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
2013-04-01 10:09:38	ga_ls8c_ard_3-0-0_099072_2013-04-01_final
2013-04-17 11:07:46	ga_ls8c_ard_3-0-0_108070_2013-04-17_final
2013-05-30 10:51:51	ga_ls8c_ard_3-0-0_105076_2013-05-30_final
2013-09-14 10:35:14	ga_ls8c_ard_3-0-0_102081_2013-09-14_final
2014-08-17 09:38:06	ga_ls8c_ard_3-0-0_093082_2014-08-17_final
2014-09-28 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-09-28_final
2014-10-11 11:24:06	ga_ls8c_ard_3-0-0_110084_2014-10-11_final
2014-10-17 09:07:22	ga_ls8c_ard_3-0-0_088082_2014-10-16_final
2014-12-17 10:14:02	ga_ls8c_ard_3-0-0_099079_2014-12-17_final
2015-01-13 11:32:18	ga_ls8c_ard_3-0-0_112074_2015-01-13_final
2015-01-18 10:13:55	ga_ls8c_ard_3-0-0_099079_2015-01-18_final
2015-01-23 10:33:12	ga_ls8c_ard_3-0-0_102081_2015-01-23_final
2015-04-15 10:18:41	ga_ls8c_ard_3-0-0_100077_2015-04-15_final
2015-06-24 11:18:26	ga_ls8c_ard_3-0-0_110072_2015-06-24_final
2015-10-28 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-10-28_final
2016-02-06 10:13:56	ga_ls8c_ard_3-0-0_099079_2016-02-06_final
2016-06-30 09:16:56	ga_ls8c_ard_3-0-0_090076_2016-06-29_final
2016-07-12 11:19:02	ga_ls8c_ard_3-0-0_110072_2016-07-12_final
2016-10-27 09:28:01	ga_ls8c_ard_3-0-0_091087_2016-10-26_final
2017-01-23 10:10:26	ga_ls8c_ard_3-0-0_099070_2017-01-23_final
2017-02-08 10:09:54	ga_ls8c_ard_3-0-0_099069_2017-02-08_final
2017-02-14 11:17:39	ga_ls8c_ard_3-0-0_109084_2017-02-14_final
2017-03-19 10:16:59	ga_ls8c_ard_3-0-0_100072_2017-03-19_final
2017-05-03 11:23:22	ga_ls8c_ard_3-0-0_111069_2017-05-03_final
2017-05-22 10:19:12	ga_ls8c_ard_3-0-0_100078_2017-05-22_final
2017-06-30 10:22:52	ga_ls8c_ard_3-0-0_101071_2017-06-30_final
2017-12-18 10:02:44	ga_ls8c_ard_3-2-1_098066_2017-12-18_final
2017-12-28 09:07:18	ga_ls8c_ard_3-0-0_088082_2017-12-27_final
2018-04-12 10:38:47	ga_ls8c_ard_3-0-0_103081_2018-04-12_final
2018-06-16 09:39:07	ga_ls8c_ard_3-0-0_094072_2018-06-16_final
2018-07-27 11:13:22	ga_ls8c_ard_3-0-0_109075_2018-07-27_final
2018-07-31 10:45:54	ga_ls8c_ard_3-0-0_105068_2018-07-31_final
2018-10-19 09:10:23	ga_ls8c_ard_3-0-0_089075_2018-10-18_final
2018-10-19 09:11:59	ga_ls8c_ard_3-0-0_089079_2018-10-18_final
2018-12-06 09:11:13	ga_ls8c_ard_3-0-0_089077_2018-12-05_final
2018-12-13 10:53:27	ga_ls8c_ard_3-0-0_106070_2018-12-13_final
2019-01-10 11:18:10	ga_ls8c_ard_3-0-0_110070_2019-01-10_final
2019-01-16 10:45:51	ga_ls8c_ard_3-0-0_104082_2019-01-16_final
2019-01-24 09:50:23	ga_ls8c_ard_3-0-0_096067_2019-01-24_final
2019-01-31 09:56:32	ga_ls8c_ard_3-0-0_097067_2019-01-31_final
2019-03-08 11:14:10	ga_ls8c_ard_3-1-0_109076_2019-03-08_final
2019-03-31 09:40:34	ga_ls8c_ard_3-1-0_094074_2019-03-31_final
2019-08-07 10:25:34	ga_ls8c_ard_3-1-0_101077_2019-08-07_final
2019-12-08 10:10:03	ga_ls8c_ard_3-1-0_098084_2019-12-08_final
