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
2015-12-03 09:33:36	ga_ls8c_ard_3-0-0_092086_2015-12-03_final
2015-12-03 11:12:05	ga_ls8c_ard_3-0-0_108085_2015-12-03_final
2015-12-05 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-04_final
2015-12-05 09:21:14	ga_ls8c_ard_3-0-0_090086_2015-12-04_final
2015-12-10 09:39:21	ga_ls8c_ard_3-0-0_093085_2015-12-10_final
2015-12-10 09:39:44	ga_ls8c_ard_3-0-0_093086_2015-12-10_final
2015-12-10 11:18:14	ga_ls8c_ard_3-0-0_109085_2015-12-10_final
2015-12-11 10:22:36	ga_ls8c_ard_3-0-0_100085_2015-12-11_final
2015-12-12 09:27:23	ga_ls8c_ard_3-0-0_091086_2015-12-11_final
2015-12-12 11:05:52	ga_ls8c_ard_3-0-0_107085_2015-12-12_final
2015-12-24 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-12-24_final
2015-12-24 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-12-24_final
2016-01-11 09:39:18	ga_ls8c_ard_3-0-0_093085_2016-01-11_final
2016-01-11 09:39:42	ga_ls8c_ard_3-0-0_093086_2016-01-11_final
2016-01-12 10:22:34	ga_ls8c_ard_3-0-0_100085_2016-01-12_final
2016-01-13 09:27:21	ga_ls8c_ard_3-0-0_091086_2016-01-12_final
2016-01-13 11:05:50	ga_ls8c_ard_3-0-0_107085_2016-01-13_final
2016-01-20 09:33:32	ga_ls8c_ard_3-0-0_092086_2016-01-20_final
2016-01-20 11:12:01	ga_ls8c_ard_3-0-0_108085_2016-01-20_final
2016-01-21 10:16:24	ga_ls8c_ard_3-0-0_099085_2016-01-21_final
2016-01-22 09:20:47	ga_ls8c_ard_3-0-0_090085_2016-01-21_final
2016-01-22 09:21:10	ga_ls8c_ard_3-0-0_090086_2016-01-21_final
2016-01-27 09:39:18	ga_ls8c_ard_3-0-0_093085_2016-01-27_final
2016-01-29 09:26:56	ga_ls8c_ard_3-0-0_091085_2016-01-28_final
2016-01-29 09:27:20	ga_ls8c_ard_3-0-0_091086_2016-01-28_final
2016-04-18 09:26:50	ga_ls8c_ard_3-0-0_091086_2016-04-17_final
2016-05-02 09:39:15	ga_ls8c_ard_3-0-0_093086_2016-05-02_final
2016-05-02 11:17:44	ga_ls8c_ard_3-0-0_109085_2016-05-02_final
2016-05-03 10:22:08	ga_ls8c_ard_3-0-0_100085_2016-05-03_final
2016-05-04 09:26:30	ga_ls8c_ard_3-0-0_091085_2016-05-03_final
2016-05-04 09:26:54	ga_ls8c_ard_3-0-0_091086_2016-05-03_final
2016-05-04 11:05:23	ga_ls8c_ard_3-0-0_107085_2016-05-04_final
2016-05-07 09:57:22	ga_ls8c_ard_3-0-0_096085_2016-05-07_final
2016-05-07 09:57:46	ga_ls8c_ard_3-0-0_096086_2016-05-07_final
2016-05-07 11:36:15	ga_ls8c_ard_3-0-0_112085_2016-05-07_final
2016-05-11 09:32:36	ga_ls8c_ard_3-0-0_092085_2016-05-11_final
2016-05-11 09:33:00	ga_ls8c_ard_3-0-0_092086_2016-05-11_final
2016-05-11 11:11:29	ga_ls8c_ard_3-0-0_108085_2016-05-11_final
2016-05-12 10:15:51	ga_ls8c_ard_3-0-0_099085_2016-05-12_final
2016-05-13 09:20:13	ga_ls8c_ard_3-0-0_090085_2016-05-12_final
2016-05-13 09:20:37	ga_ls8c_ard_3-0-0_090086_2016-05-12_final
2017-10-03 09:45:39	ga_ls8c_ard_3-0-0_094085_2017-10-03_final
2017-10-03 09:46:03	ga_ls8c_ard_3-0-0_094086_2017-10-03_final
2017-10-03 11:24:32	ga_ls8c_ard_3-0-0_110085_2017-10-03_final
2017-10-05 09:33:42	ga_ls8c_ard_3-0-0_092086_2017-10-05_final
2017-10-05 11:12:11	ga_ls8c_ard_3-0-0_108085_2017-10-05_final
