Search ga_ls8c_ard_3 whole collection

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

69 results

Time (local)	Label
2013-06-18 09:40:10	ga_ls8c_ard_3-0-0_094067_2013-06-18_final
2013-07-09 10:03:33	ga_ls8c_ard_3-0-0_097079_2013-07-09_final
2013-07-23 10:15:05	ga_ls8c_ard_3-0-0_099077_2013-07-23_final
2013-12-31 09:18:30	ga_ls8c_ard_3-0-0_090076_2013-12-30_final
2014-06-24 10:12:50	ga_ls8c_ard_3-0-0_099077_2014-06-24_final
2014-06-26 09:56:29	ga_ls8c_ard_3-0-0_097067_2014-06-26_final
2014-07-09 09:27:42	ga_ls8c_ard_3-0-0_092072_2014-07-08_final
2014-07-21 09:57:15	ga_ls8c_ard_3-0-0_096084_2014-07-21_final
2014-11-07 11:05:11	ga_ls8c_ard_3-0-0_107083_2014-11-07_final
2014-11-26 09:50:47	ga_ls8c_ard_3-0-0_096067_2014-11-26_final
2015-02-26 10:19:29	ga_ls8c_ard_3-0-0_100078_2015-02-26_final
2015-09-10 11:30:33	ga_ls8c_ard_3-0-0_112070_2015-09-10_final
2015-11-27 10:10:17	ga_ls8c_ard_3-0-0_098085_2015-11-27_final
2016-02-21 09:28:33	ga_ls8c_ard_3-0-0_092074_2016-02-20_final
2016-11-27 10:19:38	ga_ls8c_ard_3-0-0_100077_2016-11-27_final
2017-01-02 11:29:41	ga_ls8c_ard_3-0-0_112067_2017-01-02_final
2017-02-07 09:27:51	ga_ls8c_ard_3-0-0_092072_2017-02-06_final
2017-03-17 10:27:46	ga_ls8c_ard_3-0-0_102068_2017-03-17_final
2017-04-05 09:21:38	ga_ls8c_ard_3-0-0_091073_2017-04-04_final
2017-06-04 09:45:14	ga_ls8c_ard_3-0-0_095070_2017-06-04_final
2017-06-17 09:21:12	ga_ls8c_ard_3-0-0_090087_2017-06-16_final
2017-06-26 09:15:28	ga_ls8c_ard_3-0-0_089088_2017-06-25_final
2017-09-22 09:56:56	ga_ls8c_ard_3-0-0_097067_2017-09-22_final
2017-10-01 11:30:06	ga_ls8c_ard_3-0-0_112068_2017-10-01_final
2017-11-23 10:16:07	ga_ls8c_ard_3-0-0_099084_2017-11-23_final
2017-12-13 09:52:33	ga_ls8c_ard_3-0-0_095087_2017-12-13_final
2018-01-14 11:28:56	ga_ls8c_ard_3-0-0_111081_2018-01-14_final
2018-02-26 11:07:16	ga_ls8c_ard_3-0-0_108074_2018-02-26_final
2018-03-23 09:22:24	ga_ls8c_ard_3-0-0_091075_2018-03-22_final
2018-06-05 11:39:37	ga_ls8c_ard_3-0-0_113080_2018-06-05_final
2018-09-26 10:45:42	ga_ls8c_ard_3-0-0_104082_2018-09-26_final
2018-10-17 09:21:32	ga_ls8c_ard_3-0-0_091072_2018-10-16_final
2018-12-13 09:16:58	ga_ls8c_ard_3-0-0_090076_2018-12-12_final
2018-12-21 10:02:26	ga_ls8c_ard_3-2-1_098066_2018-12-21_final
2019-03-26 09:21:39	ga_ls8c_ard_3-1-0_091073_2019-03-25_final
2019-04-16 09:37:41	ga_ls8c_ard_3-1-0_094067_2019-04-16_final
2020-02-13 10:34:17	ga_ls8c_ard_3-1-0_103068_2020-02-13_final
2020-03-30 09:11:50	ga_ls8c_ard_3-1-0_089079_2020-03-29_final
2020-06-08 10:13:06	ga_ls8c_ard_3-1-0_099078_2020-06-08_final
2020-07-07 11:17:44	ga_ls8c_ard_3-1-0_110069_2020-07-07_final
2020-07-11 09:22:32	ga_ls8c_ard_3-1-0_090090_2020-07-10_final
2020-07-23 11:20:13	ga_ls8c_ard_3-1-0_110075_2020-07-23_final
2020-08-08 09:44:11	ga_ls8c_ard_3-1-0_094082_2020-08-08_final
2020-10-22 09:22:01	ga_ls8c_ard_3-1-0_091072_2020-10-21_final
2020-10-30 10:13:26	ga_ls8c_ard_3-1-0_099077_2020-10-30_final
2021-02-27 09:24:53	ga_ls8c_ard_3-2-0_091080_2021-02-26_final
2021-03-04 11:18:16	ga_ls8c_ard_3-2-0_110070_2021-03-04_final
2021-05-11 09:22:13	ga_ls8c_ard_3-2-0_090090_2021-05-10_final
2021-05-12 11:41:11	ga_ls8c_ard_3-2-0_113082_2021-05-12_final
2021-09-03 09:47:02	ga_ls8c_ard_3-2-0_095073_2021-09-03_final
2021-11-17 09:29:00	ga_ls8c_ard_3-2-0_092074_2021-11-16_final
2021-11-25 10:19:39	ga_ls8c_ard_3-2-0_100077_2021-11-25_final
2021-12-12 09:23:14	ga_ls8c_ard_3-2-1_091075_2021-12-11_final
2021-12-27 10:19:59	ga_ls8c_ard_3-2-1_100078_2021-12-27_final
2022-01-04 09:28:54	ga_ls8c_ard_3-2-1_092074_2022-01-03_final
2022-01-12 10:19:56	ga_ls8c_ard_3-2-1_100078_2022-01-12_final
2022-01-22 09:20:04	ga_ls8c_ard_3-2-1_090083_2022-01-21_final
2022-01-29 09:21:49	ga_ls8c_ard_3-2-1_091072_2022-01-28_final
2022-03-10 10:13:30	ga_ls8c_ard_3-2-1_099078_2022-03-10_final
2022-05-26 09:39:45	ga_ls8c_ard_3-2-1_094071_2022-05-26_final
2022-07-17 09:22:07	ga_ls8c_ard_3-2-1_090088_2022-07-16_final
2022-12-17 10:47:04	ga_ls8c_ard_3-2-1_105068_2022-12-17_final
2023-01-16 09:21:59	ga_ls8c_ard_3-2-1_091072_2023-01-15_final
2023-06-19 11:37:07	ga_ls8c_ard_3-2-1_113072_2023-06-19_final
2023-06-21 11:23:57	ga_ls8c_ard_3-2-1_111070_2023-06-21_final
2023-07-04 09:22:20	ga_ls8c_ard_3-2-1_090090_2023-07-03_final
2023-07-19 10:13:37	ga_ls8c_ard_3-2-1_099079_2023-07-19_final
2024-02-09 09:40:20	ga_ls8c_ard_3-2-1_094072_2024-02-09_final
2024-04-20 11:23:33	ga_ls8c_ard_3-2-1_111069_2024-04-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years