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
2013-04-18 10:12:32	ga_ls8c_ard_3-0-0_099071_2013-04-18_final
2013-05-11 10:18:49	ga_ls8c_ard_3-0-0_100071_2013-05-11_final
2013-12-05 10:23:43	ga_ls8c_ard_3-0-0_100084_2013-12-05_final
2014-03-20 10:13:57	ga_ls8c_ard_3-0-0_099078_2014-03-20_final
2014-06-24 10:10:02	ga_ls8c_ard_3-0-0_099070_2014-06-24_final
2014-07-24 10:26:57	ga_ls8c_ard_3-0-0_101081_2014-07-24_final
2014-08-15 11:24:09	ga_ls8c_ard_3-0-0_111069_2014-08-15_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2015-02-18 11:07:45	ga_ls8c_ard_3-0-0_108075_2015-02-18_final
2015-04-10 11:40:37	ga_ls8c_ard_3-0-0_113081_2015-04-10_final
2015-04-20 10:39:12	ga_ls8c_ard_3-0-0_103082_2015-04-20_final
2015-06-05 09:11:17	ga_ls8c_ard_3-0-0_089079_2015-06-04_final
2015-06-12 10:52:03	ga_ls8c_ard_3-0-0_106068_2015-06-12_final
2015-10-12 09:50:36	ga_ls8c_ard_3-0-0_096067_2015-10-12_final
2015-11-13 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-11-13_final
2016-01-19 10:25:34	ga_ls8c_ard_3-0-0_101077_2016-01-19_final
2016-01-25 11:28:57	ga_ls8c_ard_3-0-0_111081_2016-01-25_final
2016-02-28 09:39:55	ga_ls8c_ard_3-0-0_093087_2016-02-28_final
2016-03-22 09:39:35	ga_ls8c_ard_3-0-0_094071_2016-03-22_final
2016-04-09 11:09:10	ga_ls8c_ard_3-0-0_108079_2016-04-09_final
2016-05-27 11:07:35	ga_ls8c_ard_3-0-0_108075_2016-05-27_final
2016-06-21 09:28:13	ga_ls8c_ard_3-0-0_091089_2016-06-20_final
2016-07-09 09:10:26	ga_ls8c_ard_3-0-0_089075_2016-07-08_final
2016-09-09 09:25:53	ga_ls8c_ard_3-0-0_091082_2016-09-08_final
2016-10-31 10:36:12	ga_ls8c_ard_3-0-0_103072_2016-10-31_final
2017-01-13 11:12:42	ga_ls8c_ard_3-0-0_109071_2017-01-13_final
2017-01-24 09:17:12	ga_ls8c_ard_3-0-0_090076_2017-01-23_final
2017-03-01 10:33:07	ga_ls8c_ard_3-0-0_102081_2017-03-01_final
2017-04-30 09:16:23	ga_ls8c_ard_3-0-0_090076_2017-04-29_final
2017-05-28 11:16:41	ga_ls8c_ard_3-0-0_110067_2017-05-28_final
2017-09-21 09:17:40	ga_ls8c_ard_3-0-0_090077_2017-09-20_final
2017-10-19 11:18:13	ga_ls8c_ard_3-0-0_110069_2017-10-19_final
2017-12-04 11:31:37	ga_ls8c_ard_3-0-0_112072_2017-12-04_final
2017-12-08 11:08:05	ga_ls8c_ard_3-0-0_108075_2017-12-08_final
2017-12-28 10:46:11	ga_ls8c_ard_3-0-0_104082_2017-12-28_final
2018-01-21 09:58:10	ga_ls8c_ard_3-0-0_096086_2018-01-21_final
2018-01-25 09:27:49	ga_ls8c_ard_3-0-0_092072_2018-01-24_final
2018-03-28 11:17:23	ga_ls8c_ard_3-0-0_110069_2018-03-28_final
2018-04-16 10:09:38	ga_ls8c_ard_3-0-0_099070_2018-04-16_final
2018-05-18 10:12:54	ga_ls8c_ard_3-0-0_099079_2018-05-18_final
2018-05-24 11:13:01	ga_ls8c_ard_3-1-0_109075_2018-05-24_final
2018-07-28 10:18:57	ga_ls8c_ard_3-0-0_100078_2018-07-28_final
2018-12-19 10:16:47	ga_ls8c_ard_3-0-0_100071_2018-12-19_final
2019-02-27 11:18:00	ga_ls8c_ard_3-0-0_110070_2019-02-27_final
2019-05-09 09:43:55	ga_ls8c_ard_3-0-0_095067_2019-05-09_final
2019-05-18 09:37:50	ga_ls8c_ard_3-0-0_094067_2019-05-18_final
2019-07-09 10:55:31	ga_ls8c_ard_3-1-0_106075_2019-07-09_final
2019-07-10 11:37:35	ga_ls8c_ard_3-1-0_113072_2019-07-10_final
2019-07-18 10:49:45	ga_ls8c_ard_3-1-0_105076_2019-07-18_final
2019-07-24 11:52:24	ga_ls8c_ard_3-1-0_115078_2019-07-24_final
