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
2013-03-26 09:41:16	ga_ls8c_ard_3-0-0_093087_2013-03-26_final
2013-04-26 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-04-25_final
2013-05-19 09:35:52	ga_ls8c_ard_3-0-0_092087_2013-05-19_final
2013-05-21 09:23:31	ga_ls8c_ard_3-0-0_090087_2013-05-20_final
2013-05-28 09:29:43	ga_ls8c_ard_3-0-0_091087_2013-05-27_final
2013-06-20 09:35:46	ga_ls8c_ard_3-0-0_092087_2013-06-20_final
2013-06-22 09:23:24	ga_ls8c_ard_3-0-0_090087_2013-06-21_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-21 09:47:51	ga_ls8c_ard_3-0-0_094086_2013-08-21_final
2013-08-21 09:48:15	ga_ls8c_ard_3-0-0_094087_2013-08-21_final
2013-08-23 09:35:29	ga_ls8c_ard_3-0-0_092086_2013-08-23_final
2013-08-23 09:35:53	ga_ls8c_ard_3-0-0_092087_2013-08-23_final
2013-08-25 09:23:08	ga_ls8c_ard_3-0-0_090086_2013-08-24_final
2013-08-25 09:23:32	ga_ls8c_ard_3-0-0_090087_2013-08-24_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_final
2013-08-28 09:54:26	ga_ls8c_ard_3-0-0_095087_2013-08-28_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_final
2013-08-30 09:42:05	ga_ls8c_ard_3-0-0_093087_2013-08-30_final
2013-09-01 09:29:19	ga_ls8c_ard_3-0-0_091086_2013-08-31_final
2013-09-01 09:29:43	ga_ls8c_ard_3-0-0_091087_2013-08-31_final
2013-09-03 09:16:57	ga_ls8c_ard_3-0-0_089086_2013-09-02_final
2013-09-22 09:47:44	ga_ls8c_ard_3-0-0_094086_2013-09-22_final
2013-09-22 09:48:08	ga_ls8c_ard_3-0-0_094087_2013-09-22_final
2013-09-24 09:35:21	ga_ls8c_ard_3-0-0_092086_2013-09-24_final
2013-09-24 09:35:45	ga_ls8c_ard_3-0-0_092087_2013-09-24_final
2013-10-08 09:47:42	ga_ls8c_ard_3-0-0_094086_2013-10-08_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-10-12 09:22:58	ga_ls8c_ard_3-0-0_090086_2013-10-11_final
2013-10-12 09:23:22	ga_ls8c_ard_3-0-0_090087_2013-10-11_final
2013-11-02 09:41:46	ga_ls8c_ard_3-0-0_093087_2013-11-02_final
2013-11-04 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-11-03_final
2013-11-04 09:29:25	ga_ls8c_ard_3-0-0_091087_2013-11-03_final
2013-11-06 09:16:39	ga_ls8c_ard_3-0-0_089086_2013-11-05_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-11-13 09:23:13	ga_ls8c_ard_3-0-0_090087_2013-11-12_final
2018-02-13 10:04:10	ga_ls8c_ard_3-0-0_097086_2018-02-13_final
2018-02-15 09:51:48	ga_ls8c_ard_3-0-0_095086_2018-02-15_final
2018-02-15 09:52:12	ga_ls8c_ard_3-0-0_095087_2018-02-15_final
2018-08-23 09:20:35	ga_ls8c_ard_3-0-0_090086_2018-08-22_final
2018-08-23 09:20:59	ga_ls8c_ard_3-0-0_090087_2018-08-22_final
2018-10-06 09:45:35	ga_ls8c_ard_3-0-0_094086_2018-10-06_final
2018-10-06 09:45:59	ga_ls8c_ard_3-0-0_094087_2018-10-06_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
2018-10-17 09:27:07	ga_ls8c_ard_3-0-0_091086_2018-10-16_final
2018-10-17 09:27:31	ga_ls8c_ard_3-0-0_091087_2018-10-16_final
2018-10-18 10:10:23	ga_ls8c_ard_3-0-0_098086_2018-10-18_final
2018-10-19 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-10-18_final
2018-10-19 09:15:10	ga_ls8c_ard_3-0-0_089087_2018-10-18_final
2018-10-20 09:58:02	ga_ls8c_ard_3-0-0_096086_2018-10-20_final
