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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

66 results

Time (local)	Label
2013-12-07 10:05:46	ga_ls8c_ard_3-0-0_098070_2013-12-07_final
2013-12-19 10:29:32	ga_ls8c_ard_3-0-0_102068_2013-12-19_final
2014-03-20 10:09:58	ga_ls8c_ard_3-0-0_099068_2014-03-20_final
2014-04-27 11:13:56	ga_ls8c_ard_3-0-0_109075_2014-04-27_final
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-10-22 09:20:19	ga_ls8c_ard_3-0-0_091068_2014-10-21_final
2014-10-25 11:30:29	ga_ls8c_ard_3-0-0_112069_2014-10-25_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-07-13 10:12:39	ga_ls8c_ard_3-0-0_099077_2015-07-13_final
2015-10-17 10:10:20	ga_ls8c_ard_3-0-0_099070_2015-10-17_final
2015-11-09 10:19:25	ga_ls8c_ard_3-0-0_100077_2015-11-09_final
2016-03-08 11:07:49	ga_ls8c_ard_3-0-0_108075_2016-03-08_final
2016-04-07 09:39:51	ga_ls8c_ard_3-0-0_094072_2016-04-07_final
2016-05-04 09:19:43	ga_ls8c_ard_3-0-0_091068_2016-05-03_final
2016-08-20 11:24:12	ga_ls8c_ard_3-0-0_111069_2016-08-20_final
2016-11-09 10:33:35	ga_ls8c_ard_3-0-0_102081_2016-11-09_final
2017-02-13 10:28:01	ga_ls8c_ard_3-0-0_102068_2017-02-13_final
2017-10-05 09:29:43	ga_ls8c_ard_3-0-0_092076_2017-10-04_final
2017-10-14 09:20:22	ga_ls8c_ard_3-0-0_091068_2017-10-13_final
2017-12-09 10:08:52	ga_ls8c_ard_3-2-1_099066_2017-12-09_final
2018-01-17 11:58:37	ga_ls8c_ard_3-0-0_116078_2018-01-17_final
2018-04-14 10:26:24	ga_ls8c_ard_3-0-0_101081_2018-04-14_final
2018-10-04 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-10-04_final
2018-12-06 09:12:49	ga_ls8c_ard_3-0-0_089081_2018-12-05_final
2018-12-29 10:53:04	ga_ls8c_ard_3-0-0_106069_2018-12-29_final
2019-01-18 10:33:05	ga_ls8c_ard_3-0-0_102081_2019-01-18_final
2019-02-11 09:45:58	ga_ls8c_ard_3-0-0_094087_2019-02-11_final
2019-04-18 09:34:05	ga_ls8c_ard_3-1-0_092089_2019-04-18_final
2019-09-20 10:50:06	ga_ls8c_ard_3-1-0_105076_2019-09-20_final
2019-10-22 10:47:00	ga_ls8c_ard_3-1-0_105068_2019-10-22_final
2020-01-17 10:55:45	ga_ls8c_ard_3-1-0_106075_2020-01-17_final
2020-06-10 09:56:46	ga_ls8c_ard_3-1-0_097068_2020-06-10_final
2020-07-11 09:20:08	ga_ls8c_ard_3-1-0_090084_2020-07-10_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-08-29 09:56:54	ga_ls8c_ard_3-1-0_097067_2020-08-29_final
2020-09-02 11:13:53	ga_ls8c_ard_3-1-0_109074_2020-09-02_final
2020-10-11 09:46:09	ga_ls8c_ard_3-1-0_094086_2020-10-11_final
2020-12-02 10:52:44	ga_ls8c_ard_3-1-0_106067_2020-12-02_final
2021-01-28 09:11:27	ga_ls8c_ard_3-2-0_089077_2021-01-27_final
2021-01-28 10:47:33	ga_ls8c_ard_3-2-0_105070_2021-01-28_final
2021-04-22 10:22:43	ga_ls8c_ard_3-2-0_101071_2021-04-22_final
2021-06-28 10:52:41	ga_ls8c_ard_3-2-0_106068_2021-06-28_final
2021-07-19 11:13:40	ga_ls8c_ard_3-2-0_109074_2021-07-19_final
2021-07-28 09:33:28	ga_ls8c_ard_3-2-0_092086_2021-07-28_final
2021-08-01 09:06:47	ga_ls8c_ard_3-2-0_088081_2021-07-31_final
2021-09-25 09:12:02	ga_ls8c_ard_3-2-0_089078_2021-09-24_final
2021-09-28 11:20:14	ga_ls8c_ard_3-2-0_110074_2021-09-28_final
2021-11-04 09:57:59	ga_ls8c_ard_3-2-0_097069_2021-11-04_final
2022-02-07 09:17:13	ga_ls8c_ard_3-2-1_090076_2022-02-06_final
2022-05-10 11:20:12	ga_ls8c_ard_3-2-1_110075_2022-05-10_final
2022-05-21 09:22:02	ga_ls8c_ard_3-2-1_091073_2022-05-20_final
2022-05-23 09:11:39	ga_ls8c_ard_3-2-1_089078_2022-05-22_final
2022-06-11 11:18:02	ga_ls8c_ard_3-2-1_110069_2022-06-11_final
2022-08-17 10:09:16	ga_ls8c_ard_3-2-1_099066_2022-08-17_final
2022-09-18 10:13:46	ga_ls8c_ard_3-2-1_099077_2022-09-18_final
2023-06-26 10:06:52	ga_ls8c_ard_3-2-1_098078_2023-06-26_final
2023-07-04 10:58:25	ga_ls8c_ard_3-2-1_106083_2023-07-04_final
2023-07-13 09:10:13	ga_ls8c_ard_3-2-1_089075_2023-07-12_final
2023-07-28 10:07:09	ga_ls8c_ard_3-2-1_098078_2023-07-28_final
2023-10-04 11:20:01	ga_ls8c_ard_3-2-1_110074_2023-10-04_final
2023-10-26 09:06:56	ga_ls8c_ard_3-2-1_088081_2023-10-25_final
2023-12-04 09:11:28	ga_ls8c_ard_3-2-1_089077_2023-12-03_final
2024-01-01 09:33:46	ga_ls8c_ard_3-2-1_093071_2024-01-01_final
2024-01-05 10:46:40	ga_ls8c_ard_3-2-1_105068_2024-01-05_final
2024-03-25 09:15:46	ga_ls8c_ard_3-2-1_089089_2024-03-24_final
2024-04-17 09:16:36	ga_ls8c_ard_3-2-1_090076_2024-04-16_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