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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

51 results

Time (local)	Label
2013-09-26 10:54:40	ga_ls8c_ard_3-0-0_106068_2013-09-26_final
2013-10-25 10:27:14	ga_ls8c_ard_3-0-0_101077_2013-10-25_final
2013-12-20 11:15:35	ga_ls8c_ard_3-0-0_109075_2013-12-20_final
2015-01-24 09:40:22	ga_ls8c_ard_3-0-0_093088_2015-01-24_final
2015-06-12 09:15:58	ga_ls8c_ard_3-0-0_090075_2015-06-11_final
2015-07-24 09:55:22	ga_ls8c_ard_3-0-0_096080_2015-07-24_final
2015-08-27 09:39:37	ga_ls8c_ard_3-0-0_094071_2015-08-27_final
2015-09-10 09:57:15	ga_ls8c_ard_3-0-0_096084_2015-09-10_final
2015-10-02 09:21:54	ga_ls8c_ard_3-0-0_090088_2015-10-01_final
2016-11-26 11:17:39	ga_ls8c_ard_3-0-0_109083_2016-11-26_final
2016-12-16 09:13:11	ga_ls8c_ard_3-0-0_089081_2016-12-15_final
2017-02-17 10:03:41	ga_ls8c_ard_3-0-0_098069_2017-02-17_final
2017-03-06 09:13:08	ga_ls8c_ard_3-0-0_089082_2017-03-05_final
2017-03-30 09:57:57	ga_ls8c_ard_3-0-0_097071_2017-03-30_final
2017-04-22 10:08:43	ga_ls8c_ard_3-0-0_098083_2017-04-22_final
2017-08-13 10:49:26	ga_ls8c_ard_3-0-0_105075_2017-08-13_final
2017-08-31 10:37:57	ga_ls8c_ard_3-0-0_103077_2017-08-31_final
2017-10-12 09:39:31	ga_ls8c_ard_3-0-0_093085_2017-10-12_final
2018-03-26 11:30:10	ga_ls8c_ard_3-0-0_112070_2018-03-26_final
2018-04-01 09:20:32	ga_ls8c_ard_3-0-0_090086_2018-03-31_final
2018-05-12 10:48:27	ga_ls8c_ard_3-0-0_105075_2018-05-12_final
2018-12-04 09:27:35	ga_ls8c_ard_3-0-0_091087_2018-12-03_final
2018-12-19 10:18:46	ga_ls8c_ard_3-0-0_100076_2018-12-19_final
2019-02-09 11:29:14	ga_ls8c_ard_3-0-0_112067_2019-02-09_final
2019-05-05 10:12:58	ga_ls8c_ard_3-0-0_099078_2019-05-05_final
2019-06-25 09:06:13	ga_ls8c_ard_3-1-0_088080_2019-06-24_final
2019-07-19 11:31:25	ga_ls8c_ard_3-1-0_112072_2019-07-19_final
2019-08-28 09:07:19	ga_ls8c_ard_3-1-0_088082_2019-08-27_final
2019-11-12 09:32:13	ga_ls8c_ard_3-1-0_092082_2019-11-12_final
2020-02-14 11:18:21	ga_ls8c_ard_3-1-0_110070_2020-02-14_final
2020-05-04 09:40:03	ga_ls8c_ard_3-1-0_094073_2020-05-04_final
2020-06-17 10:07:00	ga_ls8c_ard_3-1-0_098078_2020-06-17_final
2020-07-15 10:30:44	ga_ls8c_ard_3-1-0_102075_2020-07-15_final
2020-09-07 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-09-07_final
2020-10-24 09:14:03	ga_ls8c_ard_3-1-0_089083_2020-10-23_final
2021-01-06 11:30:19	ga_ls8c_ard_3-2-0_111084_2021-01-06_final
2021-01-13 11:29:40	ga_ls8c_ard_3-2-0_112067_2021-01-13_final
2021-07-22 10:08:30	ga_ls8c_ard_3-2-0_098081_2021-07-22_final
2021-09-15 10:11:01	ga_ls8c_ard_3-2-0_099071_2021-09-15_final
2021-11-03 09:23:06	ga_ls8c_ard_3-2-0_090090_2021-11-02_final
2022-01-15 09:11:32	ga_ls8c_ard_3-2-1_089077_2022-01-14_final
2022-02-22 10:10:45	ga_ls8c_ard_3-2-1_099071_2022-02-22_final
2022-03-25 09:30:28	ga_ls8c_ard_3-2-1_092079_2022-03-25_final
2022-04-18 10:20:44	ga_ls8c_ard_3-2-1_100081_2022-04-18_final
2022-06-18 11:24:41	ga_ls8c_ard_3-2-1_111070_2022-06-18_final
2023-02-10 09:17:50	ga_ls8c_ard_3-2-1_090077_2023-02-09_final
2023-05-18 09:58:01	ga_ls8c_ard_3-2-1_097072_2023-05-18_final
2023-07-18 09:30:45	ga_ls8c_ard_3-2-1_092080_2023-07-18_final
2023-08-26 09:40:02	ga_ls8c_ard_3-2-1_093087_2023-08-26_final
2023-10-28 10:31:04	ga_ls8c_ard_3-2-1_102075_2023-10-28_final
2024-01-27 10:13:55	ga_ls8c_ard_3-2-1_099079_2024-01-27_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