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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
2013-10-11 10:12:12	ga_ls8c_ard_3-0-0_099070_2013-10-11_final
2014-05-11 09:44:00	ga_ls8c_ard_3-0-0_095067_2014-05-11_final
2014-05-27 09:51:32	ga_ls8c_ard_3-0-0_095086_2014-05-27_final
2015-01-02 10:09:57	ga_ls8c_ard_3-0-0_099069_2015-01-02_final
2015-01-05 10:40:28	ga_ls8c_ard_3-0-0_104068_2015-01-05_final
2015-01-27 10:10:05	ga_ls8c_ard_3-0-0_098085_2015-01-27_final
2015-02-04 09:21:25	ga_ls8c_ard_3-0-0_090087_2015-02-03_final
2015-02-08 10:33:33	ga_ls8c_ard_3-0-0_102082_2015-02-08_final
2015-03-27 09:45:06	ga_ls8c_ard_3-0-0_095070_2015-03-27_final
2015-06-05 09:09:42	ga_ls8c_ard_3-0-0_089075_2015-06-04_final
2015-06-29 09:57:44	ga_ls8c_ard_3-0-0_097071_2015-06-29_final
2015-12-12 09:21:48	ga_ls8c_ard_3-0-0_091072_2015-12-11_final
2016-01-03 10:24:46	ga_ls8c_ard_3-0-0_101075_2016-01-03_final
2016-01-15 10:47:53	ga_ls8c_ard_3-0-0_105071_2016-01-15_final
2016-02-15 10:09:40	ga_ls8c_ard_3-0-0_098084_2016-02-15_final
2016-08-25 10:03:29	ga_ls8c_ard_3-0-0_098068_2016-08-25_final
2016-12-16 09:11:35	ga_ls8c_ard_3-0-0_089077_2016-12-15_final
2017-02-12 11:26:02	ga_ls8c_ard_3-0-0_111074_2017-02-12_final
2017-04-21 11:03:09	ga_ls8c_ard_3-0-0_107080_2017-04-21_final
2017-05-26 11:31:49	ga_ls8c_ard_3-0-0_112074_2017-05-26_final
2017-09-01 09:38:20	ga_ls8c_ard_3-0-0_094067_2017-09-01_final
2017-12-18 10:04:20	ga_ls8c_ard_3-0-0_098070_2017-12-18_final
2017-12-24 09:34:50	ga_ls8c_ard_3-0-0_092089_2017-12-24_final
2018-07-28 10:19:21	ga_ls8c_ard_3-0-0_100079_2018-07-28_final
2018-09-17 09:10:57	ga_ls8c_ard_3-0-0_089077_2018-09-16_final
2019-01-18 10:28:41	ga_ls8c_ard_3-0-0_102070_2019-01-18_final
2019-01-20 10:16:43	ga_ls8c_ard_3-0-0_100071_2019-01-20_final
2019-02-24 09:11:25	ga_ls8c_ard_3-0-0_089078_2019-02-23_final
2019-07-18 10:48:57	ga_ls8c_ard_3-1-0_105074_2019-07-18_final
2019-08-13 11:26:13	ga_ls8c_ard_3-1-0_111074_2019-08-13_final
2019-08-25 10:10:06	ga_ls8c_ard_3-1-0_099069_2019-08-25_final
2019-09-22 10:39:45	ga_ls8c_ard_3-1-0_103081_2019-09-22_final
2019-11-05 11:05:44	ga_ls8c_ard_3-1-0_107084_2019-11-05_final
2020-05-22 09:33:17	ga_ls8c_ard_3-1-0_092087_2020-05-22_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-12-02 09:21:50	ga_ls8c_ard_3-1-0_090087_2020-12-01_final
2020-12-29 10:36:32	ga_ls8c_ard_3-2-0_103073_2020-12-29_final
2021-02-05 09:58:29	ga_ls8c_ard_3-2-0_097071_2021-02-05_final
2021-03-07 10:09:52	ga_ls8c_ard_3-2-0_099069_2021-03-07_final
2021-03-16 10:03:35	ga_ls8c_ard_3-2-0_098069_2021-03-16_final
2021-04-11 09:06:27	ga_ls8c_ard_3-2-0_088081_2021-04-10_final
2021-05-12 09:59:07	ga_ls8c_ard_3-2-0_097074_2021-05-12_final
2021-06-26 09:33:20	ga_ls8c_ard_3-2-0_092086_2021-06-26_final
2021-08-18 11:24:15	ga_ls8c_ard_3-2-0_111069_2021-08-18_final
2022-01-15 10:50:01	ga_ls8c_ard_3-2-1_105076_2022-01-15_final
2022-01-23 09:58:08	ga_ls8c_ard_3-2-1_097070_2022-01-23_final
2022-01-28 10:19:02	ga_ls8c_ard_3-2-1_100076_2022-01-28_final
2022-03-07 11:23:54	ga_ls8c_ard_3-2-1_110084_2022-03-07_final
2022-03-15 10:30:00	ga_ls8c_ard_3-2-1_102073_2022-03-15_final
2022-09-17 09:30:06	ga_ls8c_ard_3-2-1_092076_2022-09-17_final
2023-01-08 10:10:19	ga_ls8c_ard_3-2-1_099069_2023-01-08_final
2023-01-10 10:03:08	ga_ls8c_ard_3-2-1_097082_2023-01-10_final
2023-05-06 09:38:39	ga_ls8c_ard_3-2-1_093085_2023-05-06_final
2023-06-07 11:13:55	ga_ls8c_ard_3-2-1_109076_2023-06-07_final
2023-06-11 09:14:20	ga_ls8c_ard_3-2-1_089086_2023-06-10_final
2023-06-30 11:19:30	ga_ls8c_ard_3-2-1_110074_2023-06-30_final
2023-07-03 10:13:57	ga_ls8c_ard_3-2-1_099080_2023-07-03_final
2023-09-06 09:21:27	ga_ls8c_ard_3-2-1_090087_2023-09-05_final
2023-11-18 09:16:20	ga_ls8c_ard_3-2-1_089089_2023-11-17_final
2023-11-21 09:40:04	ga_ls8c_ard_3-2-1_094071_2023-11-21_final
2024-01-10 09:28:46	ga_ls8c_ard_3-2-1_092074_2024-01-09_final
2024-02-05 10:04:14	ga_ls8c_ard_3-2-1_098070_2024-02-05_final
2024-02-13 09:17:35	ga_ls8c_ard_3-2-1_090077_2024-02-12_final
2024-02-27 11:11:09	ga_ls8c_ard_3-2-1_108083_2024-02-27_final
2024-03-06 10:19:11	ga_ls8c_ard_3-2-1_100077_2024-03-06_final
2024-04-04 11:24:06	ga_ls8c_ard_3-2-1_111070_2024-04-04_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