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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

70 results

Time (local)	Label
2013-05-31 09:52:39	ga_ls8c_ard_3-0-0_096067_2013-05-31_final
2013-06-09 11:31:42	ga_ls8c_ard_3-0-0_111083_2013-06-09_final
2013-06-13 09:27:16	ga_ls8c_ard_3-0-0_091081_2013-06-12_final
2013-07-13 11:18:54	ga_ls8c_ard_3-0-0_109082_2013-07-13_final
2013-09-09 10:12:21	ga_ls8c_ard_3-0-0_099070_2013-09-09_final
2013-09-15 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-09-15_final
2013-09-30 10:35:08	ga_ls8c_ard_3-0-0_102081_2013-09-30_final
2013-10-06 09:52:29	ga_ls8c_ard_3-0-0_096067_2013-10-06_final
2014-01-31 10:14:59	ga_ls8c_ard_3-0-0_099079_2014-01-31_final
2014-04-16 11:31:49	ga_ls8c_ard_3-0-0_112073_2014-04-16_final
2014-09-23 09:50:41	ga_ls8c_ard_3-0-0_096067_2014-09-23_final
2014-11-21 09:34:11	ga_ls8c_ard_3-0-0_093072_2014-11-21_final
2014-12-16 09:27:58	ga_ls8c_ard_3-0-0_092072_2014-12-15_final
2015-02-15 10:39:38	ga_ls8c_ard_3-0-0_103082_2015-02-15_final
2015-08-09 11:31:07	ga_ls8c_ard_3-0-0_112072_2015-08-09_final
2016-03-26 09:16:49	ga_ls8c_ard_3-0-0_090076_2016-03-25_final
2016-05-07 09:55:46	ga_ls8c_ard_3-0-0_096081_2016-05-07_final
2017-01-31 11:03:49	ga_ls8c_ard_3-0-0_107080_2017-01-31_final
2017-02-07 09:27:51	ga_ls8c_ard_3-0-0_092072_2017-02-06_final
2017-02-17 10:04:28	ga_ls8c_ard_3-0-0_098071_2017-02-17_final
2017-06-05 10:32:53	ga_ls8c_ard_3-0-0_102081_2017-06-05_final
2017-09-10 09:34:09	ga_ls8c_ard_3-0-0_093072_2017-09-10_final
2017-10-02 10:39:41	ga_ls8c_ard_3-0-0_103081_2017-10-02_final
2018-01-04 09:13:51	ga_ls8c_ard_3-0-0_089083_2018-01-03_final
2018-05-19 10:51:21	ga_ls8c_ard_3-0-0_106067_2018-05-19_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-20 09:22:02	ga_ls8c_ard_3-0-0_090091_2018-06-19_final
2018-12-11 09:28:32	ga_ls8c_ard_3-0-0_092074_2018-12-10_final
2018-12-27 09:34:31	ga_ls8c_ard_3-0-0_092089_2018-12-27_final
2019-02-08 09:11:05	ga_ls8c_ard_3-0-0_089077_2019-02-07_final
2019-05-09 11:22:48	ga_ls8c_ard_3-0-0_111067_2019-05-09_final
2019-07-26 10:01:34	ga_ls8c_ard_3-1-0_097079_2019-07-26_final
2019-08-25 10:13:18	ga_ls8c_ard_3-1-0_099077_2019-08-25_final
2019-09-13 10:42:41	ga_ls8c_ard_3-1-0_104073_2019-09-13_final
2020-01-01 09:17:19	ga_ls8c_ard_3-1-0_090076_2019-12-31_final
2020-01-30 10:24:47	ga_ls8c_ard_3-1-0_101075_2020-01-30_final
2020-02-17 10:13:33	ga_ls8c_ard_3-1-0_099078_2020-02-17_final
2020-04-13 09:21:42	ga_ls8c_ard_3-1-0_091073_2020-04-12_final
2020-05-15 12:36:52	ga_ls8c_ard_3-2-1_123067_2020-05-15_final
2020-06-02 09:11:13	ga_ls8c_ard_3-1-0_089078_2020-06-01_final
2020-07-25 09:33:46	ga_ls8c_ard_3-1-0_092087_2020-07-25_final
2020-08-29 09:57:18	ga_ls8c_ard_3-1-0_097068_2020-08-29_final
2020-09-07 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-09-07_final
2020-12-29 10:36:32	ga_ls8c_ard_3-2-0_103073_2020-12-29_final
2021-01-02 10:16:35	ga_ls8c_ard_3-2-0_099085_2021-01-02_final
2021-02-22 09:06:22	ga_ls8c_ard_3-2-0_088080_2021-02-21_final
2021-02-27 09:21:41	ga_ls8c_ard_3-2-0_091072_2021-02-26_final
2021-03-09 09:57:29	ga_ls8c_ard_3-2-0_097069_2021-03-09_final
2021-07-17 11:29:12	ga_ls8c_ard_3-2-0_111082_2021-07-17_final
2021-08-04 09:34:07	ga_ls8c_ard_3-2-0_093072_2021-08-04_final
2021-08-23 10:03:32	ga_ls8c_ard_3-2-0_098068_2021-08-23_final
2021-09-15 10:13:24	ga_ls8c_ard_3-2-0_099077_2021-09-15_final
2022-02-12 09:34:08	ga_ls8c_ard_3-2-1_093072_2022-02-12_final
2022-04-06 09:57:09	ga_ls8c_ard_3-2-1_096084_2022-04-06_final
2022-04-19 11:04:47	ga_ls8c_ard_3-2-1_107083_2022-04-19_final
2022-06-13 11:06:06	ga_ls8c_ard_3-2-1_108070_2022-06-13_final
2022-06-18 11:29:52	ga_ls8c_ard_3-2-1_111083_2022-06-18_final
2022-07-12 10:39:40	ga_ls8c_ard_3-2-1_103081_2022-07-12_final
2022-10-26 09:34:40	ga_ls8c_ard_3-2-1_093072_2022-10-26_final
2022-12-26 10:44:01	ga_ls8c_ard_3-2-1_104076_2022-12-26_final
2023-03-08 09:58:09	ga_ls8c_ard_3-2-1_096086_2023-03-08_final
2023-06-19 10:02:37	ga_ls8c_ard_3-2-1_097083_2023-06-19_final
2023-06-25 09:27:11	ga_ls8c_ard_3-2-1_091087_2023-06-24_final
2023-09-04 09:28:38	ga_ls8c_ard_3-2-1_092074_2023-09-03_final
2023-09-18 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-09-18_final
2023-11-05 09:40:25	ga_ls8c_ard_3-2-1_094072_2023-11-05_final
2023-11-17 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-17_final
2024-01-03 09:21:47	ga_ls8c_ard_3-2-1_091072_2024-01-02_final
2024-02-27 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-02-27_final
2024-04-07 10:18:54	ga_ls8c_ard_3-2-1_100077_2024-04-07_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