga_ls8c_ard_3-0-0_090087_2015-11-02_final
2015-11-04 10:04:28	ga_ls8c_ard_3-0-0_097086_2015-11-04_final
2015-11-17 09:33:58	ga_ls8c_ard_3-0-0_092087_2015-11-17_final
2015-11-19 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-11-18_final
2015-11-19 09:21:37	ga_ls8c_ard_3-0-0_090087_2015-11-18_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2015-12-05 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-04_final
2016-05-04 09:26:54	ga_ls8c_ard_3-0-0_091086_2016-05-03_final
2016-05-04 09:27:18	ga_ls8c_ard_3-0-0_091087_2016-05-03_final
2016-05-20 09:26:52	ga_ls8c_ard_3-0-0_091086_2016-05-19_final
2016-05-20 09:27:16	ga_ls8c_ard_3-0-0_091087_2016-05-19_final
2016-06-05 09:26:57	ga_ls8c_ard_3-0-0_091086_2016-06-04_final
2016-06-05 09:27:21	ga_ls8c_ard_3-0-0_091087_2016-06-04_final
2016-06-30 09:21:19	ga_ls8c_ard_3-0-0_090087_2016-06-29_final
2016-07-01 10:04:12	ga_ls8c_ard_3-0-0_097086_2016-07-01_final
2016-07-03 09:51:51	ga_ls8c_ard_3-0-0_095086_2016-07-03_final
2016-07-03 09:52:15	ga_ls8c_ard_3-0-0_095087_2016-07-03_final
2016-07-05 09:39:55	ga_ls8c_ard_3-0-0_093087_2016-07-05_final
2016-08-08 09:27:42	ga_ls8c_ard_3-0-0_091087_2016-08-07_final
2018-05-22 09:51:19	ga_ls8c_ard_3-0-0_095087_2018-05-22_final
2018-05-24 09:38:56	ga_ls8c_ard_3-0-0_093087_2018-05-24_final
2018-06-18 09:32:46	ga_ls8c_ard_3-0-0_092087_2018-06-18_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-06-20 09:20:26	ga_ls8c_ard_3-0-0_090087_2018-06-19_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2018-07-20 09:33:03	ga_ls8c_ard_3-0-0_092087_2018-07-20_final
2018-07-22 09:20:18	ga_ls8c_ard_3-0-0_090086_2018-07-21_final
2018-07-22 09:20:42	ga_ls8c_ard_3-0-0_090087_2018-07-21_final
2018-07-23 10:03:34	ga_ls8c_ard_3-0-0_097086_2018-07-23_final
2018-07-30 10:09:48	ga_ls8c_ard_3-0-0_098086_2018-07-30_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-08-14 09:26:41	ga_ls8c_ard_3-0-0_091086_2018-08-13_final
2018-08-14 09:27:05	ga_ls8c_ard_3-0-0_091087_2018-08-13_final
2018-08-31 10:10:05	ga_ls8c_ard_3-0-0_098086_2018-08-31_final
2018-09-01 09:14:28	ga_ls8c_ard_3-0-0_089086_2018-08-31_final
2018-09-01 09:14:52	ga_ls8c_ard_3-0-0_089087_2018-08-31_final
2019-02-24 09:15:01	ga_ls8c_ard_3-0-0_089087_2019-02-23_final
2019-04-13 09:14:47	ga_ls8c_ard_3-1-0_089087_2019-04-12_final
2022-01-09 09:52:14	ga_ls8c_ard_3-2-1_095086_2022-01-09_final
2022-01-09 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-01-09_final
2022-01-18 09:46:25	ga_ls8c_ard_3-2-1_094087_2022-01-18_final
2022-01-25 09:52:09	ga_ls8c_ard_3-2-1_095086_2022-01-25_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