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

96 results

Time (local)	Label
2013-05-19 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-05-19_final
2013-06-05 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-06-05_final
2014-01-21 11:12:52	ga_ls8c_ard_3-0-0_109069_2014-01-21_final
2014-06-28 11:23:25	ga_ls8c_ard_3-0-0_111068_2014-06-28_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-08-28 10:52:28	ga_ls8c_ard_3-0-0_106067_2014-08-28_final
2014-10-24 09:10:44	ga_ls8c_ard_3-0-0_089075_2014-10-23_final
2014-11-17 09:58:10	ga_ls8c_ard_3-0-0_097070_2014-11-17_final
2014-12-11 09:16:11	ga_ls8c_ard_3-0-0_089089_2014-12-10_final
2014-12-20 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-12-19_final
2015-06-04 10:02:07	ga_ls8c_ard_3-0-0_098067_2015-06-04_final
2015-11-28 09:11:52	ga_ls8c_ard_3-0-0_089078_2015-11-27_final
2015-12-17 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-17_final
2016-01-15 10:46:42	ga_ls8c_ard_3-0-0_105068_2016-01-15_final
2016-04-23 11:17:26	ga_ls8c_ard_3-0-0_110069_2016-04-23_final
2016-05-17 10:32:49	ga_ls8c_ard_3-0-0_102081_2016-05-17_final
2016-08-24 09:29:00	ga_ls8c_ard_3-0-0_091090_2016-08-23_final
2016-10-15 10:39:46	ga_ls8c_ard_3-0-0_103081_2016-10-15_final
2016-11-15 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-11-15_final
2016-11-27 10:19:38	ga_ls8c_ard_3-0-0_100077_2016-11-27_final
2017-01-22 09:28:47	ga_ls8c_ard_3-0-0_092074_2017-01-21_final
2017-02-22 10:27:47	ga_ls8c_ard_3-0-0_101083_2017-02-22_final
2017-02-28 09:46:16	ga_ls8c_ard_3-0-0_095072_2017-02-28_final
2017-03-12 10:10:53	ga_ls8c_ard_3-0-0_099072_2017-03-12_final
2017-03-23 11:35:29	ga_ls8c_ard_3-0-0_112083_2017-03-23_final
2017-04-13 10:12:36	ga_ls8c_ard_3-0-0_099077_2017-04-13_final
2017-04-26 09:43:33	ga_ls8c_ard_3-0-0_094082_2017-04-26_final
2017-05-05 09:34:08	ga_ls8c_ard_3-0-0_093074_2017-05-05_final
2017-06-10 09:13:47	ga_ls8c_ard_3-0-0_089084_2017-06-09_final
2017-08-02 09:33:49	ga_ls8c_ard_3-0-0_092087_2017-08-02_final
2017-12-02 10:10:17	ga_ls8c_ard_3-0-0_098085_2017-12-02_final
2018-02-06 11:30:31	ga_ls8c_ard_3-0-0_112070_2018-02-06_final
2018-02-06 11:36:07	ga_ls8c_ard_3-0-0_112084_2018-02-06_final
2018-08-07 09:16:27	ga_ls8c_ard_3-0-0_090076_2018-08-06_final
2018-08-31 10:07:17	ga_ls8c_ard_3-0-0_098079_2018-08-31_final
2018-09-14 11:58:12	ga_ls8c_ard_3-0-0_116078_2018-09-14_final
2018-09-24 09:17:10	ga_ls8c_ard_3-0-0_090077_2018-09-23_final
2018-11-24 10:25:25	ga_ls8c_ard_3-0-0_101077_2018-11-24_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-01-25 10:34:02	ga_ls8c_ard_3-0-0_103068_2019-01-25_final
2019-03-17 09:29:03	ga_ls8c_ard_3-1-0_092076_2019-03-16_final
2019-05-02 11:16:32	ga_ls8c_ard_3-0-0_110067_2019-05-02_final
2019-06-15 10:07:10	ga_ls8c_ard_3-1-0_098078_2019-06-15_final
2019-08-03 09:10:35	ga_ls8c_ard_3-1-0_089075_2019-08-02_final
2019-08-26 09:17:17	ga_ls8c_ard_3-1-0_090076_2019-08-25_final
2019-09-20 09:10:25	ga_ls8c_ard_3-1-0_089074_2019-09-19_final
2019-10-16 09:46:00	ga_ls8c_ard_3-1-0_095070_2019-10-16_final
