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
2013-04-02 10:52:12	ga_ls8c_ard_3-0-0_105082_2013-04-02_final
2013-06-25 09:53:55	ga_ls8c_ard_3-0-0_095086_2013-06-25_final
2013-07-04 09:40:12	ga_ls8c_ard_3-0-0_094067_2013-07-04_final
2013-09-30 10:35:08	ga_ls8c_ard_3-0-0_102081_2013-09-30_final
2013-10-27 10:15:15	ga_ls8c_ard_3-0-0_099078_2013-10-27_final
2014-05-14 10:19:16	ga_ls8c_ard_3-0-0_100078_2014-05-14_final
2014-06-24 10:13:14	ga_ls8c_ard_3-0-0_099078_2014-06-24_final
2014-09-20 09:22:12	ga_ls8c_ard_3-0-0_091073_2014-09-19_final
2015-01-10 11:02:37	ga_ls8c_ard_3-0-0_107077_2015-01-10_final
2015-03-13 11:11:20	ga_ls8c_ard_3-0-0_109069_2015-03-13_final
2015-04-07 09:27:14	ga_ls8c_ard_3-0-0_092072_2015-04-06_final
2015-05-11 10:51:27	ga_ls8c_ard_3-0-0_106067_2015-05-11_final
2015-07-26 09:37:50	ga_ls8c_ard_3-0-0_094067_2015-07-26_final
2015-09-25 09:13:42	ga_ls8c_ard_3-0-0_089083_2015-09-24_final
2015-10-01 10:13:32	ga_ls8c_ard_3-0-0_099078_2015-10-01_final
2015-12-14 09:10:15	ga_ls8c_ard_3-0-0_089074_2015-12-13_final
2016-01-27 09:34:31	ga_ls8c_ard_3-0-0_093073_2016-01-27_final
2016-02-12 09:34:01	ga_ls8c_ard_3-0-0_093072_2016-02-12_final
2016-05-20 09:19:41	ga_ls8c_ard_3-0-0_091068_2016-05-19_final
2016-06-29 10:13:21	ga_ls8c_ard_3-0-0_099078_2016-06-29_final
2016-08-14 10:25:32	ga_ls8c_ard_3-0-0_101077_2016-08-14_final
2016-08-31 09:28:50	ga_ls8c_ard_3-0-0_092074_2016-08-30_final
2016-11-26 09:33:59	ga_ls8c_ard_3-0-0_093071_2016-11-26_final
2016-12-28 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-12-28_final
2017-02-25 09:16:59	ga_ls8c_ard_3-0-0_090076_2017-02-24_final
2017-02-25 09:20:58	ga_ls8c_ard_3-0-0_090086_2017-02-24_final
2017-08-03 10:13:06	ga_ls8c_ard_3-0-0_099077_2017-08-03_final
2017-08-13 09:10:33	ga_ls8c_ard_3-0-0_089075_2017-08-12_final
2017-08-21 09:56:51	ga_ls8c_ard_3-0-0_097067_2017-08-21_final
2017-09-26 09:34:15	ga_ls8c_ard_3-0-0_093072_2017-09-26_final
2017-12-03 09:11:52	ga_ls8c_ard_3-0-0_089078_2017-12-02_final
2017-12-06 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-12-06_final
2017-12-06 11:18:03	ga_ls8c_ard_3-0-0_110069_2017-12-06_final
2018-01-09 09:28:46	ga_ls8c_ard_3-0-0_092074_2018-01-08_final
2018-01-20 10:47:25	ga_ls8c_ard_3-0-0_105070_2018-01-20_final
2018-02-03 09:21:33	ga_ls8c_ard_3-0-0_091072_2018-02-02_final
2018-02-26 11:06:05	ga_ls8c_ard_3-0-0_108071_2018-02-26_final
2018-09-06 09:27:27	ga_ls8c_ard_3-0-0_092072_2018-09-05_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2018-12-23 11:30:33	ga_ls8c_ard_3-0-0_112070_2018-12-23_final
2018-12-29 09:20:58	ga_ls8c_ard_3-0-0_090086_2018-12-28_final
2019-02-11 09:39:59	ga_ls8c_ard_3-0-0_094072_2019-02-11_final
2019-03-24 11:13:42	ga_ls8c_ard_3-1-0_109075_2019-03-24_final
2019-04-22 09:05:45	ga_ls8c_ard_3-0-0_088080_2019-04-21_final
2019-05-05 10:12:58	ga_ls8c_ard_3-0-0_099078_2019-05-05_final
2019-06-19 09:40:04	ga_ls8c_ard_3-1-0_094072_2019-06-19_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-08-25 10:13:18	ga_ls8c_ard_3-1-0_099077_2019-08-25_final
2019-12-07 09:22:00	ga_ls8c_ard_3-1-0_091072_2019-12-06_final
