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

78 results

Time (local)	Label
2013-09-06 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-09-06_final
2013-09-29 11:31:33	ga_ls8c_ard_3-0-0_111083_2013-09-29_final
2014-02-08 11:01:55	ga_ls8c_ard_3-0-0_107073_2014-02-08_final
2014-04-21 10:14:13	ga_ls8c_ard_3-0-0_099080_2014-04-21_final
2014-07-03 10:07:08	ga_ls8c_ard_3-0-0_098078_2014-07-03_final
2014-10-24 09:10:44	ga_ls8c_ard_3-0-0_089075_2014-10-23_final
2015-02-21 10:00:34	ga_ls8c_ard_3-0-0_097077_2015-02-21_final
2015-02-23 11:25:30	ga_ls8c_ard_3-0-0_111073_2015-02-23_final
2015-02-27 11:02:21	ga_ls8c_ard_3-0-0_107077_2015-02-27_final
2015-08-31 09:21:42	ga_ls8c_ard_3-0-0_090088_2015-08-30_final
2015-12-31 11:32:23	ga_ls8c_ard_3-0-0_112074_2015-12-31_final
2016-01-25 11:24:10	ga_ls8c_ard_3-0-0_111069_2016-01-25_final
2016-03-19 10:46:48	ga_ls8c_ard_3-0-0_105069_2016-03-19_final
2016-06-16 09:06:26	ga_ls8c_ard_3-1-0_088081_2016-06-15_final
2016-06-23 10:47:58	ga_ls8c_ard_3-0-0_105072_2016-06-23_final
2016-07-03 11:25:57	ga_ls8c_ard_3-0-0_111074_2016-07-03_final
2016-08-01 10:53:12	ga_ls8c_ard_3-0-0_106069_2016-08-01_final
2016-08-22 11:13:51	ga_ls8c_ard_3-0-0_109074_2016-08-22_final
2016-09-05 11:25:53	ga_ls8c_ard_3-0-0_111073_2016-09-05_final
2017-05-12 11:19:18	ga_ls8c_ard_3-0-0_110074_2017-05-12_final
2017-07-18 10:15:22	ga_ls8c_ard_3-0-0_099083_2017-07-18_final
2017-11-07 10:14:12	ga_ls8c_ard_3-0-0_099079_2017-11-07_final
2017-11-09 09:59:02	ga_ls8c_ard_3-0-0_097072_2017-11-09_final
2017-12-04 09:57:07	ga_ls8c_ard_3-0-0_096083_2017-12-04_final
2018-03-15 10:09:06	ga_ls8c_ard_3-0-0_099068_2018-03-15_final
2018-05-28 09:12:33	ga_ls8c_ard_3-0-0_089083_2018-05-27_final
2018-06-14 11:28:21	ga_ls8c_ard_3-0-0_112067_2018-06-14_final
2018-06-26 10:15:55	ga_ls8c_ard_3-0-0_100071_2018-06-26_final
2018-07-11 09:39:34	ga_ls8c_ard_3-0-0_093088_2018-07-11_final
2018-07-12 10:18:03	ga_ls8c_ard_3-0-0_100076_2018-07-12_final
2018-09-11 11:23:18	ga_ls8c_ard_3-0-0_111068_2018-09-11_final
2018-09-24 09:16:46	ga_ls8c_ard_3-0-0_090076_2018-09-23_final
2018-10-16 10:16:45	ga_ls8c_ard_3-0-0_100071_2018-10-16_final
2018-11-01 10:20:01	ga_ls8c_ard_3-0-0_100079_2018-11-01_final
2018-11-20 09:12:51	ga_ls8c_ard_3-0-0_089081_2018-11-19_final
2018-12-11 09:28:32	ga_ls8c_ard_3-0-0_092074_2018-12-10_final
2018-12-29 09:17:22	ga_ls8c_ard_3-0-0_090077_2018-12-28_final
2018-12-31 10:45:53	ga_ls8c_ard_3-0-0_104082_2018-12-31_final
