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
2013-04-03 09:53:48	ga_ls8c_ard_3-0-0_095086_2013-04-03_final
2013-08-19 11:32:18	ga_ls8c_ard_3-0-0_112069_2013-08-19_final
2013-12-15 09:18:38	ga_ls8c_ard_3-0-0_090076_2013-12-14_final
2014-04-06 09:17:16	ga_ls8c_ard_3-0-0_090076_2014-04-05_final
2014-05-20 11:16:38	ga_ls8c_ard_3-0-0_110067_2014-05-20_final
2014-06-25 09:21:12	ga_ls8c_ard_3-0-0_090087_2014-06-24_final
2014-10-22 09:20:19	ga_ls8c_ard_3-0-0_091068_2014-10-21_final
2014-11-14 09:28:53	ga_ls8c_ard_3-0-0_092074_2014-11-13_final
2015-03-01 10:52:22	ga_ls8c_ard_3-0-0_105083_2015-03-01_final
2015-03-07 10:13:13	ga_ls8c_ard_3-0-0_099078_2015-03-07_final
2015-03-22 09:28:13	ga_ls8c_ard_3-0-0_092074_2015-03-21_final
2015-08-30 10:13:19	ga_ls8c_ard_3-0-0_099078_2015-08-30_final
2015-09-30 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-09-29_final
2015-10-05 11:29:18	ga_ls8c_ard_3-0-0_111082_2015-10-05_final
2015-10-07 09:33:40	ga_ls8c_ard_3-0-0_093071_2015-10-07_final
2015-11-15 09:38:20	ga_ls8c_ard_3-0-0_094067_2015-11-15_final
2015-11-17 09:27:59	ga_ls8c_ard_3-0-0_092072_2015-11-16_final
2016-02-14 09:21:38	ga_ls8c_ard_3-0-0_091072_2016-02-13_final
2016-04-25 09:27:22	ga_ls8c_ard_3-0-0_092072_2016-04-24_final
2016-06-10 09:37:55	ga_ls8c_ard_3-0-0_094067_2016-06-10_final
2016-06-23 09:10:17	ga_ls8c_ard_3-0-0_089075_2016-06-22_final
2016-06-28 09:34:28	ga_ls8c_ard_3-0-0_092089_2016-06-28_final
2016-07-30 09:27:52	ga_ls8c_ard_3-0-0_092072_2016-07-29_final
2016-09-18 09:22:55	ga_ls8c_ard_3-0-0_090090_2016-09-17_final
2016-11-03 09:28:12	ga_ls8c_ard_3-0-0_092072_2016-11-02_final
2016-11-11 10:20:01	ga_ls8c_ard_3-0-0_100078_2016-11-11_final
2016-11-21 09:17:26	ga_ls8c_ard_3-0-0_090076_2016-11-20_final
2016-12-05 09:28:11	ga_ls8c_ard_3-0-0_092072_2016-12-04_final
2017-01-13 09:33:49	ga_ls8c_ard_3-0-0_093071_2017-01-13_final
2017-01-24 09:16:48	ga_ls8c_ard_3-0-0_090075_2017-01-23_final
2017-02-16 09:22:01	ga_ls8c_ard_3-0-0_091073_2017-02-15_final
2017-03-06 09:10:20	ga_ls8c_ard_3-0-0_089075_2017-03-05_final
2017-05-07 09:19:25	ga_ls8c_ard_3-0-0_091068_2017-05-06_final
2017-06-01 10:52:00	ga_ls8c_ard_3-0-0_106067_2017-06-01_final
2017-06-06 09:32:05	ga_ls8c_ard_3-0-0_093068_2017-06-06_final
2017-07-03 09:21:16	ga_ls8c_ard_3-0-0_090087_2017-07-02_final
2017-07-17 09:28:30	ga_ls8c_ard_3-0-0_092074_2017-07-16_final
2017-08-04 09:22:16	ga_ls8c_ard_3-0-0_090089_2017-08-03_final
2017-08-28 11:47:31	ga_ls8c_ard_3-0-0_114081_2017-08-28_final
2017-09-26 09:34:15	ga_ls8c_ard_3-0-0_093072_2017-09-26_final
2018-01-05 11:32:00	ga_ls8c_ard_3-0-0_112073_2018-01-05_final
2018-01-16 09:33:41	ga_ls8c_ard_3-0-0_093071_2018-01-16_final
2018-03-28 09:37:43	ga_ls8c_ard_3-0-0_094067_2018-03-28_final
2018-04-08 09:21:04	ga_ls8c_ard_3-0-0_091072_2018-04-07_final
2018-04-27 09:50:35	ga_ls8c_ard_3-0-0_096069_2018-04-27_final
2018-05-19 10:51:21	ga_ls8c_ard_3-0-0_106067_2018-05-19_final
2018-07-02 11:16:58	ga_ls8c_ard_3-0-0_110069_2018-07-02_final
2018-07-18 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-07-18_final
2018-11-19 10:02:29	ga_ls8c_ard_3-2-1_098066_2018-11-19_final
