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
2014-07-07 09:45:38	ga_ls8c_ard_3-0-0_094086_2014-07-07_final
2014-07-07 09:46:02	ga_ls8c_ard_3-0-0_094087_2014-07-07_final
2014-07-09 09:33:18	ga_ls8c_ard_3-0-0_092086_2014-07-09_final
2014-07-09 09:33:42	ga_ls8c_ard_3-0-0_092087_2014-07-09_final
2014-08-01 09:39:36	ga_ls8c_ard_3-0-0_093086_2014-08-01_final
2014-08-01 09:40:00	ga_ls8c_ard_3-0-0_093087_2014-08-01_final
2014-08-03 09:27:16	ga_ls8c_ard_3-0-0_091086_2014-08-02_final
2014-08-03 09:27:39	ga_ls8c_ard_3-0-0_091087_2014-08-02_final
2014-08-05 09:14:55	ga_ls8c_ard_3-0-0_089086_2014-08-04_final
2014-08-17 09:39:42	ga_ls8c_ard_3-0-0_093086_2014-08-17_final
2014-08-17 09:40:06	ga_ls8c_ard_3-0-0_093087_2014-08-17_final
2014-08-19 09:27:21	ga_ls8c_ard_3-0-0_091086_2014-08-18_final
2014-08-19 09:27:45	ga_ls8c_ard_3-0-0_091087_2014-08-18_final
2014-08-21 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-08-20_final
2014-08-22 09:58:15	ga_ls8c_ard_3-0-0_096086_2014-08-22_final
2014-09-02 09:39:44	ga_ls8c_ard_3-0-0_093086_2014-09-02_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
2014-09-06 09:15:02	ga_ls8c_ard_3-0-0_089086_2014-09-05_final
2014-09-18 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-09-18_final
2014-09-18 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-09-18_final
2014-10-25 09:58:23	ga_ls8c_ard_3-0-0_096086_2014-10-25_final
2014-10-27 09:46:00	ga_ls8c_ard_3-0-0_094086_2014-10-27_final
2014-10-27 09:46:24	ga_ls8c_ard_3-0-0_094087_2014-10-27_final
2014-10-29 09:33:37	ga_ls8c_ard_3-0-0_092086_2014-10-29_final
2014-10-29 09:34:01	ga_ls8c_ard_3-0-0_092087_2014-10-29_final
2014-10-31 09:21:15	ga_ls8c_ard_3-0-0_090086_2014-10-30_final
2014-10-31 09:21:39	ga_ls8c_ard_3-0-0_090087_2014-10-30_final
2014-11-03 09:52:35	ga_ls8c_ard_3-0-0_095087_2014-11-03_final
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
2014-12-23 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-12-23_final
2014-12-23 09:40:09	ga_ls8c_ard_3-0-0_093087_2014-12-23_final
2014-12-25 09:27:22	ga_ls8c_ard_3-0-0_091086_2014-12-24_final
2014-12-25 09:27:46	ga_ls8c_ard_3-0-0_091087_2014-12-24_final
2014-12-27 09:14:59	ga_ls8c_ard_3-0-0_089086_2014-12-26_final
2014-12-30 09:46:15	ga_ls8c_ard_3-0-0_094087_2014-12-30_final
2016-10-16 09:46:08	ga_ls8c_ard_3-0-0_094086_2016-10-16_final
2016-10-16 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-10-16_final
2016-10-28 10:10:53	ga_ls8c_ard_3-0-0_098086_2016-10-28_final
2016-10-29 09:15:16	ga_ls8c_ard_3-0-0_089086_2016-10-28_final
2016-10-29 09:15:40	ga_ls8c_ard_3-0-0_089087_2016-10-28_final
2016-10-30 09:58:31	ga_ls8c_ard_3-0-0_096086_2016-10-30_final
2016-10-30 09:58:55	ga_ls8c_ard_3-0-0_096087_2016-10-30_final
2016-11-10 09:39:57	ga_ls8c_ard_3-0-0_093086_2016-11-10_final
2016-11-10 09:40:21	ga_ls8c_ard_3-0-0_093087_2016-11-10_final
2016-11-24 09:52:20	ga_ls8c_ard_3-0-0_095086_2016-11-24_final
2016-11-24 09:52:44	ga_ls8c_ard_3-0-0_095087_2016-11-24_final
