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

72 results

Time (local)	Label
2013-04-12 10:51:20	ga_ls8c_ard_3-0-0_105075_2013-04-12_final
2013-08-18 09:15:20	ga_ls8c_ard_3-0-0_089082_2013-08-17_final
2013-08-29 10:32:55	ga_ls8c_ard_3-0-0_102075_2013-08-29_final
2013-09-02 10:06:11	ga_ls8c_ard_3-0-0_098070_2013-09-02_final
2014-01-07 09:30:11	ga_ls8c_ard_3-0-0_091090_2014-01-07_final
2014-06-21 11:23:37	ga_ls8c_ard_3-0-0_110084_2014-06-21_final
2014-11-16 09:17:42	ga_ls8c_ard_3-0-0_090077_2014-11-15_final
2014-12-21 11:25:49	ga_ls8c_ard_3-0-0_111073_2014-12-21_final
2015-04-07 09:32:26	ga_ls8c_ard_3-0-0_092085_2015-04-07_final
2015-05-26 10:14:11	ga_ls8c_ard_3-0-0_099082_2015-05-26_final
2015-06-14 10:41:42	ga_ls8c_ard_3-0-0_104073_2015-06-14_final
2015-06-25 10:25:12	ga_ls8c_ard_3-0-0_101078_2015-06-25_final
2015-07-29 11:50:49	ga_ls8c_ard_3-0-0_115075_2015-07-29_final
2015-08-20 11:17:28	ga_ls8c_ard_3-0-0_109084_2015-08-20_final
2015-09-19 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-09-19_final
2015-09-22 10:19:41	ga_ls8c_ard_3-0-0_100078_2015-09-22_final
2015-10-12 09:57:47	ga_ls8c_ard_3-0-0_096085_2015-10-12_final
2016-01-16 09:52:16	ga_ls8c_ard_3-0-0_096071_2016-01-16_final
2016-02-05 09:34:17	ga_ls8c_ard_3-0-0_092088_2016-02-05_final
2016-02-27 10:33:09	ga_ls8c_ard_3-0-0_102081_2016-02-27_final
2016-05-06 09:11:19	ga_ls8c_ard_3-0-0_089078_2016-05-05_final
2016-05-24 10:35:28	ga_ls8c_ard_3-0-0_103072_2016-05-24_final
2016-08-22 09:34:34	ga_ls8c_ard_3-0-0_093073_2016-08-22_final
2016-08-27 11:32:49	ga_ls8c_ard_3-0-0_112075_2016-08-27_final
2016-10-04 09:20:33	ga_ls8c_ard_3-0-0_090084_2016-10-03_final
2016-11-27 10:19:38	ga_ls8c_ard_3-0-0_100077_2016-11-27_final
2016-12-10 11:24:47	ga_ls8c_ard_3-0-0_111070_2016-12-10_final
2016-12-13 10:19:59	ga_ls8c_ard_3-0-0_100078_2016-12-13_final
2016-12-14 09:23:09	ga_ls8c_ard_3-0-0_091075_2016-12-13_final
2018-02-15 09:45:25	ga_ls8c_ard_3-0-0_095070_2018-02-15_final
2018-02-18 10:18:41	ga_ls8c_ard_3-0-0_100076_2018-02-18_final
2018-02-20 11:44:48	ga_ls8c_ard_3-0-0_114075_2018-02-20_final
2018-02-22 11:29:38	ga_ls8c_ard_3-0-0_112068_2018-02-22_final
2018-02-28 10:53:18	ga_ls8c_ard_3-0-0_106070_2018-02-28_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-05-15 09:39:14	ga_ls8c_ard_3-0-0_094072_2018-05-15_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-06-24 10:27:27	ga_ls8c_ard_3-0-0_102069_2018-06-24_final
2018-11-07 11:18:38	ga_ls8c_ard_3-0-0_110071_2018-11-07_final
2019-01-14 09:16:56	ga_ls8c_ard_3-0-0_090076_2019-01-13_final
2019-02-14 11:51:45	ga_ls8c_ard_3-0-0_115077_2019-02-14_final
2019-03-13 11:31:52	ga_ls8c_ard_3-1-0_112074_2019-03-13_final
2019-07-28 11:25:43	ga_ls8c_ard_3-1-0_111073_2019-07-28_final
2019-08-07 10:25:58	ga_ls8c_ard_3-1-0_101078_2019-08-07_final
2020-02-10 10:09:47	ga_ls8c_ard_3-1-0_098084_2020-02-10_final
2020-04-06 10:52:51	ga_ls8c_ard_3-1-0_106069_2020-04-06_final
2020-05-11 11:25:05	ga_ls8c_ard_3-1-0_111073_2020-05-11_final
2020-09-18 09:35:30	ga_ls8c_ard_3-1-0_093075_2020-09-18_final
2020-10-25 09:52:31	ga_ls8c_ard_3-1-0_096071_2020-10-25_final
2020-11-15 10:10:13	ga_ls8c_ard_3-1-0_099069_2020-11-15_final
2020-12-03 09:57:31	ga_ls8c_ard_3-1-0_097068_2020-12-03_final
2021-01-02 11:53:05	ga_ls8c_ard_3-2-0_115079_2021-01-02_final
2021-01-11 10:04:45	ga_ls8c_ard_3-2-0_098071_2021-01-11_final
2021-01-27 10:03:53	ga_ls8c_ard_3-2-0_098069_2021-01-27_final
2021-05-26 10:13:37	ga_ls8c_ard_3-2-0_099079_2021-05-26_final
2021-06-27 10:09:49	ga_ls8c_ard_3-2-0_099069_2021-06-27_final
2021-06-30 09:06:38	ga_ls8c_ard_3-2-0_088081_2021-06-29_final
2021-11-18 10:10:15	ga_ls8c_ard_3-2-0_099069_2021-11-18_final
2022-03-16 09:40:21	ga_ls8c_ard_3-2-1_093088_2022-03-16_final
2022-03-21 11:32:08	ga_ls8c_ard_3-2-1_112074_2022-03-21_final
2022-10-10 09:40:11	ga_ls8c_ard_3-2-1_093086_2022-10-10_final
2022-11-12 10:22:41	ga_ls8c_ard_3-2-1_100084_2022-11-12_final
2022-11-21 10:15:39	ga_ls8c_ard_3-2-1_099082_2022-11-21_final
2022-12-26 09:06:44	ga_ls8c_ard_3-2-1_088080_2022-12-25_final
2023-01-03 11:32:41	ga_ls8c_ard_3-2-1_112074_2023-01-03_final
2023-03-01 09:46:28	ga_ls8c_ard_3-2-1_095072_2023-03-01_final
2023-03-30 10:52:59	ga_ls8c_ard_3-2-1_106069_2023-03-30_final
2023-07-13 09:12:37	ga_ls8c_ard_3-2-1_089081_2023-07-12_final
2023-07-28 10:09:56	ga_ls8c_ard_3-2-1_098085_2023-07-28_final
2023-12-19 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-12-19_final
2023-12-31 10:33:48	ga_ls8c_ard_3-2-1_102082_2023-12-31_final
2024-03-31 10:09:32	ga_ls8c_ard_3-2-1_099069_2024-03-31_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