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

93 results

Time (local)	Label
2013-03-30 10:31:27	ga_ls8c_ard_3-1-0_102073_2013-03-30_final
2013-07-28 10:35:15	ga_ls8c_ard_3-0-0_102081_2013-07-28_final
2013-08-11 09:09:09	ga_ls8c_ard_3-0-0_088082_2013-08-10_final
2013-09-09 10:15:56	ga_ls8c_ard_3-0-0_099079_2013-09-09_final
2013-10-27 10:14:51	ga_ls8c_ard_3-0-0_099077_2013-10-27_final
2014-02-22 11:12:30	ga_ls8c_ard_3-0-0_109069_2014-02-22_final
2014-05-31 09:28:03	ga_ls8c_ard_3-0-0_091089_2014-05-30_final
2014-06-16 09:28:11	ga_ls8c_ard_3-0-0_091089_2014-06-15_final
2014-10-18 09:46:38	ga_ls8c_ard_3-0-0_095072_2014-10-18_final
2014-10-25 11:32:29	ga_ls8c_ard_3-0-0_112074_2014-10-25_final
2015-02-04 10:52:43	ga_ls8c_ard_3-0-0_106068_2015-02-04_final
2015-02-25 11:11:32	ga_ls8c_ard_3-0-0_109069_2015-02-25_final
2015-05-10 10:13:23	ga_ls8c_ard_3-0-0_099080_2015-05-10_final
2015-06-11 10:09:11	ga_ls8c_ard_3-0-0_099069_2015-06-11_final
2015-07-29 10:10:20	ga_ls8c_ard_3-0-0_099071_2015-07-29_final
2015-08-15 09:20:48	ga_ls8c_ard_3-0-0_090086_2015-08-14_final
2015-08-21 11:58:20	ga_ls8c_ard_3-0-0_116078_2015-08-21_final
2015-10-25 09:23:22	ga_ls8c_ard_3-0-0_091076_2015-10-24_final
2015-12-06 11:42:10	ga_ls8c_ard_3-0-0_113083_2015-12-06_final
2016-02-26 11:23:59	ga_ls8c_ard_3-0-0_111069_2016-02-26_final
2016-03-04 11:29:22	ga_ls8c_ard_3-0-0_112067_2016-03-04_final
2016-03-09 10:15:23	ga_ls8c_ard_3-0-0_099083_2016-03-09_final
2016-03-10 10:52:39	ga_ls8c_ard_3-0-0_106068_2016-03-10_final
2016-03-18 10:04:21	ga_ls8c_ard_3-1-0_098071_2016-03-18_final
2016-04-08 10:25:30	ga_ls8c_ard_3-0-0_101078_2016-04-08_final
2016-05-23 11:29:53	ga_ls8c_ard_3-0-0_112069_2016-05-23_final
2016-07-21 11:14:06	ga_ls8c_ard_3-1-0_109075_2016-07-21_final
2016-08-22 11:17:50	ga_ls8c_ard_3-0-0_109084_2016-08-22_final
2016-10-23 09:47:09	ga_ls8c_ard_3-0-0_095073_2016-10-23_final
2017-03-23 09:57:24	ga_ls8c_ard_3-0-0_096085_2017-03-23_final
2017-03-28 10:12:43	ga_ls8c_ard_3-0-0_099077_2017-03-28_final
2017-06-04 09:44:02	ga_ls8c_ard_3-0-0_095067_2017-06-04_final
2017-08-17 10:25:32	ga_ls8c_ard_3-0-0_101077_2017-08-17_final
2017-09-04 10:13:14	ga_ls8c_ard_3-0-0_099077_2017-09-04_final
2017-12-02 11:45:10	ga_ls8c_ard_3-0-0_114075_2017-12-02_final
2017-12-16 10:17:05	ga_ls8c_ard_3-0-0_100071_2017-12-16_final
2017-12-30 10:33:01	ga_ls8c_ard_3-0-0_102080_2017-12-30_final
2018-01-30 11:23:12	ga_ls8c_ard_3-0-0_111067_2018-01-30_final
2018-03-31 10:13:46	ga_ls8c_ard_3-0-0_099080_2018-03-31_final
2018-05-18 10:14:30	ga_ls8c_ard_3-0-0_099083_2018-05-18_final
2018-09-13 11:17:20	ga_ls8c_ard_3-0-0_109084_2018-09-13_final
2018-11-17 10:19:14	ga_ls8c_ard_3-0-0_100077_2018-11-17_final
2018-11-24 10:25:25	ga_ls8c_ard_3-0-0_101077_2018-11-24_final
2018-11-30 11:25:12	ga_ls8c_ard_3-0-0_111072_2018-11-30_final
2018-12-04 09:21:35	ga_ls8c_ard_3-0-0_091072_2018-12-03_final
2019-01-24 09:57:58	ga_ls8c_ard_3-0-0_096086_2019-01-24_final
2019-03-18 10:12:42	ga_ls8c_ard_3-1-0_099077_2019-03-18_final
