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
2013-08-04 10:36:15	ga_ls8c_ard_3-0-0_103068_2013-08-04_final
2013-08-07 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-08-07_final
2013-09-22 11:25:25	ga_ls8c_ard_3-0-0_110083_2013-09-22_final
2013-10-06 09:59:16	ga_ls8c_ard_3-0-0_096084_2013-10-06_final
2013-12-08 10:48:13	ga_ls8c_ard_3-0-0_105068_2013-12-08_final
2013-12-30 10:10:33	ga_ls8c_ard_3-0-0_099067_2013-12-30_final
2014-01-05 11:19:04	ga_ls8c_ard_3-0-0_109084_2014-01-05_final
2014-02-15 09:29:30	ga_ls8c_ard_3-0-0_092074_2014-02-14_final
2014-04-18 11:17:50	ga_ls8c_ard_3-0-0_110069_2014-04-18_final
2014-09-26 10:25:58	ga_ls8c_ard_3-0-0_101078_2014-09-26_final
2014-10-18 09:46:38	ga_ls8c_ard_3-0-0_095072_2014-10-18_final
2015-03-05 10:27:36	ga_ls8c_ard_3-0-0_101083_2015-03-05_final
2015-05-15 10:32:15	ga_ls8c_ard_3-0-0_102081_2015-05-15_final
2015-08-30 10:13:19	ga_ls8c_ard_3-0-0_099078_2015-08-30_final
2015-09-22 10:16:53	ga_ls8c_ard_3-0-0_100071_2015-09-22_final
2015-11-17 09:27:59	ga_ls8c_ard_3-0-0_092072_2015-11-16_final
2015-12-15 11:31:36	ga_ls8c_ard_3-0-0_112072_2015-12-15_final
2016-01-25 11:24:34	ga_ls8c_ard_3-0-0_111070_2016-01-25_final
2016-05-27 09:25:54	ga_ls8c_ard_3-0-0_092068_2016-05-26_final
2016-06-15 10:01:39	ga_ls8c_ard_3-0-0_097080_2016-06-15_final
2016-07-09 10:49:19	ga_ls8c_ard_3-0-0_105075_2016-07-09_final
2016-08-29 09:38:24	ga_ls8c_ard_3-0-0_094067_2016-08-29_final
2016-09-16 09:32:53	ga_ls8c_ard_3-0-0_092084_2016-09-16_final
2016-09-16 09:33:41	ga_ls8c_ard_3-0-0_092086_2016-09-16_final
2016-09-30 09:46:02	ga_ls8c_ard_3-0-0_094086_2016-09-30_final
2016-10-22 10:46:22	ga_ls8c_ard_3-0-0_104082_2016-10-22_final
2016-10-30 09:50:56	ga_ls8c_ard_3-0-0_096067_2016-10-30_final
2016-11-14 09:10:27	ga_ls8c_ard_3-0-0_089074_2016-11-13_final
2016-11-15 11:32:12	ga_ls8c_ard_3-0-0_112073_2016-11-15_final
2016-11-19 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-11-18_final
2016-12-23 10:56:37	ga_ls8c_ard_3-0-0_106077_2016-12-23_final
2017-01-16 10:04:42	ga_ls8c_ard_3-1-0_098071_2017-01-16_final
2017-01-24 09:17:12	ga_ls8c_ard_3-0-0_090076_2017-01-23_final
2017-02-12 11:24:26	ga_ls8c_ard_3-0-0_111070_2017-02-12_final
2017-02-21 09:38:08	ga_ls8c_ard_3-0-0_094067_2017-02-21_final
2017-03-05 11:41:39	ga_ls8c_ard_3-0-0_114067_2017-03-05_final
2017-03-12 10:10:05	ga_ls8c_ard_3-0-0_099070_2017-03-12_final
2017-06-04 09:44:02	ga_ls8c_ard_3-0-0_095067_2017-06-04_final
2017-06-24 09:27:25	ga_ls8c_ard_3-0-0_091087_2017-06-23_final
2017-07-06 09:44:12	ga_ls8c_ard_3-0-0_095067_2017-07-06_final
2017-08-13 09:10:33	ga_ls8c_ard_3-0-0_089075_2017-08-12_final
2017-08-18 11:08:00	ga_ls8c_ard_3-0-0_108075_2017-08-18_final
2017-09-14 09:10:37	ga_ls8c_ard_3-0-0_089075_2017-09-13_final
2017-11-01 09:16:00	ga_ls8c_ard_3-0-0_089088_2017-10-31_final
2017-11-20 09:41:38	ga_ls8c_ard_3-0-0_094075_2017-11-20_final
2017-11-24 09:17:17	ga_ls8c_ard_3-0-0_090076_2017-11-23_final
2017-12-06 09:40:22	ga_ls8c_ard_3-0-0_094072_2017-12-06_final
2018-01-14 11:28:56	ga_ls8c_ard_3-0-0_111081_2018-01-14_final
2018-02-19 09:21:52	ga_ls8c_ard_3-0-0_091073_2018-02-18_final
2018-02-21 10:49:10	ga_ls8c_ard_3-0-0_105075_2018-02-21_final
