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
2013-09-02 10:05:47	ga_ls8c_ard_3-0-0_098069_2013-09-02_final
2013-10-27 11:52:56	ga_ls8c_ard_3-0-0_115075_2013-10-27_final
2013-11-15 10:47:43	ga_ls8c_ard_3-0-0_104082_2013-11-15_final
2013-11-21 10:11:45	ga_ls8c_ard_3-0-0_098085_2013-11-21_final
2014-01-05 09:35:47	ga_ls8c_ard_3-0-0_093073_2014-01-05_final
2014-04-29 09:23:03	ga_ls8c_ard_3-0-0_091076_2014-04-28_final
2014-06-07 09:28:43	ga_ls8c_ard_3-0-0_092075_2014-06-06_final
2014-06-27 10:45:44	ga_ls8c_ard_3-0-0_104082_2014-06-27_final
2014-07-07 09:38:04	ga_ls8c_ard_3-0-0_094067_2014-07-07_final
2014-08-09 10:22:43	ga_ls8c_ard_3-0-0_101070_2014-08-09_final
2014-08-20 10:07:01	ga_ls8c_ard_3-0-0_098077_2014-08-20_final
2014-12-12 09:50:39	ga_ls8c_ard_3-0-0_096067_2014-12-12_final
2015-03-27 11:22:47	ga_ls8c_ard_3-0-0_111067_2015-03-27_final
2015-05-17 10:18:19	ga_ls8c_ard_3-0-0_100077_2015-05-17_final
2015-07-04 11:56:49	ga_ls8c_ard_3-0-0_116075_2015-07-04_final
2015-07-04 11:57:13	ga_ls8c_ard_3-0-0_116076_2015-07-04_final
2015-08-11 09:37:54	ga_ls8c_ard_3-0-0_094067_2015-08-11_final
2015-08-14 10:15:37	ga_ls8c_ard_3-0-0_099084_2015-08-14_final
2015-09-26 11:32:16	ga_ls8c_ard_3-0-0_112074_2015-09-26_final
2015-10-28 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-10-28_final
2016-01-05 10:10:24	ga_ls8c_ard_3-0-0_099070_2016-01-05_final
2016-02-26 09:47:06	ga_ls8c_ard_3-0-0_095074_2016-02-26_final
2016-07-12 09:45:45	ga_ls8c_ard_3-0-0_094086_2016-07-12_final
2016-08-29 09:39:59	ga_ls8c_ard_3-0-0_094071_2016-08-29_final
2016-10-07 09:44:42	ga_ls8c_ard_3-0-0_095067_2016-10-07_final
2016-10-23 09:44:45	ga_ls8c_ard_3-0-0_095067_2016-10-23_final
2016-11-03 09:33:24	ga_ls8c_ard_3-0-0_092085_2016-11-03_final
2016-11-12 09:24:24	ga_ls8c_ard_3-0-0_091078_2016-11-11_final
2016-12-18 10:34:54	ga_ls8c_ard_3-0-0_103069_2016-12-18_final
2016-12-27 10:28:42	ga_ls8c_ard_3-0-0_102069_2016-12-27_final
2017-02-01 10:09:23	ga_ls8c_ard_3-0-0_098083_2017-02-01_final
2017-06-29 09:39:36	ga_ls8c_ard_3-0-0_094071_2017-06-29_final
2017-07-19 09:22:09	ga_ls8c_ard_3-0-0_090089_2017-07-18_final
2017-10-03 11:18:09	ga_ls8c_ard_3-0-0_110069_2017-10-03_final
2017-10-19 09:44:31	ga_ls8c_ard_3-0-0_094082_2017-10-19_final
2017-12-09 10:10:04	ga_ls8c_ard_3-0-0_099069_2017-12-09_final
2018-02-27 10:09:15	ga_ls8c_ard_3-0-0_099068_2018-02-27_final
2018-05-19 09:19:39	ga_ls8c_ard_3-0-0_090085_2018-05-18_final
2018-05-24 09:30:57	ga_ls8c_ard_3-0-0_093067_2018-05-24_final
2018-06-02 09:33:50	ga_ls8c_ard_3-0-0_092090_2018-06-02_final
2018-06-23 09:43:23	ga_ls8c_ard_3-0-0_095067_2018-06-23_final
2018-07-10 10:28:00	ga_ls8c_ard_3-0-0_102070_2018-07-10_final
2018-08-30 09:28:24	ga_ls8c_ard_3-0-0_091090_2018-08-29_final
2018-09-27 11:23:48	ga_ls8c_ard_3-0-0_111069_2018-09-27_final
2018-11-09 09:31:47	ga_ls8c_ard_3-0-0_092082_2018-11-09_final
2018-12-25 09:40:30	ga_ls8c_ard_3-0-0_094073_2018-12-25_final
2019-01-19 09:31:52	ga_ls8c_ard_3-0-0_093067_2019-01-19_final
2019-02-03 10:33:01	ga_ls8c_ard_3-0-0_102081_2019-02-03_final
2019-02-05 10:16:40	ga_ls8c_ard_3-0-0_100071_2019-02-05_final
2019-02-06 09:23:26	ga_ls8c_ard_3-0-0_091077_2019-02-05_final
