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
2015-04-23 09:32:48	ga_ls8c_ard_3-0-0_092086_2015-04-23_final
2015-04-25 09:20:25	ga_ls8c_ard_3-0-0_090086_2015-04-24_final
2015-04-28 09:51:16	ga_ls8c_ard_3-0-0_095086_2015-04-28_final
2015-04-30 09:38:53	ga_ls8c_ard_3-0-0_093086_2015-04-30_final
2015-05-05 09:57:20	ga_ls8c_ard_3-0-0_096086_2015-05-05_final
2015-05-07 09:44:55	ga_ls8c_ard_3-1-0_094086_2015-05-07_final
2015-05-09 09:32:32	ga_ls8c_ard_3-0-0_092086_2015-05-09_final
2015-05-14 09:51:00	ga_ls8c_ard_3-0-0_095086_2015-05-14_final
2015-05-16 09:38:39	ga_ls8c_ard_3-0-0_093086_2015-05-16_final
2015-05-25 11:11:00	ga_ls8c_ard_3-0-0_108085_2015-05-25_final
2015-05-27 09:20:10	ga_ls8c_ard_3-0-0_090086_2015-05-26_final
2015-05-28 10:03:25	ga_ls8c_ard_3-0-0_097086_2015-05-28_final
2015-05-30 09:51:04	ga_ls8c_ard_3-0-0_095086_2015-05-30_final
2015-06-01 09:38:45	ga_ls8c_ard_3-0-0_093086_2015-06-01_final
2015-06-01 11:17:14	ga_ls8c_ard_3-0-0_109085_2015-06-01_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
2015-06-06 09:57:22	ga_ls8c_ard_3-0-0_096086_2015-06-06_final
2015-06-08 09:45:02	ga_ls8c_ard_3-0-0_094086_2015-06-08_final
2015-06-15 09:51:17	ga_ls8c_ard_3-0-0_095086_2015-06-15_final
2015-06-17 09:38:56	ga_ls8c_ard_3-0-0_093086_2015-06-17_final
2015-06-17 11:17:25	ga_ls8c_ard_3-0-0_109085_2015-06-17_final
2015-06-24 09:45:08	ga_ls8c_ard_3-0-0_094086_2015-06-24_final
2015-06-26 09:32:46	ga_ls8c_ard_3-0-0_092086_2015-06-26_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
2015-07-03 09:39:03	ga_ls8c_ard_3-0-0_093086_2015-07-03_final
2015-07-05 09:26:43	ga_ls8c_ard_3-0-0_091086_2015-07-04_final
2015-07-06 10:09:59	ga_ls8c_ard_3-0-0_098086_2015-07-06_final
2015-07-07 09:14:23	ga_ls8c_ard_3-0-0_089086_2015-07-06_final
2015-07-08 09:57:39	ga_ls8c_ard_3-0-0_096086_2015-07-08_final
2015-07-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2015-07-10_final
2015-07-12 09:32:58	ga_ls8c_ard_3-0-0_092086_2015-07-12_final
2015-07-14 09:20:38	ga_ls8c_ard_3-0-0_090086_2015-07-13_final
2015-07-15 10:03:54	ga_ls8c_ard_3-0-0_097086_2015-07-15_final
2015-07-17 09:51:33	ga_ls8c_ard_3-0-0_095086_2015-07-17_final
2015-07-17 11:30:02	ga_ls8c_ard_3-0-0_111085_2015-07-17_final
2015-07-19 09:39:12	ga_ls8c_ard_3-0-0_093086_2015-07-19_final
2015-07-22 10:10:07	ga_ls8c_ard_3-0-0_098086_2015-07-22_final
2015-07-23 09:14:30	ga_ls8c_ard_3-0-0_089086_2015-07-22_final
2015-07-26 09:45:25	ga_ls8c_ard_3-0-0_094086_2015-07-26_final
2015-08-02 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-08-02_final
2015-08-04 09:39:15	ga_ls8c_ard_3-0-0_093086_2015-08-04_final
2015-08-11 09:45:29	ga_ls8c_ard_3-0-0_094086_2015-08-11_final
2015-08-13 09:33:08	ga_ls8c_ard_3-0-0_092086_2015-08-13_final
2015-08-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2015-08-18_final
2015-08-20 09:39:23	ga_ls8c_ard_3-0-0_093086_2015-08-20_final
2016-12-07 09:21:24	ga_ls8c_ard_3-0-0_090086_2016-12-06_final
2016-12-08 10:04:40	ga_ls8c_ard_3-0-0_097086_2016-12-08_final