2019-07-26 10:01:34	ga_ls8c_ard_3-1-0_097079_2019-07-26_final
2019-09-04 10:49:13	ga_ls8c_ard_3-1-0_105074_2019-09-04_final
2019-10-25 11:18:18	ga_ls8c_ard_3-1-0_110069_2019-10-25_final
2019-10-26 10:28:16	ga_ls8c_ard_3-1-0_101083_2019-10-26_final
2019-12-09 10:49:43	ga_ls8c_ard_3-1-0_105075_2019-12-09_final
2020-01-09 10:09:56	ga_ls8c_ard_3-1-0_098084_2020-01-09_final
2020-01-31 11:05:39	ga_ls8c_ard_3-1-0_108069_2020-01-31_final
2020-02-07 09:37:41	ga_ls8c_ard_3-1-0_093081_2020-02-07_final
2020-02-20 10:46:02	ga_ls8c_ard_3-1-0_104082_2020-02-20_final
2020-02-21 11:24:30	ga_ls8c_ard_3-1-0_111070_2020-02-21_final
2020-03-10 09:34:20	ga_ls8c_ard_3-1-0_093073_2020-03-10_final
2020-03-31 09:57:53	ga_ls8c_ard_3-1-0_096086_2020-03-31_final
2020-06-19 09:51:04	ga_ls8c_ard_3-1-0_096069_2020-06-19_final
2020-08-27 11:51:19	ga_ls8c_ard_3-1-0_115075_2020-08-27_final
2020-09-07 11:30:52	ga_ls8c_ard_3-1-0_112070_2020-09-07_final
2020-09-26 10:28:10	ga_ls8c_ard_3-1-0_101083_2020-09-26_final
2020-10-31 10:53:30	ga_ls8c_ard_3-1-0_106069_2020-10-31_final
2020-11-20 10:28:23	ga_ls8c_ard_3-1-0_102068_2020-11-20_final
2020-12-26 10:06:03	ga_ls8c_ard_3-2-0_098074_2020-12-26_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-03-29 11:14:19	ga_ls8c_ard_3-2-0_109076_2021-03-29_final
2021-06-04 10:07:06	ga_ls8c_ard_3-2-0_098078_2021-06-04_final
2021-06-24 11:22:34	ga_ls8c_ard_3-2-0_110081_2021-06-24_final
2021-07-10 11:19:49	ga_ls8c_ard_3-2-0_110074_2021-07-10_final
2021-08-07 10:07:26	ga_ls8c_ard_3-2-0_098078_2021-08-07_final
2021-08-11 09:41:33	ga_ls8c_ard_3-2-0_094075_2021-08-11_final
2021-09-09 10:50:04	ga_ls8c_ard_3-2-0_105076_2021-09-09_final
2021-09-17 11:37:56	ga_ls8c_ard_3-2-0_113072_2021-09-17_final
2021-10-10 10:10:08	ga_ls8c_ard_3-2-0_098084_2021-10-10_final
2021-10-26 10:04:59	ga_ls8c_ard_3-2-0_098071_2021-10-26_final
2021-11-06 09:44:49	ga_ls8c_ard_3-2-0_095067_2021-11-06_final
2021-11-17 09:29:00	ga_ls8c_ard_3-2-0_092074_2021-11-16_final
2021-11-22 09:44:45	ga_ls8c_ard_3-2-0_095067_2021-11-22_final
2022-08-27 10:49:32	ga_ls8c_ard_3-2-1_105074_2022-08-27_final
2022-09-06 11:29:50	ga_ls8c_ard_3-2-1_111082_2022-09-06_final
2022-09-20 10:01:48	ga_ls8c_ard_3-2-1_097078_2022-09-20_final
2022-09-25 10:17:57	ga_ls8c_ard_3-2-1_100072_2022-09-25_final
2022-09-29 09:58:25	ga_ls8c_ard_3-2-1_096085_2022-09-29_final
2022-10-01 11:22:56	ga_ls8c_ard_3-2-1_110080_2022-10-01_final
2022-10-18 10:24:02	ga_ls8c_ard_3-2-1_101072_2022-10-18_final
2022-11-25 11:25:02	ga_ls8c_ard_3-2-1_111070_2022-11-25_final
2023-01-23 11:08:17	ga_ls8c_ard_3-2-1_108075_2023-01-23_final
2023-02-06 11:24:16	ga_ls8c_ard_3-2-1_110084_2023-02-06_final
2023-03-01 11:24:57	ga_ls8c_ard_3-2-1_111071_2023-03-01_final
2023-06-14 11:19:21	ga_ls8c_ard_3-2-1_110074_2023-06-14_final
2023-07-03 10:08:22	ga_ls8c_ard_3-2-1_099066_2023-07-03_final
2023-07-18 09:27:34	ga_ls8c_ard_3-2-1_092072_2023-07-17_final
2023-08-12 09:27:32	ga_ls8c_ard_3-2-1_091087_2023-08-11_final
2023-11-12 09:46:09	ga_ls8c_ard_3-2-1_095071_2023-11-12_final
2023-11-26 09:58:37	ga_ls8c_ard_3-2-1_097071_2023-11-26_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