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
2014-06-30 09:38:59	ga_ls8c_ard_3-0-0_093085_2014-06-30_final
2014-06-30 09:39:23	ga_ls8c_ard_3-0-0_093086_2014-06-30_final
2014-07-02 09:26:39	ga_ls8c_ard_3-0-0_091085_2014-07-01_final
2014-07-02 09:27:03	ga_ls8c_ard_3-0-0_091086_2014-07-01_final
2014-07-04 09:14:19	ga_ls8c_ard_3-0-0_089085_2014-07-03_final
2014-07-04 09:14:43	ga_ls8c_ard_3-0-0_089086_2014-07-03_final
2014-07-05 09:57:35	ga_ls8c_ard_3-0-0_096085_2014-07-05_final
2014-07-05 09:57:59	ga_ls8c_ard_3-0-0_096086_2014-07-05_final
2014-07-20 09:14:23	ga_ls8c_ard_3-0-0_089085_2014-07-19_final
2014-07-20 09:14:47	ga_ls8c_ard_3-0-0_089086_2014-07-19_final
2014-07-21 09:57:39	ga_ls8c_ard_3-0-0_096085_2014-07-21_final
2014-07-21 09:58:03	ga_ls8c_ard_3-0-0_096086_2014-07-21_final
2014-08-10 09:33:29	ga_ls8c_ard_3-0-0_092086_2014-08-10_final
2014-08-12 09:20:44	ga_ls8c_ard_3-0-0_090085_2014-08-11_final
2014-08-12 09:21:08	ga_ls8c_ard_3-0-0_090086_2014-08-11_final
2014-08-26 09:33:32	ga_ls8c_ard_3-0-0_092086_2014-08-26_final
2014-08-28 09:21:10	ga_ls8c_ard_3-0-0_090086_2014-08-27_final
2014-09-11 09:33:36	ga_ls8c_ard_3-0-0_092086_2014-09-11_final
2014-09-13 09:20:50	ga_ls8c_ard_3-0-0_090085_2014-09-12_final
2014-09-13 09:21:14	ga_ls8c_ard_3-0-0_090086_2014-09-12_final
2014-09-27 09:33:33	ga_ls8c_ard_3-0-0_092086_2014-09-27_final
2014-09-29 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-09-28_final
2014-11-21 09:39:23	ga_ls8c_ard_3-0-0_093085_2014-11-21_final
2014-11-21 09:39:47	ga_ls8c_ard_3-0-0_093086_2014-11-21_final
2014-12-07 09:39:22	ga_ls8c_ard_3-0-0_093085_2014-12-07_final
2014-12-07 09:39:46	ga_ls8c_ard_3-0-0_093086_2014-12-07_final
2014-12-09 09:27:23	ga_ls8c_ard_3-0-0_091086_2014-12-08_final
2014-12-11 09:15:00	ga_ls8c_ard_3-0-0_089086_2014-12-10_final
2014-12-12 09:57:50	ga_ls8c_ard_3-0-0_096085_2014-12-12_final
2014-12-12 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-12_final
2015-01-01 09:33:28	ga_ls8c_ard_3-0-0_092086_2015-01-01_final
2015-01-03 09:20:43	ga_ls8c_ard_3-0-0_090085_2015-01-02_final
2015-01-03 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-01-02_final
2016-02-21 09:33:20	ga_ls8c_ard_3-0-0_092086_2016-02-21_final
2017-09-01 09:45:55	ga_ls8c_ard_3-0-0_094086_2017-09-01_final
2017-09-01 11:24:24	ga_ls8c_ard_3-0-0_110085_2017-09-01_final
2017-09-03 09:33:33	ga_ls8c_ard_3-0-0_092086_2017-09-03_final
2017-09-03 11:12:03	ga_ls8c_ard_3-0-0_108085_2017-09-03_final
2017-09-10 09:39:20	ga_ls8c_ard_3-0-0_093085_2017-09-10_final
2017-09-10 09:39:44	ga_ls8c_ard_3-0-0_093086_2017-09-10_final
2017-09-10 11:18:13	ga_ls8c_ard_3-0-0_109085_2017-09-10_final
2017-09-11 10:22:36	ga_ls8c_ard_3-0-0_100085_2017-09-11_final
2017-09-12 09:26:59	ga_ls8c_ard_3-0-0_091085_2017-09-11_final
2017-09-12 09:27:23	ga_ls8c_ard_3-0-0_091086_2017-09-11_final
2017-09-12 11:05:52	ga_ls8c_ard_3-0-0_107085_2017-09-12_final
2017-09-22 10:04:07	ga_ls8c_ard_3-0-0_097085_2017-09-22_final
2017-09-22 10:04:31	ga_ls8c_ard_3-0-0_097086_2017-09-22_final
2017-09-24 09:51:47	ga_ls8c_ard_3-0-0_095085_2017-09-24_final
2017-09-24 09:52:11	ga_ls8c_ard_3-0-0_095086_2017-09-24_final
2017-09-26 09:39:26	ga_ls8c_ard_3-0-0_093085_2017-09-26_final