2019-12-19 11:25:10	ga_ls8c_ard_3-2-0_111071_2019-12-19_final
2020-01-18 11:37:49	ga_ls8c_ard_3-1-0_113072_2020-01-18_final
2020-01-23 10:17:27	ga_ls8c_ard_3-1-0_100072_2020-01-23_final
2020-01-29 11:18:01	ga_ls8c_ard_3-1-0_110069_2020-01-29_final
2020-03-04 10:10:16	ga_ls8c_ard_3-1-0_099070_2020-03-04_final
2020-07-09 09:27:42	ga_ls8c_ard_3-1-0_092072_2020-07-08_final
2020-07-11 10:58:13	ga_ls8c_ard_3-1-0_106082_2020-07-11_final
2020-08-26 09:25:59	ga_ls8c_ard_3-1-0_092067_2020-08-25_final
2020-09-01 10:33:25	ga_ls8c_ard_3-1-0_102081_2020-09-01_final
2020-09-13 09:16:56	ga_ls8c_ard_3-1-0_090075_2020-09-12_final
2020-10-13 09:29:00	ga_ls8c_ard_3-1-0_092074_2020-10-12_final
2021-01-08 11:11:58	ga_ls8c_ard_3-2-0_109069_2021-01-08_final
2021-01-20 09:58:30	ga_ls8c_ard_3-2-0_097071_2021-01-20_final
2021-01-28 09:12:15	ga_ls8c_ard_3-2-0_089079_2021-01-27_final
2021-01-29 11:36:24	ga_ls8c_ard_3-2-0_112084_2021-01-29_final
2021-02-08 10:29:22	ga_ls8c_ard_3-2-0_102071_2021-02-08_final
2021-02-27 09:23:17	ga_ls8c_ard_3-2-0_091076_2021-02-26_final
2021-05-16 11:14:07	ga_ls8c_ard_3-2-0_109076_2021-05-16_final
2021-07-11 10:22:36	ga_ls8c_ard_3-2-0_101070_2021-07-11_final
2021-09-07 09:23:08	ga_ls8c_ard_3-2-0_091075_2021-09-06_final
2021-11-04 11:38:04	ga_ls8c_ard_3-2-0_113072_2021-11-04_final
2021-11-13 11:31:02	ga_ls8c_ard_3-2-0_112070_2021-11-13_final
2022-01-11 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-01-11_final
2022-04-01 11:13:28	ga_ls8c_ard_3-2-1_109074_2022-04-01_final
2022-04-16 10:28:42	ga_ls8c_ard_3-2-1_102070_2022-04-16_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-07-07 10:19:56	ga_ls8c_ard_3-2-1_100078_2022-07-07_final
2022-07-22 11:14:26	ga_ls8c_ard_3-2-1_109075_2022-07-22_final
2022-11-18 11:18:25	ga_ls8c_ard_3-2-1_110069_2022-11-18_final
2022-12-07 10:13:40	ga_ls8c_ard_3-2-1_099077_2022-12-07_final
2022-12-08 10:58:55	ga_ls8c_ard_3-2-1_106082_2022-12-08_final
2022-12-15 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-12-14_final
2022-12-24 09:23:04	ga_ls8c_ard_3-2-1_090090_2022-12-23_final
2023-01-12 11:24:51	ga_ls8c_ard_3-2-1_111070_2023-01-12_final
2023-02-25 10:11:11	ga_ls8c_ard_3-2-1_099072_2023-02-25_final
2023-04-13 09:27:25	ga_ls8c_ard_3-2-1_092072_2023-04-12_final
2023-05-17 09:16:21	ga_ls8c_ard_3-2-1_090076_2023-05-16_final
2023-06-12 11:30:54	ga_ls8c_ard_3-2-1_112072_2023-06-12_final
2023-06-25 09:27:11	ga_ls8c_ard_3-2-1_091087_2023-06-24_final
2023-10-13 09:34:37	ga_ls8c_ard_3-2-1_093073_2023-10-13_final
2023-10-22 09:28:01	ga_ls8c_ard_3-2-1_092072_2023-10-21_final
2023-10-29 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-10-29_final
2023-11-24 10:10:11	ga_ls8c_ard_3-2-1_099069_2023-11-24_final
2023-12-07 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-12-07_final
2023-12-14 09:47:23	ga_ls8c_ard_3-2-1_095074_2023-12-14_final
2024-02-29 09:20:41	ga_ls8c_ard_3-2-1_090085_2024-02-28_final
2024-03-18 09:04:32	ga_ls8c_ard_3-2-1_088076_2024-03-17_interim
2024-04-18 11:37:08	ga_ls8c_ard_3-2-1_113072_2024-04-18_nrt
2024-04-23 10:16:22	ga_ls8c_ard_3-2-1_100071_2024-04-23_nrt

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