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

89 results

Time (local)	Label
2013-07-05 10:29:27	ga_ls8c_ard_3-0-0_101082_2013-07-05_final
2013-09-06 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-09-06_final
2013-10-25 10:29:14	ga_ls8c_ard_3-0-0_101082_2013-10-25_final
2014-01-24 10:10:52	ga_ls8c_ard_3-0-0_098084_2014-01-24_final
2014-01-31 10:11:48	ga_ls8c_ard_3-0-0_099071_2014-01-31_final
2014-06-17 10:07:03	ga_ls8c_ard_3-0-0_098078_2014-06-17_final
2014-07-06 10:39:39	ga_ls8c_ard_3-0-0_103082_2014-07-06_final
2014-10-03 10:33:26	ga_ls8c_ard_3-0-0_102081_2014-10-03_final
2015-01-05 10:40:28	ga_ls8c_ard_3-0-0_104068_2015-01-05_final
2015-01-11 10:08:11	ga_ls8c_ard_3-0-0_098080_2015-01-11_final
2015-01-26 11:03:19	ga_ls8c_ard_3-0-0_107079_2015-01-26_final
2015-04-10 09:56:56	ga_ls8c_ard_3-0-0_097069_2015-04-10_final
2015-04-10 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-04-10_final
2015-05-21 11:31:43	ga_ls8c_ard_3-0-0_112075_2015-05-21_final
2015-08-09 11:29:31	ga_ls8c_ard_3-0-0_112068_2015-08-09_final
2016-03-02 10:09:37	ga_ls8c_ard_3-0-0_098084_2016-03-02_final
2016-05-11 09:27:24	ga_ls8c_ard_3-0-0_092072_2016-05-10_final
2016-06-23 10:49:10	ga_ls8c_ard_3-0-0_105075_2016-06-23_final
2016-07-16 09:21:27	ga_ls8c_ard_3-0-0_090087_2016-07-15_final
2017-01-22 09:27:59	ga_ls8c_ard_3-0-0_092072_2017-01-21_final
2017-02-05 09:40:38	ga_ls8c_ard_3-0-0_094073_2017-02-05_final
2017-02-28 09:45:28	ga_ls8c_ard_3-0-0_095070_2017-02-28_final
2017-04-16 10:39:53	ga_ls8c_ard_3-0-0_104068_2017-04-16_final
2017-09-05 09:23:12	ga_ls8c_ard_3-0-0_090091_2017-09-04_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2018-01-09 09:27:58	ga_ls8c_ard_3-0-0_092072_2018-01-08_final
2018-01-20 10:47:01	ga_ls8c_ard_3-0-0_105069_2018-01-20_final
2018-02-18 11:58:22	ga_ls8c_ard_3-0-0_116078_2018-02-18_final
2018-02-24 09:37:58	ga_ls8c_ard_3-0-0_094067_2018-02-24_final
2018-06-09 11:12:32	ga_ls8c_ard_3-0-0_109074_2018-06-09_final
2018-06-10 11:56:13	ga_ls8c_ard_3-0-0_116075_2018-06-10_final
2018-07-06 09:16:12	ga_ls8c_ard_3-0-0_090076_2018-07-05_final
2018-08-23 10:55:05	ga_ls8c_ard_3-0-0_106075_2018-08-23_final
2018-10-20 09:51:15	ga_ls8c_ard_3-0-0_096069_2018-10-20_final
2018-10-20 09:56:02	ga_ls8c_ard_3-0-0_096081_2018-10-20_final
2019-03-31 09:44:57	ga_ls8c_ard_3-1-0_094085_2019-03-31_final
2019-04-19 10:13:21	ga_ls8c_ard_3-1-0_099079_2019-04-19_final
2019-05-31 10:49:31	ga_ls8c_ard_3-0-0_105076_2019-05-31_final
2019-06-19 09:38:05	ga_ls8c_ard_3-1-0_094067_2019-06-19_final
2019-08-10 09:17:12	ga_ls8c_ard_3-1-0_090076_2019-08-09_final
2019-08-11 10:03:40	ga_ls8c_ard_3-1-0_097084_2019-08-11_final
2019-08-28 09:06:31	ga_ls8c_ard_3-1-0_088080_2019-08-27_final
2019-10-25 11:18:18	ga_ls8c_ard_3-1-0_110069_2019-10-25_final
2019-11-12 09:29:01	ga_ls8c_ard_3-1-0_092074_2019-11-11_final