2019-12-24 10:08:00	ga_ls8c_ard_3-1-0_098079_2019-12-24_final
2020-01-07 10:19:54	ga_ls8c_ard_3-1-0_100078_2020-01-07_final
2020-01-08 11:00:22	ga_ls8c_ard_3-1-0_107071_2020-01-08_final
2020-01-31 09:27:57	ga_ls8c_ard_3-1-0_092072_2020-01-30_final
2020-02-01 10:14:00	ga_ls8c_ard_3-1-0_099079_2020-02-01_final
2020-02-26 10:09:19	ga_ls8c_ard_3-1-0_098083_2020-02-26_final
2020-03-05 09:17:26	ga_ls8c_ard_3-1-0_090077_2020-03-04_final
2020-05-17 10:48:26	ga_ls8c_ard_3-1-0_105074_2020-05-17_final
2020-07-13 09:06:59	ga_ls8c_ard_3-1-0_088082_2020-07-12_final
2020-09-22 09:10:48	ga_ls8c_ard_3-1-0_089075_2020-09-21_final
2020-11-15 10:13:48	ga_ls8c_ard_3-1-0_099078_2020-11-15_final
2020-11-20 10:28:23	ga_ls8c_ard_3-1-0_102068_2020-11-20_final
2020-12-21 11:24:49	ga_ls8c_ard_3-2-0_111070_2020-12-21_final
2021-01-04 09:58:14	ga_ls8c_ard_3-2-0_097070_2021-01-04_final
2021-01-08 09:34:17	ga_ls8c_ard_3-2-0_093072_2021-01-08_final
2021-01-20 09:58:30	ga_ls8c_ard_3-2-0_097071_2021-01-20_final
2021-04-18 09:11:47	ga_ls8c_ard_3-2-0_089079_2021-04-17_final
2021-04-19 09:57:50	ga_ls8c_ard_3-2-0_096086_2021-04-19_final
2021-04-27 09:06:43	ga_ls8c_ard_3-2-0_088082_2021-04-26_final
2021-05-25 09:33:56	ga_ls8c_ard_3-2-0_092088_2021-05-25_final
2021-11-28 09:13:40	ga_ls8c_ard_3-2-0_089082_2021-11-27_final
2022-02-08 11:42:09	ga_ls8c_ard_3-2-1_113083_2022-02-08_final
2022-02-22 10:09:57	ga_ls8c_ard_3-2-1_099069_2022-02-22_final
2022-03-08 10:27:52	ga_ls8c_ard_3-2-1_101083_2022-03-08_final
2022-04-11 10:12:56	ga_ls8c_ard_3-2-1_099077_2022-04-11_final
2022-04-24 09:40:01	ga_ls8c_ard_3-2-1_094072_2022-04-24_final
2022-05-23 09:11:39	ga_ls8c_ard_3-2-1_089078_2022-05-22_final
2022-06-09 09:57:29	ga_ls8c_ard_3-2-1_096084_2022-06-09_final
2022-07-04 11:26:20	ga_ls8c_ard_3-2-1_111074_2022-07-04_final
2022-08-19 09:58:06	ga_ls8c_ard_3-2-1_097069_2022-08-19_final
2022-10-20 10:13:41	ga_ls8c_ard_3-2-1_099077_2022-10-20_final
2022-12-31 11:00:35	ga_ls8c_ard_3-2-1_107071_2022-12-31_final
2023-01-15 10:17:37	ga_ls8c_ard_3-2-1_100072_2023-01-15_final
2023-02-17 09:23:07	ga_ls8c_ard_3-2-1_091075_2023-02-16_final
2023-02-20 09:53:33	ga_ls8c_ard_3-2-1_096074_2023-02-20_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-05-29 09:39:08	ga_ls8c_ard_3-2-1_094071_2023-05-29_final
2023-09-24 10:40:31	ga_ls8c_ard_3-2-1_104068_2023-09-24_final
2023-10-04 11:19:37	ga_ls8c_ard_3-2-1_110073_2023-10-04_final
2023-11-08 10:10:05	ga_ls8c_ard_3-2-1_099069_2023-11-08_final
2023-11-15 10:19:29	ga_ls8c_ard_3-2-1_100077_2023-11-15_final
2024-02-02 09:34:31	ga_ls8c_ard_3-2-1_093073_2024-02-02_final
2024-02-13 10:53:40	ga_ls8c_ard_3-2-1_106070_2024-02-13_final
2024-02-15 09:07:12	ga_ls8c_ard_3-2-1_088082_2024-02-14_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