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

98 results

Time (local)	Label
2013-04-01 10:12:02	ga_ls8c_ard_3-0-0_099078_2013-04-01_final
2013-07-07 10:15:54	ga_ls8c_ard_3-0-0_099079_2013-07-07_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2013-12-08 10:48:13	ga_ls8c_ard_3-0-0_105068_2013-12-08_final
2014-03-26 11:12:01	ga_ls8c_ard_3-0-0_109069_2014-03-26_final
2014-05-13 11:17:17	ga_ls8c_ard_3-0-0_109084_2014-05-13_final
2014-06-25 10:52:06	ga_ls8c_ard_3-0-0_106067_2014-06-25_final
2014-09-27 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-09-26_final
2014-10-14 10:13:45	ga_ls8c_ard_3-0-0_099078_2014-10-14_final
2014-11-10 11:30:06	ga_ls8c_ard_3-0-0_112068_2014-11-10_final
2014-12-08 10:19:26	ga_ls8c_ard_3-0-0_100077_2014-12-08_final
2015-01-17 11:05:34	ga_ls8c_ard_3-0-0_108069_2015-01-17_final
2015-04-24 10:12:51	ga_ls8c_ard_3-0-0_099078_2015-04-24_final
2015-05-18 09:20:43	ga_ls8c_ard_3-0-0_091072_2015-05-17_final
2015-06-06 09:50:35	ga_ls8c_ard_3-0-0_096069_2015-06-06_final
2015-06-24 11:17:38	ga_ls8c_ard_3-0-0_110070_2015-06-24_final
2015-06-26 09:27:59	ga_ls8c_ard_3-0-0_092074_2015-06-25_final
2015-07-26 09:37:50	ga_ls8c_ard_3-0-0_094067_2015-07-26_final
2015-10-28 09:50:41	ga_ls8c_ard_3-0-0_096067_2015-10-28_final
2015-11-08 09:34:33	ga_ls8c_ard_3-0-0_093073_2015-11-08_final
2015-12-01 09:43:34	ga_ls8c_ard_3-0-0_094080_2015-12-01_final
2016-01-09 11:23:21	ga_ls8c_ard_3-0-0_111067_2016-01-09_final
2016-01-29 09:21:45	ga_ls8c_ard_3-0-0_091072_2016-01-28_final
2016-05-14 09:56:42	ga_ls8c_ard_3-0-0_097068_2016-05-14_final
2016-05-21 10:07:44	ga_ls8c_ard_3-0-0_098080_2016-05-21_final
2016-06-17 11:23:48	ga_ls8c_ard_3-0-0_111069_2016-06-17_final
2016-06-28 11:07:46	ga_ls8c_ard_3-0-0_108075_2016-06-28_final
2016-10-30 09:50:56	ga_ls8c_ard_3-0-0_096067_2016-10-30_final
2017-03-06 10:49:13	ga_ls8c_ard_3-0-0_105075_2017-03-06_final
2017-03-19 10:16:59	ga_ls8c_ard_3-0-0_100072_2017-03-19_final
2017-10-01 09:50:49	ga_ls8c_ard_3-0-0_096067_2017-10-01_final
2017-10-23 09:17:48	ga_ls8c_ard_3-0-0_090077_2017-10-22_final
2018-01-10 10:13:37	ga_ls8c_ard_3-0-0_099078_2018-01-10_final
2018-02-01 09:40:19	ga_ls8c_ard_3-0-0_093088_2018-02-01_final
2018-02-08 09:39:40	ga_ls8c_ard_3-0-0_094071_2018-02-08_final
2018-03-31 10:10:11	ga_ls8c_ard_3-0-0_099071_2018-03-31_final
2018-04-22 09:31:18	ga_ls8c_ard_3-0-0_093067_2018-04-22_final
2018-04-27 09:49:48	ga_ls8c_ard_3-0-0_096067_2018-04-27_final
2018-05-13 09:49:38	ga_ls8c_ard_3-0-0_096067_2018-05-13_final
2018-05-16 10:26:29	ga_ls8c_ard_3-0-0_101082_2018-05-16_final
2018-05-24 09:39:20	ga_ls8c_ard_3-0-0_093088_2018-05-24_final
2018-05-28 09:08:58	ga_ls8c_ard_3-0-0_089074_2018-05-27_final
2018-07-20 09:27:52	ga_ls8c_ard_3-0-0_092074_2018-07-19_final
2018-09-06 09:27:27	ga_ls8c_ard_3-0-0_092072_2018-09-05_final
2018-12-11 11:07:49	ga_ls8c_ard_3-0-0_108075_2018-12-11_final
2018-12-15 09:07:00	ga_ls8c_ard_3-0-0_088082_2018-12-14_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-01-19 09:35:04	ga_ls8c_ard_3-0-0_093075_2019-01-19_final
2019-02-04 11:11:30	ga_ls8c_ard_3-0-0_109069_2019-02-04_final
