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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

59 results

Time (local)	Label
2013-07-21 10:26:38	ga_ls8c_ard_3-0-0_101075_2013-07-21_final
2013-08-14 09:39:14	ga_ls8c_ard_3-0-0_093080_2013-08-14_final
2013-11-28 10:15:08	ga_ls8c_ard_3-0-0_099078_2013-11-28_final
2013-12-14 10:15:28	ga_ls8c_ard_3-0-0_099079_2013-12-14_final
2014-02-24 09:28:01	ga_ls8c_ard_3-0-0_091086_2014-02-23_final
2014-05-27 09:43:57	ga_ls8c_ard_3-0-0_095067_2014-05-27_final
2014-08-20 10:04:13	ga_ls8c_ard_3-0-0_098070_2014-08-20_final
2015-06-22 11:28:47	ga_ls8c_ard_3-0-0_112067_2015-06-22_final
2015-09-06 10:18:45	ga_ls8c_ard_3-0-0_100076_2015-09-06_final
2015-12-29 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-29_final
2016-01-16 11:30:45	ga_ls8c_ard_3-0-0_112070_2016-01-16_final
2016-01-18 11:19:59	ga_ls8c_ard_3-0-0_110074_2016-01-18_final
2016-02-14 11:01:43	ga_ls8c_ard_3-0-0_107075_2016-02-14_final
2016-06-06 10:09:25	ga_ls8c_ard_3-0-0_098084_2016-06-06_final
2016-08-17 09:17:59	ga_ls8c_ard_3-0-0_090078_2016-08-16_final
2016-08-31 09:32:02	ga_ls8c_ard_3-0-0_092082_2016-08-31_final
2016-11-08 11:24:49	ga_ls8c_ard_3-0-0_111070_2016-11-08_final
2017-02-22 10:27:23	ga_ls8c_ard_3-0-0_101082_2017-02-22_final
2017-05-17 09:57:49	ga_ls8c_ard_3-0-0_097071_2017-05-17_final
2017-09-24 09:45:47	ga_ls8c_ard_3-0-0_095070_2017-09-24_final
2018-01-10 11:52:06	ga_ls8c_ard_3-0-0_115077_2018-01-10_final
2018-02-02 10:16:47	ga_ls8c_ard_3-0-0_100071_2018-02-02_final
2018-04-09 10:06:43	ga_ls8c_ard_3-0-0_098078_2018-04-09_final
2018-06-02 09:33:50	ga_ls8c_ard_3-0-0_092090_2018-06-02_final
2018-09-24 10:55:15	ga_ls8c_ard_3-0-0_106075_2018-09-24_final
2018-11-17 10:19:38	ga_ls8c_ard_3-0-0_100078_2018-11-17_final
2018-11-30 11:24:24	ga_ls8c_ard_3-0-0_111070_2018-11-30_final
2019-03-29 11:29:02	ga_ls8c_ard_3-1-0_112067_2019-03-29_final
2019-07-09 09:22:13	ga_ls8c_ard_3-1-0_090089_2019-07-08_final
2019-11-21 11:02:05	ga_ls8c_ard_3-1-0_107075_2019-11-21_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2020-03-11 10:18:24	ga_ls8c_ard_3-1-0_100075_2020-03-11_final
2020-03-30 10:46:43	ga_ls8c_ard_3-1-0_105069_2020-03-30_final
2020-09-04 09:25:27	ga_ls8c_ard_3-1-0_091081_2020-09-03_final
2020-12-13 10:36:36	ga_ls8c_ard_3-1-0_103073_2020-12-13_final
2021-01-21 10:42:10	ga_ls8c_ard_3-2-0_104072_2021-01-21_final
2021-02-07 09:46:31	ga_ls8c_ard_3-2-0_095072_2021-02-07_final
2021-02-15 10:35:31	ga_ls8c_ard_3-2-0_103071_2021-02-15_final
2021-02-22 10:46:03	ga_ls8c_ard_3-2-0_104082_2021-02-22_final
2021-03-17 10:48:50	ga_ls8c_ard_3-2-0_105074_2021-03-17_final
2021-03-30 10:21:29	ga_ls8c_ard_3-2-0_100083_2021-03-30_final
2021-04-18 10:47:52	ga_ls8c_ard_3-2-0_105072_2021-04-18_final
2021-07-04 10:18:48	ga_ls8c_ard_3-2-0_100076_2021-07-04_final
2021-09-19 11:25:35	ga_ls8c_ard_3-2-0_111072_2021-09-19_final
2021-11-12 09:13:41	ga_ls8c_ard_3-2-0_089082_2021-11-11_final
2021-11-19 09:22:13	ga_ls8c_ard_3-2-0_090088_2021-11-18_final
2022-02-28 11:17:44	ga_ls8c_ard_3-2-1_109084_2022-02-28_final
2022-03-12 10:03:31	ga_ls8c_ard_3-2-1_097084_2022-03-12_final
2022-03-19 11:45:43	ga_ls8c_ard_3-2-1_114077_2022-03-19_final
2022-05-29 10:08:40	ga_ls8c_ard_3-2-1_099066_2022-05-29_final
2022-11-04 11:11:47	ga_ls8c_ard_3-2-1_108083_2022-11-04_final
2022-11-07 10:01:47	ga_ls8c_ard_3-2-1_097078_2022-11-07_final
2023-05-25 10:02:39	ga_ls8c_ard_3-2-1_098068_2023-05-25_final
2023-09-03 10:25:28	ga_ls8c_ard_3-2-1_101077_2023-09-03_final
2023-10-06 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-10-06_final
2023-11-24 10:13:22	ga_ls8c_ard_3-2-1_099077_2023-11-24_final
2024-02-28 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-02-28_final
2024-04-01 10:52:24	ga_ls8c_ard_3-2-1_106068_2024-04-01_final
2024-04-11 11:31:27	ga_ls8c_ard_3-2-1_112073_2024-04-11_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

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