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

88 results

Time (local)	Label
2013-05-11 10:18:49	ga_ls8c_ard_3-0-0_100071_2013-05-11_final
2013-05-17 09:41:49	ga_ls8c_ard_3-0-0_094071_2013-05-17_final
2014-04-16 11:31:25	ga_ls8c_ard_3-0-0_112072_2014-04-16_final
2014-10-13 09:28:53	ga_ls8c_ard_3-0-0_092074_2014-10-12_final
2014-11-01 09:57:45	ga_ls8c_ard_3-0-0_097069_2014-11-01_final
2014-12-16 09:27:58	ga_ls8c_ard_3-0-0_092072_2014-12-15_final
2014-12-26 10:09:50	ga_ls8c_ard_3-0-0_098084_2014-12-26_final
2015-01-10 09:22:08	ga_ls8c_ard_3-0-0_091073_2015-01-09_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-01-24 09:34:23	ga_ls8c_ard_3-0-0_093073_2015-01-24_final
2015-01-27 10:04:30	ga_ls8c_ard_3-0-0_098071_2015-01-27_final
2015-03-24 09:17:02	ga_ls8c_ard_3-0-0_090077_2015-03-23_final
2015-03-30 10:18:45	ga_ls8c_ard_3-0-0_100077_2015-03-30_final
2015-04-20 10:33:37	ga_ls8c_ard_3-0-0_103068_2015-04-20_final
2015-07-12 11:07:28	ga_ls8c_ard_3-0-0_108075_2015-07-12_final
2015-11-01 09:28:46	ga_ls8c_ard_3-0-0_092074_2015-10-31_final
2016-02-20 10:25:22	ga_ls8c_ard_3-0-0_101077_2016-02-20_final
2016-05-16 11:23:39	ga_ls8c_ard_3-0-0_111069_2016-05-16_final
2016-05-23 09:50:12	ga_ls8c_ard_3-0-0_096067_2016-05-23_final
2016-09-11 10:49:14	ga_ls8c_ard_3-0-0_105074_2016-09-11_final
2016-11-26 09:34:47	ga_ls8c_ard_3-0-0_093073_2016-11-26_final
2017-02-21 11:17:01	ga_ls8c_ard_3-0-0_110067_2017-02-21_final
2017-04-01 09:43:59	ga_ls8c_ard_3-0-0_095067_2017-04-01_final
2017-04-07 10:46:08	ga_ls8c_ard_3-0-0_105068_2017-04-07_final
2017-04-08 09:50:07	ga_ls8c_ard_3-0-0_096067_2017-04-08_final
2017-10-05 09:28:55	ga_ls8c_ard_3-0-0_092074_2017-10-04_final
2018-01-11 09:17:11	ga_ls8c_ard_3-0-0_090076_2018-01-10_final
2018-05-03 10:54:44	ga_ls8c_ard_3-0-0_106075_2018-05-03_final
2018-05-08 09:33:32	ga_ls8c_ard_3-0-0_093073_2018-05-08_final
2018-05-25 11:57:04	ga_ls8c_ard_3-0-0_116077_2018-05-25_final
2018-07-25 11:23:19	ga_ls8c_ard_3-0-0_111069_2018-07-25_final
2018-09-02 11:29:26	ga_ls8c_ard_3-0-0_112068_2018-09-02_final
2018-12-07 09:51:41	ga_ls8c_ard_3-0-0_096070_2018-12-07_final
2019-01-21 09:23:05	ga_ls8c_ard_3-0-0_091076_2019-01-20_final
2019-03-28 09:09:41	ga_ls8c_ard_3-1-0_089074_2019-03-27_final
2019-04-16 09:39:41	ga_ls8c_ard_3-1-0_094072_2019-04-16_final
2019-04-28 10:06:44	ga_ls8c_ard_3-0-0_098078_2019-04-28_final
2019-05-13 09:28:01	ga_ls8c_ard_3-0-0_091089_2019-05-12_final
2019-06-23 09:16:58	ga_ls8c_ard_3-1-0_090076_2019-06-22_final
2019-06-25 09:07:01	ga_ls8c_ard_3-1-0_088082_2019-06-24_final
2019-07-30 11:13:46	ga_ls8c_ard_3-1-0_109074_2019-07-30_final
2019-11-05 09:22:04	ga_ls8c_ard_3-1-0_091072_2019-11-04_final
2019-12-05 09:34:45	ga_ls8c_ard_3-1-0_093073_2019-12-05_final
2019-12-16 10:53:29	ga_ls8c_ard_3-2-0_106069_2019-12-16_final
