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
2013-07-07 10:14:42	ga_ls8c_ard_3-0-0_099076_2013-07-07_final
2013-07-22 09:35:24	ga_ls8c_ard_3-0-0_092086_2013-07-22_final
2013-07-31 09:26:52	ga_ls8c_ard_3-0-0_091080_2013-07-30_final
2013-09-08 09:36:40	ga_ls8c_ard_3-0-0_092089_2013-09-08_final
2013-12-13 09:30:38	ga_ls8c_ard_3-0-0_092075_2013-12-13_final
2014-02-21 10:34:27	ga_ls8c_ard_3-0-0_102082_2014-02-21_final
2014-04-12 10:21:45	ga_ls8c_ard_3-0-0_100083_2014-04-12_final
2014-05-07 11:50:26	ga_ls8c_ard_3-0-0_115074_2014-05-07_final
2014-06-18 09:13:49	ga_ls8c_ard_3-0-0_089084_2014-06-17_final
2014-06-21 09:39:32	ga_ls8c_ard_3-0-0_094071_2014-06-21_final
2014-07-14 09:46:40	ga_ls8c_ard_3-0-0_095073_2014-07-14_final
2014-07-19 10:07:13	ga_ls8c_ard_3-0-0_098078_2014-07-19_final
2014-08-05 09:11:43	ga_ls8c_ard_3-0-0_089078_2014-08-04_final
2014-10-23 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-10-23_final
2014-12-01 10:14:07	ga_ls8c_ard_3-0-0_099079_2014-12-01_final
2015-01-25 10:19:15	ga_ls8c_ard_3-0-0_100077_2015-01-25_final
2015-04-02 09:13:06	ga_ls8c_ard_3-0-0_089083_2015-04-01_final
2015-05-22 10:33:18	ga_ls8c_ard_3-0-0_103068_2015-05-22_final
2015-06-18 11:57:53	ga_ls8c_ard_3-0-0_116078_2015-06-18_final
2015-07-29 10:09:32	ga_ls8c_ard_3-0-0_099069_2015-07-29_final
2015-08-27 09:40:01	ga_ls8c_ard_3-0-0_094072_2015-08-27_final
2015-09-07 09:22:20	ga_ls8c_ard_3-0-0_091074_2015-09-06_final
2015-09-30 09:29:04	ga_ls8c_ard_3-0-0_092075_2015-09-29_final
2015-11-02 10:13:38	ga_ls8c_ard_3-0-0_099078_2015-11-02_final
2015-11-04 11:40:57	ga_ls8c_ard_3-0-0_113080_2015-11-04_final
2015-12-02 10:27:37	ga_ls8c_ard_3-0-0_101082_2015-12-02_final
2015-12-13 10:04:16	ga_ls8c_ard_3-0-0_098070_2015-12-13_final
2015-12-25 10:33:24	ga_ls8c_ard_3-0-0_102081_2015-12-25_final
2016-01-31 09:13:22	ga_ls8c_ard_3-0-0_089082_2016-01-30_final
2016-04-26 10:15:02	ga_ls8c_ard_3-0-0_099083_2016-04-26_final
2016-04-28 10:03:30	ga_ls8c_ard_3-0-0_097085_2016-04-28_final
2016-05-06 10:49:24	ga_ls8c_ard_3-0-0_105076_2016-05-06_final
2016-05-09 09:40:12	ga_ls8c_ard_3-0-0_094073_2016-05-09_final
2016-05-20 09:22:04	ga_ls8c_ard_3-0-0_091074_2016-05-19_final
2016-05-25 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-05-25_final
2016-06-10 09:45:06	ga_ls8c_ard_3-0-0_094085_2016-06-10_final
2016-07-30 09:35:04	ga_ls8c_ard_3-0-0_092090_2016-07-30_final
2016-12-19 09:38:29	ga_ls8c_ard_3-0-0_094067_2016-12-19_final
2017-01-13 11:12:42	ga_ls8c_ard_3-0-0_109071_2017-01-13_final
2017-01-17 09:11:28	ga_ls8c_ard_3-0-0_089077_2017-01-16_final
2017-02-08 10:10:42	ga_ls8c_ard_3-0-0_099071_2017-02-08_final
2017-02-12 11:24:02	ga_ls8c_ard_3-0-0_111069_2017-02-12_final
2017-05-26 09:56:55	ga_ls8c_ard_3-0-0_096084_2017-05-26_final
2017-05-29 10:27:27	ga_ls8c_ard_3-0-0_101083_2017-05-29_final
2017-05-31 10:13:31	ga_ls8c_ard_3-0-0_099079_2017-05-31_final
2017-08-02 11:09:31	ga_ls8c_ard_3-0-0_108079_2017-08-02_final
2017-10-26 09:51:30	ga_ls8c_ard_3-0-0_095084_2017-10-26_final
2018-05-07 10:27:11	ga_ls8c_ard_3-0-0_102068_2018-05-07_final
2018-06-27 09:22:18	ga_ls8c_ard_3-0-0_091076_2018-06-26_final
