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
2015-01-04 10:03:59	ga_ls8c_ard_3-0-0_097085_2015-01-04_final
2015-01-06 09:51:38	ga_ls8c_ard_3-0-0_095085_2015-01-06_final
2015-02-12 10:09:58	ga_ls8c_ard_3-0-0_098085_2015-02-12_final
2015-02-13 09:14:20	ga_ls8c_ard_3-0-0_089085_2015-02-12_final
2015-02-14 09:57:34	ga_ls8c_ard_3-0-0_096085_2015-02-14_final
2015-02-21 10:03:46	ga_ls8c_ard_3-0-0_097085_2015-02-21_final
2015-02-23 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-02-23_final
2015-02-23 11:30:17	ga_ls8c_ard_3-0-0_111085_2015-02-23_final
2015-03-09 10:03:37	ga_ls8c_ard_3-0-0_097085_2015-03-09_final
2015-03-11 09:51:14	ga_ls8c_ard_3-0-0_095085_2015-03-11_final
2015-03-11 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-03-11_final
2015-03-25 10:03:29	ga_ls8c_ard_3-0-0_097085_2015-03-25_final
2015-03-27 09:51:05	ga_ls8c_ard_3-0-0_095085_2015-03-27_final
2015-03-27 11:29:58	ga_ls8c_ard_3-0-0_111085_2015-03-27_final
2015-04-17 10:09:31	ga_ls8c_ard_3-0-0_098085_2015-04-17_final
2015-04-18 09:13:53	ga_ls8c_ard_3-0-0_089085_2015-04-17_final
2015-04-19 09:57:09	ga_ls8c_ard_3-0-0_096085_2015-04-19_final
2015-04-19 11:36:02	ga_ls8c_ard_3-0-0_112085_2015-04-19_final
2015-04-23 09:32:24	ga_ls8c_ard_3-0-0_092085_2015-04-23_final
2015-05-09 09:32:08	ga_ls8c_ard_3-0-0_092085_2015-05-09_final
2015-05-10 10:15:23	ga_ls8c_ard_3-0-0_099085_2015-05-10_final
2015-05-11 09:19:45	ga_ls8c_ard_3-0-0_090085_2015-05-10_final
2015-05-19 10:09:10	ga_ls8c_ard_3-0-0_098085_2015-05-19_final
2015-05-19 10:09:34	ga_ls8c_ard_3-0-0_098086_2015-05-19_final
2015-05-20 09:13:33	ga_ls8c_ard_3-0-0_089085_2015-05-19_final
2015-05-21 09:56:49	ga_ls8c_ard_3-0-0_096085_2015-05-21_final
2015-05-21 11:35:42	ga_ls8c_ard_3-0-0_112085_2015-05-21_final
2015-05-25 09:32:07	ga_ls8c_ard_3-0-0_092085_2015-05-25_final
2015-05-25 09:32:31	ga_ls8c_ard_3-0-0_092086_2015-05-25_final
2015-05-25 11:11:00	ga_ls8c_ard_3-0-0_108085_2015-05-25_final
2015-06-04 10:09:18	ga_ls8c_ard_3-0-0_098085_2015-06-04_final
2015-06-05 09:13:41	ga_ls8c_ard_3-0-0_089085_2015-06-04_final
2015-06-05 09:14:05	ga_ls8c_ard_3-0-0_089086_2015-06-04_final
2015-06-06 09:56:58	ga_ls8c_ard_3-0-0_096085_2015-06-06_final
2015-06-06 09:57:22	ga_ls8c_ard_3-0-0_096086_2015-06-06_final
2015-06-06 11:35:51	ga_ls8c_ard_3-0-0_112085_2015-06-06_final
2016-10-18 09:33:23	ga_ls8c_ard_3-0-0_092085_2016-10-18_final
2016-10-18 11:12:16	ga_ls8c_ard_3-0-0_108085_2016-10-18_final
2016-10-19 10:16:39	ga_ls8c_ard_3-0-0_099085_2016-10-19_final
2016-10-20 09:21:02	ga_ls8c_ard_3-0-0_090085_2016-10-19_final
2016-10-28 10:10:29	ga_ls8c_ard_3-0-0_098085_2016-10-28_final
2016-10-29 09:14:52	ga_ls8c_ard_3-0-0_089085_2016-10-28_final
2016-10-30 09:58:07	ga_ls8c_ard_3-0-0_096085_2016-10-30_final
2016-10-30 11:37:00	ga_ls8c_ard_3-0-0_112085_2016-10-30_final
2016-11-20 10:16:39	ga_ls8c_ard_3-0-0_099085_2016-11-20_final
2016-11-21 09:21:02	ga_ls8c_ard_3-0-0_090085_2016-11-20_final
2016-11-22 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-11-22_final
2016-11-29 10:10:28	ga_ls8c_ard_3-0-0_098085_2016-11-29_final
2016-11-30 09:14:51	ga_ls8c_ard_3-0-0_089085_2016-11-29_final
2016-12-01 09:58:06	ga_ls8c_ard_3-0-0_096085_2016-12-01_final