2020-01-17 09:17:16	ga_ls8c_ard_3-1-0_090076_2020-01-16_final
2020-02-05 11:25:45	ga_ls8c_ard_3-1-0_111073_2020-02-05_final
2020-02-27 10:48:59	ga_ls8c_ard_3-1-0_105074_2020-02-27_final
2020-02-29 10:35:49	ga_ls8c_ard_3-1-0_103072_2020-02-29_final
2020-03-15 11:31:20	ga_ls8c_ard_3-1-0_112072_2020-03-15_final
2020-07-06 10:39:15	ga_ls8c_ard_3-1-0_103081_2020-07-06_final
2020-08-14 09:06:44	ga_ls8c_ard_3-1-0_088081_2020-08-13_final
2020-11-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2020-11-01_final
2021-03-03 10:34:13	ga_ls8c_ard_3-2-0_103068_2021-03-03_final
2021-06-25 10:25:21	ga_ls8c_ard_3-2-0_101077_2021-06-25_final
2021-07-24 11:31:27	ga_ls8c_ard_3-2-0_112072_2021-07-24_final
2021-07-31 09:56:49	ga_ls8c_ard_3-2-0_097067_2021-07-31_final
2021-08-24 09:11:54	ga_ls8c_ard_3-2-0_089078_2021-08-23_final
2021-08-27 11:18:06	ga_ls8c_ard_3-2-0_110069_2021-08-27_final
2021-08-31 10:53:01	ga_ls8c_ard_3-2-0_106068_2021-08-31_final
2021-09-25 10:49:19	ga_ls8c_ard_3-2-0_105074_2021-09-25_final
2021-10-10 10:07:21	ga_ls8c_ard_3-2-0_098077_2021-10-10_final
2021-12-19 09:28:59	ga_ls8c_ard_3-2-1_092074_2021-12-18_final
2022-03-02 11:04:10	ga_ls8c_ard_3-2-1_107081_2022-03-02_final
2022-03-09 09:28:39	ga_ls8c_ard_3-2-1_092074_2022-03-08_final
2022-03-14 11:23:38	ga_ls8c_ard_3-2-1_111068_2022-03-14_final
2022-03-30 11:23:26	ga_ls8c_ard_3-2-1_111068_2022-03-30_final
2022-04-04 10:03:54	ga_ls8c_ard_3-2-1_098070_2022-04-04_final
2022-05-13 11:52:19	ga_ls8c_ard_3-2-1_115078_2022-05-13_final
2022-06-02 11:23:42	ga_ls8c_ard_3-2-1_111068_2022-06-02_final
2022-06-15 09:17:16	ga_ls8c_ard_3-2-1_090076_2022-06-14_final
2022-06-22 09:28:41	ga_ls8c_ard_3-2-1_091089_2022-06-21_final
2022-09-11 10:03:33	ga_ls8c_ard_3-2-1_098067_2022-09-11_final
2022-09-17 09:29:18	ga_ls8c_ard_3-2-1_092074_2022-09-16_final
2022-09-22 11:25:08	ga_ls8c_ard_3-2-1_111070_2022-09-22_final
2022-11-21 10:13:39	ga_ls8c_ard_3-2-1_099077_2022-11-21_final
2023-02-10 09:17:02	ga_ls8c_ard_3-2-1_090075_2023-02-09_final
2023-04-04 09:33:46	ga_ls8c_ard_3-2-1_093072_2023-04-04_final
2023-05-20 11:22:58	ga_ls8c_ard_3-2-1_111068_2023-05-20_final
2023-07-18 09:28:22	ga_ls8c_ard_3-2-1_092074_2023-07-17_final
2023-07-27 09:28:16	ga_ls8c_ard_3-2-1_091089_2023-07-26_final
2023-12-07 11:18:24	ga_ls8c_ard_3-2-1_110070_2023-12-07_final
2023-12-18 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-12-17_final
2024-02-11 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-02-11_final
2024-02-14 09:57:39	ga_ls8c_ard_3-2-1_097069_2024-02-14_final
2024-02-16 11:23:45	ga_ls8c_ard_3-2-1_111068_2024-02-16_final
2024-03-03 11:23:38	ga_ls8c_ard_3-2-1_111068_2024-03-03_final
2024-03-08 10:02:49	ga_ls8c_ard_3-2-1_098067_2024-03-08_final
2024-04-01 09:21:06	ga_ls8c_ard_3-2-1_090087_2024-03-31_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