2019-02-25 11:30:22	ga_ls8c_ard_3-0-0_112070_2019-02-25_final
2019-04-09 09:33:33	ga_ls8c_ard_3-1-0_093072_2019-04-09_final
2019-09-14 09:46:16	ga_ls8c_ard_3-1-0_095071_2019-09-14_final
2019-09-14 11:24:22	ga_ls8c_ard_3-1-0_111069_2019-09-14_final
2019-10-11 09:29:03	ga_ls8c_ard_3-1-0_092074_2019-10-10_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2019-12-07 09:22:48	ga_ls8c_ard_3-1-0_091074_2019-12-06_final
2019-12-10 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-12-10_final
2019-12-23 09:22:45	ga_ls8c_ard_3-1-0_091074_2019-12-22_final
2020-01-06 09:34:39	ga_ls8c_ard_3-1-0_093073_2020-01-06_final
2020-01-22 09:33:47	ga_ls8c_ard_3-1-0_093071_2020-01-22_final
2020-02-25 09:22:28	ga_ls8c_ard_3-1-0_091074_2020-02-24_final
2020-02-26 10:09:43	ga_ls8c_ard_3-1-0_098084_2020-02-26_final
2020-04-18 09:37:48	ga_ls8c_ard_3-1-0_094067_2020-04-18_final
2020-06-23 09:28:23	ga_ls8c_ard_3-1-0_092074_2020-06-22_final
2020-07-11 09:16:57	ga_ls8c_ard_3-1-0_090076_2020-07-10_final
2020-08-10 09:28:38	ga_ls8c_ard_3-1-0_092074_2020-08-09_final
2021-04-01 10:03:07	ga_ls8c_ard_3-2-0_098068_2021-04-01_final
2021-04-07 09:29:12	ga_ls8c_ard_3-2-0_092076_2021-04-06_final
2021-04-14 11:14:37	ga_ls8c_ard_3-2-0_109077_2021-04-14_final
2021-05-04 09:13:13	ga_ls8c_ard_3-2-0_089083_2021-05-03_final
2021-05-07 09:37:43	ga_ls8c_ard_3-2-0_094067_2021-05-07_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-07-16 09:07:27	ga_ls8c_ard_3-2-0_088083_2021-07-15_final
2021-08-15 09:17:15	ga_ls8c_ard_3-2-0_090076_2021-08-14_final
2021-08-18 09:52:09	ga_ls8c_ard_3-2-0_095086_2021-08-18_final
2021-12-12 09:23:14	ga_ls8c_ard_3-2-1_091075_2021-12-11_final
2021-12-17 11:18:15	ga_ls8c_ard_3-2-1_110069_2021-12-17_final
2022-02-07 09:21:37	ga_ls8c_ard_3-2-1_090087_2022-02-06_final
2022-03-03 10:02:34	ga_ls8c_ard_3-2-1_098066_2022-03-03_final
2022-03-05 11:31:28	ga_ls8c_ard_3-2-1_112072_2022-03-05_final
2022-04-08 11:17:42	ga_ls8c_ard_3-2-1_110069_2022-04-08_final
2022-04-27 10:13:17	ga_ls8c_ard_3-2-1_099078_2022-04-27_final
2022-05-23 09:16:27	ga_ls8c_ard_3-2-1_089090_2022-05-22_final
2022-06-15 09:17:16	ga_ls8c_ard_3-2-1_090076_2022-06-14_final
2022-07-31 09:28:17	ga_ls8c_ard_3-2-1_092072_2022-07-30_final
2022-08-16 09:28:23	ga_ls8c_ard_3-2-1_092072_2022-08-15_final
2022-08-19 11:38:11	ga_ls8c_ard_3-2-1_113072_2022-08-19_final
2022-09-17 09:33:41	ga_ls8c_ard_3-2-1_092085_2022-09-17_final
2022-11-13 09:22:16	ga_ls8c_ard_3-2-1_091072_2022-11-12_final
2022-11-14 10:10:18	ga_ls8c_ard_3-2-1_098084_2022-11-14_final
2023-02-01 11:01:21	ga_ls8c_ard_3-2-1_107073_2023-02-01_final
2023-02-09 10:13:52	ga_ls8c_ard_3-2-1_099078_2023-02-09_final
2023-04-14 10:10:17	ga_ls8c_ard_3-2-1_099071_2023-04-14_final
2023-06-20 09:07:00	ga_ls8c_ard_3-2-1_088083_2023-06-19_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-09-18 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-09-18_final
2023-09-21 10:13:35	ga_ls8c_ard_3-2-1_099078_2023-09-21_final
2023-09-29 09:22:12	ga_ls8c_ard_3-2-1_091073_2023-09-28_final
2023-11-12 09:46:09	ga_ls8c_ard_3-2-1_095071_2023-11-12_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_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