2017-09-26 09:39:50	ga_ls8c_ard_3-0-0_093086_2017-09-26_final
2017-09-26 11:18:19	ga_ls8c_ard_3-0-0_109085_2017-09-26_final
2017-09-27 10:22:42	ga_ls8c_ard_3-0-0_100085_2017-09-27_final
2017-09-28 09:27:29	ga_ls8c_ard_3-0-0_091086_2017-09-27_final
2017-09-28 11:05:58	ga_ls8c_ard_3-0-0_107085_2017-09-28_final
2017-10-14 09:27:10	ga_ls8c_ard_3-0-0_091085_2017-10-13_final
2017-10-14 09:27:33	ga_ls8c_ard_3-0-0_091086_2017-10-13_final
2017-10-14 11:06:03	ga_ls8c_ard_3-0-0_107085_2017-10-14_final
2017-10-15 10:10:25	ga_ls8c_ard_3-0-0_098085_2017-10-15_final
2017-10-15 10:10:49	ga_ls8c_ard_3-0-0_098086_2017-10-15_final
2017-10-16 09:15:12	ga_ls8c_ard_3-0-0_089086_2017-10-15_final
2017-10-17 09:58:04	ga_ls8c_ard_3-0-0_096085_2017-10-17_final
2017-10-17 09:58:28	ga_ls8c_ard_3-0-0_096086_2017-10-17_final
2017-10-17 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-10-17_final
2017-10-28 09:39:56	ga_ls8c_ard_3-0-0_093086_2017-10-28_final
2017-10-30 09:27:10	ga_ls8c_ard_3-0-0_091085_2017-10-29_final
2017-10-30 09:27:34	ga_ls8c_ard_3-0-0_091086_2017-10-29_final
2017-10-30 11:06:03	ga_ls8c_ard_3-0-0_107085_2017-10-30_final
2017-11-24 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-11-23_final
2017-11-24 09:21:17	ga_ls8c_ard_3-0-0_090086_2017-11-23_final
2017-11-25 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-11-25_final
2017-12-02 10:10:17	ga_ls8c_ard_3-0-0_098085_2017-12-02_final
2017-12-02 10:10:41	ga_ls8c_ard_3-0-0_098086_2017-12-02_final
2017-12-03 09:14:39	ga_ls8c_ard_3-0-0_089085_2017-12-02_final
2017-12-03 09:15:03	ga_ls8c_ard_3-0-0_089086_2017-12-02_final
2017-12-04 09:57:55	ga_ls8c_ard_3-0-0_096085_2017-12-04_final
2017-12-04 09:58:19	ga_ls8c_ard_3-0-0_096086_2017-12-04_final
2017-12-06 09:45:57	ga_ls8c_ard_3-0-0_094086_2017-12-06_final
2017-12-08 09:33:36	ga_ls8c_ard_3-0-0_092086_2017-12-08_final
2017-12-31 09:39:23	ga_ls8c_ard_3-0-0_093085_2017-12-31_final
2017-12-31 09:39:47	ga_ls8c_ard_3-0-0_093086_2017-12-31_final
2017-12-31 11:18:16	ga_ls8c_ard_3-0-0_109085_2017-12-31_final
2018-01-02 09:27:25	ga_ls8c_ard_3-0-0_091086_2018-01-01_final
2018-01-02 11:05:54	ga_ls8c_ard_3-0-0_107085_2018-01-02_final
2018-01-25 09:33:24	ga_ls8c_ard_3-0-0_092086_2018-01-25_final
2018-02-01 09:39:31	ga_ls8c_ard_3-0-0_093086_2018-02-01_final
2018-02-03 09:27:08	ga_ls8c_ard_3-0-0_091086_2018-02-02_final
2018-05-19 09:20:03	ga_ls8c_ard_3-0-0_090086_2018-05-18_final
2018-05-20 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-05-20_final
2018-06-07 09:50:23	ga_ls8c_ard_3-0-0_095085_2018-06-07_final
2018-06-07 09:50:47	ga_ls8c_ard_3-0-0_095086_2018-06-07_final
2018-06-07 11:29:16	ga_ls8c_ard_3-0-0_111085_2018-06-07_final
2018-06-19 10:15:15	ga_ls8c_ard_3-0-0_099085_2018-06-19_final
2018-06-20 09:19:38	ga_ls8c_ard_3-0-0_090085_2018-06-19_final
2018-06-20 09:20:02	ga_ls8c_ard_3-0-0_090086_2018-06-19_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2020-02-05 09:52:03	ga_ls8c_ard_3-1-0_095086_2020-02-05_final
2020-02-05 11:30:32	ga_ls8c_ard_3-1-0_111085_2020-02-05_final
2020-02-18 09:21:07	ga_ls8c_ard_3-1-0_090086_2020-02-17_final
2020-03-05 09:21:01	ga_ls8c_ard_3-1-0_090086_2020-03-04_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