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

82 results

Time (local)	Label
2013-05-29 10:11:23	ga_ls8c_ard_3-0-0_098083_2013-05-29_final
2013-11-15 09:08:02	ga_ls8c_ard_3-0-0_088080_2013-11-14_final
2013-11-29 09:22:42	ga_ls8c_ard_3-0-0_090086_2013-11-28_final
2013-12-15 09:18:38	ga_ls8c_ard_3-0-0_090076_2013-12-14_final
2014-02-28 10:40:06	ga_ls8c_ard_3-0-0_103081_2014-02-28_final
2014-03-27 10:19:34	ga_ls8c_ard_3-0-0_100077_2014-03-27_final
2014-06-15 10:21:24	ga_ls8c_ard_3-0-0_100083_2014-06-15_final
2015-01-28 10:49:45	ga_ls8c_ard_3-0-0_105076_2015-01-28_final
2015-02-25 11:11:32	ga_ls8c_ard_3-0-0_109069_2015-02-25_final
2015-07-14 10:57:07	ga_ls8c_ard_3-0-0_106080_2015-07-14_final
2015-08-19 10:33:24	ga_ls8c_ard_3-0-0_102082_2015-08-19_final
2015-09-08 10:10:00	ga_ls8c_ard_3-0-0_098085_2015-09-08_final
2015-12-08 09:44:32	ga_ls8c_ard_3-0-0_095067_2015-12-08_final
2016-01-02 11:18:25	ga_ls8c_ard_3-0-0_110070_2016-01-02_final
2016-03-25 11:52:56	ga_ls8c_ard_3-0-0_115080_2016-03-25_final
2016-04-25 09:27:22	ga_ls8c_ard_3-0-0_092072_2016-04-24_final
2016-05-05 10:03:46	ga_ls8c_ard_3-0-0_098070_2016-05-05_final
2016-07-03 11:23:57	ga_ls8c_ard_3-0-0_111069_2016-07-03_final
2016-12-22 10:09:46	ga_ls8c_ard_3-0-0_099068_2016-12-22_final
2017-10-08 10:00:38	ga_ls8c_ard_3-0-0_097076_2017-10-08_final
2017-10-21 09:26:10	ga_ls8c_ard_3-0-0_092067_2017-10-20_final
2017-11-16 10:09:59	ga_ls8c_ard_3-0-0_098084_2017-11-16_final
2017-12-05 10:39:59	ga_ls8c_ard_3-0-0_103082_2017-12-05_final
2017-12-06 11:20:03	ga_ls8c_ard_3-0-0_110074_2017-12-06_final
2017-12-08 11:08:05	ga_ls8c_ard_3-0-0_108075_2017-12-08_final
2018-03-28 11:16:36	ga_ls8c_ard_3-0-0_110067_2018-03-28_final
2018-03-31 10:15:46	ga_ls8c_ard_3-0-0_099085_2018-03-31_final
2018-05-03 10:54:44	ga_ls8c_ard_3-0-0_106075_2018-05-03_final
2018-07-22 10:51:36	ga_ls8c_ard_3-0-0_106067_2018-07-22_final
2018-08-28 11:13:15	ga_ls8c_ard_3-1-0_109074_2018-08-28_final
2018-08-28 11:13:39	ga_ls8c_ard_3-1-0_109075_2018-08-28_final
2018-11-10 10:13:27	ga_ls8c_ard_3-0-0_099078_2018-11-10_final
2018-11-11 09:17:02	ga_ls8c_ard_3-0-0_090076_2018-11-10_final
2019-02-04 11:17:29	ga_ls8c_ard_3-0-0_109084_2019-02-04_final
2019-04-13 10:49:17	ga_ls8c_ard_3-1-0_105076_2019-04-13_final
2019-05-20 11:07:34	ga_ls8c_ard_3-0-0_108075_2019-05-20_final
2019-06-01 09:56:42	ga_ls8c_ard_3-0-0_096083_2019-06-01_final
2019-08-03 10:49:04	ga_ls8c_ard_3-1-0_105074_2019-08-03_final
2019-09-20 10:49:42	ga_ls8c_ard_3-1-0_105075_2019-09-20_final
2019-10-12 10:13:54	ga_ls8c_ard_3-1-0_099078_2019-10-12_final
2019-11-25 10:36:10	ga_ls8c_ard_3-1-0_103072_2019-11-25_final