2019-02-16 10:01:42	ga_ls8c_ard_3-0-0_097080_2019-02-16_final
2019-02-27 11:17:36	ga_ls8c_ard_3-0-0_110069_2019-02-27_final
2019-07-19 09:50:33	ga_ls8c_ard_3-1-0_096067_2019-07-19_final
2019-08-08 09:33:57	ga_ls8c_ard_3-1-0_092087_2019-08-08_final
2019-09-23 09:46:08	ga_ls8c_ard_3-1-0_094086_2019-09-23_final
2019-11-20 10:20:01	ga_ls8c_ard_3-1-0_100078_2019-11-20_final
2019-11-26 11:18:14	ga_ls8c_ard_3-1-0_110069_2019-11-26_final
2019-12-19 09:44:41	ga_ls8c_ard_3-2-0_095067_2019-12-19_final
2020-01-17 10:58:57	ga_ls8c_ard_3-1-0_106083_2020-01-17_final
2020-03-08 09:51:54	ga_ls8c_ard_3-1-0_095086_2020-03-08_final
2020-03-24 09:46:11	ga_ls8c_ard_3-1-0_095072_2020-03-24_final
2020-06-23 09:31:34	ga_ls8c_ard_3-1-0_092082_2020-06-23_final
2020-08-09 10:25:51	ga_ls8c_ard_3-1-0_101078_2020-08-09_final
2020-11-17 09:57:28	ga_ls8c_ard_3-1-0_097068_2020-11-17_final
2020-12-01 10:10:40	ga_ls8c_ard_3-1-0_099070_2020-12-01_final
2020-12-17 11:53:09	ga_ls8c_ard_3-2-0_115079_2020-12-17_final
2020-12-21 09:45:56	ga_ls8c_ard_3-2-0_095070_2020-12-21_final
2020-12-26 11:47:20	ga_ls8c_ard_3-2-0_114080_2020-12-26_final
2021-01-10 09:24:42	ga_ls8c_ard_3-2-0_091079_2021-01-09_final
2021-02-08 10:28:35	ga_ls8c_ard_3-2-0_102069_2021-02-08_final
2021-02-25 11:14:08	ga_ls8c_ard_3-2-0_109075_2021-02-25_final
2021-03-01 10:46:12	ga_ls8c_ard_3-2-0_105067_2021-03-01_final
2021-03-07 10:09:52	ga_ls8c_ard_3-2-0_099069_2021-03-07_final
2021-04-10 10:03:41	ga_ls8c_ard_3-2-0_097085_2021-04-10_final
2021-06-07 10:39:13	ga_ls8c_ard_3-2-0_103081_2021-06-07_final
2021-06-25 10:27:21	ga_ls8c_ard_3-2-0_101082_2021-06-25_final
2021-07-06 11:46:55	ga_ls8c_ard_3-2-0_114080_2021-07-06_final
2021-07-08 11:31:46	ga_ls8c_ard_3-2-0_112073_2021-07-08_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-08-23 10:03:32	ga_ls8c_ard_3-2-0_098068_2021-08-23_final
2021-09-02 09:07:46	ga_ls8c_ard_3-2-0_088083_2021-09-01_final
2021-09-23 09:29:10	ga_ls8c_ard_3-2-0_091090_2021-09-22_final
2021-10-17 11:53:14	ga_ls8c_ard_3-2-0_115079_2021-10-17_final
2021-12-22 09:57:29	ga_ls8c_ard_3-2-1_097068_2021-12-22_final
2022-01-01 10:39:41	ga_ls8c_ard_3-2-1_103081_2022-01-01_final
2022-05-01 09:46:11	ga_ls8c_ard_3-2-1_095072_2022-05-01_final
2022-05-08 09:58:02	ga_ls8c_ard_3-2-1_096086_2022-05-08_final
2022-06-09 09:57:53	ga_ls8c_ard_3-2-1_096085_2022-06-09_final
2022-06-22 11:05:11	ga_ls8c_ard_3-2-1_107083_2022-06-22_final
2022-07-23 11:57:43	ga_ls8c_ard_3-2-1_116075_2022-07-23_final
2022-07-23 11:58:07	ga_ls8c_ard_3-2-1_116076_2022-07-23_final
2022-08-10 10:05:02	ga_ls8c_ard_3-2-1_098071_2022-08-10_final
2022-09-24 11:14:23	ga_ls8c_ard_3-2-1_109074_2022-09-24_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-07-27 09:22:16	ga_ls8c_ard_3-2-1_091074_2023-07-26_final
2023-08-01 11:23:44	ga_ls8c_ard_3-2-1_110084_2023-08-01_final
2023-09-30 11:47:33	ga_ls8c_ard_3-2-1_114081_2023-09-30_final
2023-10-01 09:16:38	ga_ls8c_ard_3-2-1_089090_2023-09-30_final
2023-10-29 11:17:56	ga_ls8c_ard_3-2-1_109084_2023-10-29_final
2024-01-08 09:44:19	ga_ls8c_ard_3-2-1_094082_2024-01-08_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