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
2013-07-07 10:15:06	ga_ls8c_ard_3-0-0_099077_2013-07-07_final
2013-09-09 10:15:08	ga_ls8c_ard_3-0-0_099077_2013-09-09_final
2013-11-24 10:41:02	ga_ls8c_ard_3-0-0_103081_2013-11-24_final
2013-12-11 09:39:49	ga_ls8c_ard_3-0-0_094067_2013-12-11_final
2014-07-26 10:13:48	ga_ls8c_ard_3-0-0_099079_2014-07-26_final
2014-08-01 09:40:24	ga_ls8c_ard_3-0-0_093088_2014-08-01_final
2014-08-10 09:28:42	ga_ls8c_ard_3-0-0_092074_2014-08-09_final
2014-10-27 09:38:25	ga_ls8c_ard_3-0-0_094067_2014-10-27_final
2014-11-21 09:34:11	ga_ls8c_ard_3-0-0_093072_2014-11-21_final
2014-12-12 11:31:32	ga_ls8c_ard_3-0-0_112072_2014-12-12_final
2015-01-14 10:36:17	ga_ls8c_ard_3-0-0_103073_2015-01-14_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-05-14 11:23:30	ga_ls8c_ard_3-0-0_111070_2015-05-14_final
2015-05-26 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-26_final
2015-07-02 10:32:39	ga_ls8c_ard_3-0-0_102081_2015-07-02_final
2015-11-17 09:28:47	ga_ls8c_ard_3-0-0_092074_2015-11-16_final
2016-01-05 11:52:29	ga_ls8c_ard_3-0-0_115078_2016-01-05_final
2016-03-24 11:11:17	ga_ls8c_ard_3-0-0_108084_2016-03-24_final
2016-04-01 10:21:21	ga_ls8c_ard_3-0-0_100083_2016-04-01_final
2016-10-02 09:28:54	ga_ls8c_ard_3-0-0_092074_2016-10-01_final
2016-11-10 09:34:22	ga_ls8c_ard_3-0-0_093072_2016-11-10_final
2016-12-19 09:38:29	ga_ls8c_ard_3-0-0_094067_2016-12-19_final
2017-02-22 10:22:59	ga_ls8c_ard_3-0-0_101071_2017-02-22_final
2017-04-28 09:27:58	ga_ls8c_ard_3-0-0_092074_2017-04-27_final
2017-05-06 10:19:01	ga_ls8c_ard_3-0-0_100078_2017-05-06_final
2017-06-27 11:31:14	ga_ls8c_ard_3-0-0_112072_2017-06-27_final
2017-06-29 11:18:05	ga_ls8c_ard_3-0-0_110070_2017-06-29_final
2017-08-16 09:38:17	ga_ls8c_ard_3-0-0_094067_2017-08-16_final
2017-09-22 09:56:56	ga_ls8c_ard_3-0-0_097067_2017-09-22_final
2018-01-23 09:40:36	ga_ls8c_ard_3-0-0_094073_2018-01-23_final
2018-06-07 09:44:24	ga_ls8c_ard_3-0-0_095070_2018-06-07_final
2018-07-02 09:37:17	ga_ls8c_ard_3-0-0_094067_2018-07-02_final
2018-07-04 11:07:01	ga_ls8c_ard_3-0-0_108075_2018-07-04_final
2018-07-07 11:34:46	ga_ls8c_ard_3-0-0_113067_2018-07-07_final
2018-07-16 11:31:02	ga_ls8c_ard_3-0-0_112073_2018-07-16_final
2018-07-20 09:27:52	ga_ls8c_ard_3-0-0_092074_2018-07-19_final
2018-08-03 09:39:08	ga_ls8c_ard_3-0-0_094071_2018-08-03_final
2018-08-03 11:17:38	ga_ls8c_ard_3-0-0_110070_2018-08-03_final
2018-10-09 10:12:55	ga_ls8c_ard_3-0-0_099077_2018-10-09_final
2018-10-09 10:13:19	ga_ls8c_ard_3-0-0_099078_2018-10-09_final
2018-10-09 11:52:12	ga_ls8c_ard_3-0-0_115078_2018-10-09_final
2019-02-09 11:30:26	ga_ls8c_ard_3-0-0_112070_2019-02-09_final
2019-02-11 09:45:58	ga_ls8c_ard_3-0-0_094087_2019-02-11_final
2019-05-05 10:12:34	ga_ls8c_ard_3-0-0_099077_2019-05-05_final
2019-05-30 10:07:03	ga_ls8c_ard_3-0-0_098078_2019-05-30_final
2019-06-28 11:14:25	ga_ls8c_ard_3-1-0_109076_2019-06-28_final
2019-09-10 10:13:22	ga_ls8c_ard_3-1-0_099077_2019-09-10_final
2019-11-10 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-11-10_final
2020-02-21 11:23:18	ga_ls8c_ard_3-1-0_111067_2020-02-21_final
2020-02-26 10:09:43	ga_ls8c_ard_3-1-0_098084_2020-02-26_final