2018-10-20 09:58:26	ga_ls8c_ard_3-0-0_096087_2018-10-20_final
2019-07-17 10:10:29	ga_ls8c_ard_3-1-0_098086_2019-07-17_final
2019-07-18 09:14:52	ga_ls8c_ard_3-1-0_089086_2019-07-17_final
2019-07-18 09:15:15	ga_ls8c_ard_3-1-0_089087_2019-07-17_final
2019-07-19 09:58:07	ga_ls8c_ard_3-1-0_096086_2019-07-19_final
2019-07-19 09:58:31	ga_ls8c_ard_3-1-0_096087_2019-07-19_final
2019-08-02 10:10:35	ga_ls8c_ard_3-1-0_098086_2019-08-02_final
2019-08-03 09:14:58	ga_ls8c_ard_3-1-0_089086_2019-08-02_final
2019-08-03 09:15:22	ga_ls8c_ard_3-1-0_089087_2019-08-02_final
2019-08-04 09:58:15	ga_ls8c_ard_3-1-0_096086_2019-08-04_final
2019-08-04 09:58:38	ga_ls8c_ard_3-1-0_096087_2019-08-04_final
2019-08-26 09:21:16	ga_ls8c_ard_3-1-0_090086_2019-08-25_final
2019-08-26 09:21:40	ga_ls8c_ard_3-1-0_090087_2019-08-25_final
2019-08-27 10:04:32	ga_ls8c_ard_3-1-0_097086_2019-08-27_final
2019-09-02 09:27:28	ga_ls8c_ard_3-1-0_091086_2019-09-01_final
2019-09-02 09:27:52	ga_ls8c_ard_3-1-0_091087_2019-09-01_final
2019-09-05 09:58:23	ga_ls8c_ard_3-1-0_096086_2019-09-05_final
2019-09-05 09:58:47	ga_ls8c_ard_3-1-0_096087_2019-09-05_final
2019-09-11 09:21:20	ga_ls8c_ard_3-1-0_090086_2019-09-10_final
2019-09-11 09:21:44	ga_ls8c_ard_3-1-0_090087_2019-09-10_final
2019-09-16 09:39:55	ga_ls8c_ard_3-1-0_093086_2019-09-16_final
2019-09-16 09:40:19	ga_ls8c_ard_3-1-0_093087_2019-09-16_final
2019-09-18 09:27:34	ga_ls8c_ard_3-1-0_091086_2019-09-17_final
2019-09-18 09:27:58	ga_ls8c_ard_3-1-0_091087_2019-09-17_final
2019-09-19 10:10:50	ga_ls8c_ard_3-1-0_098086_2019-09-19_final
2019-09-20 09:15:13	ga_ls8c_ard_3-1-0_089086_2019-09-19_final
2019-09-20 09:15:37	ga_ls8c_ard_3-1-0_089087_2019-09-19_final
2019-09-21 09:58:29	ga_ls8c_ard_3-1-0_096086_2019-09-21_final
2019-09-21 09:58:53	ga_ls8c_ard_3-1-0_096087_2019-09-21_final
2019-10-05 10:10:54	ga_ls8c_ard_3-1-0_098086_2019-10-05_final
2019-10-06 09:15:17	ga_ls8c_ard_3-1-0_089086_2019-10-05_final
2019-10-06 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-10-05_final
2019-10-07 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-10-07_final
2019-10-07 09:58:57	ga_ls8c_ard_3-1-0_096087_2019-10-07_final
2019-10-27 09:33:51	ga_ls8c_ard_3-1-0_092086_2019-10-27_final
2019-10-27 09:34:15	ga_ls8c_ard_3-1-0_092087_2019-10-27_final
2019-10-29 09:21:29	ga_ls8c_ard_3-1-0_090086_2019-10-28_final
2019-10-29 09:21:53	ga_ls8c_ard_3-1-0_090087_2019-10-28_final
2019-11-03 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-11-03_final
2019-11-03 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-11-03_final
2019-11-05 09:27:39	ga_ls8c_ard_3-1-0_091086_2019-11-04_final
2019-11-05 09:28:03	ga_ls8c_ard_3-1-0_091087_2019-11-04_final
2019-11-06 10:10:55	ga_ls8c_ard_3-1-0_098086_2019-11-06_final
2019-11-07 09:15:17	ga_ls8c_ard_3-1-0_089086_2019-11-06_final
2019-11-07 09:15:41	ga_ls8c_ard_3-1-0_089087_2019-11-06_final
2019-11-08 09:58:33	ga_ls8c_ard_3-1-0_096086_2019-11-08_final
2019-11-08 09:58:57	ga_ls8c_ard_3-1-0_096087_2019-11-08_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