2016-12-01 11:36:59	ga_ls8c_ard_3-0-0_112085_2016-12-01_final
2016-12-08 10:04:16	ga_ls8c_ard_3-0-0_097085_2016-12-08_final
2016-12-10 09:51:53	ga_ls8c_ard_3-0-0_095085_2016-12-10_final
2016-12-10 11:30:46	ga_ls8c_ard_3-0-0_111085_2016-12-10_final
2017-01-20 09:45:33	ga_ls8c_ard_3-0-0_094085_2017-01-20_final
2017-01-20 11:24:26	ga_ls8c_ard_3-0-0_110085_2017-01-20_final
2017-01-22 09:33:10	ga_ls8c_ard_3-0-0_092085_2017-01-22_final
2017-01-22 11:12:03	ga_ls8c_ard_3-0-0_108085_2017-01-22_final
2017-02-01 10:10:10	ga_ls8c_ard_3-0-0_098085_2017-02-01_final
2017-02-02 09:14:33	ga_ls8c_ard_3-0-0_089085_2017-02-01_final
2017-02-03 09:57:48	ga_ls8c_ard_3-0-0_096085_2017-02-03_final
2017-02-03 11:36:41	ga_ls8c_ard_3-0-0_112085_2017-02-03_final
2017-03-05 10:09:57	ga_ls8c_ard_3-0-0_098085_2017-03-05_final
2017-03-06 09:14:19	ga_ls8c_ard_3-0-0_089085_2017-03-05_final
2017-03-07 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-03-07_final
2017-03-07 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-03-07_final
2017-03-09 09:45:12	ga_ls8c_ard_3-0-0_094085_2017-03-09_final
2017-03-09 11:24:05	ga_ls8c_ard_3-0-0_110085_2017-03-09_final
2017-03-11 09:32:49	ga_ls8c_ard_3-0-0_092085_2017-03-11_final
2017-03-11 11:11:42	ga_ls8c_ard_3-0-0_108085_2017-03-11_final
2017-09-04 10:16:25	ga_ls8c_ard_3-0-0_099085_2017-09-04_final
2017-09-05 09:20:48	ga_ls8c_ard_3-0-0_090085_2017-09-04_final
2017-09-06 10:04:04	ga_ls8c_ard_3-0-0_097085_2017-09-06_final
2017-09-08 09:51:42	ga_ls8c_ard_3-0-0_095085_2017-09-08_final
2017-09-08 11:30:35	ga_ls8c_ard_3-0-0_111085_2017-09-08_final
2017-10-21 09:33:21	ga_ls8c_ard_3-0-0_092085_2017-10-21_final
2017-10-21 11:12:14	ga_ls8c_ard_3-0-0_108085_2017-10-21_final
2017-12-22 09:45:37	ga_ls8c_ard_3-0-0_094085_2017-12-22_final
2017-12-22 11:24:30	ga_ls8c_ard_3-0-0_110085_2017-12-22_final
2017-12-24 09:33:15	ga_ls8c_ard_3-0-0_092085_2017-12-24_final
2017-12-24 11:12:08	ga_ls8c_ard_3-0-0_108085_2017-12-24_final
2018-02-19 09:26:39	ga_ls8c_ard_3-0-0_091085_2018-02-18_final
2018-02-19 11:05:32	ga_ls8c_ard_3-0-0_107085_2018-02-19_final
2018-02-20 10:09:54	ga_ls8c_ard_3-0-0_098085_2018-02-20_final
2018-02-21 09:14:17	ga_ls8c_ard_3-0-0_089085_2018-02-20_final
2018-02-22 09:57:32	ga_ls8c_ard_3-0-0_096085_2018-02-22_final
2018-02-22 11:36:25	ga_ls8c_ard_3-0-0_112085_2018-02-22_final
2018-02-24 09:45:09	ga_ls8c_ard_3-0-0_094085_2018-02-24_final
2018-02-24 11:24:02	ga_ls8c_ard_3-0-0_110085_2018-02-24_final
2018-02-26 09:32:47	ga_ls8c_ard_3-0-0_092085_2018-02-26_final
2018-02-26 11:11:40	ga_ls8c_ard_3-0-0_108085_2018-02-26_final
2018-03-31 10:15:46	ga_ls8c_ard_3-0-0_099085_2018-03-31_final
2018-04-01 09:20:08	ga_ls8c_ard_3-0-0_090085_2018-03-31_final
2018-04-02 10:03:23	ga_ls8c_ard_3-0-0_097085_2018-04-02_final
2018-04-04 09:51:01	ga_ls8c_ard_3-0-0_095085_2018-04-04_final
2018-04-04 11:29:54	ga_ls8c_ard_3-0-0_111085_2018-04-04_final
2018-05-06 09:50:42	ga_ls8c_ard_3-0-0_095085_2018-05-06_final
2018-05-06 11:29:36	ga_ls8c_ard_3-0-0_111085_2018-05-06_final
2018-07-18 09:44:36	ga_ls8c_ard_3-0-0_094085_2018-07-18_final
2018-07-18 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-07-18_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