2020-04-20 09:28:13	ga_ls8c_ard_3-1-0_092074_2020-04-19_final
2020-05-07 10:12:55	ga_ls8c_ard_3-1-0_099078_2020-05-07_final
2020-05-20 09:37:40	ga_ls8c_ard_3-1-0_094067_2020-05-20_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-08-29 09:57:18	ga_ls8c_ard_3-1-0_097068_2020-08-29_final
2020-11-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2020-11-01_final
2020-12-10 10:10:05	ga_ls8c_ard_3-1-0_098084_2020-12-10_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-07-14 09:17:00	ga_ls8c_ard_3-2-0_090076_2021-07-13_final
2021-07-20 11:57:44	ga_ls8c_ard_3-2-0_116076_2021-07-20_final
2021-07-27 10:22:42	ga_ls8c_ard_3-2-0_101070_2021-07-27_final
2021-09-03 09:47:02	ga_ls8c_ard_3-2-0_095073_2021-09-03_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2021-11-10 09:23:16	ga_ls8c_ard_3-2-0_091075_2021-11-09_final
2022-01-02 09:40:04	ga_ls8c_ard_3-2-1_094071_2022-01-02_final
2022-02-07 10:53:43	ga_ls8c_ard_3-2-1_106070_2022-02-07_final
2022-03-02 09:22:06	ga_ls8c_ard_3-2-1_091073_2022-03-01_final
2022-03-02 09:22:30	ga_ls8c_ard_3-2-1_091074_2022-03-01_final
2022-03-05 09:58:11	ga_ls8c_ard_3-2-1_096086_2022-03-05_final
2022-03-11 09:17:28	ga_ls8c_ard_3-2-1_090077_2022-03-10_final
2022-05-15 09:56:42	ga_ls8c_ard_3-2-1_097067_2022-05-15_final
2022-05-25 10:39:22	ga_ls8c_ard_3-2-1_103081_2022-05-25_final
2022-08-23 11:14:16	ga_ls8c_ard_3-2-1_109074_2022-08-23_final
2022-09-15 11:18:32	ga_ls8c_ard_3-2-1_110069_2022-09-15_final
2022-10-12 09:22:36	ga_ls8c_ard_3-2-1_091073_2022-10-11_final
2022-12-24 09:17:29	ga_ls8c_ard_3-2-1_090076_2022-12-23_final
2022-12-27 11:24:30	ga_ls8c_ard_3-2-1_111069_2022-12-27_final
2023-01-02 09:12:08	ga_ls8c_ard_3-2-1_089078_2023-01-01_final
2023-02-09 10:09:52	ga_ls8c_ard_3-2-1_099068_2023-02-09_final
2023-02-27 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-02-27_final
2023-04-20 11:13:38	ga_ls8c_ard_3-2-1_109075_2023-04-20_final
2023-05-02 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-05-02_final
2023-05-15 09:33:31	ga_ls8c_ard_3-2-1_092088_2023-05-15_final
2023-05-31 09:27:58	ga_ls8c_ard_3-2-1_092074_2023-05-30_final
2023-06-19 11:37:07	ga_ls8c_ard_3-2-1_113072_2023-06-19_final
2023-07-25 09:34:12	ga_ls8c_ard_3-2-1_093073_2023-07-25_final
2023-08-20 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-08-20_final
2023-08-21 09:16:41	ga_ls8c_ard_3-2-1_090075_2023-08-20_final
2023-10-04 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-04_final
2023-10-08 09:16:50	ga_ls8c_ard_3-2-1_090075_2023-10-07_final
2023-10-11 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-10-11_final
2023-10-22 11:08:06	ga_ls8c_ard_3-2-1_108075_2023-10-22_final
2023-11-09 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-11-08_final
2023-12-18 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-12-17_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2024-02-05 10:07:26	ga_ls8c_ard_3-2-1_098078_2024-02-05_final
2024-02-18 09:34:30	ga_ls8c_ard_3-2-1_093073_2024-02-18_final
2024-03-01 09:56:45	ga_ls8c_ard_3-2-1_097067_2024-03-01_final
2024-03-15 10:12:57	ga_ls8c_ard_3-2-1_099077_2024-03-15_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