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

First 100 results (query limit)

Time (local)	Label
2014-05-19 10:36:58	ga_ls8c_ard_3-0-0_103076_2014-05-19_final
2014-10-25 11:30:29	ga_ls8c_ard_3-0-0_112069_2014-10-25_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2014-12-21 11:25:25	ga_ls8c_ard_3-0-0_111072_2014-12-21_final
2015-01-13 11:31:54	ga_ls8c_ard_3-0-0_112073_2015-01-13_final
2015-02-26 10:19:29	ga_ls8c_ard_3-0-0_100078_2015-02-26_final
2015-03-12 10:33:16	ga_ls8c_ard_3-0-0_102082_2015-03-12_final
2015-06-06 11:29:28	ga_ls8c_ard_3-0-0_112069_2015-06-06_final
2015-07-18 10:32:49	ga_ls8c_ard_3-0-0_102081_2015-07-18_final
2015-11-27 10:10:17	ga_ls8c_ard_3-0-0_098085_2015-11-27_final
2016-02-17 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-02-17_final
2016-06-06 10:06:37	ga_ls8c_ard_3-0-0_098077_2016-06-06_final
2016-11-18 10:27:49	ga_ls8c_ard_3-0-0_101082_2016-11-18_final
2016-12-10 11:24:23	ga_ls8c_ard_3-0-0_111069_2016-12-10_final
2016-12-30 11:00:24	ga_ls8c_ard_3-0-0_107071_2016-12-30_final
2017-01-21 10:22:49	ga_ls8c_ard_3-0-0_101070_2017-01-21_final
2017-02-04 10:34:40	ga_ls8c_ard_3-0-0_103069_2017-02-04_final
2017-03-14 09:56:30	ga_ls8c_ard_3-0-0_097067_2017-03-14_final
2017-04-06 10:09:16	ga_ls8c_ard_3-0-0_098084_2017-04-06_final
2017-05-14 11:07:22	ga_ls8c_ard_3-0-0_108075_2017-05-14_final
2017-06-22 11:13:52	ga_ls8c_ard_3-0-0_109075_2017-06-22_final
2017-07-15 11:17:44	ga_ls8c_ard_3-0-0_110069_2017-07-15_final
2017-07-27 11:41:46	ga_ls8c_ard_3-0-0_114067_2017-07-27_final
2017-08-05 09:57:09	ga_ls8c_ard_3-0-0_097068_2017-08-05_final
2017-09-08 11:24:12	ga_ls8c_ard_3-0-0_111069_2017-09-08_final
2018-01-17 11:57:25	ga_ls8c_ard_3-0-0_116075_2018-01-17_final
2018-02-11 11:51:02	ga_ls8c_ard_3-0-0_115075_2018-02-11_final
2018-02-27 10:10:27	ga_ls8c_ard_3-0-0_099071_2018-02-27_final
2018-03-05 11:11:24	ga_ls8c_ard_3-0-0_109069_2018-03-05_final
2018-04-02 09:56:36	ga_ls8c_ard_3-0-0_097068_2018-04-02_final
2018-04-16 10:12:25	ga_ls8c_ard_3-0-0_099077_2018-04-16_final
2018-04-22 11:16:34	ga_ls8c_ard_3-0-0_109083_2018-04-22_final
2018-08-12 11:13:32	ga_ls8c_ard_3-1-0_109075_2018-08-12_final
2018-09-03 10:39:00	ga_ls8c_ard_3-0-0_103081_2018-09-03_final
2018-09-09 09:57:10	ga_ls8c_ard_3-0-0_097069_2018-09-09_final
2018-09-13 11:13:20	ga_ls8c_ard_3-0-0_109074_2018-09-13_final
2018-09-13 11:13:44	ga_ls8c_ard_3-0-0_109075_2018-09-13_final
2018-12-16 11:24:45	ga_ls8c_ard_3-0-0_111071_2018-12-16_final
2019-03-27 10:04:06	ga_ls8c_ard_3-1-0_098071_2019-03-27_final
2019-04-13 10:49:17	ga_ls8c_ard_3-1-0_105076_2019-04-13_final
2019-09-05 11:30:53	ga_ls8c_ard_3-1-0_112070_2019-09-05_final
2019-09-20 10:49:42	ga_ls8c_ard_3-1-0_105075_2019-09-20_final
2019-10-16 11:24:29	ga_ls8c_ard_3-1-0_111069_2019-10-16_final
2020-01-22 11:11:52	ga_ls8c_ard_3-1-0_109069_2020-01-22_final
2020-03-04 10:11:04	ga_ls8c_ard_3-1-0_099072_2020-03-04_final
2020-03-20 10:09:45	ga_ls8c_ard_3-1-0_099069_2020-03-20_final
2020-03-20 10:12:56	ga_ls8c_ard_3-1-0_099077_2020-03-20_final
2020-04-06 10:52:27	ga_ls8c_ard_3-1-0_106068_2020-04-06_final
2020-06-14 11:14:09	ga_ls8c_ard_3-1-0_109076_2020-06-14_final
2020-09-23 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-09-23_final
