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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

61 results

Time (local)	Label
2013-10-31 11:25:49	ga_ls8c_ard_3-0-0_111069_2013-10-31_final
2014-01-21 09:35:35	ga_ls8c_ard_3-0-0_093073_2014-01-21_final
2014-11-08 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-11-08_final
2014-11-28 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-11-28_final
2015-02-04 09:16:38	ga_ls8c_ard_3-0-0_090075_2015-02-03_final
2015-04-07 09:27:14	ga_ls8c_ard_3-0-0_092072_2015-04-06_final
2015-05-10 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-10_final
2015-11-22 09:46:33	ga_ls8c_ard_3-0-0_095072_2015-11-22_final
2015-12-04 10:11:16	ga_ls8c_ard_3-0-0_099072_2015-12-04_final
2015-12-15 09:51:31	ga_ls8c_ard_3-0-0_096069_2015-12-15_final
2016-06-05 09:22:33	ga_ls8c_ard_3-0-0_091075_2016-06-04_final
2016-07-01 09:56:37	ga_ls8c_ard_3-0-0_097067_2016-07-01_final
2016-10-26 10:19:39	ga_ls8c_ard_3-0-0_100077_2016-10-26_final
2016-11-13 10:02:53	ga_ls8c_ard_3-2-1_098066_2016-11-13_final
2017-02-15 10:19:38	ga_ls8c_ard_3-0-0_100078_2017-02-15_final
2017-02-18 10:46:32	ga_ls8c_ard_3-0-0_105068_2017-02-18_final
2017-03-02 09:34:17	ga_ls8c_ard_3-0-0_093073_2017-03-02_final
2017-05-03 11:23:46	ga_ls8c_ard_3-0-0_111070_2017-05-03_final
2017-05-08 10:09:04	ga_ls8c_ard_3-0-0_098084_2017-05-08_final
2017-06-29 09:39:36	ga_ls8c_ard_3-0-0_094071_2017-06-29_final
2018-01-07 11:18:25	ga_ls8c_ard_3-0-0_110070_2018-01-07_final
2018-06-28 10:08:46	ga_ls8c_ard_3-0-0_098084_2018-06-28_final
2018-08-14 09:21:30	ga_ls8c_ard_3-0-0_091073_2018-08-13_final
2018-11-02 09:22:00	ga_ls8c_ard_3-0-0_091073_2018-11-01_final
2019-01-03 11:17:11	ga_ls8c_ard_3-0-0_109083_2019-01-03_final
2019-01-24 11:35:39	ga_ls8c_ard_3-0-0_112083_2019-01-24_final
2019-01-29 10:09:18	ga_ls8c_ard_3-0-0_099068_2019-01-29_final
2019-03-06 09:44:04	ga_ls8c_ard_3-0-0_095067_2019-03-06_final
2019-04-25 09:33:26	ga_ls8c_ard_3-0-0_093072_2019-04-25_final
2019-06-12 11:14:20	ga_ls8c_ard_3-1-0_109076_2019-06-12_final
2019-07-12 09:44:21	ga_ls8c_ard_3-1-0_095067_2019-07-12_final
2019-08-18 10:09:29	ga_ls8c_ard_3-1-0_098083_2019-08-18_final
2019-10-16 09:44:48	ga_ls8c_ard_3-1-0_095067_2019-10-16_final
2019-11-01 09:44:48	ga_ls8c_ard_3-1-0_095067_2019-11-01_final
2019-11-14 10:55:56	ga_ls8c_ard_3-1-0_106075_2019-11-14_final
2019-11-26 09:40:33	ga_ls8c_ard_3-1-0_094072_2019-11-26_final
2019-12-31 10:14:09	ga_ls8c_ard_3-1-0_099079_2019-12-31_final
2020-01-06 09:34:15	ga_ls8c_ard_3-1-0_093072_2020-01-06_final
2020-02-09 09:21:44	ga_ls8c_ard_3-1-0_091072_2020-02-08_final
2020-03-20 10:09:45	ga_ls8c_ard_3-1-0_099069_2020-03-20_final
2020-03-24 11:25:28	ga_ls8c_ard_3-1-0_111073_2020-03-24_final
2020-04-06 10:52:27	ga_ls8c_ard_3-1-0_106068_2020-04-06_final
2020-06-09 09:16:17	ga_ls8c_ard_3-1-0_090075_2020-06-08_final
2020-08-12 10:52:46	ga_ls8c_ard_3-1-0_106068_2020-08-12_final
2020-11-21 09:34:21	ga_ls8c_ard_3-1-0_093072_2020-11-21_final
2021-01-28 10:47:09	ga_ls8c_ard_3-2-0_105069_2021-01-28_final
2021-03-13 11:13:12	ga_ls8c_ard_3-2-0_109073_2021-03-13_final
2021-07-13 10:13:02	ga_ls8c_ard_3-2-0_099077_2021-07-13_final
2021-08-04 09:34:07	ga_ls8c_ard_3-2-0_093072_2021-08-04_final
2021-11-03 09:23:06	ga_ls8c_ard_3-2-0_090090_2021-11-02_final
2021-12-05 10:53:09	ga_ls8c_ard_3-2-1_106068_2021-12-05_final
2022-02-21 09:34:41	ga_ls8c_ard_3-2-1_092089_2022-02-21_final
2022-03-23 11:18:09	ga_ls8c_ard_3-2-1_110070_2022-03-23_final
2022-07-22 09:34:21	ga_ls8c_ard_3-2-1_093072_2022-07-22_final
2022-12-07 10:13:40	ga_ls8c_ard_3-2-1_099077_2022-12-07_final
2022-12-17 10:47:04	ga_ls8c_ard_3-2-1_105068_2022-12-17_final
2023-03-26 09:39:39	ga_ls8c_ard_3-2-1_094071_2023-03-26_final
2023-08-12 09:27:32	ga_ls8c_ard_3-2-1_091087_2023-08-11_final
2023-10-27 11:23:54	ga_ls8c_ard_3-2-1_111068_2023-10-27_final
2024-01-03 09:21:47	ga_ls8c_ard_3-2-1_091072_2024-01-02_final
2024-03-16 09:17:19	ga_ls8c_ard_3-2-1_090077_2024-03-15_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