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
2013-06-16 11:33:26	ga_ls8c_ard_3-0-0_112072_2013-06-16_final
2013-07-04 09:40:12	ga_ls8c_ard_3-0-0_094067_2013-07-04_final
2014-01-05 11:13:05	ga_ls8c_ard_3-0-0_109069_2014-01-05_final
2014-03-17 09:38:43	ga_ls8c_ard_3-0-0_094067_2014-03-17_final
2014-04-18 11:17:50	ga_ls8c_ard_3-0-0_110069_2014-04-18_final
2014-06-05 11:17:57	ga_ls8c_ard_3-0-0_110070_2014-06-05_final
2014-07-23 11:16:59	ga_ls8c_ard_3-0-0_110067_2014-07-23_final
2014-10-17 09:07:22	ga_ls8c_ard_3-0-0_088082_2014-10-16_final
2014-11-30 11:06:09	ga_ls8c_ard_3-0-0_108070_2014-11-30_final
2015-05-23 11:17:22	ga_ls8c_ard_3-0-0_110070_2015-05-23_final
2015-07-12 11:10:16	ga_ls8c_ard_3-0-0_108082_2015-07-12_final
2016-01-20 11:09:38	ga_ls8c_ard_3-0-0_108079_2016-01-20_final
2016-03-03 10:46:54	ga_ls8c_ard_3-0-0_105069_2016-03-03_final
2016-04-21 11:30:12	ga_ls8c_ard_3-0-0_112070_2016-04-21_final
2016-04-21 11:31:00	ga_ls8c_ard_3-0-0_112072_2016-04-21_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-09-21 11:25:55	ga_ls8c_ard_3-0-0_111073_2016-09-21_final
2016-10-16 09:40:57	ga_ls8c_ard_3-0-0_094073_2016-10-16_final
2016-11-30 10:49:44	ga_ls8c_ard_3-0-0_105075_2016-11-30_final
2017-01-11 11:25:28	ga_ls8c_ard_3-0-0_111072_2017-01-11_final
2017-03-31 09:06:43	ga_ls8c_ard_3-0-0_088082_2017-03-30_final
2017-11-10 09:07:24	ga_ls8c_ard_3-0-0_088082_2017-11-09_final
2018-02-06 11:30:31	ga_ls8c_ard_3-0-0_112070_2018-02-06_final
2018-02-28 10:52:54	ga_ls8c_ard_3-0-0_106069_2018-02-28_final
2018-03-15 11:52:22	ga_ls8c_ard_3-0-0_115079_2018-03-15_final
2018-06-23 11:23:04	ga_ls8c_ard_3-0-0_111069_2018-06-23_final
2018-06-23 11:23:28	ga_ls8c_ard_3-0-0_111070_2018-06-23_final
2018-07-02 11:16:58	ga_ls8c_ard_3-0-0_110069_2018-07-02_final
2018-08-26 09:45:07	ga_ls8c_ard_3-0-0_095070_2018-08-26_final
2018-10-04 11:35:37	ga_ls8c_ard_3-0-0_112083_2018-10-04_final
2018-10-15 11:13:34	ga_ls8c_ard_3-0-0_109074_2018-10-15_final
2018-11-21 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-21_final
2019-03-05 10:45:41	ga_ls8c_ard_3-0-0_104082_2019-03-05_final
2019-03-13 11:33:52	ga_ls8c_ard_3-1-0_112079_2019-03-13_final
2019-05-18 09:39:25	ga_ls8c_ard_3-0-0_094071_2019-05-18_final
2019-05-31 10:49:31	ga_ls8c_ard_3-0-0_105076_2019-05-31_final
2019-07-23 11:11:31	ga_ls8c_ard_3-1-0_108084_2019-07-23_final
2019-09-16 11:14:00	ga_ls8c_ard_3-1-0_109074_2019-09-16_final
2019-09-23 09:40:32	ga_ls8c_ard_3-1-0_094072_2019-09-23_final
2019-09-30 11:26:02	ga_ls8c_ard_3-1-0_111073_2019-09-30_final
2019-10-29 10:53:35	ga_ls8c_ard_3-1-0_106069_2019-10-29_final
2019-11-07 10:49:47	ga_ls8c_ard_3-1-0_105075_2019-11-07_final
2020-02-18 10:53:13	ga_ls8c_ard_3-1-0_106069_2020-02-18_final
2020-06-28 11:24:15	ga_ls8c_ard_3-1-0_111070_2020-06-28_final
2020-09-16 11:25:56	ga_ls8c_ard_3-1-0_111073_2020-09-16_final
2020-09-18 11:17:35	ga_ls8c_ard_3-1-0_109083_2020-09-18_final
2020-10-11 11:18:15	ga_ls8c_ard_3-1-0_110069_2020-10-11_final
2021-04-25 09:17:06	ga_ls8c_ard_3-2-0_090077_2021-04-24_final
2021-05-09 09:33:22	ga_ls8c_ard_3-2-0_092087_2021-05-09_final
2021-05-16 09:40:01	ga_ls8c_ard_3-2-0_093088_2021-05-16_final
