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

98 results

Time (local)	Label
2013-04-01 10:08:51	ga_ls8c_ard_3-0-0_099070_2013-04-01_final
2013-08-25 09:18:45	ga_ls8c_ard_3-0-0_090075_2013-08-24_final
2014-09-29 09:17:14	ga_ls8c_ard_3-0-0_090076_2014-09-28_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-11-25 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-11-25_final
2015-01-12 09:13:45	ga_ls8c_ard_3-0-0_089083_2015-01-11_final
2015-03-06 09:33:34	ga_ls8c_ard_3-0-0_092087_2015-03-06_final
2015-04-10 09:56:08	ga_ls8c_ard_3-0-0_097067_2015-04-10_final
2015-04-28 11:23:22	ga_ls8c_ard_3-0-0_111069_2015-04-28_final
2015-05-02 09:26:53	ga_ls8c_ard_3-0-0_091087_2015-05-01_final
2015-05-21 11:28:55	ga_ls8c_ard_3-0-0_112068_2015-05-21_final
2015-06-28 09:16:27	ga_ls8c_ard_3-0-0_090076_2015-06-27_final
2015-07-07 09:09:35	ga_ls8c_ard_3-0-0_089074_2015-07-06_final
2015-07-24 09:57:46	ga_ls8c_ard_3-0-0_096086_2015-07-24_final
2015-11-12 09:10:13	ga_ls8c_ard_3-0-0_089074_2015-11-11_final
2015-11-24 09:34:12	ga_ls8c_ard_3-0-0_093072_2015-11-24_final
2015-12-20 10:10:28	ga_ls8c_ard_3-0-0_099070_2015-12-20_final
2016-01-15 09:10:36	ga_ls8c_ard_3-0-0_089075_2016-01-14_final
2016-02-26 09:51:53	ga_ls8c_ard_3-0-0_095086_2016-02-26_final
2016-02-28 09:33:56	ga_ls8c_ard_3-0-0_093072_2016-02-28_final
2016-04-01 10:16:33	ga_ls8c_ard_3-0-0_100071_2016-04-01_final
2016-08-05 10:33:17	ga_ls8c_ard_3-0-0_102081_2016-08-05_final
2016-09-14 11:18:08	ga_ls8c_ard_3-0-0_110069_2016-09-14_final
2016-09-23 09:34:17	ga_ls8c_ard_3-0-0_093072_2016-09-23_final
2016-10-23 11:24:50	ga_ls8c_ard_3-0-0_111070_2016-10-23_final
2016-12-05 09:28:59	ga_ls8c_ard_3-0-0_092074_2016-12-04_final
2017-06-04 09:45:14	ga_ls8c_ard_3-0-0_095070_2017-06-04_final
2017-08-02 09:28:38	ga_ls8c_ard_3-0-0_092074_2017-08-01_final
2017-10-05 09:28:55	ga_ls8c_ard_3-0-0_092074_2017-10-04_final
2017-12-13 09:45:46	ga_ls8c_ard_3-0-0_095070_2017-12-13_final
2017-12-29 09:52:10	ga_ls8c_ard_3-0-0_095086_2017-12-29_final
2018-01-03 10:09:52	ga_ls8c_ard_3-0-0_098084_2018-01-03_final
2018-02-26 11:06:05	ga_ls8c_ard_3-0-0_108071_2018-02-26_final
2018-02-28 09:16:49	ga_ls8c_ard_3-0-0_090076_2018-02-27_final
2018-03-23 09:22:00	ga_ls8c_ard_3-0-0_091074_2018-03-22_final
2018-04-17 09:16:00	ga_ls8c_ard_3-0-0_090075_2018-04-16_final
2018-08-05 09:28:00	ga_ls8c_ard_3-0-0_092074_2018-08-04_final
2018-08-11 10:32:39	ga_ls8c_ard_3-0-0_102081_2018-08-11_final
2019-02-14 10:09:16	ga_ls8c_ard_3-0-0_099068_2019-02-14_final
2019-07-14 11:14:28	ga_ls8c_ard_3-1-0_109076_2019-07-14_final
2019-07-30 11:14:34	ga_ls8c_ard_3-1-0_109076_2019-07-30_final
2019-08-09 10:13:13	ga_ls8c_ard_3-1-0_099077_2019-08-09_final
2019-08-20 09:58:20	ga_ls8c_ard_3-1-0_096086_2019-08-20_final
2019-09-11 09:17:21	ga_ls8c_ard_3-1-0_090076_2019-09-10_final
2019-12-14 11:08:14	ga_ls8c_ard_3-2-0_108075_2019-12-14_final
2019-12-28 09:40:04	ga_ls8c_ard_3-1-0_094071_2019-12-28_final
2020-01-11 11:32:27	ga_ls8c_ard_3-1-0_112074_2020-01-11_final
2020-04-02 09:45:06	ga_ls8c_ard_3-1-0_094085_2020-04-02_final
2020-04-18 11:19:53	ga_ls8c_ard_3-1-0_110075_2020-04-18_final
