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
2013-04-15 11:25:19	ga_ls8c_ard_3-0-0_110083_2013-04-15_final
2013-12-11 11:21:30	ga_ls8c_ard_3-0-0_110074_2013-12-11_final
2014-03-20 10:10:22	ga_ls8c_ard_3-0-0_099069_2014-03-20_final
2014-03-20 11:52:26	ga_ls8c_ard_3-0-0_115077_2014-03-20_final
2014-04-20 11:10:15	ga_ls8c_ard_3-0-0_108081_2014-04-20_final
2014-08-17 11:14:35	ga_ls8c_ard_3-0-0_109076_2014-08-17_final
2014-12-01 10:10:07	ga_ls8c_ard_3-0-0_099069_2014-12-01_final
2015-02-15 10:39:14	ga_ls8c_ard_3-0-0_103081_2015-02-15_final
2015-02-17 10:25:17	ga_ls8c_ard_3-0-0_101077_2015-02-17_final
2015-03-18 09:57:21	ga_ls8c_ard_3-0-0_096085_2015-03-18_final
2015-04-25 10:52:31	ga_ls8c_ard_3-0-0_106069_2015-04-25_final
2015-06-25 10:26:24	ga_ls8c_ard_3-0-0_101081_2015-06-25_final
2015-07-07 09:11:11	ga_ls8c_ard_3-0-0_089078_2015-07-06_final
2015-08-24 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-08-23_final
2016-02-16 09:14:02	ga_ls8c_ard_3-0-0_089084_2016-02-15_final
2016-04-23 09:39:45	ga_ls8c_ard_3-0-0_094072_2016-04-23_final
2016-06-06 10:06:37	ga_ls8c_ard_3-0-0_098077_2016-06-06_final
2016-06-29 10:15:44	ga_ls8c_ard_3-0-0_099084_2016-06-29_final
2016-07-26 11:32:16	ga_ls8c_ard_3-0-0_112074_2016-07-26_final
2016-08-20 11:25:47	ga_ls8c_ard_3-0-0_111073_2016-08-20_final
2016-09-25 09:22:19	ga_ls8c_ard_3-0-0_091073_2016-09-24_final
2016-11-20 10:16:15	ga_ls8c_ard_3-0-0_099084_2016-11-20_final
2016-12-10 09:48:18	ga_ls8c_ard_3-0-0_095076_2016-12-10_final
2016-12-10 11:25:59	ga_ls8c_ard_3-0-0_111073_2016-12-10_final
2017-01-03 10:35:39	ga_ls8c_ard_3-0-0_103071_2017-01-03_final
2017-01-06 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-01-06_final
2017-01-15 11:00:20	ga_ls8c_ard_3-0-0_107071_2017-01-15_final
2017-03-29 10:52:23	ga_ls8c_ard_3-0-0_106068_2017-03-29_final
2017-07-22 11:23:59	ga_ls8c_ard_3-0-0_111069_2017-07-22_final
2017-09-04 10:10:26	ga_ls8c_ard_3-0-0_099070_2017-09-04_final
2017-11-15 09:22:44	ga_ls8c_ard_3-0-0_091074_2017-11-14_final
2017-11-27 09:46:58	ga_ls8c_ard_3-0-0_095073_2017-11-27_final
2018-02-20 10:02:43	ga_ls8c_ard_3-0-0_098067_2018-02-20_final
2018-03-22 10:16:26	ga_ls8c_ard_3-0-0_100071_2018-03-22_final
2018-04-21 10:32:55	ga_ls8c_ard_3-0-0_102082_2018-04-21_final
2018-05-23 10:28:11	ga_ls8c_ard_3-0-0_102071_2018-05-23_final
2018-06-18 11:04:52	ga_ls8c_ard_3-0-0_108070_2018-06-18_final
2018-06-19 10:08:28	ga_ls8c_ard_3-0-0_099068_2018-06-19_final
2018-07-05 10:13:00	ga_ls8c_ard_3-0-0_099079_2018-07-05_final
2018-09-22 11:11:11	ga_ls8c_ard_3-0-0_108084_2018-09-22_final
2018-09-30 11:58:19	ga_ls8c_ard_3-0-0_116078_2018-09-30_final
2018-12-16 09:45:52	ga_ls8c_ard_3-0-0_095071_2018-12-16_final
2019-01-19 09:35:28	ga_ls8c_ard_3-0-0_093076_2019-01-19_final
2019-01-20 10:21:07	ga_ls8c_ard_3-0-0_100082_2019-01-20_final