2018-07-05 10:08:13	ga_ls8c_ard_3-0-0_099067_2018-07-05_final
2018-08-30 09:28:24	ga_ls8c_ard_3-0-0_091090_2018-08-29_final
2018-10-28 10:45:55	ga_ls8c_ard_3-0-0_104082_2018-10-28_final
2018-11-16 11:13:40	ga_ls8c_ard_3-0-0_109074_2018-11-16_final
2018-11-25 09:28:35	ga_ls8c_ard_3-0-0_092074_2018-11-24_final
2018-12-10 10:26:34	ga_ls8c_ard_3-0-0_101080_2018-12-10_final
2018-12-29 10:58:39	ga_ls8c_ard_3-0-0_106083_2018-12-29_final
2019-03-04 09:57:38	ga_ls8c_ard_3-0-0_097070_2019-03-04_final
2019-04-16 09:40:29	ga_ls8c_ard_3-1-0_094074_2019-04-16_final
2019-05-16 09:56:57	ga_ls8c_ard_3-0-0_096084_2019-05-16_final
2019-06-07 10:55:21	ga_ls8c_ard_3-0-0_106075_2019-06-07_final
2019-06-28 09:34:44	ga_ls8c_ard_3-1-0_093074_2019-06-28_final
2019-10-01 10:28:25	ga_ls8c_ard_3-1-0_102068_2019-10-01_final
2019-10-22 09:15:18	ga_ls8c_ard_3-1-0_089086_2019-10-21_final
2019-10-29 09:17:30	ga_ls8c_ard_3-1-0_090076_2019-10-28_final
2019-11-21 11:01:41	ga_ls8c_ard_3-1-0_107074_2019-11-21_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-03-03 09:28:37	ga_ls8c_ard_3-1-0_092074_2020-03-02_final
2020-04-21 10:09:05	ga_ls8c_ard_3-1-0_099068_2020-04-21_final
2020-08-01 11:14:28	ga_ls8c_ard_3-1-0_109076_2020-08-01_final
2020-08-28 10:53:19	ga_ls8c_ard_3-1-0_106069_2020-08-28_final
2020-10-20 09:33:59	ga_ls8c_ard_3-1-0_093071_2020-10-20_final
2020-11-26 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-11-26_final
2021-01-01 09:29:20	ga_ls8c_ard_3-2-0_092075_2020-12-31_final
2021-01-28 10:52:20	ga_ls8c_ard_3-2-0_105082_2021-01-28_final
2021-02-06 10:46:08	ga_ls8c_ard_3-2-0_104082_2021-02-06_final
2021-07-24 11:30:16	ga_ls8c_ard_3-2-0_112069_2021-07-24_final
2021-09-12 09:44:53	ga_ls8c_ard_3-2-0_094083_2021-09-12_final
2021-11-06 09:47:13	ga_ls8c_ard_3-2-0_095073_2021-11-06_final
2022-01-21 10:09:19	ga_ls8c_ard_3-2-1_099067_2022-01-21_final
2022-05-23 09:13:39	ga_ls8c_ard_3-2-1_089083_2022-05-22_final
2022-06-10 10:39:33	ga_ls8c_ard_3-2-1_103081_2022-06-10_final
2022-08-05 11:24:33	ga_ls8c_ard_3-2-1_111069_2022-08-05_final
2022-09-19 09:21:20	ga_ls8c_ard_3-2-1_090085_2022-09-18_final
2022-09-28 09:11:10	ga_ls8c_ard_3-2-1_089075_2022-09-27_final
2022-10-03 11:11:46	ga_ls8c_ard_3-2-1_108083_2022-10-03_final
2022-10-28 11:02:48	ga_ls8c_ard_3-2-1_107076_2022-10-28_final
2023-02-26 10:58:50	ga_ls8c_ard_3-2-1_106083_2023-02-26_final
2023-03-20 10:18:48	ga_ls8c_ard_3-2-1_100076_2023-03-20_final
2023-04-07 10:02:36	ga_ls8c_ard_3-2-1_098067_2023-04-07_final
2023-07-03 10:09:10	ga_ls8c_ard_3-2-1_099068_2023-07-03_final
2023-08-21 10:58:45	ga_ls8c_ard_3-2-1_106083_2023-08-21_final
2023-09-05 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-09-05_final
2023-09-18 11:18:47	ga_ls8c_ard_3-2-1_110071_2023-09-18_final
2023-09-29 09:21:48	ga_ls8c_ard_3-2-1_091072_2023-09-28_final
2023-10-06 11:07:39	ga_ls8c_ard_3-2-1_108074_2023-10-06_final
2023-11-02 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-11-02_final
2023-12-25 09:28:52	ga_ls8c_ard_3-2-1_092074_2023-12-24_final
2024-01-28 09:18:18	ga_ls8c_ard_3-2-1_090079_2024-01-27_final
2024-02-08 10:39:32	ga_ls8c_ard_3-2-1_103081_2024-02-08_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years