2019-12-03 11:24:25	ga_ls8c_ard_3-1-0_111069_2019-12-03_final
2020-01-13 11:18:53	ga_ls8c_ard_3-1-0_110071_2020-01-13_final
2020-02-27 09:16:29	ga_ls8c_ard_3-1-0_089090_2020-02-26_final
2020-03-05 09:18:38	ga_ls8c_ard_3-1-0_090080_2020-03-04_final
2020-03-15 11:32:07	ga_ls8c_ard_3-1-0_112074_2020-03-15_final
2020-04-20 09:27:26	ga_ls8c_ard_3-1-0_092072_2020-04-19_final
2020-05-11 11:25:53	ga_ls8c_ard_3-1-0_111075_2020-05-11_final
2020-06-09 10:55:10	ga_ls8c_ard_3-1-0_106075_2020-06-09_final
2020-06-21 11:20:00	ga_ls8c_ard_3-1-0_110075_2020-06-21_final
2020-07-04 09:16:18	ga_ls8c_ard_3-1-0_089090_2020-07-03_final
2020-08-24 09:40:19	ga_ls8c_ard_3-1-0_094072_2020-08-24_final
2020-08-28 09:17:13	ga_ls8c_ard_3-1-0_090076_2020-08-27_final
2020-09-28 10:10:38	ga_ls8c_ard_3-1-0_099070_2020-09-28_final
2020-09-29 09:17:24	ga_ls8c_ard_3-1-0_090076_2020-09-28_final
2020-10-29 09:28:59	ga_ls8c_ard_3-1-0_092074_2020-10-28_final
2021-01-20 09:58:54	ga_ls8c_ard_3-2-0_097072_2021-01-20_final
2021-02-06 10:45:20	ga_ls8c_ard_3-2-0_104080_2021-02-06_final
2021-02-20 10:53:14	ga_ls8c_ard_3-2-0_106069_2021-02-20_final
2021-04-03 11:32:02	ga_ls8c_ard_3-2-0_112074_2021-04-03_final
2021-05-03 10:09:15	ga_ls8c_ard_3-2-0_098084_2021-05-03_final
2021-05-28 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-05-28_final
2021-07-30 09:17:32	ga_ls8c_ard_3-2-0_090077_2021-07-29_final
2021-09-12 11:18:11	ga_ls8c_ard_3-2-0_110069_2021-09-12_final
2021-10-07 09:40:49	ga_ls8c_ard_3-2-0_093088_2021-10-07_final
2021-11-10 09:20:28	ga_ls8c_ard_3-2-0_091068_2021-11-09_final
2021-11-26 09:20:26	ga_ls8c_ard_3-2-0_091068_2021-11-25_final
2021-12-04 10:09:53	ga_ls8c_ard_3-2-0_099068_2021-12-04_final
2022-05-05 11:04:48	ga_ls8c_ard_3-2-1_107083_2022-05-05_final
2022-07-14 10:25:42	ga_ls8c_ard_3-2-1_101077_2022-07-14_final
2022-10-28 12:38:05	ga_ls8c_ard_3-2-1_123067_2022-10-28_final
2023-03-03 09:33:41	ga_ls8c_ard_3-2-1_093071_2023-03-03_final
2023-04-14 10:13:04	ga_ls8c_ard_3-2-1_099078_2023-04-14_final
2023-04-25 11:31:23	ga_ls8c_ard_3-2-1_112073_2023-04-25_final
2023-07-07 11:23:46	ga_ls8c_ard_3-2-1_111069_2023-07-07_final
2023-07-18 11:05:39	ga_ls8c_ard_3-2-1_108070_2023-07-18_final
2023-07-23 09:50:32	ga_ls8c_ard_3-2-1_095083_2023-07-23_final
2023-07-25 11:13:53	ga_ls8c_ard_3-2-1_109075_2023-07-25_final
2023-09-22 10:55:15	ga_ls8c_ard_3-2-1_106074_2023-09-22_final
2023-10-22 09:28:49	ga_ls8c_ard_3-2-1_092074_2023-10-21_final
2024-02-11 09:27:58	ga_ls8c_ard_3-2-1_092072_2024-02-10_final
2024-03-25 09:15:46	ga_ls8c_ard_3-2-1_089089_2024-03-24_final
2024-03-30 09:28:16	ga_ls8c_ard_3-2-1_092074_2024-03-29_final
2024-04-03 09:06:45	ga_ls8c_ard_3-2-1_088082_2024-04-02_final
2024-04-06 09:33:15	ga_ls8c_ard_3-2-1_093071_2024-04-06_final
2024-04-20 11:25:33	ga_ls8c_ard_3-2-1_111074_2024-04-20_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