2018-08-02 10:33:33	ga_ls8c_ard_3-0-0_103068_2018-08-02_final
2018-10-05 10:35:37	ga_ls8c_ard_3-0-0_103072_2018-10-05_final
2018-10-19 09:11:35	ga_ls8c_ard_3-0-0_089078_2018-10-18_final
2018-11-25 11:05:53	ga_ls8c_ard_3-0-0_108070_2018-11-25_final
2019-02-11 09:39:59	ga_ls8c_ard_3-0-0_094072_2019-02-11_final
2019-05-20 09:28:17	ga_ls8c_ard_3-1-0_092074_2019-05-19_final
2019-10-28 11:53:12	ga_ls8c_ard_3-1-0_115079_2019-10-28_final
2019-12-09 09:12:26	ga_ls8c_ard_3-1-0_089079_2019-12-08_final
2020-02-28 11:29:27	ga_ls8c_ard_3-1-0_112067_2020-02-28_final
2020-03-01 09:40:59	ga_ls8c_ard_3-1-0_094074_2020-03-01_final
2020-03-17 09:40:52	ga_ls8c_ard_3-1-0_094074_2020-03-17_final
2020-05-15 09:28:17	ga_ls8c_ard_3-1-0_091090_2020-05-14_final
2020-08-07 10:35:49	ga_ls8c_ard_3-1-0_103072_2020-08-07_final
2020-08-12 09:19:52	ga_ls8c_ard_3-1-0_090083_2020-08-11_final
2020-09-12 10:10:57	ga_ls8c_ard_3-1-0_099071_2020-09-12_final
2020-10-08 09:14:02	ga_ls8c_ard_3-1-0_089083_2020-10-07_final
2020-12-16 09:31:24	ga_ls8c_ard_3-1-0_092080_2020-12-16_final
2021-02-14 09:57:27	ga_ls8c_ard_3-2-0_096084_2021-02-14_final
2021-04-03 09:51:57	ga_ls8c_ard_3-2-0_096071_2021-04-03_final
2021-06-05 10:48:47	ga_ls8c_ard_3-2-0_105074_2021-06-05_final
2021-06-08 11:20:06	ga_ls8c_ard_3-2-0_110075_2021-06-08_final
2021-07-01 11:25:35	ga_ls8c_ard_3-2-0_111073_2021-07-01_final
2021-08-13 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-08-13_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-08-23 10:03:56	ga_ls8c_ard_3-2-0_098069_2021-08-23_final
2021-09-25 09:12:26	ga_ls8c_ard_3-2-0_089079_2021-09-24_final
2021-10-09 09:26:52	ga_ls8c_ard_3-2-0_091084_2021-10-08_final
2021-10-17 10:13:33	ga_ls8c_ard_3-2-0_099077_2021-10-17_final
2021-10-18 09:22:43	ga_ls8c_ard_3-2-0_090089_2021-10-17_final
2021-10-19 11:38:53	ga_ls8c_ard_3-2-0_113074_2021-10-19_final
2021-12-16 10:39:47	ga_ls8c_ard_3-2-1_103081_2021-12-16_final
2022-01-13 09:28:18	ga_ls8c_ard_3-2-1_091088_2022-01-12_final
2022-03-20 09:12:00	ga_ls8c_ard_3-2-1_089079_2022-03-19_final
2022-06-16 10:01:20	ga_ls8c_ard_3-2-1_097078_2022-06-16_final
2022-09-15 09:40:27	ga_ls8c_ard_3-2-1_094071_2022-09-15_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-11-16 11:36:24	ga_ls8c_ard_3-2-1_112083_2022-11-16_final
2022-12-22 09:33:50	ga_ls8c_ard_3-2-1_092086_2022-12-22_final
2022-12-23 11:51:35	ga_ls8c_ard_3-2-1_115075_2022-12-23_final
2022-12-24 09:17:29	ga_ls8c_ard_3-2-1_090076_2022-12-23_final
2023-02-13 11:25:11	ga_ls8c_ard_3-2-1_111071_2023-02-13_final
2023-03-17 11:29:37	ga_ls8c_ard_3-2-1_111083_2023-03-17_final
2023-03-22 11:47:17	ga_ls8c_ard_3-2-1_114081_2023-03-22_final
2023-06-10 10:06:45	ga_ls8c_ard_3-2-1_098078_2023-06-10_final
2023-06-18 09:22:09	ga_ls8c_ard_3-2-1_090090_2023-06-17_final
2023-06-22 10:30:20	ga_ls8c_ard_3-2-1_102075_2023-06-22_final
2023-07-12 11:47:07	ga_ls8c_ard_3-2-1_114081_2023-07-12_final
2023-08-16 10:35:46	ga_ls8c_ard_3-2-1_103072_2023-08-16_final
2023-10-01 09:11:27	ga_ls8c_ard_3-2-1_089077_2023-09-30_final
2023-11-21 09:40:28	ga_ls8c_ard_3-2-1_094072_2023-11-21_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_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