2019-12-31 10:10:09	ga_ls8c_ard_3-1-0_099069_2019-12-31_final
2020-01-19 10:46:10	ga_ls8c_ard_3-1-0_104082_2020-01-19_final
2020-01-31 09:25:58	ga_ls8c_ard_3-1-0_092067_2020-01-30_final
2020-02-11 10:46:39	ga_ls8c_ard_3-1-0_105068_2020-02-11_final
2020-04-21 10:09:05	ga_ls8c_ard_3-1-0_099068_2020-04-21_final
2020-08-26 11:06:27	ga_ls8c_ard_3-1-0_108071_2020-08-26_final
2020-09-26 10:28:10	ga_ls8c_ard_3-1-0_101083_2020-09-26_final
2020-10-25 11:36:11	ga_ls8c_ard_3-1-0_112083_2020-10-25_final
2020-12-05 11:24:51	ga_ls8c_ard_3-1-0_111070_2020-12-05_final
2021-01-18 10:13:16	ga_ls8c_ard_3-2-0_099077_2021-01-18_final
2021-01-28 09:13:03	ga_ls8c_ard_3-2-0_089081_2021-01-27_final
2021-01-29 09:58:18	ga_ls8c_ard_3-2-0_096086_2021-01-29_final
2021-06-01 09:34:11	ga_ls8c_ard_3-2-0_093073_2021-06-01_final
2021-07-20 10:19:39	ga_ls8c_ard_3-2-0_100078_2021-07-20_final
2021-08-08 09:14:13	ga_ls8c_ard_3-2-0_089084_2021-08-07_final
2021-08-14 11:52:33	ga_ls8c_ard_3-2-0_115078_2021-08-14_final
2021-10-06 10:30:27	ga_ls8c_ard_3-2-0_102073_2021-10-06_final
2021-10-24 10:17:20	ga_ls8c_ard_3-2-0_100071_2021-10-24_final
2021-11-06 09:47:13	ga_ls8c_ard_3-2-0_095073_2021-11-06_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-01-14 10:07:34	ga_ls8c_ard_3-2-1_098078_2022-01-14_final
2022-01-24 09:06:54	ga_ls8c_ard_3-2-1_088081_2022-01-23_final
2022-02-03 11:18:27	ga_ls8c_ard_3-2-1_110070_2022-02-03_final
2022-03-05 11:31:28	ga_ls8c_ard_3-2-1_112072_2022-03-05_final
2022-03-20 10:48:53	ga_ls8c_ard_3-2-1_105074_2022-03-20_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-04-11 10:12:56	ga_ls8c_ard_3-2-1_099077_2022-04-11_final
2022-05-18 10:28:48	ga_ls8c_ard_3-2-1_102070_2022-05-18_final
2022-06-13 09:34:00	ga_ls8c_ard_3-2-1_092087_2022-06-13_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-10-26 11:18:20	ga_ls8c_ard_3-2-1_109084_2022-10-26_final
2023-01-02 10:50:13	ga_ls8c_ard_3-2-1_105076_2023-01-02_final
2023-01-18 09:11:59	ga_ls8c_ard_3-2-1_089078_2023-01-17_final
2023-03-05 09:22:07	ga_ls8c_ard_3-2-1_091073_2023-03-04_final
2023-03-29 10:13:44	ga_ls8c_ard_3-2-1_099079_2023-03-29_final
2023-04-28 10:27:22	ga_ls8c_ard_3-2-1_101083_2023-04-28_final
2023-06-26 10:06:52	ga_ls8c_ard_3-2-1_098078_2023-06-26_final
2023-06-27 09:14:27	ga_ls8c_ard_3-2-1_089086_2023-06-26_final
2023-08-12 09:27:32	ga_ls8c_ard_3-2-1_091087_2023-08-11_final
2023-08-30 09:16:06	ga_ls8c_ard_3-2-1_089089_2023-08-29_final
2023-09-09 11:23:41	ga_ls8c_ard_3-2-1_111068_2023-09-09_final
2023-09-12 10:18:08	ga_ls8c_ard_3-2-1_100074_2023-09-12_final
2023-09-13 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-09-12_final
2023-10-08 10:54:31	ga_ls8c_ard_3-2-1_106072_2023-10-08_final
2024-02-12 10:11:13	ga_ls8c_ard_3-2-1_099072_2024-02-12_final
2024-02-15 10:42:29	ga_ls8c_ard_3-2-1_104073_2024-02-15_final
2024-03-17 10:03:21	ga_ls8c_ard_3-2-1_097084_2024-03-17_final
2024-03-25 09:11:47	ga_ls8c_ard_3-2-1_089079_2024-03-24_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years