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
2013-03-31 09:31:51	ga_ls8c_ard_3-0-0_092074_2013-03-31_final
2013-04-05 09:28:04	ga_ls8c_ard_3-0-0_092075_2013-04-04_final
2013-06-01 10:36:18	ga_ls8c_ard_3-0-0_103068_2013-06-01_final
2013-06-21 10:11:26	ga_ls8c_ard_3-0-0_099068_2013-06-21_final
2013-09-25 10:15:24	ga_ls8c_ard_3-0-0_099078_2013-09-25_final
2013-12-30 10:11:44	ga_ls8c_ard_3-0-0_099070_2013-12-30_final
2014-05-06 11:06:46	ga_ls8c_ard_3-0-0_108073_2014-05-06_final
2014-08-10 09:28:42	ga_ls8c_ard_3-0-0_092074_2014-08-09_final
2014-08-10 11:07:59	ga_ls8c_ard_3-0-0_108075_2014-08-10_final
2015-05-18 09:21:54	ga_ls8c_ard_3-0-0_091075_2015-05-17_final
2015-07-11 10:26:35	ga_ls8c_ard_3-0-0_101081_2015-07-11_final
2015-11-08 09:34:09	ga_ls8c_ard_3-0-0_093072_2015-11-08_final
2015-12-08 09:50:31	ga_ls8c_ard_3-0-0_095082_2015-12-08_final
2015-12-15 09:51:31	ga_ls8c_ard_3-0-0_096069_2015-12-15_final
2015-12-19 11:06:05	ga_ls8c_ard_3-0-0_108070_2015-12-19_final
2016-01-27 09:33:43	ga_ls8c_ard_3-0-0_093071_2016-01-27_final
2016-02-12 11:13:42	ga_ls8c_ard_3-0-0_109074_2016-02-12_final
2016-03-04 11:36:09	ga_ls8c_ard_3-0-0_112084_2016-03-04_final
2016-03-22 09:39:59	ga_ls8c_ard_3-0-0_094072_2016-03-22_final
2016-03-22 11:17:41	ga_ls8c_ard_3-0-0_110069_2016-03-22_final
2016-05-14 09:56:42	ga_ls8c_ard_3-0-0_097068_2016-05-14_final
2016-07-14 09:33:48	ga_ls8c_ard_3-0-0_092087_2016-07-14_final
2016-07-17 11:42:00	ga_ls8c_ard_3-0-0_113083_2016-07-17_final
2016-08-29 11:19:16	ga_ls8c_ard_3-0-0_110072_2016-08-29_final
2016-11-15 09:50:55	ga_ls8c_ard_3-0-0_096067_2016-11-15_final
2016-11-22 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-11-22_final
2017-01-18 09:50:44	ga_ls8c_ard_3-0-0_096067_2017-01-18_final
2017-01-19 10:35:59	ga_ls8c_ard_3-0-0_103072_2017-01-19_final
2017-03-02 11:17:10	ga_ls8c_ard_3-0-0_109083_2017-03-02_final
2017-04-17 11:23:56	ga_ls8c_ard_3-0-0_111070_2017-04-17_final
2017-05-05 11:12:14	ga_ls8c_ard_3-0-0_109072_2017-05-05_final
2017-05-07 09:21:24	ga_ls8c_ard_3-0-0_091073_2017-05-06_final
2017-06-04 11:22:55	ga_ls8c_ard_3-0-0_111067_2017-06-04_final
2017-08-03 10:13:30	ga_ls8c_ard_3-0-0_099078_2017-08-03_final
2017-10-22 11:52:42	ga_ls8c_ard_3-0-0_115078_2017-10-22_final
2017-12-12 09:07:17	ga_ls8c_ard_3-0-0_088082_2017-12-11_final
2017-12-17 10:59:57	ga_ls8c_ard_3-0-0_107070_2017-12-17_final
2018-08-27 10:33:11	ga_ls8c_ard_3-0-0_102082_2018-08-27_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2018-12-08 10:35:44	ga_ls8c_ard_3-0-0_103072_2018-12-08_final
2018-12-22 10:48:53	ga_ls8c_ard_3-0-0_105074_2018-12-22_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-01-08 11:30:32	ga_ls8c_ard_3-0-0_112070_2019-01-08_final
2019-03-19 10:57:10	ga_ls8c_ard_3-1-0_106080_2019-03-19_final
2019-07-07 09:34:34	ga_ls8c_ard_3-1-0_092089_2019-07-07_final
2019-08-17 09:27:49	ga_ls8c_ard_3-1-0_091087_2019-08-16_final
2019-09-04 10:49:37	ga_ls8c_ard_3-1-0_105075_2019-09-04_final
2019-10-14 11:41:38	ga_ls8c_ard_3-1-0_113081_2019-10-14_final
2019-10-16 11:30:04	ga_ls8c_ard_3-1-0_111083_2019-10-16_final
2019-11-03 09:34:26	ga_ls8c_ard_3-1-0_093072_2019-11-03_final