2019-01-19 09:35:04	ga_ls8c_ard_3-0-0_093075_2019-01-19_final
2019-03-31 11:17:27	ga_ls8c_ard_3-1-0_110069_2019-03-31_final
2019-04-06 10:39:57	ga_ls8c_ard_3-1-0_104068_2019-04-06_final
2019-05-15 09:13:41	ga_ls8c_ard_3-0-0_089084_2019-05-14_final
2019-09-19 11:47:19	ga_ls8c_ard_3-1-0_114080_2019-09-19_final
2019-12-15 10:09:49	ga_ls8c_ard_3-2-0_099068_2019-12-15_final
2019-12-27 10:39:17	ga_ls8c_ard_3-1-0_103080_2019-12-27_final
2020-03-01 09:40:59	ga_ls8c_ard_3-1-0_094074_2020-03-01_final
2020-04-07 09:57:13	ga_ls8c_ard_3-1-0_097069_2020-04-07_final
2020-05-06 09:28:05	ga_ls8c_ard_3-1-0_092074_2020-05-05_final
2020-08-02 10:18:27	ga_ls8c_ard_3-1-0_100075_2020-08-02_final
2020-10-02 09:47:31	ga_ls8c_ard_3-1-0_095074_2020-10-02_final
2021-01-20 11:38:59	ga_ls8c_ard_3-2-0_113075_2021-01-20_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-04-18 09:10:59	ga_ls8c_ard_3-2-0_089077_2021-04-17_final
2021-05-06 10:39:19	ga_ls8c_ard_3-2-0_103082_2021-05-06_final
2021-07-12 11:09:27	ga_ls8c_ard_3-2-0_108079_2021-07-12_final
2021-08-17 10:40:59	ga_ls8c_ard_3-2-0_104069_2021-08-17_final
2021-09-09 10:48:28	ga_ls8c_ard_3-2-0_105072_2021-09-09_final
2021-10-23 11:15:21	ga_ls8c_ard_3-2-0_109077_2021-10-23_final
2021-11-26 09:22:26	ga_ls8c_ard_3-2-0_091073_2021-11-25_final
2022-02-23 09:16:44	ga_ls8c_ard_3-2-1_090075_2022-02-22_final
2022-04-27 10:09:42	ga_ls8c_ard_3-2-1_099069_2022-04-27_final
2022-07-06 09:39:52	ga_ls8c_ard_3-2-1_093086_2022-07-06_final
2022-09-28 10:47:15	ga_ls8c_ard_3-2-1_105068_2022-09-28_final
2022-10-27 10:19:32	ga_ls8c_ard_3-2-1_100076_2022-10-27_final
2022-10-29 10:03:11	ga_ls8c_ard_3-2-1_098066_2022-10-29_final
2022-11-04 09:33:18	ga_ls8c_ard_3-2-1_092084_2022-11-04_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-12-24 09:17:29	ga_ls8c_ard_3-2-1_090076_2022-12-23_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-03-28 09:28:53	ga_ls8c_ard_3-2-1_092075_2023-03-27_final
2023-04-08 10:45:51	ga_ls8c_ard_3-2-1_105067_2023-04-08_final
2023-07-09 11:17:00	ga_ls8c_ard_3-2-1_109083_2023-07-09_final
2023-07-11 11:04:39	ga_ls8c_ard_3-2-1_107083_2023-07-11_final
2023-07-16 11:19:37	ga_ls8c_ard_3-2-1_110074_2023-07-16_final
2023-12-07 09:39:54	ga_ls8c_ard_3-2-1_094071_2023-12-07_final
2023-12-11 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-12-10_final
2024-01-19 11:00:16	ga_ls8c_ard_3-2-1_107071_2024-01-19_final
2024-02-17 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-17_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