2021-06-06 11:30:27	ga_ls8c_ard_3-2-0_112070_2021-06-06_final
2021-06-17 09:33:29	ga_ls8c_ard_3-2-0_093071_2021-06-17_final
2021-07-20 11:57:44	ga_ls8c_ard_3-2-0_116076_2021-07-20_final
2021-07-29 10:09:10	ga_ls8c_ard_3-2-0_099067_2021-07-29_final
2021-08-15 09:17:15	ga_ls8c_ard_3-2-0_090076_2021-08-14_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-09-17 11:38:44	ga_ls8c_ard_3-2-0_113074_2021-09-17_final
2021-09-21 11:14:01	ga_ls8c_ard_3-2-0_109074_2021-09-21_final
2021-09-21 11:15:13	ga_ls8c_ard_3-2-0_109077_2021-09-21_final
2021-09-26 11:30:59	ga_ls8c_ard_3-2-0_112070_2021-09-26_final
2021-10-09 09:26:52	ga_ls8c_ard_3-2-0_091084_2021-10-08_final
2021-10-14 11:18:20	ga_ls8c_ard_3-2-0_110069_2021-10-14_final
2021-10-25 09:26:54	ga_ls8c_ard_3-2-0_091084_2021-10-24_final
2021-10-28 09:51:01	ga_ls8c_ard_3-2-0_096067_2021-10-28_final
2021-11-06 09:50:48	ga_ls8c_ard_3-2-0_095082_2021-11-06_final
2021-11-15 11:17:28	ga_ls8c_ard_3-2-0_110067_2021-11-15_final
2021-11-25 10:17:15	ga_ls8c_ard_3-2-0_100071_2021-11-25_final
2021-12-10 11:14:53	ga_ls8c_ard_3-2-1_109076_2021-12-10_final
2021-12-26 11:14:25	ga_ls8c_ard_3-2-1_109075_2021-12-26_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-02-01 11:32:24	ga_ls8c_ard_3-2-1_112074_2022-02-01_final
2022-02-05 09:33:59	ga_ls8c_ard_3-2-1_092087_2022-02-05_final
2022-02-12 09:34:32	ga_ls8c_ard_3-2-1_093073_2022-02-12_final
2022-03-02 09:22:54	ga_ls8c_ard_3-2-1_091075_2022-03-01_final
2022-04-04 10:09:29	ga_ls8c_ard_3-2-1_098084_2022-04-04_final
2022-05-12 11:07:51	ga_ls8c_ard_3-2-1_108075_2022-05-12_final
2022-06-06 09:28:08	ga_ls8c_ard_3-2-1_091088_2022-06-05_final
2022-08-14 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-08-14_final
2022-11-18 09:41:08	ga_ls8c_ard_3-2-1_094073_2022-11-18_final
2022-11-22 09:21:14	ga_ls8c_ard_3-2-1_090085_2022-11-21_final
2022-11-30 10:10:18	ga_ls8c_ard_3-2-1_098084_2022-11-30_final
2023-01-08 10:09:32	ga_ls8c_ard_3-2-1_099067_2023-01-08_final
2023-01-23 11:07:53	ga_ls8c_ard_3-2-1_108074_2023-01-23_final
2023-02-13 11:26:22	ga_ls8c_ard_3-2-1_111074_2023-02-13_final
2023-05-15 11:09:13	ga_ls8c_ard_3-2-1_108080_2023-05-15_final
2023-05-26 10:51:30	ga_ls8c_ard_3-2-1_105082_2023-05-26_final
2023-06-26 10:08:52	ga_ls8c_ard_3-2-1_098083_2023-06-26_final
2023-07-21 11:38:09	ga_ls8c_ard_3-2-1_113074_2023-07-21_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-09-01 10:35:50	ga_ls8c_ard_3-2-1_103072_2023-09-01_final
2023-10-06 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-10-06_final
2023-10-11 09:46:34	ga_ls8c_ard_3-2-1_095072_2023-10-11_final
2023-10-12 10:33:25	ga_ls8c_ard_3-2-1_102081_2023-10-12_final
2023-10-15 09:21:51	ga_ls8c_ard_3-2-1_091072_2023-10-14_final
2023-10-20 11:18:27	ga_ls8c_ard_3-2-1_110070_2023-10-20_final
2023-10-22 09:28:49	ga_ls8c_ard_3-2-1_092074_2023-10-21_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2023-12-11 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-12-10_final
2024-03-10 11:31:19	ga_ls8c_ard_3-2-1_112072_2024-03-10_final
2024-03-23 09:22:36	ga_ls8c_ard_3-2-1_091075_2024-03-22_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