2019-02-16 09:57:42	ga_ls8c_ard_3-0-0_097070_2019-02-16_final
2019-04-16 09:37:41	ga_ls8c_ard_3-1-0_094067_2019-04-16_final
2019-04-18 09:27:18	ga_ls8c_ard_3-1-0_092072_2019-04-17_final
2019-05-30 10:07:03	ga_ls8c_ard_3-0-0_098078_2019-05-30_final
2019-06-21 09:34:06	ga_ls8c_ard_3-1-0_092088_2019-06-21_final
2019-08-20 09:50:45	ga_ls8c_ard_3-1-0_096067_2019-08-20_final
2019-08-31 09:34:38	ga_ls8c_ard_3-1-0_093073_2019-08-31_final
2019-10-15 09:07:31	ga_ls8c_ard_3-1-0_088082_2019-10-14_final
2019-10-16 11:24:29	ga_ls8c_ard_3-1-0_111069_2019-10-16_final
2019-10-23 09:50:59	ga_ls8c_ard_3-1-0_096067_2019-10-23_final
2019-10-28 10:11:31	ga_ls8c_ard_3-1-0_099072_2019-10-28_final
2019-12-10 09:50:54	ga_ls8c_ard_3-1-0_096067_2019-12-10_final
2019-12-14 11:08:14	ga_ls8c_ard_3-2-0_108075_2019-12-14_final
2020-04-04 09:27:32	ga_ls8c_ard_3-1-0_092072_2020-04-03_final
2020-04-09 11:24:56	ga_ls8c_ard_3-1-0_111072_2020-04-09_final
2020-04-09 11:25:20	ga_ls8c_ard_3-1-0_111073_2020-04-09_final
2020-04-20 09:27:26	ga_ls8c_ard_3-1-0_092072_2020-04-19_final
2020-04-22 09:16:39	ga_ls8c_ard_3-1-0_090076_2020-04-21_final
2020-06-19 09:50:16	ga_ls8c_ard_3-1-0_096067_2020-06-19_final
2020-07-25 11:07:28	ga_ls8c_ard_3-1-0_108074_2020-07-25_final
2020-09-24 10:36:08	ga_ls8c_ard_3-1-0_103072_2020-09-24_final
2020-11-28 11:17:27	ga_ls8c_ard_3-1-0_110067_2020-11-28_final
2020-12-27 10:46:55	ga_ls8c_ard_3-2-0_105068_2020-12-27_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-03-13 09:34:19	ga_ls8c_ard_3-2-0_093073_2021-03-13_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2022-01-13 09:21:55	ga_ls8c_ard_3-2-1_091072_2022-01-12_final
2022-01-15 10:47:14	ga_ls8c_ard_3-2-1_105069_2022-01-15_final
2022-02-06 10:10:51	ga_ls8c_ard_3-2-1_099071_2022-02-06_final
2022-02-22 10:09:09	ga_ls8c_ard_3-2-1_099067_2022-02-22_final
2022-03-23 11:23:44	ga_ls8c_ard_3-2-1_110084_2022-03-23_final
2022-04-10 11:10:33	ga_ls8c_ard_3-2-1_108082_2022-04-10_final
2022-06-11 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-06-11_final
2022-07-01 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-06-30_final
2022-09-14 10:34:52	ga_ls8c_ard_3-2-1_103068_2022-09-14_final
2022-10-14 10:49:30	ga_ls8c_ard_3-2-1_105074_2022-10-14_final
2022-10-28 09:22:19	ga_ls8c_ard_3-2-1_091072_2022-10-27_final
2023-01-24 10:13:52	ga_ls8c_ard_3-2-1_099078_2023-01-24_final
2023-02-09 10:14:16	ga_ls8c_ard_3-2-1_099079_2023-02-09_final
2023-02-26 09:17:09	ga_ls8c_ard_3-2-1_090076_2023-02-25_final
2023-03-29 10:10:32	ga_ls8c_ard_3-2-1_099071_2023-03-29_final
2023-04-11 11:19:28	ga_ls8c_ard_3-2-1_110074_2023-04-11_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-07-09 11:13:25	ga_ls8c_ard_3-2-1_109074_2023-07-09_final
2023-08-22 09:57:09	ga_ls8c_ard_3-2-1_097068_2023-08-22_final
2023-08-30 10:49:48	ga_ls8c_ard_3-2-1_105076_2023-08-30_final
2024-02-18 11:12:36	ga_ls8c_ard_3-2-1_109071_2024-02-18_final
2024-03-22 10:17:02	ga_ls8c_ard_3-2-1_100072_2024-03-22_final
2024-03-30 09:33:27	ga_ls8c_ard_3-2-1_092087_2024-03-30_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