2016-12-21 09:33:41	ga_ls8c_ard_3-0-0_092086_2016-12-21_final
2016-12-23 09:21:20	ga_ls8c_ard_3-0-0_090086_2016-12-22_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
2017-01-02 09:58:23	ga_ls8c_ard_3-0-0_096086_2017-01-02_final
2017-01-09 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-01-09_final
2017-01-24 09:21:12	ga_ls8c_ard_3-0-0_090086_2017-01-23_final
2017-01-25 10:04:27	ga_ls8c_ard_3-0-0_097086_2017-01-25_final
2017-02-09 09:21:03	ga_ls8c_ard_3-0-0_090086_2017-02-08_final
2018-09-11 09:51:36	ga_ls8c_ard_3-0-0_095086_2018-09-11_final
2018-09-13 09:39:15	ga_ls8c_ard_3-0-0_093086_2018-09-13_final
2018-09-15 09:26:53	ga_ls8c_ard_3-0-0_091086_2018-09-14_final
2018-10-01 09:27:00	ga_ls8c_ard_3-0-0_091086_2018-09-30_final
2018-10-08 09:33:14	ga_ls8c_ard_3-0-0_092086_2018-10-08_final
2018-10-10 09:20:54	ga_ls8c_ard_3-0-0_090086_2018-10-09_final
2018-10-11 10:04:10	ga_ls8c_ard_3-0-0_097086_2018-10-11_final
2018-10-13 09:51:49	ga_ls8c_ard_3-0-0_095086_2018-10-13_final
2018-10-15 09:39:28	ga_ls8c_ard_3-0-0_093086_2018-10-15_final
2018-11-02 09:27:11	ga_ls8c_ard_3-0-0_091086_2018-11-01_final
2018-11-03 10:10:27	ga_ls8c_ard_3-0-0_098086_2018-11-03_final
2018-11-04 09:14:50	ga_ls8c_ard_3-0-0_089086_2018-11-03_final
2018-11-09 09:33:23	ga_ls8c_ard_3-0-0_092086_2018-11-09_final
2018-11-11 09:21:01	ga_ls8c_ard_3-0-0_090086_2018-11-10_final
2018-11-12 10:04:17	ga_ls8c_ard_3-0-0_097086_2018-11-12_final
2018-11-14 09:51:56	ga_ls8c_ard_3-0-0_095086_2018-11-14_final
2018-11-16 09:39:34	ga_ls8c_ard_3-0-0_093086_2018-11-16_final
2018-11-18 09:27:12	ga_ls8c_ard_3-0-0_091086_2018-11-17_final
2018-11-19 10:10:28	ga_ls8c_ard_3-0-0_098086_2018-11-19_final
2018-11-20 09:14:27	ga_ls8c_ard_3-0-0_089085_2018-11-19_final
2018-11-20 09:14:51	ga_ls8c_ard_3-0-0_089086_2018-11-19_final
2018-12-04 09:27:11	ga_ls8c_ard_3-1-0_091086_2018-12-03_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
2018-12-14 10:04:13	ga_ls8c_ard_3-0-0_097086_2018-12-14_final
2018-12-20 09:27:09	ga_ls8c_ard_3-0-0_091086_2018-12-19_final
2019-01-01 09:51:52	ga_ls8c_ard_3-0-0_095086_2019-01-01_final
2019-01-03 09:39:30	ga_ls8c_ard_3-0-0_093086_2019-01-03_final
2019-01-05 09:27:08	ga_ls8c_ard_3-0-0_091086_2019-01-04_final
2019-01-12 09:33:18	ga_ls8c_ard_3-0-0_092086_2019-01-12_final
2019-01-14 09:20:56	ga_ls8c_ard_3-0-0_090086_2019-01-13_final
2019-01-15 10:04:11	ga_ls8c_ard_3-0-0_097086_2019-01-15_final
2019-01-17 09:51:49	ga_ls8c_ard_3-0-0_095086_2019-01-17_final
2019-01-19 09:39:27	ga_ls8c_ard_3-0-0_093086_2019-01-19_final
2019-01-21 09:27:05	ga_ls8c_ard_3-0-0_091086_2019-01-20_final
2019-01-30 09:20:52	ga_ls8c_ard_3-0-0_090086_2019-01-29_final
2019-01-31 10:04:07	ga_ls8c_ard_3-0-0_097086_2019-01-31_final
2019-03-13 09:57:47	ga_ls8c_ard_3-1-0_096086_2019-03-13_final
2019-04-27 09:26:40	ga_ls8c_ard_3-0-0_091086_2019-04-26_final
2019-04-28 10:09:56	ga_ls8c_ard_3-0-0_098086_2019-04-28_final
2019-04-29 09:14:19	ga_ls8c_ard_3-0-0_089086_2019-04-28_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