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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

70 results

Time (local)	Label
2013-09-01 09:24:08	ga_ls8c_ard_3-0-0_091073_2013-08-31_final
2013-09-13 11:31:16	ga_ls8c_ard_3-0-0_111082_2013-09-13_final
2014-04-15 09:11:41	ga_ls8c_ard_3-0-0_089078_2014-04-14_final
2014-07-17 10:18:22	ga_ls8c_ard_3-0-0_100075_2014-07-17_final
2014-07-31 10:33:37	ga_ls8c_ard_3-0-0_102082_2014-07-31_final
2014-10-14 10:13:45	ga_ls8c_ard_3-0-0_099078_2014-10-14_final
2014-11-15 10:13:44	ga_ls8c_ard_3-0-0_099078_2014-11-15_final
2015-01-15 09:39:51	ga_ls8c_ard_3-0-0_094071_2015-01-15_final
2015-01-17 09:27:53	ga_ls8c_ard_3-0-0_092072_2015-01-16_final
2015-05-10 10:12:11	ga_ls8c_ard_3-0-0_099077_2015-05-10_final
2015-05-11 10:57:02	ga_ls8c_ard_3-0-0_106081_2015-05-11_final
2015-07-21 09:23:16	ga_ls8c_ard_3-0-0_091077_2015-07-20_final
2015-09-10 11:30:33	ga_ls8c_ard_3-0-0_112070_2015-09-10_final
2015-11-01 11:07:15	ga_ls8c_ard_3-0-0_108073_2015-11-01_final
2015-11-08 09:34:33	ga_ls8c_ard_3-0-0_093073_2015-11-08_final
2015-12-03 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-03_final
2015-12-04 10:13:39	ga_ls8c_ard_3-0-0_099078_2015-12-04_final
2015-12-12 09:21:48	ga_ls8c_ard_3-0-0_091072_2015-12-11_final
2016-01-07 09:57:38	ga_ls8c_ard_3-0-0_097069_2016-01-07_final
2016-01-13 09:21:46	ga_ls8c_ard_3-0-0_091072_2016-01-12_final
2016-01-30 10:07:24	ga_ls8c_ard_3-0-0_098078_2016-01-30_final
2016-02-14 09:21:38	ga_ls8c_ard_3-0-0_091072_2016-02-13_final
2016-03-01 09:21:35	ga_ls8c_ard_3-0-0_091072_2016-02-29_final
2016-05-04 09:21:42	ga_ls8c_ard_3-0-0_091073_2016-05-03_final
2016-05-27 09:27:30	ga_ls8c_ard_3-0-0_092072_2016-05-26_final
2016-06-29 10:12:57	ga_ls8c_ard_3-0-0_099077_2016-06-29_final
2016-07-16 09:21:27	ga_ls8c_ard_3-0-0_090087_2016-07-15_final
2016-08-29 11:19:16	ga_ls8c_ard_3-0-0_110072_2016-08-29_final
2016-09-09 09:21:54	ga_ls8c_ard_3-0-0_091072_2016-09-08_final
2016-11-15 11:32:12	ga_ls8c_ard_3-0-0_112073_2016-11-15_final
2016-11-17 09:40:34	ga_ls8c_ard_3-0-0_094072_2016-11-17_final
2016-12-30 09:23:07	ga_ls8c_ard_3-0-0_091075_2016-12-29_final
2017-04-14 09:20:57	ga_ls8c_ard_3-0-0_090087_2017-04-13_final
2017-04-15 09:59:01	ga_ls8c_ard_3-0-0_097074_2017-04-15_final
2017-10-21 09:26:10	ga_ls8c_ard_3-0-0_092067_2017-10-20_final
2017-10-30 09:27:58	ga_ls8c_ard_3-0-0_091087_2017-10-29_final
2017-11-22 11:05:45	ga_ls8c_ard_3-0-0_108069_2017-11-22_final
2017-12-06 11:18:03	ga_ls8c_ard_3-0-0_110069_2017-12-06_final
2018-04-13 11:19:14	ga_ls8c_ard_3-0-0_110074_2018-04-13_final
2018-07-04 09:32:32	ga_ls8c_ard_3-0-0_092086_2018-07-04_final
2018-09-01 10:51:45	ga_ls8c_ard_3-0-0_105082_2018-09-01_final
2018-12-14 11:35:31	ga_ls8c_ard_3-0-0_113067_2018-12-14_final
2019-03-15 09:39:49	ga_ls8c_ard_3-1-0_094072_2019-03-15_final
2019-11-15 09:57:55	ga_ls8c_ard_3-1-0_097069_2019-11-15_final
2020-04-02 09:39:30	ga_ls8c_ard_3-1-0_094071_2020-04-02_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-09-13 10:55:25	ga_ls8c_ard_3-1-0_106074_2020-09-13_final
2020-12-27 10:49:19	ga_ls8c_ard_3-2-0_105074_2020-12-27_final
2021-02-03 10:13:39	ga_ls8c_ard_3-2-0_099078_2021-02-03_final
2021-02-19 10:13:10	ga_ls8c_ard_3-2-0_099077_2021-02-19_final
2021-03-11 09:50:17	ga_ls8c_ard_3-2-0_095082_2021-03-11_final
2021-06-12 09:22:06	ga_ls8c_ard_3-2-0_090089_2021-06-11_final
2021-06-26 09:33:44	ga_ls8c_ard_3-2-0_092087_2021-06-26_final
2022-01-13 09:21:55	ga_ls8c_ard_3-2-1_091072_2022-01-12_final
2022-02-10 11:24:36	ga_ls8c_ard_3-2-1_111070_2022-02-10_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-07-02 09:58:13	ga_ls8c_ard_3-2-1_097070_2022-07-02_final
2022-07-07 10:19:56	ga_ls8c_ard_3-2-1_100078_2022-07-07_final
2022-07-09 10:10:22	ga_ls8c_ard_3-2-1_098085_2022-07-09_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-11-30 10:03:31	ga_ls8c_ard_3-2-1_098067_2022-11-30_final
2022-12-23 11:51:59	ga_ls8c_ard_3-2-1_115076_2022-12-23_final
2023-01-10 09:59:33	ga_ls8c_ard_3-2-1_097073_2023-01-10_final
2023-01-30 11:14:30	ga_ls8c_ard_3-2-1_109075_2023-01-30_final
2023-04-30 10:10:13	ga_ls8c_ard_3-2-1_099071_2023-04-30_final
2023-05-04 09:51:26	ga_ls8c_ard_3-2-1_095086_2023-05-04_final
2023-08-26 09:40:26	ga_ls8c_ard_3-2-1_093088_2023-08-26_final
2023-09-25 11:24:35	ga_ls8c_ard_3-2-1_111070_2023-09-25_final
2023-12-07 11:18:24	ga_ls8c_ard_3-2-1_110070_2023-12-07_final
2024-03-30 09:33:27	ga_ls8c_ard_3-2-1_092087_2024-03-30_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