2019-12-09 10:49:43	ga_ls8c_ard_3-1-0_105075_2019-12-09_final
2020-01-25 11:41:58	ga_ls8c_ard_3-1-0_114067_2020-01-25_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-04-08 09:05:59	ga_ls8c_ard_3-1-0_088080_2020-04-07_final
2020-04-11 11:13:21	ga_ls8c_ard_3-1-0_109074_2020-04-11_final
2020-08-10 11:07:31	ga_ls8c_ard_3-1-0_108074_2020-08-10_final
2020-09-18 11:17:11	ga_ls8c_ard_3-1-0_109082_2020-09-18_final
2020-12-11 10:46:58	ga_ls8c_ard_3-1-0_105068_2020-12-11_final
2020-12-17 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-12-17_final
2021-01-28 10:48:44	ga_ls8c_ard_3-2-0_105073_2021-01-28_final
2021-02-07 11:23:24	ga_ls8c_ard_3-2-0_111067_2021-02-07_final
2021-06-18 10:19:09	ga_ls8c_ard_3-2-0_100077_2021-06-18_final
2021-08-18 09:52:09	ga_ls8c_ard_3-2-0_095086_2021-08-18_final
2021-09-09 09:15:58	ga_ls8c_ard_3-2-0_089088_2021-09-08_final
2021-09-25 10:49:19	ga_ls8c_ard_3-2-0_105074_2021-09-25_final
2021-10-17 10:14:21	ga_ls8c_ard_3-2-0_099079_2021-10-17_final
2021-11-15 11:18:16	ga_ls8c_ard_3-2-0_110069_2021-11-15_final
2021-11-19 09:17:50	ga_ls8c_ard_3-2-0_090077_2021-11-18_final
2022-01-06 09:17:21	ga_ls8c_ard_3-2-1_090076_2022-01-05_final
2022-01-26 10:33:24	ga_ls8c_ard_3-2-1_102081_2022-01-26_final
2022-02-17 09:58:14	ga_ls8c_ard_3-2-1_096086_2022-02-17_final
2022-04-10 11:10:33	ga_ls8c_ard_3-2-1_108082_2022-04-10_final
2022-05-15 11:42:22	ga_ls8c_ard_3-2-1_113084_2022-05-15_final
2022-05-20 10:16:51	ga_ls8c_ard_3-2-1_100071_2022-05-20_final
2022-05-23 10:49:21	ga_ls8c_ard_3-2-1_105075_2022-05-23_final
2022-07-15 11:08:09	ga_ls8c_ard_3-2-1_108075_2022-07-15_final
2022-10-15 11:36:46	ga_ls8c_ard_3-2-1_112084_2022-10-15_final
2022-10-24 11:25:06	ga_ls8c_ard_3-2-1_111070_2022-10-24_final
2022-11-09 11:25:06	ga_ls8c_ard_3-2-1_111070_2022-11-09_final
2022-12-22 09:29:03	ga_ls8c_ard_3-2-1_092074_2022-12-21_final
2022-12-23 10:10:18	ga_ls8c_ard_3-2-1_099069_2022-12-23_final
2023-02-24 11:07:13	ga_ls8c_ard_3-2-1_108073_2023-02-24_final
2023-03-10 11:19:29	ga_ls8c_ard_3-2-1_110073_2023-03-10_final
2023-05-16 10:09:59	ga_ls8c_ard_3-2-1_099071_2023-05-16_final
2023-07-02 09:28:17	ga_ls8c_ard_3-2-1_092074_2023-07-01_final
2023-08-11 10:19:33	ga_ls8c_ard_3-2-1_100078_2023-08-11_final
2023-10-01 10:49:56	ga_ls8c_ard_3-2-1_105076_2023-10-01_final
2023-10-06 11:07:39	ga_ls8c_ard_3-2-1_108074_2023-10-06_final
2023-11-02 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-01_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_final
2024-02-08 10:35:57	ga_ls8c_ard_3-2-1_103072_2024-02-08_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