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
2013-04-26 09:29:01	ga_ls8c_ard_3-0-0_091086_2013-04-25_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-05-26 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-05-26_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-08-25 09:22:44	ga_ls8c_ard_3-0-0_090085_2013-08-24_final
2013-08-25 09:23:08	ga_ls8c_ard_3-0-0_090086_2013-08-24_final
2013-08-26 10:06:00	ga_ls8c_ard_3-0-0_097085_2013-08-26_final
2013-08-28 09:54:02	ga_ls8c_ard_3-0-0_095086_2013-08-28_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
2015-09-26 09:58:10	ga_ls8c_ard_3-0-0_096086_2015-09-26_final
2015-09-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2015-09-26_final
2015-10-27 09:14:36	ga_ls8c_ard_3-0-0_089085_2015-10-26_final
2015-10-28 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-10-28_final
2015-10-28 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-10-28_final
2016-05-18 09:38:48	ga_ls8c_ard_3-0-0_093085_2016-05-18_final
2016-05-18 09:39:12	ga_ls8c_ard_3-0-0_093086_2016-05-18_final
2016-05-18 11:17:41	ga_ls8c_ard_3-0-0_109085_2016-05-18_final
2016-05-19 10:22:05	ga_ls8c_ard_3-0-0_100085_2016-05-19_final
2016-05-20 09:26:52	ga_ls8c_ard_3-0-0_091086_2016-05-19_final
2016-05-20 11:05:21	ga_ls8c_ard_3-0-0_107085_2016-05-20_final
2016-06-22 10:09:53	ga_ls8c_ard_3-0-0_098085_2016-06-22_final
2016-06-22 10:10:17	ga_ls8c_ard_3-0-0_098086_2016-06-22_final
2016-06-23 09:14:17	ga_ls8c_ard_3-0-0_089085_2016-06-22_final
2016-06-23 09:14:41	ga_ls8c_ard_3-0-0_089086_2016-06-22_final
2016-06-24 09:57:33	ga_ls8c_ard_3-0-0_096085_2016-06-24_final
2016-06-24 09:57:57	ga_ls8c_ard_3-0-0_096086_2016-06-24_final
2016-07-23 09:27:16	ga_ls8c_ard_3-0-0_091086_2016-07-22_final
2016-07-23 11:05:45	ga_ls8c_ard_3-0-0_107085_2016-07-23_final
2016-07-24 10:10:31	ga_ls8c_ard_3-0-0_098086_2016-07-24_final
2016-07-25 09:14:54	ga_ls8c_ard_3-0-0_089086_2016-07-24_final
2016-07-26 09:57:46	ga_ls8c_ard_3-0-0_096085_2016-07-26_final
2016-07-26 09:58:10	ga_ls8c_ard_3-0-0_096086_2016-07-26_final
2016-07-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2016-07-26_final
2016-07-30 09:33:28	ga_ls8c_ard_3-0-0_092086_2016-07-30_final
2016-07-31 10:16:20	ga_ls8c_ard_3-0-0_099085_2016-07-31_final
2016-08-01 09:20:42	ga_ls8c_ard_3-0-0_090085_2016-07-31_final
2016-08-01 09:21:06	ga_ls8c_ard_3-0-0_090086_2016-07-31_final
2016-08-06 09:39:15	ga_ls8c_ard_3-0-0_093085_2016-08-06_final
2016-08-06 09:39:39	ga_ls8c_ard_3-0-0_093086_2016-08-06_final
2016-08-08 09:27:18	ga_ls8c_ard_3-0-0_091086_2016-08-07_final
2016-09-10 10:10:45	ga_ls8c_ard_3-0-0_098086_2016-09-10_final
2016-09-11 09:15:08	ga_ls8c_ard_3-0-0_089086_2016-09-10_final
2016-09-12 09:58:00	ga_ls8c_ard_3-0-0_096085_2016-09-12_final
2016-09-12 09:58:24	ga_ls8c_ard_3-0-0_096086_2016-09-12_final
2016-09-12 11:36:53	ga_ls8c_ard_3-0-0_112085_2016-09-12_final
2016-09-19 10:04:11	ga_ls8c_ard_3-0-0_097085_2016-09-19_final
2016-09-19 10:04:35	ga_ls8c_ard_3-0-0_097086_2016-09-19_final
