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
2013-09-04 10:00:13	ga_ls8c_ard_3-0-0_096086_2013-09-04_final
2013-09-08 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-09-08_final
2013-09-13 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-09-13_final
2013-09-15 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-09-15_final
2013-09-29 09:53:52	ga_ls8c_ard_3-0-0_095086_2013-09-29_final
2013-10-19 09:29:06	ga_ls8c_ard_3-0-0_091086_2013-10-18_final
2013-10-22 09:59:58	ga_ls8c_ard_3-0-0_096086_2013-10-22_final
2013-10-24 09:47:35	ga_ls8c_ard_3-0-0_094086_2013-10-24_final
2013-10-31 09:53:43	ga_ls8c_ard_3-0-0_095086_2013-10-31_final
2013-11-02 09:41:22	ga_ls8c_ard_3-0-0_093086_2013-11-02_final
2013-11-04 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-11-03_final
2013-11-09 09:47:33	ga_ls8c_ard_3-0-0_094086_2013-11-09_final
2013-11-11 09:35:11	ga_ls8c_ard_3-0-0_092086_2013-11-11_final
2013-11-13 09:22:25	ga_ls8c_ard_3-0-0_090085_2013-11-12_final
2013-11-13 09:22:49	ga_ls8c_ard_3-0-0_090086_2013-11-12_final
2013-11-16 09:53:41	ga_ls8c_ard_3-0-0_095086_2013-11-16_final
2013-11-18 09:41:18	ga_ls8c_ard_3-0-0_093086_2013-11-18_final
2013-11-20 09:28:54	ga_ls8c_ard_3-0-0_091086_2013-11-19_final
2013-12-02 09:53:37	ga_ls8c_ard_3-0-0_095086_2013-12-02_final
2013-12-04 09:41:15	ga_ls8c_ard_3-0-0_093086_2013-12-04_final
2013-12-06 09:28:53	ga_ls8c_ard_3-0-0_091086_2013-12-05_final
2013-12-08 09:16:31	ga_ls8c_ard_3-0-0_089086_2013-12-07_final
2013-12-11 09:47:24	ga_ls8c_ard_3-0-0_094086_2013-12-11_final
2013-12-18 09:53:29	ga_ls8c_ard_3-0-0_095086_2013-12-18_final
2013-12-20 09:41:05	ga_ls8c_ard_3-0-0_093086_2013-12-20_final
2013-12-22 09:28:44	ga_ls8c_ard_3-0-0_091086_2013-12-21_final
2013-12-24 09:16:22	ga_ls8c_ard_3-0-0_089086_2013-12-23_final
2013-12-27 09:47:15	ga_ls8c_ard_3-0-0_094086_2013-12-27_final
2013-12-29 09:34:52	ga_ls8c_ard_3-0-0_092086_2013-12-29_final
2014-01-19 09:53:08	ga_ls8c_ard_3-0-0_095086_2014-01-19_final
2014-01-21 09:40:46	ga_ls8c_ard_3-0-0_093086_2014-01-21_final
2014-01-23 09:28:24	ga_ls8c_ard_3-0-0_091086_2014-01-22_final
2014-02-01 09:22:09	ga_ls8c_ard_3-0-0_090086_2014-01-31_final
2014-02-04 09:53:01	ga_ls8c_ard_3-0-0_095086_2014-02-04_final
2014-02-06 09:40:37	ga_ls8c_ard_3-0-0_093086_2014-02-06_final
2015-08-30 10:16:07	ga_ls8c_ard_3-0-0_099085_2015-08-30_final
2015-08-31 09:20:54	ga_ls8c_ard_3-0-0_090086_2015-08-30_final
2015-09-01 10:04:10	ga_ls8c_ard_3-0-0_097086_2015-09-01_final
2015-10-18 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-10-17_final
2015-10-19 10:03:59	ga_ls8c_ard_3-0-0_097085_2015-10-19_final
2015-10-19 10:04:23	ga_ls8c_ard_3-0-0_097086_2015-10-19_final
2015-10-28 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-10-28_final
2015-10-30 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-10-30_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2015-11-22 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-11-22_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2015-12-21 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-20_final
2015-12-22 10:04:30	ga_ls8c_ard_3-0-0_097086_2015-12-22_final
2019-11-22 10:10:27	ga_ls8c_ard_3-1-0_098085_2019-11-22_final
