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

78 results

Time (local)	Label
2013-09-16 10:23:16	ga_ls8c_ard_3-0-0_100082_2013-09-16_final
2013-11-17 10:35:20	ga_ls8c_ard_3-0-0_102082_2013-11-17_final
2014-03-04 10:09:42	ga_ls8c_ard_3-0-0_099067_2014-03-04_final
2014-09-11 11:08:05	ga_ls8c_ard_3-0-0_108075_2014-09-11_final
2014-10-09 09:58:22	ga_ls8c_ard_3-0-0_096086_2014-10-09_final
2014-11-28 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-11-28_final
2015-08-28 10:27:40	ga_ls8c_ard_3-0-0_101083_2015-08-28_final
2015-11-08 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-11-08_final
2016-01-16 11:29:57	ga_ls8c_ard_3-0-0_112068_2016-01-16_final
2016-01-27 09:36:55	ga_ls8c_ard_3-0-0_093079_2016-01-27_final
2016-02-16 09:10:27	ga_ls8c_ard_3-0-0_089075_2016-02-15_final
2016-02-26 09:51:29	ga_ls8c_ard_3-0-0_095085_2016-02-26_final
2016-07-17 11:42:00	ga_ls8c_ard_3-0-0_113083_2016-07-17_final
2016-09-21 11:25:55	ga_ls8c_ard_3-0-0_111073_2016-09-21_final
2016-09-30 09:44:27	ga_ls8c_ard_3-0-0_094082_2016-09-30_final
2016-10-03 10:12:35	ga_ls8c_ard_3-0-0_099075_2016-10-03_final
2016-10-21 09:57:31	ga_ls8c_ard_3-0-0_097068_2016-10-21_final
2017-01-07 10:15:42	ga_ls8c_ard_3-0-0_099083_2017-01-07_final
2017-01-23 10:09:38	ga_ls8c_ard_3-0-0_099068_2017-01-23_final
2017-05-08 11:41:11	ga_ls8c_ard_3-0-0_114067_2017-05-08_final
2017-07-25 10:21:36	ga_ls8c_ard_3-0-0_100083_2017-07-25_final
2017-08-11 11:04:11	ga_ls8c_ard_3-0-0_107081_2017-08-11_final
2017-09-13 10:03:27	ga_ls8c_ard_3-0-0_098068_2017-09-13_final
2017-09-30 09:11:33	ga_ls8c_ard_3-0-0_089077_2017-09-29_final
2017-10-19 09:38:32	ga_ls8c_ard_3-0-0_094067_2017-10-19_final
2017-11-02 11:30:10	ga_ls8c_ard_3-0-0_112068_2017-11-02_final
2018-01-07 09:38:21	ga_ls8c_ard_3-0-0_094067_2018-01-07_final
2018-06-07 09:49:11	ga_ls8c_ard_3-0-0_095082_2018-06-07_final
2018-07-18 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-07-18_final
2018-09-11 11:25:17	ga_ls8c_ard_3-0-0_111073_2018-09-11_final
2018-09-14 10:18:55	ga_ls8c_ard_3-0-0_100077_2018-09-14_final
2018-11-02 09:26:47	ga_ls8c_ard_3-0-0_091085_2018-11-01_final
2018-11-12 09:56:42	ga_ls8c_ard_3-0-0_097067_2018-11-12_final
2018-12-13 09:20:33	ga_ls8c_ard_3-0-0_090085_2018-12-12_final
2018-12-20 09:22:45	ga_ls8c_ard_3-0-0_091075_2018-12-19_final
2019-01-13 10:09:46	ga_ls8c_ard_3-0-0_099069_2019-01-13_final
2019-02-06 09:23:02	ga_ls8c_ard_3-0-0_091076_2019-02-05_final
2019-04-10 10:21:35	ga_ls8c_ard_3-1-0_100084_2019-04-10_final