2016-09-21 09:51:50	ga_ls8c_ard_3-0-0_095085_2016-09-21_final
2016-09-21 09:52:14	ga_ls8c_ard_3-0-0_095086_2016-09-21_final
2016-09-21 11:30:43	ga_ls8c_ard_3-0-0_111085_2016-09-21_final
2016-10-04 09:20:57	ga_ls8c_ard_3-0-0_090085_2016-10-03_final
2016-10-04 09:21:21	ga_ls8c_ard_3-0-0_090086_2016-10-03_final
2016-10-05 10:04:13	ga_ls8c_ard_3-0-0_097085_2016-10-05_final
2016-10-05 10:04:37	ga_ls8c_ard_3-0-0_097086_2016-10-05_final
2016-10-09 09:39:56	ga_ls8c_ard_3-0-0_093086_2016-10-09_final
2016-10-09 11:18:25	ga_ls8c_ard_3-0-0_109085_2016-10-09_final
2016-10-10 10:22:48	ga_ls8c_ard_3-0-0_100085_2016-10-10_final
2016-10-11 09:27:35	ga_ls8c_ard_3-0-0_091086_2016-10-10_final
2016-10-11 11:06:04	ga_ls8c_ard_3-0-0_107085_2016-10-11_final
2016-10-12 10:10:27	ga_ls8c_ard_3-0-0_098085_2016-10-12_final
2016-10-12 10:10:51	ga_ls8c_ard_3-0-0_098086_2016-10-12_final
2016-10-13 09:15:14	ga_ls8c_ard_3-0-0_089086_2016-10-12_final
2016-10-14 09:58:30	ga_ls8c_ard_3-0-0_096086_2016-10-14_final
2018-02-17 09:39:26	ga_ls8c_ard_3-0-0_093086_2018-02-17_final
2018-04-17 09:20:23	ga_ls8c_ard_3-0-0_090086_2018-04-16_final
2018-04-18 10:03:38	ga_ls8c_ard_3-0-0_097086_2018-04-18_final
2019-07-08 10:16:14	ga_ls8c_ard_3-1-0_099085_2019-07-08_final
2019-07-09 09:20:37	ga_ls8c_ard_3-1-0_090085_2019-07-08_final
2019-07-09 09:21:01	ga_ls8c_ard_3-1-0_090086_2019-07-08_final
2019-07-10 10:03:53	ga_ls8c_ard_3-1-0_097085_2019-07-10_final
2019-07-10 10:04:17	ga_ls8c_ard_3-1-0_097086_2019-07-10_final
2019-11-13 10:16:40	ga_ls8c_ard_3-1-0_099085_2019-11-13_final
2019-11-14 09:21:26	ga_ls8c_ard_3-1-0_090086_2019-11-13_final
2019-11-15 10:04:42	ga_ls8c_ard_3-1-0_097086_2019-11-15_final
2019-12-05 09:39:33	ga_ls8c_ard_3-1-0_093085_2019-12-05_final
2019-12-05 09:39:57	ga_ls8c_ard_3-1-0_093086_2019-12-05_final
2019-12-06 10:22:48	ga_ls8c_ard_3-1-0_100085_2019-12-06_final
2021-01-04 10:04:13	ga_ls8c_ard_3-2-0_097085_2021-01-04_final
2021-01-04 10:04:37	ga_ls8c_ard_3-2-0_097086_2021-01-04_final
2021-01-06 09:52:14	ga_ls8c_ard_3-2-0_095086_2021-01-06_final
2021-02-02 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-02-02_final
2021-02-02 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-02-02_final
2021-04-01 10:10:18	ga_ls8c_ard_3-2-0_098086_2021-04-01_final
2021-04-02 09:14:41	ga_ls8c_ard_3-2-0_089086_2021-04-01_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
2021-04-12 09:51:42	ga_ls8c_ard_3-2-0_095086_2021-04-12_final
2021-04-25 09:20:42	ga_ls8c_ard_3-2-0_090086_2021-04-24_final
2021-04-26 10:03:57	ga_ls8c_ard_3-2-0_097086_2021-04-26_final
2021-04-28 09:51:34	ga_ls8c_ard_3-2-0_095086_2021-04-28_final
2021-04-30 09:39:11	ga_ls8c_ard_3-2-0_093086_2021-04-30_final
2021-09-10 09:58:26	ga_ls8c_ard_3-2-0_096086_2021-09-10_final
2021-09-12 09:46:05	ga_ls8c_ard_3-2-0_094086_2021-09-12_final
2021-09-12 11:24:34	ga_ls8c_ard_3-2-0_110085_2021-09-12_final
2021-09-14 11:12:13	ga_ls8c_ard_3-2-0_108085_2021-09-14_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