2019-11-22 10:10:51	ga_ls8c_ard_3-1-0_098086_2019-11-22_final
2019-11-23 09:14:50	ga_ls8c_ard_3-1-0_089085_2019-11-22_final
2019-11-23 09:15:14	ga_ls8c_ard_3-1-0_089086_2019-11-22_final
2019-12-12 09:46:07	ga_ls8c_ard_3-1-0_094086_2019-12-12_final
2019-12-14 09:33:45	ga_ls8c_ard_3-2-0_092086_2019-12-14_final
2019-12-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2019-12-15_final
2019-12-17 10:04:38	ga_ls8c_ard_3-2-0_097086_2019-12-17_final
2019-12-19 09:52:16	ga_ls8c_ard_3-2-0_095086_2019-12-19_final
2019-12-23 09:27:32	ga_ls8c_ard_3-1-0_091086_2019-12-22_final
2019-12-24 10:10:24	ga_ls8c_ard_3-1-0_098085_2019-12-24_final
2019-12-24 10:10:48	ga_ls8c_ard_3-1-0_098086_2019-12-24_final
2019-12-25 09:15:10	ga_ls8c_ard_3-1-0_089086_2019-12-24_final
2020-11-16 09:21:23	ga_ls8c_ard_3-1-0_090086_2020-11-15_final
2020-11-17 10:04:39	ga_ls8c_ard_3-1-0_097086_2020-11-17_final
2020-12-16 09:33:48	ga_ls8c_ard_3-1-0_092086_2020-12-16_final
2020-12-18 09:21:26	ga_ls8c_ard_3-2-0_090086_2020-12-17_final
2020-12-23 09:39:57	ga_ls8c_ard_3-2-0_093086_2020-12-23_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_final
2021-01-08 09:39:52	ga_ls8c_ard_3-2-0_093086_2021-01-08_final
2021-01-15 09:45:59	ga_ls8c_ard_3-2-0_094086_2021-01-15_final
2021-01-19 09:21:14	ga_ls8c_ard_3-2-0_090086_2021-01-18_final
2021-01-20 10:04:30	ga_ls8c_ard_3-2-0_097086_2021-01-20_final
2021-01-22 09:52:08	ga_ls8c_ard_3-2-0_095086_2021-01-22_final
2021-01-24 09:39:46	ga_ls8c_ard_3-2-0_093086_2021-01-24_final
2021-01-25 10:22:38	ga_ls8c_ard_3-2-0_100085_2021-01-25_final
2021-01-26 09:27:25	ga_ls8c_ard_3-2-0_091086_2021-01-25_final
2021-01-27 10:10:40	ga_ls8c_ard_3-2-0_098086_2021-01-27_final
2021-01-28 09:15:03	ga_ls8c_ard_3-2-0_089086_2021-01-27_final
2021-01-29 09:58:18	ga_ls8c_ard_3-2-0_096086_2021-01-29_final
2021-02-04 09:21:13	ga_ls8c_ard_3-2-0_090086_2021-02-03_final
2021-02-05 10:04:28	ga_ls8c_ard_3-2-0_097086_2021-02-05_final
2021-02-27 09:27:16	ga_ls8c_ard_3-2-0_091086_2021-02-26_final
2021-02-28 10:10:31	ga_ls8c_ard_3-2-0_098086_2021-02-28_final
2021-03-01 09:14:54	ga_ls8c_ard_3-2-0_089086_2021-02-28_final
2021-04-03 09:57:56	ga_ls8c_ard_3-2-0_096086_2021-04-03_final
2021-04-05 09:45:34	ga_ls8c_ard_3-2-0_094086_2021-04-05_final
2021-04-07 09:33:12	ga_ls8c_ard_3-2-0_092086_2021-04-07_final
2021-04-09 09:20:49	ga_ls8c_ard_3-2-0_090086_2021-04-08_final
2021-04-10 10:04:05	ga_ls8c_ard_3-2-0_097086_2021-04-10_final
2021-04-16 09:26:57	ga_ls8c_ard_3-2-0_091086_2021-04-15_final
2021-04-18 09:14:35	ga_ls8c_ard_3-2-0_089086_2021-04-17_final
2021-04-19 09:57:50	ga_ls8c_ard_3-2-0_096086_2021-04-19_final
2021-04-21 09:45:27	ga_ls8c_ard_3-2-0_094086_2021-04-21_final
2021-04-23 09:33:04	ga_ls8c_ard_3-2-0_092086_2021-04-23_final
2021-05-14 09:51:34	ga_ls8c_ard_3-2-0_095086_2021-05-14_final
2021-05-14 11:30:03	ga_ls8c_ard_3-2-0_111085_2021-05-14_final
2021-05-28 10:04:04	ga_ls8c_ard_3-2-0_097086_2021-05-28_final
2021-05-30 09:51:43	ga_ls8c_ard_3-2-0_095086_2021-05-30_final
2021-05-30 11:30:12	ga_ls8c_ard_3-2-0_111085_2021-05-30_final
2021-06-01 09:39:22	ga_ls8c_ard_3-2-0_093086_2021-06-01_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