2019-07-08 10:16:14	ga_ls8c_ard_3-1-0_099085_2019-07-08_final
2020-03-10 09:34:44	ga_ls8c_ard_3-1-0_093074_2020-03-10_final
2020-04-13 09:22:30	ga_ls8c_ard_3-1-0_091075_2020-04-12_final
2020-05-05 10:22:07	ga_ls8c_ard_3-1-0_101070_2020-05-05_final
2020-08-27 10:10:26	ga_ls8c_ard_3-1-0_099070_2020-08-27_final
2020-09-03 10:18:40	ga_ls8c_ard_3-1-0_100075_2020-09-03_final
2020-09-13 10:52:37	ga_ls8c_ard_3-1-0_106067_2020-09-13_final
2020-10-18 11:24:02	ga_ls8c_ard_3-1-0_111068_2020-10-18_final
2020-12-13 10:37:23	ga_ls8c_ard_3-1-0_103075_2020-12-13_final
2020-12-30 09:38:31	ga_ls8c_ard_3-2-0_094067_2020-12-30_final
2021-01-22 11:25:02	ga_ls8c_ard_3-2-0_111071_2021-01-22_final
2021-02-18 11:07:36	ga_ls8c_ard_3-2-0_108074_2021-02-18_final
2021-04-17 11:41:31	ga_ls8c_ard_3-2-0_114067_2021-04-17_final
2021-05-01 11:57:20	ga_ls8c_ard_3-2-0_116076_2021-05-01_final
2021-05-04 09:14:25	ga_ls8c_ard_3-2-0_089086_2021-05-03_final
2021-05-25 11:08:26	ga_ls8c_ard_3-2-0_108077_2021-05-25_final
2021-05-27 09:16:48	ga_ls8c_ard_3-2-0_090076_2021-05-26_final
2021-07-14 09:20:12	ga_ls8c_ard_3-2-0_090084_2021-07-13_final
2021-07-28 11:07:58	ga_ls8c_ard_3-2-0_108075_2021-07-28_final
2021-10-14 11:24:19	ga_ls8c_ard_3-2-0_110084_2021-10-14_final
2022-01-06 10:59:01	ga_ls8c_ard_3-2-1_106083_2022-01-06_final
2022-04-10 09:33:16	ga_ls8c_ard_3-2-1_092086_2022-04-10_final
2022-05-20 11:58:32	ga_ls8c_ard_3-2-1_116078_2022-05-20_final
2022-05-27 10:22:37	ga_ls8c_ard_3-2-1_101070_2022-05-27_final
2022-05-29 10:09:28	ga_ls8c_ard_3-2-1_099068_2022-05-29_final
2022-06-22 09:28:41	ga_ls8c_ard_3-2-1_091089_2022-06-21_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-11-10 10:32:16	ga_ls8c_ard_3-2-1_102077_2022-11-10_final
2022-11-30 10:03:31	ga_ls8c_ard_3-2-1_098067_2022-11-30_final
2022-12-06 11:08:06	ga_ls8c_ard_3-2-1_108074_2022-12-06_final
2023-03-07 09:12:55	ga_ls8c_ard_3-2-1_089081_2023-03-06_final
2023-03-30 09:16:30	ga_ls8c_ard_3-2-1_090075_2023-03-29_final
2023-04-04 09:35:22	ga_ls8c_ard_3-2-1_093076_2023-04-04_final
2023-04-19 10:32:46	ga_ls8c_ard_3-2-1_102081_2023-04-19_final
2023-06-01 10:08:26	ga_ls8c_ard_3-2-1_099067_2023-06-01_final
2023-09-19 10:25:33	ga_ls8c_ard_3-2-1_101077_2023-09-19_final
2024-01-19 11:01:04	ga_ls8c_ard_3-2-1_107073_2024-01-19_final
2024-02-11 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-02-11_final
2024-02-14 09:57:39	ga_ls8c_ard_3-2-1_097069_2024-02-14_final
2024-03-16 10:52:36	ga_ls8c_ard_3-2-1_106068_2024-03-16_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