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

55 results

Time (local)	Label
2013-07-14 10:21:41	ga_ls8c_ard_3-0-0_100078_2013-07-14_final
2014-02-27 11:30:09	ga_ls8c_ard_3-0-0_112067_2014-02-27_final
2014-03-07 10:46:35	ga_ls8c_ard_3-0-0_104082_2014-03-07_final
2014-04-05 10:14:06	ga_ls8c_ard_3-0-0_099079_2014-04-05_final
2014-05-29 09:33:36	ga_ls8c_ard_3-0-0_093072_2014-05-29_final
2014-11-19 11:23:52	ga_ls8c_ard_3-0-0_111068_2014-11-19_final
2014-11-22 10:19:04	ga_ls8c_ard_3-0-0_100076_2014-11-22_final
2015-01-05 10:46:04	ga_ls8c_ard_3-0-0_104082_2015-01-05_final
2015-01-18 10:09:56	ga_ls8c_ard_3-0-0_099069_2015-01-18_final
2015-03-06 09:34:22	ga_ls8c_ard_3-0-0_092089_2015-03-06_final
2015-04-10 11:39:25	ga_ls8c_ard_3-0-0_113078_2015-04-10_final
2015-07-06 10:04:24	ga_ls8c_ard_3-0-0_098072_2015-07-06_final
2016-06-04 10:18:34	ga_ls8c_ard_3-0-0_100076_2016-06-04_final
2016-07-03 11:24:21	ga_ls8c_ard_3-0-0_111070_2016-07-03_final
2016-08-16 10:11:12	ga_ls8c_ard_3-0-0_099072_2016-08-16_final
2016-09-09 11:01:59	ga_ls8c_ard_3-0-0_107075_2016-09-09_final
2017-01-09 09:57:45	ga_ls8c_ard_3-0-0_097069_2017-01-09_final
2017-08-25 09:40:31	ga_ls8c_ard_3-0-0_093088_2017-08-25_final
2017-12-27 11:39:49	ga_ls8c_ard_3-0-0_113077_2017-12-27_final
2018-02-21 09:09:53	ga_ls8c_ard_3-0-0_089074_2018-02-20_final
2018-07-13 11:04:07	ga_ls8c_ard_3-0-0_107083_2018-07-13_final
2018-10-10 10:53:24	ga_ls8c_ard_3-0-0_106070_2018-10-10_final
2018-12-15 09:06:36	ga_ls8c_ard_3-1-0_088081_2018-12-14_final
2019-01-22 11:45:38	ga_ls8c_ard_3-0-0_114077_2019-01-22_final
2019-02-18 11:24:37	ga_ls8c_ard_3-0-0_111071_2019-02-18_final
2019-03-18 10:12:42	ga_ls8c_ard_3-1-0_099077_2019-03-18_final
2019-03-26 09:24:26	ga_ls8c_ard_3-1-0_091080_2019-03-25_final
2019-04-03 10:09:28	ga_ls8c_ard_3-1-0_099069_2019-04-03_final
2019-04-29 09:12:43	ga_ls8c_ard_3-0-0_089082_2019-04-28_final
2019-09-04 09:11:55	ga_ls8c_ard_3-1-0_089078_2019-09-03_final
2020-01-08 09:25:04	ga_ls8c_ard_3-1-0_091080_2020-01-07_final
2020-02-12 09:50:38	ga_ls8c_ard_3-1-0_096067_2020-02-12_final
2020-05-24 09:16:33	ga_ls8c_ard_3-1-0_090076_2020-05-23_final
2020-06-03 09:52:54	ga_ls8c_ard_3-1-0_096074_2020-06-03_final
2020-07-27 09:17:26	ga_ls8c_ard_3-1-0_090077_2020-07-26_final
2020-10-12 10:23:25	ga_ls8c_ard_3-1-0_101071_2020-10-12_final
2020-10-22 11:01:42	ga_ls8c_ard_3-1-0_107074_2020-10-22_final
2020-11-12 09:46:29	ga_ls8c_ard_3-1-0_094087_2020-11-12_final
2021-01-19 09:17:38	ga_ls8c_ard_3-2-0_090077_2021-01-18_final
2021-08-14 10:10:04	ga_ls8c_ard_3-2-0_099069_2021-08-14_final
2021-09-29 10:28:13	ga_ls8c_ard_3-2-0_101083_2021-09-29_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2022-04-10 09:28:52	ga_ls8c_ard_3-2-1_092075_2022-04-09_final
2022-05-13 11:50:43	ga_ls8c_ard_3-2-1_115074_2022-05-13_final
2022-06-13 09:33:36	ga_ls8c_ard_3-2-1_092086_2022-06-13_final
2022-09-20 10:01:48	ga_ls8c_ard_3-2-1_097078_2022-09-20_final
2022-10-03 11:10:10	ga_ls8c_ard_3-2-1_108079_2022-10-03_final
2022-11-06 09:22:55	ga_ls8c_ard_3-2-1_090089_2022-11-05_final
2023-07-07 11:24:10	ga_ls8c_ard_3-2-1_111070_2023-07-07_final
2023-08-24 09:46:48	ga_ls8c_ard_3-2-1_095073_2023-08-24_final
2023-09-13 11:00:36	ga_ls8c_ard_3-2-1_107072_2023-09-13_final
2023-12-08 10:27:58	ga_ls8c_ard_3-2-1_101083_2023-12-08_final
2024-01-05 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-01-04_final
2024-02-12 11:52:54	ga_ls8c_ard_3-2-1_115079_2024-02-12_final
2024-04-08 09:24:28	ga_ls8c_ard_3-2-1_091080_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years