2016-12-12 09:39:55	ga_ls8c_ard_3-0-0_093086_2016-12-12_final
2016-12-12 09:40:19	ga_ls8c_ard_3-0-0_093087_2016-12-12_final
2016-12-24 10:04:35	ga_ls8c_ard_3-0-0_097086_2016-12-24_final
2016-12-26 09:52:14	ga_ls8c_ard_3-0-0_095086_2016-12-26_final
2016-12-26 09:52:37	ga_ls8c_ard_3-0-0_095087_2016-12-26_final
2017-01-06 09:34:03	ga_ls8c_ard_3-0-0_092087_2017-01-06_final
2017-01-08 09:21:17	ga_ls8c_ard_3-0-0_090086_2017-01-07_final
2017-01-08 09:21:41	ga_ls8c_ard_3-0-0_090087_2017-01-07_final
2017-01-24 09:21:12	ga_ls8c_ard_3-0-0_090086_2017-01-23_final
2017-01-24 09:21:36	ga_ls8c_ard_3-0-0_090087_2017-01-23_final
2017-01-25 10:04:27	ga_ls8c_ard_3-0-0_097086_2017-01-25_final
2017-01-27 09:52:28	ga_ls8c_ard_3-0-0_095087_2017-01-27_final
2017-02-12 09:51:56	ga_ls8c_ard_3-0-0_095086_2017-02-12_final
2017-02-12 09:52:20	ga_ls8c_ard_3-0-0_095087_2017-02-12_final
2017-02-14 09:39:34	ga_ls8c_ard_3-0-0_093086_2017-02-14_final
2017-02-14 09:39:58	ga_ls8c_ard_3-0-0_093087_2017-02-14_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
2017-02-18 09:14:50	ga_ls8c_ard_3-0-0_089086_2017-02-17_final
2017-02-18 09:15:14	ga_ls8c_ard_3-0-0_089087_2017-02-17_final
2017-02-19 09:58:05	ga_ls8c_ard_3-0-0_096086_2017-02-19_final
2017-02-19 09:58:29	ga_ls8c_ard_3-0-0_096087_2017-02-19_final
2017-03-06 09:15:07	ga_ls8c_ard_3-0-0_089087_2017-03-05_final
2017-03-07 09:57:58	ga_ls8c_ard_3-0-0_096086_2017-03-07_final
2017-03-07 09:58:22	ga_ls8c_ard_3-0-0_096087_2017-03-07_final
2017-03-11 09:33:13	ga_ls8c_ard_3-0-0_092086_2017-03-11_final
2017-03-11 09:33:37	ga_ls8c_ard_3-0-0_092087_2017-03-11_final
2017-03-16 09:52:06	ga_ls8c_ard_3-0-0_095087_2017-03-16_final
2020-05-29 09:39:06	ga_ls8c_ard_3-1-0_093086_2020-05-29_final
2020-05-29 09:39:29	ga_ls8c_ard_3-1-0_093087_2020-05-29_final
2020-05-31 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-05-30_final
2020-05-31 09:27:09	ga_ls8c_ard_3-1-0_091087_2020-05-30_final
2020-06-01 10:10:02	ga_ls8c_ard_3-1-0_098086_2020-06-01_final
2020-06-02 09:14:25	ga_ls8c_ard_3-1-0_089086_2020-06-01_final
2020-06-02 09:14:49	ga_ls8c_ard_3-1-0_089087_2020-06-01_final
2020-06-03 09:57:41	ga_ls8c_ard_3-1-0_096086_2020-06-03_final
2020-06-03 09:58:05	ga_ls8c_ard_3-1-0_096087_2020-06-03_final
2020-06-17 10:10:12	ga_ls8c_ard_3-1-0_098086_2020-06-17_final
2020-06-18 09:14:35	ga_ls8c_ard_3-1-0_089086_2020-06-17_final
2020-06-18 09:14:59	ga_ls8c_ard_3-1-0_089087_2020-06-17_final
2020-06-19 09:57:51	ga_ls8c_ard_3-1-0_096086_2020-06-19_final
2020-06-19 09:58:15	ga_ls8c_ard_3-1-0_096087_2020-06-19_final
2020-07-23 09:45:43	ga_ls8c_ard_3-1-0_094086_2020-07-23_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-07-25 09:33:22	ga_ls8c_ard_3-1-0_092086_2020-07-25_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-08-01 09:39:35	ga_ls8c_ard_3-1-0_093086_2020-08-01_final
2020-08-01 09:39:59	ga_ls8c_ard_3-1-0_093087_2020-08-01_final
2020-08-03 09:27:13	ga_ls8c_ard_3-1-0_091086_2020-08-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years