2019-05-16 11:31:51	ga_ls8c_ard_3-0-0_112074_2019-05-16_final
2019-08-20 09:58:20	ga_ls8c_ard_3-1-0_096086_2019-08-20_final
2019-10-15 09:07:31	ga_ls8c_ard_3-1-0_088082_2019-10-14_final
2019-10-16 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-10-16_final
2020-01-27 11:29:59	ga_ls8c_ard_3-1-0_112068_2020-01-27_final
2020-05-15 09:21:30	ga_ls8c_ard_3-1-0_091073_2020-05-14_final
2020-06-08 10:12:42	ga_ls8c_ard_3-1-0_099077_2020-06-08_final
2020-06-12 11:23:42	ga_ls8c_ard_3-1-0_111069_2020-06-12_final
2020-09-18 11:14:47	ga_ls8c_ard_3-1-0_109076_2020-09-18_final
2020-10-16 11:38:47	ga_ls8c_ard_3-1-0_113074_2020-10-16_final
2020-12-02 10:52:44	ga_ls8c_ard_3-1-0_106067_2020-12-02_final
2021-01-01 09:28:56	ga_ls8c_ard_3-2-0_092074_2020-12-31_final
2021-02-25 11:14:08	ga_ls8c_ard_3-2-0_109075_2021-02-25_final
2021-03-08 10:53:07	ga_ls8c_ard_3-2-0_106069_2021-03-08_final
2021-04-03 11:32:02	ga_ls8c_ard_3-2-0_112074_2021-04-03_final
2021-05-16 11:14:07	ga_ls8c_ard_3-2-0_109076_2021-05-16_final
2021-06-12 09:20:31	ga_ls8c_ard_3-2-0_090085_2021-06-11_final
2021-09-13 10:28:09	ga_ls8c_ard_3-2-0_101083_2021-09-13_final
2021-09-21 11:14:25	ga_ls8c_ard_3-2-0_109075_2021-09-21_final
2021-11-25 10:17:39	ga_ls8c_ard_3-2-0_100072_2021-11-25_final
2021-12-20 10:13:51	ga_ls8c_ard_3-2-1_099078_2021-12-20_final
2021-12-29 10:07:36	ga_ls8c_ard_3-2-1_098078_2021-12-29_final
2022-01-11 09:34:41	ga_ls8c_ard_3-2-1_093073_2022-01-11_final
2022-01-11 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-01-11_final
2022-04-06 09:57:33	ga_ls8c_ard_3-2-1_096085_2022-04-06_final
2022-04-11 11:51:01	ga_ls8c_ard_3-2-1_115075_2022-04-11_final
2022-05-20 10:16:51	ga_ls8c_ard_3-2-1_100071_2022-05-20_final
2022-07-14 10:22:54	ga_ls8c_ard_3-2-1_101070_2022-07-14_final
2022-07-22 11:14:50	ga_ls8c_ard_3-2-1_109076_2022-07-22_final
2022-07-24 09:22:25	ga_ls8c_ard_3-2-1_091073_2022-07-23_final
2022-10-08 09:50:58	ga_ls8c_ard_3-2-1_095082_2022-10-08_final
2023-02-10 10:53:55	ga_ls8c_ard_3-2-1_106070_2023-02-10_final
2023-03-29 10:10:08	ga_ls8c_ard_3-2-1_099070_2023-03-29_final
2023-08-06 09:57:50	ga_ls8c_ard_3-2-1_097070_2023-08-06_final
2023-09-09 11:24:05	ga_ls8c_ard_3-2-1_111069_2023-09-09_final
2023-12-03 10:07:30	ga_ls8c_ard_3-2-1_098078_2023-12-03_final
2023-12-28 09:58:33	ga_ls8c_ard_3-2-1_097071_2023-12-28_final
2024-01-12 10:53:43	ga_ls8c_ard_3-2-1_106070_2024-01-12_final
2024-01-15 11:24:37	ga_ls8c_ard_3-2-1_111070_2024-01-15_final
2024-01-21 09:10:36	ga_ls8c_ard_3-2-1_089075_2024-01-20_final
2024-01-31 11:25:44	ga_ls8c_ard_3-2-1_111073_2024-01-31_final
2024-02-01 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-01_final
2024-02-11 09:28:46	ga_ls8c_ard_3-2-1_092074_2024-02-10_final
2024-02-25 11:23:08	ga_ls8c_ard_3-2-1_110082_2024-02-25_final
2024-03-15 10:10:57	ga_ls8c_ard_3-2-1_099072_2024-03-15_final
2024-03-17 11:38:15	ga_ls8c_ard_3-2-1_113074_2024-03-17_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