2020-06-14 11:14:09	ga_ls8c_ard_3-1-0_109076_2020-06-14_final
2020-07-07 11:20:08	ga_ls8c_ard_3-1-0_110075_2020-07-07_final
2020-09-02 11:14:17	ga_ls8c_ard_3-1-0_109075_2020-09-02_final
2020-09-13 09:16:56	ga_ls8c_ard_3-1-0_090075_2020-09-12_final
2020-10-19 10:33:36	ga_ls8c_ard_3-1-0_102081_2020-10-19_final
2020-12-02 09:17:27	ga_ls8c_ard_3-1-0_090076_2020-12-01_final
2020-12-18 10:53:08	ga_ls8c_ard_3-2-0_106068_2020-12-18_final
2021-01-08 09:34:40	ga_ls8c_ard_3-2-0_093073_2021-01-08_final
2021-02-21 09:57:37	ga_ls8c_ard_3-2-0_097069_2021-02-21_final
2021-02-25 11:14:08	ga_ls8c_ard_3-2-0_109075_2021-02-25_final
2021-02-27 09:21:41	ga_ls8c_ard_3-2-0_091072_2021-02-26_final
2021-03-11 09:46:18	ga_ls8c_ard_3-2-0_095072_2021-03-11_final
2021-04-30 11:14:05	ga_ls8c_ard_3-2-0_109076_2021-04-30_final
2021-06-12 10:55:24	ga_ls8c_ard_3-2-0_106075_2021-06-12_final
2021-07-07 10:49:42	ga_ls8c_ard_3-2-0_105076_2021-07-07_final
2021-07-13 10:13:26	ga_ls8c_ard_3-2-0_099078_2021-07-13_final
2021-07-14 09:17:00	ga_ls8c_ard_3-2-0_090076_2021-07-13_final
2021-08-15 09:17:15	ga_ls8c_ard_3-2-0_090076_2021-08-14_final
2021-08-20 11:14:18	ga_ls8c_ard_3-2-0_109075_2021-08-20_final
2021-11-09 10:22:05	ga_ls8c_ard_3-2-0_100083_2021-11-09_final
2022-01-15 09:10:21	ga_ls8c_ard_3-2-1_089074_2022-01-14_final
2022-01-20 11:06:09	ga_ls8c_ard_3-2-1_108070_2022-01-20_final
2022-02-01 09:52:43	ga_ls8c_ard_3-2-1_096072_2022-02-01_final
2022-02-05 11:08:04	ga_ls8c_ard_3-2-1_108075_2022-02-05_final
2022-03-01 10:16:55	ga_ls8c_ard_3-2-1_100071_2022-03-01_final
2022-04-01 09:33:47	ga_ls8c_ard_3-2-1_093072_2022-04-01_final
2022-04-20 10:02:22	ga_ls8c_ard_3-2-1_098066_2022-04-20_final
2022-06-13 11:08:06	ga_ls8c_ard_3-2-1_108075_2022-06-13_final
2022-09-01 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-31_final
2022-10-02 10:24:31	ga_ls8c_ard_3-2-1_101073_2022-10-02_final
2022-10-15 09:57:29	ga_ls8c_ard_3-2-1_096083_2022-10-15_final
2022-11-11 09:35:02	ga_ls8c_ard_3-2-1_093073_2022-11-11_final
2022-11-24 09:08:05	ga_ls8c_ard_3-2-1_088083_2022-11-23_final
2023-02-10 10:53:55	ga_ls8c_ard_3-2-1_106070_2023-02-10_final
2023-03-10 09:39:48	ga_ls8c_ard_3-2-1_094071_2023-03-10_final
2023-05-29 09:39:08	ga_ls8c_ard_3-2-1_094071_2023-05-29_final
2023-06-30 11:18:42	ga_ls8c_ard_3-2-1_110072_2023-06-30_final
2023-07-25 09:34:12	ga_ls8c_ard_3-2-1_093073_2023-07-25_final
2023-08-27 11:57:23	ga_ls8c_ard_3-2-1_116075_2023-08-27_final
2023-08-27 11:57:47	ga_ls8c_ard_3-2-1_116076_2023-08-27_final
2023-09-04 09:33:50	ga_ls8c_ard_3-2-1_092087_2023-09-04_final
2023-09-25 11:24:11	ga_ls8c_ard_3-2-1_111069_2023-09-25_final
2023-10-01 10:49:32	ga_ls8c_ard_3-2-1_105075_2023-10-01_final
2023-11-12 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-11-12_final
2023-11-27 09:07:46	ga_ls8c_ard_3-2-1_088083_2023-11-26_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2024-02-16 11:24:09	ga_ls8c_ard_3-2-1_111069_2024-02-16_final
2024-02-22 09:10:11	ga_ls8c_ard_3-2-1_089074_2024-02-21_final
2024-02-22 09:10:34	ga_ls8c_ard_3-2-1_089075_2024-02-21_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