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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

65 results

Time (local)	Label
2013-07-09 09:59:57	ga_ls8c_ard_3-0-0_097070_2013-07-09_final
2013-08-03 11:34:16	ga_ls8c_ard_3-0-0_112074_2013-08-03_final
2013-08-08 10:16:20	ga_ls8c_ard_3-0-0_099080_2013-08-08_final
2013-10-10 09:33:20	ga_ls8c_ard_3-0-0_092081_2013-10-10_final
2014-03-28 09:28:42	ga_ls8c_ard_3-0-0_091089_2014-03-27_final
2014-06-14 09:34:33	ga_ls8c_ard_3-0-0_093074_2014-06-14_final
2014-11-16 09:17:18	ga_ls8c_ard_3-0-0_090076_2014-11-15_final
2015-06-27 10:13:39	ga_ls8c_ard_3-0-0_099080_2015-06-27_final
2015-07-13 10:15:03	ga_ls8c_ard_3-0-0_099083_2015-07-13_final
2015-09-25 09:14:06	ga_ls8c_ard_3-0-0_089084_2015-09-24_final
2016-03-31 11:13:23	ga_ls8c_ard_3-0-0_109074_2016-03-31_final
2016-06-17 09:50:54	ga_ls8c_ard_3-0-0_095084_2016-06-17_final
2016-08-16 10:09:36	ga_ls8c_ard_3-0-0_099068_2016-08-16_final
2016-10-25 09:32:24	ga_ls8c_ard_3-0-0_093067_2016-10-25_final
2016-12-17 11:30:56	ga_ls8c_ard_3-0-0_112070_2016-12-17_final
2017-01-07 10:12:55	ga_ls8c_ard_3-0-0_099076_2017-01-07_final
2017-02-17 11:41:46	ga_ls8c_ard_3-0-0_114067_2017-02-17_final
2017-02-24 10:10:37	ga_ls8c_ard_3-0-0_099071_2017-02-24_final
2017-07-28 09:14:27	ga_ls8c_ard_3-0-0_089085_2017-07-27_final
2017-09-02 10:23:11	ga_ls8c_ard_3-0-0_101071_2017-09-02_final
2018-03-19 09:47:08	ga_ls8c_ard_3-0-0_095075_2018-03-19_final
2018-08-10 11:25:28	ga_ls8c_ard_3-0-0_111074_2018-08-10_final
2018-08-28 09:39:57	ga_ls8c_ard_3-0-0_093088_2018-08-28_final
2018-08-31 11:45:46	ga_ls8c_ard_3-0-0_114078_2018-08-31_final
2018-09-18 09:57:00	ga_ls8c_ard_3-0-0_096084_2018-09-18_final
2018-09-24 09:17:34	ga_ls8c_ard_3-0-0_090078_2018-09-23_final
2018-10-25 10:13:48	ga_ls8c_ard_3-0-0_099079_2018-10-25_final
2018-10-30 10:28:46	ga_ls8c_ard_3-0-0_102070_2018-10-30_final
2018-11-14 11:28:49	ga_ls8c_ard_3-0-0_111081_2018-11-14_final
2019-02-26 10:35:33	ga_ls8c_ard_3-0-0_103072_2019-02-26_final
2019-04-14 09:57:14	ga_ls8c_ard_3-1-0_096085_2019-04-14_final
2019-05-18 11:18:42	ga_ls8c_ard_3-0-0_110072_2019-05-18_final
2019-06-22 10:10:35	ga_ls8c_ard_3-1-0_099071_2019-06-22_final
2019-07-12 09:50:44	ga_ls8c_ard_3-1-0_095083_2019-07-12_final
2019-08-15 11:14:39	ga_ls8c_ard_3-1-0_109076_2019-08-15_final
2019-08-24 09:33:37	ga_ls8c_ard_3-1-0_092086_2019-08-24_final
2019-10-24 10:39:50	ga_ls8c_ard_3-1-0_103081_2019-10-24_final
2019-12-30 09:26:30	ga_ls8c_ard_3-1-0_092068_2019-12-29_final
2020-02-03 11:38:31	ga_ls8c_ard_3-1-0_113074_2020-02-03_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-10-09 09:57:42	ga_ls8c_ard_3-1-0_096084_2020-10-09_final
2020-10-18 09:46:20	ga_ls8c_ard_3-1-0_095071_2020-10-18_final
2020-10-22 09:24:49	ga_ls8c_ard_3-1-0_091079_2020-10-21_final
2020-12-14 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-12-14_final
2021-01-22 11:25:26	ga_ls8c_ard_3-2-0_111072_2021-01-22_final
2021-04-28 09:45:59	ga_ls8c_ard_3-2-0_095072_2021-04-28_final
2021-05-04 10:48:55	ga_ls8c_ard_3-2-0_105075_2021-05-04_final
2021-08-14 10:14:03	ga_ls8c_ard_3-2-0_099079_2021-08-14_final
2021-08-22 09:28:15	ga_ls8c_ard_3-2-0_091088_2021-08-21_final
2021-12-30 09:10:46	ga_ls8c_ard_3-2-1_089075_2021-12-29_final
2022-01-13 11:00:00	ga_ls8c_ard_3-2-1_107070_2022-01-13_final
2022-03-26 10:10:55	ga_ls8c_ard_3-2-1_099072_2022-03-26_final
2022-09-02 10:13:39	ga_ls8c_ard_3-2-1_099077_2022-09-02_final
2022-09-26 09:27:55	ga_ls8c_ard_3-2-1_091086_2022-09-25_final
2022-10-15 09:53:53	ga_ls8c_ard_3-2-1_096074_2022-10-15_final
2022-11-22 09:22:49	ga_ls8c_ard_3-2-1_090089_2022-11-21_final
2022-12-08 10:53:20	ga_ls8c_ard_3-2-1_106068_2022-12-08_final
2023-06-09 11:01:34	ga_ls8c_ard_3-2-1_107076_2023-06-09_final
2023-07-28 10:04:21	ga_ls8c_ard_3-2-1_098071_2023-07-28_final
2023-08-19 09:34:13	ga_ls8c_ard_3-2-1_092088_2023-08-19_final
2023-08-30 09:16:06	ga_ls8c_ard_3-2-1_089089_2023-08-29_final
2023-09-13 11:00:36	ga_ls8c_ard_3-2-1_107072_2023-09-13_final
2023-10-11 09:47:22	ga_ls8c_ard_3-2-1_095074_2023-10-11_final
2023-10-27 11:24:18	ga_ls8c_ard_3-2-1_111069_2023-10-27_final
2024-03-21 11:13:28	ga_ls8c_ard_3-2-1_109074_2024-03-21_nrt

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