2017-10-08 10:04:13	ga_ls8c_ard_3-0-0_097085_2017-10-08_final
2017-10-08 10:04:37	ga_ls8c_ard_3-0-0_097086_2017-10-08_final
2017-10-10 09:52:16	ga_ls8c_ard_3-0-0_095086_2017-10-10_final
2017-10-10 11:30:45	ga_ls8c_ard_3-0-0_111085_2017-10-10_final
2017-11-23 10:16:31	ga_ls8c_ard_3-0-0_099085_2017-11-23_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 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-11-25_final
2017-11-25 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-11-25_final
2017-12-26 09:21:16	ga_ls8c_ard_3-0-0_090086_2017-12-25_final
2017-12-27 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-12-27_final
2017-12-27 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-12-27_final
2018-02-19 09:27:03	ga_ls8c_ard_3-0-0_091086_2018-02-18_final
2018-02-20 10:10:18	ga_ls8c_ard_3-0-0_098086_2018-02-20_final
2018-02-21 09:14:41	ga_ls8c_ard_3-0-0_089086_2018-02-20_final
2018-02-22 09:57:32	ga_ls8c_ard_3-0-0_096085_2018-02-22_final
2018-02-22 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-02-22_final
2018-04-20 09:51:15	ga_ls8c_ard_3-0-0_095086_2018-04-20_final
2018-06-03 10:15:06	ga_ls8c_ard_3-0-0_099085_2018-06-03_final
2018-06-04 09:19:28	ga_ls8c_ard_3-0-0_090085_2018-06-03_final
2018-06-04 09:19:52	ga_ls8c_ard_3-0-0_090086_2018-06-03_final
2018-06-05 10:02:44	ga_ls8c_ard_3-0-0_097085_2018-06-05_final
2018-06-05 10:03:08	ga_ls8c_ard_3-0-0_097086_2018-06-05_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 10:02:54	ga_ls8c_ard_3-0-0_097085_2018-06-21_final
2018-06-21 10:03:18	ga_ls8c_ard_3-0-0_097086_2018-06-21_final
2020-01-04 09:52:12	ga_ls8c_ard_3-1-0_095086_2020-01-04_final
2020-01-04 11:30:41	ga_ls8c_ard_3-1-0_111085_2020-01-04_final
2020-01-13 09:45:36	ga_ls8c_ard_3-1-0_094085_2020-01-13_final
2020-01-13 09:46:00	ga_ls8c_ard_3-1-0_094086_2020-01-13_final
2020-02-05 09:51:39	ga_ls8c_ard_3-1-0_095085_2020-02-05_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
2020-02-17 10:16:20	ga_ls8c_ard_3-1-0_099085_2020-02-17_final
2020-02-18 09:21:07	ga_ls8c_ard_3-1-0_090086_2020-02-17_final
2020-03-05 09:20:37	ga_ls8c_ard_3-1-0_090085_2020-03-04_final
2020-03-05 09:21:01	ga_ls8c_ard_3-1-0_090086_2020-03-04_final
2020-03-10 09:39:08	ga_ls8c_ard_3-1-0_093085_2020-03-10_final
2020-03-10 09:39:32	ga_ls8c_ard_3-1-0_093086_2020-03-10_final
2020-03-10 11:18:01	ga_ls8c_ard_3-1-0_109085_2020-03-10_final
2020-03-11 10:22:23	ga_ls8c_ard_3-1-0_100085_2020-03-11_final
2020-03-12 09:27:09	ga_ls8c_ard_3-1-0_091086_2020-03-11_final
2020-03-12 11:05:38	ga_ls8c_ard_3-1-0_107085_2020-03-12_final
2020-03-13 10:10:24	ga_ls8c_ard_3-1-0_098086_2020-03-13_final
2020-04-25 09:51:31	ga_ls8c_ard_3-1-0_095086_2020-04-25_final
2020-05-08 09:20:05	ga_ls8c_ard_3-1-0_090085_2020-05-07_final
2020-05-08 09:20:29	ga_ls8c_ard_3-1-0_090086_2020-05-07_final
2020-05-20 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-20_final
2020-05-20 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-20_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