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

81 results

Time (local)	Label
2013-07-23 10:15:29	ga_ls8c_ard_3-0-0_099078_2013-07-23_final
2013-08-21 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-08-21_final
2013-10-08 09:40:07	ga_ls8c_ard_3-0-0_094067_2013-10-08_final
2013-10-26 09:30:24	ga_ls8c_ard_3-0-0_092074_2013-10-26_final
2014-07-21 11:30:09	ga_ls8c_ard_3-0-0_112069_2014-07-21_final
2014-09-06 10:49:56	ga_ls8c_ard_3-0-0_105076_2014-09-06_final
2014-11-25 09:10:42	ga_ls8c_ard_3-0-0_089075_2014-11-24_final
2014-12-12 11:31:56	ga_ls8c_ard_3-0-0_112073_2014-12-12_final
2014-12-16 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-12-15_final
2014-12-18 09:17:13	ga_ls8c_ard_3-0-0_090076_2014-12-17_final
2015-01-10 09:21:44	ga_ls8c_ard_3-0-0_091072_2015-01-09_final
2015-02-16 09:38:02	ga_ls8c_ard_3-0-0_094067_2015-02-16_final
2015-02-19 10:09:20	ga_ls8c_ard_3-0-0_099068_2015-02-19_final
2015-03-13 09:34:02	ga_ls8c_ard_3-0-0_093073_2015-03-13_final
2015-04-21 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-21_final
2015-07-30 09:16:43	ga_ls8c_ard_3-0-0_090076_2015-07-29_final
2015-08-13 09:28:21	ga_ls8c_ard_3-0-0_092074_2015-08-12_final
2015-09-14 09:27:47	ga_ls8c_ard_3-0-0_092072_2015-09-13_final
2015-10-16 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-10-15_final
2015-11-01 09:27:58	ga_ls8c_ard_3-0-0_092072_2015-10-31_final
2015-12-29 10:05:28	ga_ls8c_ard_3-0-0_098073_2015-12-29_final
2016-01-22 10:52:29	ga_ls8c_ard_3-0-0_106067_2016-01-22_final
2016-05-20 09:21:40	ga_ls8c_ard_3-0-0_091073_2016-05-19_final
2016-08-31 09:28:50	ga_ls8c_ard_3-0-0_092074_2016-08-30_final
2016-11-01 11:18:16	ga_ls8c_ard_3-0-0_110069_2016-11-01_final
2017-01-06 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-01-06_final
2017-04-21 09:21:05	ga_ls8c_ard_3-0-0_091072_2017-04-20_final
2017-06-17 09:21:12	ga_ls8c_ard_3-0-0_090087_2017-06-16_final
2017-07-01 09:34:02	ga_ls8c_ard_3-0-0_092088_2017-07-01_final
2017-09-05 09:17:12	ga_ls8c_ard_3-0-0_090076_2017-09-04_final
2017-09-08 11:25:24	ga_ls8c_ard_3-0-0_111072_2017-09-08_final
2017-11-20 09:38:27	ga_ls8c_ard_3-0-0_094067_2017-11-20_final
2018-02-03 09:21:33	ga_ls8c_ard_3-0-0_091072_2018-02-02_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-03-14 09:27:26	ga_ls8c_ard_3-0-0_092072_2018-03-13_final
2018-04-23 10:18:32	ga_ls8c_ard_3-0-0_100077_2018-04-23_final
2018-07-29 09:20:57	ga_ls8c_ard_3-0-0_091072_2018-07-28_final
2018-11-11 09:23:01	ga_ls8c_ard_3-0-0_090091_2018-11-10_final
2018-11-16 09:33:35	ga_ls8c_ard_3-0-0_093071_2018-11-16_final
2018-12-18 09:33:55	ga_ls8c_ard_3-0-0_093072_2018-12-18_final
2019-02-02 11:23:28	ga_ls8c_ard_3-0-0_111068_2019-02-02_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-04-27 09:21:04	ga_ls8c_ard_3-0-0_091072_2019-04-26_final
2019-08-08 09:33:33	ga_ls8c_ard_3-1-0_092086_2019-08-08_final
2019-08-17 09:22:13	ga_ls8c_ard_3-1-0_091073_2019-08-16_final
2019-09-11 09:17:21	ga_ls8c_ard_3-1-0_090076_2019-09-10_final
2019-10-25 11:18:18	ga_ls8c_ard_3-1-0_110069_2019-10-25_final
2019-12-03 11:24:48	ga_ls8c_ard_3-1-0_111070_2019-12-03_final
2020-01-13 09:40:00	ga_ls8c_ard_3-1-0_094071_2020-01-13_final
2020-02-07 09:34:30	ga_ls8c_ard_3-1-0_093073_2020-02-07_final
2020-03-04 10:11:04	ga_ls8c_ard_3-1-0_099072_2020-03-04_final
2020-06-15 10:18:57	ga_ls8c_ard_3-1-0_100077_2020-06-15_final
2020-07-23 11:17:49	ga_ls8c_ard_3-1-0_110069_2020-07-23_final
2020-10-14 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-10-14_final
2020-10-21 11:58:55	ga_ls8c_ard_3-1-0_116078_2020-10-21_final
2020-10-24 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-10-23_final
2020-11-28 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-11-28_final
2021-02-23 09:45:38	ga_ls8c_ard_3-2-0_095070_2021-02-23_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-06-10 09:28:28	ga_ls8c_ard_3-2-0_092074_2021-06-09_final
2021-10-10 11:47:49	ga_ls8c_ard_3-2-0_114081_2021-10-10_final
2021-10-27 09:10:57	ga_ls8c_ard_3-2-0_089075_2021-10-26_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-12-18 10:23:01	ga_ls8c_ard_3-2-1_101070_2021-12-18_final
2022-03-09 09:27:51	ga_ls8c_ard_3-2-1_092072_2022-03-08_final
2022-08-24 10:19:50	ga_ls8c_ard_3-2-1_100077_2022-08-24_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-12-15 09:27:45	ga_ls8c_ard_3-2-1_091086_2022-12-14_final
2022-12-30 10:19:43	ga_ls8c_ard_3-2-1_100077_2022-12-30_final
2023-01-25 09:17:28	ga_ls8c_ard_3-2-1_090076_2023-01-24_final
2023-05-10 09:09:27	ga_ls8c_ard_3-2-1_089074_2023-05-09_final
2023-09-16 11:31:32	ga_ls8c_ard_3-2-1_112072_2023-09-16_final
2023-09-22 09:16:46	ga_ls8c_ard_3-2-1_090075_2023-09-21_final
2023-09-27 09:33:45	ga_ls8c_ard_3-2-1_093071_2023-09-27_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-12 09:56:55	ga_ls8c_ard_3-2-1_097067_2023-12-12_final
2024-01-19 09:22:35	ga_ls8c_ard_3-2-1_091074_2024-01-18_final
2024-02-22 09:10:11	ga_ls8c_ard_3-2-1_089074_2024-02-21_final
2024-03-07 09:21:33	ga_ls8c_ard_3-2-1_091072_2024-03-06_final
2024-03-07 09:21:57	ga_ls8c_ard_3-2-1_091073_2024-03-06_final
2024-03-08 10:03:37	ga_ls8c_ard_3-2-1_098069_2024-03-08_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