2020-10-19 10:33:36	ga_ls8c_ard_3-1-0_102081_2020-10-19_final
2020-10-25 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-10-25_final
2020-12-14 09:38:35	ga_ls8c_ard_3-1-0_094067_2020-12-14_final
2021-01-15 09:41:12	ga_ls8c_ard_3-2-0_094074_2021-01-15_final
2021-01-26 09:23:01	ga_ls8c_ard_3-2-0_091075_2021-01-25_final
2021-01-27 10:03:05	ga_ls8c_ard_3-2-0_098067_2021-01-27_final
2021-02-01 10:27:36	ga_ls8c_ard_3-2-0_101082_2021-02-01_final
2021-03-27 11:24:17	ga_ls8c_ard_3-2-0_111070_2021-03-27_final
2021-05-31 10:33:23	ga_ls8c_ard_3-2-0_102082_2021-05-31_final
2021-06-08 09:40:01	ga_ls8c_ard_3-2-0_094072_2021-06-08_final
2021-07-15 11:37:33	ga_ls8c_ard_3-2-0_113072_2021-07-15_final
2021-08-31 10:55:48	ga_ls8c_ard_3-2-0_106075_2021-08-31_final
2021-10-10 11:47:49	ga_ls8c_ard_3-2-0_114081_2021-10-10_final
2021-10-16 09:29:05	ga_ls8c_ard_3-2-0_092074_2021-10-15_final
2021-10-24 10:17:20	ga_ls8c_ard_3-2-0_100071_2021-10-24_final
2021-11-26 09:22:26	ga_ls8c_ard_3-2-0_091073_2021-11-25_final
2021-12-12 09:23:14	ga_ls8c_ard_3-2-1_091075_2021-12-11_final
2022-01-11 09:34:17	ga_ls8c_ard_3-2-1_093072_2022-01-11_final
2022-01-11 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-01-11_final
2022-02-06 11:53:20	ga_ls8c_ard_3-2-1_115080_2022-02-06_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-03-21 11:31:20	ga_ls8c_ard_3-2-1_112072_2022-03-21_final
2022-05-21 09:22:25	ga_ls8c_ard_3-2-1_091074_2022-05-20_final
2022-05-27 10:27:24	ga_ls8c_ard_3-2-1_101082_2022-05-27_final
2022-07-01 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-06-30_final
2022-07-15 09:28:53	ga_ls8c_ard_3-2-1_092074_2022-07-14_final
2022-09-17 09:35:41	ga_ls8c_ard_3-2-1_092090_2022-09-17_final
2022-09-27 10:03:36	ga_ls8c_ard_3-2-1_098067_2022-09-27_final
2022-10-12 09:23:24	ga_ls8c_ard_3-2-1_091075_2022-10-11_final
2022-10-19 11:08:30	ga_ls8c_ard_3-2-1_108075_2022-10-19_final
2022-11-13 09:22:16	ga_ls8c_ard_3-2-1_091072_2022-11-12_final
2022-11-25 11:25:02	ga_ls8c_ard_3-2-1_111070_2022-11-25_final
2022-12-06 11:08:30	ga_ls8c_ard_3-2-1_108075_2022-12-06_final
2022-12-08 09:17:39	ga_ls8c_ard_3-2-1_090076_2022-12-07_final
2022-12-31 11:00:35	ga_ls8c_ard_3-2-1_107071_2022-12-31_final
2023-01-23 09:28:12	ga_ls8c_ard_3-2-1_092072_2023-01-22_final
2023-01-24 10:13:28	ga_ls8c_ard_3-2-1_099077_2023-01-24_final
2023-03-26 11:18:08	ga_ls8c_ard_3-2-1_110070_2023-03-26_final
2023-06-02 10:54:53	ga_ls8c_ard_3-2-1_106075_2023-06-02_final
2023-07-10 10:19:23	ga_ls8c_ard_3-2-1_100078_2023-07-10_final
2023-07-20 09:16:24	ga_ls8c_ard_3-2-1_090075_2023-07-19_final
2023-07-27 09:28:16	ga_ls8c_ard_3-2-1_091089_2023-07-26_final
2023-08-10 11:13:59	ga_ls8c_ard_3-2-1_109075_2023-08-10_final
2023-09-29 09:22:12	ga_ls8c_ard_3-2-1_091073_2023-09-28_final
2023-10-06 09:34:22	ga_ls8c_ard_3-2-1_092088_2023-10-06_final
2023-11-12 09:46:09	ga_ls8c_ard_3-2-1_095071_2023-11-12_final
2023-12-10 10:10:51	ga_ls8c_ard_3-2-1_099071_2023-12-10_final
2023-12-26 10:14:07	ga_ls8c_ard_3-2-1_099079_2023-12-26_final
2023-12-27 10:53:23	ga_ls8c_ard_3-2-1_106069_2023-12-27_final
2023-12-30 11:25:51	ga_ls8c_ard_3-2-1_111073_2023-12-30_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