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
2014-12-12 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-12_final
2014-12-14 09:45:54	ga_ls8c_ard_3-0-0_094086_2014-12-14_final
2014-12-14 09:46:18	ga_ls8c_ard_3-0-0_094087_2014-12-14_final
2015-01-26 09:27:13	ga_ls8c_ard_3-0-0_091086_2015-01-25_final
2015-01-28 09:14:52	ga_ls8c_ard_3-0-0_089086_2015-01-27_final
2015-02-16 09:46:01	ga_ls8c_ard_3-0-0_094087_2015-02-16_final
2015-02-27 09:27:27	ga_ls8c_ard_3-0-0_091087_2015-02-26_final
2015-03-08 09:21:10	ga_ls8c_ard_3-0-0_090087_2015-03-07_final
2015-03-24 09:21:01	ga_ls8c_ard_3-0-0_090087_2015-03-23_final
2015-04-03 09:57:56	ga_ls8c_ard_3-0-0_096087_2015-04-03_final
2015-04-16 09:27:03	ga_ls8c_ard_3-0-0_091087_2015-04-15_final
2015-05-18 09:26:18	ga_ls8c_ard_3-0-0_091086_2015-05-17_final
2015-05-18 09:26:42	ga_ls8c_ard_3-0-0_091087_2015-05-17_final
2015-05-19 10:09:34	ga_ls8c_ard_3-0-0_098086_2015-05-19_final
2015-05-20 09:13:57	ga_ls8c_ard_3-0-0_089086_2015-05-19_final
2015-05-20 09:14:21	ga_ls8c_ard_3-0-0_089087_2015-05-19_final
2015-05-27 09:20:10	ga_ls8c_ard_3-0-0_090086_2015-05-26_final
2015-05-27 09:20:33	ga_ls8c_ard_3-0-0_090087_2015-05-26_final
2015-05-28 10:03:25	ga_ls8c_ard_3-0-0_097086_2015-05-28_final
2015-06-04 10:09:42	ga_ls8c_ard_3-0-0_098086_2015-06-04_final
2015-06-05 09:14:05	ga_ls8c_ard_3-0-0_089086_2015-06-04_final
2015-06-05 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-06-04_final
2015-08-09 09:57:49	ga_ls8c_ard_3-0-0_096086_2015-08-09_final
2015-08-09 09:58:13	ga_ls8c_ard_3-0-0_096087_2015-08-09_final
2015-08-11 09:45:29	ga_ls8c_ard_3-0-0_094086_2015-08-11_final
2015-08-11 09:45:53	ga_ls8c_ard_3-0-0_094087_2015-08-11_final
2015-08-13 09:33:08	ga_ls8c_ard_3-0-0_092086_2015-08-13_final
2015-08-13 09:33:32	ga_ls8c_ard_3-0-0_092087_2015-08-13_final
2015-08-15 09:20:48	ga_ls8c_ard_3-0-0_090086_2015-08-14_final
2015-08-15 09:21:12	ga_ls8c_ard_3-0-0_090087_2015-08-14_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
2015-09-10 09:58:03	ga_ls8c_ard_3-0-0_096086_2015-09-10_final
2015-09-10 09:58:27	ga_ls8c_ard_3-0-0_096087_2015-09-10_final
2015-09-12 09:45:43	ga_ls8c_ard_3-0-0_094086_2015-09-12_final
2015-09-12 09:46:07	ga_ls8c_ard_3-0-0_094087_2015-09-12_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2015-09-23 09:27:39	ga_ls8c_ard_3-0-0_091087_2015-09-22_final
2015-10-12 09:58:11	ga_ls8c_ard_3-0-0_096086_2015-10-12_final
2015-10-12 09:58:35	ga_ls8c_ard_3-0-0_096087_2015-10-12_final
2015-10-14 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-10-14_final
2015-10-14 09:46:13	ga_ls8c_ard_3-0-0_094087_2015-10-14_final
2015-10-16 09:33:27	ga_ls8c_ard_3-0-0_092086_2015-10-16_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
2015-10-21 09:52:03	ga_ls8c_ard_3-0-0_095086_2015-10-21_final
2015-10-21 09:52:27	ga_ls8c_ard_3-0-0_095087_2015-10-21_final
2015-10-23 09:39:42	ga_ls8c_ard_3-0-0_093086_2015-10-23_final
2015-10-23 09:40:06	ga_ls8c_ard_3-0-0_093087_2015-10-23_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
2015-10-28 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-10-28_final
2015-10-28 09:58:40	ga_ls8c_ard_3-0-0_096087_2015-10-28_final
2015-10-30 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-10-30_final
2015-10-30 09:46:19	ga_ls8c_ard_3-0-0_094087_2015-10-30_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2015-11-22 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-11-22_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2015-11-27 10:10:41	ga_ls8c_ard_3-0-0_098086_2015-11-27_final
2015-11-28 09:15:04	ga_ls8c_ard_3-0-0_089086_2015-11-27_final
2015-11-28 09:15:28	ga_ls8c_ard_3-0-0_089087_2015-11-27_final
2015-11-29 09:58:43	ga_ls8c_ard_3-0-0_096087_2015-11-29_final
2015-12-05 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-04_final
2015-12-05 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-04_final
2015-12-06 10:04:29	ga_ls8c_ard_3-0-0_097086_2015-12-06_final
2015-12-08 09:52:07	ga_ls8c_ard_3-0-0_095086_2015-12-08_final
2015-12-08 09:52:31	ga_ls8c_ard_3-0-0_095087_2015-12-08_final
2015-12-10 09:39:44	ga_ls8c_ard_3-0-0_093086_2015-12-10_final
2015-12-10 09:40:08	ga_ls8c_ard_3-0-0_093087_2015-12-10_final
2015-12-21 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-20_final
2015-12-21 09:21:38	ga_ls8c_ard_3-0-0_090087_2015-12-20_final
2015-12-22 10:04:30	ga_ls8c_ard_3-0-0_097086_2015-12-22_final
2018-02-22 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-02-22_final
2018-02-22 09:58:20	ga_ls8c_ard_3-0-0_096087_2018-02-22_final
2018-02-24 09:45:57	ga_ls8c_ard_3-0-0_094087_2018-02-24_final
2018-06-18 09:32:22	ga_ls8c_ard_3-0-0_092086_2018-06-18_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
2018-07-04 09:32:32	ga_ls8c_ard_3-0-0_092086_2018-07-04_final
2018-07-04 09:32:56	ga_ls8c_ard_3-0-0_092087_2018-07-04_final
2018-07-06 09:20:11	ga_ls8c_ard_3-0-0_090086_2018-07-05_final
2018-07-06 09:20:35	ga_ls8c_ard_3-1-0_090087_2018-07-05_final
2018-07-07 10:03:27	ga_ls8c_ard_3-0-0_097086_2018-07-07_final
2018-07-30 10:09:48	ga_ls8c_ard_3-0-0_098086_2018-07-30_final
2018-07-31 09:14:12	ga_ls8c_ard_3-0-0_089086_2018-07-30_final
2018-07-31 09:14:36	ga_ls8c_ard_3-0-0_089087_2018-07-30_final
2018-08-08 10:03:43	ga_ls8c_ard_3-0-0_097086_2018-08-08_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
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
2018-12-05 10:10:26	ga_ls8c_ard_3-0-0_098086_2018-12-05_final
2018-12-06 09:14:49	ga_ls8c_ard_3-0-0_089086_2018-12-05_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