2019-11-21 11:01:41	ga_ls8c_ard_3-1-0_107074_2019-11-21_final
2019-12-30 09:28:06	ga_ls8c_ard_3-1-0_092072_2019-12-29_final
2020-02-28 09:50:34	ga_ls8c_ard_3-1-0_096067_2020-02-28_final
2020-04-15 10:46:37	ga_ls8c_ard_3-1-0_105069_2020-04-15_final
2020-05-30 10:19:10	ga_ls8c_ard_3-1-0_100078_2020-05-30_final
2020-08-26 11:06:27	ga_ls8c_ard_3-1-0_108071_2020-08-26_final
2020-10-27 11:18:14	ga_ls8c_ard_3-1-0_110069_2020-10-27_final
2021-04-12 09:51:42	ga_ls8c_ard_3-2-0_095086_2021-04-12_final
2021-05-11 09:20:14	ga_ls8c_ard_3-2-0_090085_2021-05-10_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-10-01 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-10-01_final
2021-11-01 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-11-01_final
2021-11-18 10:10:15	ga_ls8c_ard_3-2-0_099069_2021-11-18_final
2021-11-20 11:35:59	ga_ls8c_ard_3-2-0_113067_2021-11-20_final
2022-01-04 11:07:47	ga_ls8c_ard_3-2-1_108074_2022-01-04_final
2022-01-25 09:50:33	ga_ls8c_ard_3-2-1_095082_2022-01-25_final
2022-02-01 09:58:18	ga_ls8c_ard_3-2-1_096086_2022-02-01_final
2022-03-06 10:39:50	ga_ls8c_ard_3-2-1_103082_2022-03-06_final
2022-04-21 09:16:19	ga_ls8c_ard_3-2-1_089090_2022-04-20_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-06-03 10:30:05	ga_ls8c_ard_3-2-1_102073_2022-06-03_final
2022-07-13 09:40:27	ga_ls8c_ard_3-2-1_094072_2022-07-13_final
2022-07-15 11:08:09	ga_ls8c_ard_3-2-1_108075_2022-07-15_final
2022-08-21 11:30:13	ga_ls8c_ard_3-2-1_111083_2022-08-21_final
2022-08-30 11:20:50	ga_ls8c_ard_3-2-1_110075_2022-08-30_final
2022-09-18 10:10:34	ga_ls8c_ard_3-2-1_099069_2022-09-18_final
2022-10-06 10:01:21	ga_ls8c_ard_3-2-1_097077_2022-10-06_final
2022-10-11 10:21:26	ga_ls8c_ard_3-2-1_100081_2022-10-11_final
2022-10-14 10:49:30	ga_ls8c_ard_3-2-1_105074_2022-10-14_final
2022-10-21 09:22:04	ga_ls8c_ard_3-2-1_090087_2022-10-20_final
2022-12-28 10:29:40	ga_ls8c_ard_3-2-1_102071_2022-12-28_final
2023-01-23 09:28:12	ga_ls8c_ard_3-2-1_092072_2023-01-22_final
2023-01-24 10:11:05	ga_ls8c_ard_3-2-1_099071_2023-01-24_final
2023-01-30 11:12:07	ga_ls8c_ard_3-2-1_109069_2023-01-30_final
2023-03-10 09:39:48	ga_ls8c_ard_3-2-1_094071_2023-03-10_final
2023-03-20 11:58:29	ga_ls8c_ard_3-2-1_116078_2023-03-20_final
2023-04-02 09:46:34	ga_ls8c_ard_3-2-1_095073_2023-04-02_final
2023-04-04 11:13:51	ga_ls8c_ard_3-2-1_109075_2023-04-04_final
2023-04-19 10:32:46	ga_ls8c_ard_3-2-1_102081_2023-04-19_final
2023-06-11 10:48:26	ga_ls8c_ard_3-2-1_105074_2023-06-11_final
2023-06-18 10:52:15	ga_ls8c_ard_3-2-1_106068_2023-06-18_final
2023-06-21 11:23:10	ga_ls8c_ard_3-2-1_111068_2023-06-21_final
2023-07-02 09:32:16	ga_ls8c_ard_3-2-1_092084_2023-07-02_final
2023-08-31 11:31:28	ga_ls8c_ard_3-2-1_112072_2023-08-31_final
2023-09-24 10:45:18	ga_ls8c_ard_3-2-1_104080_2023-09-24_final
2023-09-28 10:19:01	ga_ls8c_ard_3-2-1_100076_2023-09-28_final
2023-11-28 11:24:43	ga_ls8c_ard_3-2-1_111070_2023-11-28_final
2023-12-01 10:17:06	ga_ls8c_ard_3-2-1_100071_2023-12-01_final
2023-12-26 11:52:36	ga_ls8c_ard_3-2-1_115078_2023-12-26_final
2024-01-10 11:06:04	ga_ls8c_ard_3-2-1_108070_2024-01-10_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