2019-02-18 11:25:25	ga_ls8c_ard_3-0-0_111073_2019-02-18_final
2019-03-10 09:27:42	ga_ls8c_ard_3-1-0_091088_2019-03-09_final
2019-03-13 09:51:47	ga_ls8c_ard_3-1-0_096071_2019-03-13_final
2019-04-20 10:55:24	ga_ls8c_ard_3-0-0_106076_2019-04-20_final
2019-05-15 10:48:58	ga_ls8c_ard_3-0-0_105075_2019-05-15_final
2019-06-08 09:57:45	ga_ls8c_ard_3-0-0_097070_2019-06-08_final
2019-08-13 11:25:25	ga_ls8c_ard_3-1-0_111072_2019-08-13_final
2019-09-04 09:13:31	ga_ls8c_ard_3-1-0_089082_2019-09-03_final
2019-09-27 09:22:37	ga_ls8c_ard_3-1-0_090089_2019-09-26_final
2019-11-03 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-11-03_final
2019-12-09 10:46:55	ga_ls8c_ard_3-1-0_105068_2019-12-09_final
2019-12-11 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-12-11_final
2020-02-21 09:52:00	ga_ls8c_ard_3-1-0_095086_2020-02-21_final
2020-03-24 09:46:11	ga_ls8c_ard_3-1-0_095072_2020-03-24_final
2020-04-09 09:46:03	ga_ls8c_ard_3-1-0_095072_2020-04-09_final
2020-09-24 10:36:08	ga_ls8c_ard_3-1-0_103072_2020-09-24_final
2020-10-15 09:22:37	ga_ls8c_ard_3-1-0_090089_2020-10-14_final
2021-02-07 11:25:48	ga_ls8c_ard_3-2-0_111073_2021-02-07_final
2021-03-15 11:04:48	ga_ls8c_ard_3-2-0_107083_2021-03-15_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-05-11 09:18:14	ga_ls8c_ard_3-2-0_090080_2021-05-10_final
2021-06-04 10:09:06	ga_ls8c_ard_3-2-0_098083_2021-06-04_final
2021-06-29 11:42:20	ga_ls8c_ard_3-2-0_113084_2021-06-29_final
2021-07-30 10:55:37	ga_ls8c_ard_3-2-0_106075_2021-07-30_final
2021-08-12 10:26:00	ga_ls8c_ard_3-2-0_101078_2021-08-12_final
2021-10-18 10:53:37	ga_ls8c_ard_3-2-0_106069_2021-10-18_final
2021-11-20 11:35:59	ga_ls8c_ard_3-2-0_113067_2021-11-20_final
2021-12-30 10:49:39	ga_ls8c_ard_3-2-1_105075_2021-12-30_final
2022-01-23 09:59:20	ga_ls8c_ard_3-2-1_097073_2022-01-23_final
2022-01-31 09:16:39	ga_ls8c_ard_3-2-1_089090_2022-01-30_final
2022-02-16 10:52:40	ga_ls8c_ard_3-2-1_105083_2022-02-16_final
2022-04-12 10:52:37	ga_ls8c_ard_3-2-1_106068_2022-04-12_final
2022-07-07 10:18:21	ga_ls8c_ard_3-2-1_100074_2022-07-07_final
2022-08-09 09:28:57	ga_ls8c_ard_3-2-1_091089_2022-08-08_final
2022-10-28 09:22:43	ga_ls8c_ard_3-2-1_091073_2022-10-27_final
2022-11-27 11:13:29	ga_ls8c_ard_3-2-1_109072_2022-11-27_final
2023-03-13 11:51:11	ga_ls8c_ard_3-2-1_115075_2023-03-13_final
2023-05-25 10:02:15	ga_ls8c_ard_3-2-1_098067_2023-05-25_final
2023-07-14 11:34:46	ga_ls8c_ard_3-2-1_112081_2023-07-14_final
2023-08-29 11:47:25	ga_ls8c_ard_3-2-1_114081_2023-08-29_final
2023-09-18 11:17:59	ga_ls8c_ard_3-2-1_110069_2023-09-18_final
2023-11-21 11:18:09	ga_ls8c_ard_3-2-1_110069_2023-11-21_final
2024-01-04 10:03:50	ga_ls8c_ard_3-2-1_098069_2024-01-04_final
2024-02-06 09:11:25	ga_ls8c_ard_3-2-1_089077_2024-02-05_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