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

58 results

Time (local)	Label
2013-11-23 09:59:45	ga_ls8c_ard_3-0-0_096086_2013-11-23_final
2013-12-02 09:48:02	ga_ls8c_ard_3-0-0_095072_2013-12-02_final
2014-01-31 10:14:59	ga_ls8c_ard_3-0-0_099079_2014-01-31_final
2014-02-11 09:51:29	ga_ls8c_ard_3-0-0_096067_2014-02-11_final
2014-08-06 09:58:11	ga_ls8c_ard_3-0-0_096086_2014-08-06_final
2015-01-15 09:40:15	ga_ls8c_ard_3-0-0_094072_2015-01-15_final
2015-05-19 10:05:59	ga_ls8c_ard_3-0-0_098077_2015-05-19_final
2016-05-16 11:25:15	ga_ls8c_ard_3-0-0_111073_2016-05-16_final
2016-12-08 11:37:57	ga_ls8c_ard_3-0-0_113072_2016-12-08_final
2017-02-07 09:27:51	ga_ls8c_ard_3-0-0_092072_2017-02-06_final
2017-05-05 09:33:21	ga_ls8c_ard_3-0-0_093072_2017-05-05_final
2017-08-14 09:58:13	ga_ls8c_ard_3-0-0_096086_2017-08-14_final
2017-09-03 09:32:46	ga_ls8c_ard_3-0-0_092084_2017-09-03_final
2017-10-27 10:29:34	ga_ls8c_ard_3-0-0_102071_2017-10-27_final
2017-11-25 11:37:50	ga_ls8c_ard_3-0-0_113072_2017-11-25_final
2017-12-02 10:09:53	ga_ls8c_ard_3-0-0_098084_2017-12-02_final
2018-01-17 10:19:44	ga_ls8c_ard_3-0-0_100078_2018-01-17_final
2018-04-10 10:45:59	ga_ls8c_ard_3-0-0_105068_2018-04-10_final
2018-06-16 09:38:43	ga_ls8c_ard_3-0-0_094071_2018-06-16_final
2018-08-21 09:32:56	ga_ls8c_ard_3-0-0_092086_2018-08-21_final
2018-09-20 11:23:32	ga_ls8c_ard_3-0-0_110084_2018-09-20_final
2018-11-14 09:44:21	ga_ls8c_ard_3-0-0_095067_2018-11-14_final
2019-04-16 09:39:41	ga_ls8c_ard_3-1-0_094072_2019-04-16_final
2019-04-20 10:55:24	ga_ls8c_ard_3-0-0_106076_2019-04-20_final
2019-04-25 09:33:26	ga_ls8c_ard_3-0-0_093072_2019-04-25_final
2019-05-07 11:41:55	ga_ls8c_ard_3-0-0_113084_2019-05-07_final
2019-12-04 10:33:34	ga_ls8c_ard_3-1-0_102081_2019-12-04_final
2020-01-06 09:35:50	ga_ls8c_ard_3-1-0_093076_2020-01-06_final
2020-02-14 09:39:52	ga_ls8c_ard_3-1-0_094071_2020-02-14_final
2020-04-07 10:03:36	ga_ls8c_ard_3-1-0_097085_2020-04-07_final
2020-05-25 11:41:29	ga_ls8c_ard_3-1-0_113083_2020-05-25_final
2020-05-27 11:23:57	ga_ls8c_ard_3-1-0_111070_2020-05-27_final
2020-08-12 09:20:40	ga_ls8c_ard_3-1-0_090085_2020-08-11_final
2021-01-31 09:40:45	ga_ls8c_ard_3-2-0_094073_2021-01-31_final
2021-03-27 09:44:12	ga_ls8c_ard_3-2-0_095067_2021-03-27_final
2021-04-12 09:52:06	ga_ls8c_ard_3-2-0_095087_2021-04-12_final
2021-04-24 10:09:09	ga_ls8c_ard_3-2-0_099068_2021-04-24_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-07-01 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-07-01_final
2021-12-13 11:46:10	ga_ls8c_ard_3-2-1_114077_2021-12-13_final
2022-01-20 11:08:08	ga_ls8c_ard_3-2-1_108075_2022-01-20_final
2022-03-13 09:07:05	ga_ls8c_ard_3-2-1_088082_2022-03-12_final
2022-06-12 10:27:37	ga_ls8c_ard_3-2-1_101082_2022-06-12_final
2022-06-18 11:23:53	ga_ls8c_ard_3-2-1_111068_2022-06-18_final
2022-07-15 09:34:28	ga_ls8c_ard_3-2-1_092088_2022-07-15_final
2022-10-18 10:24:26	ga_ls8c_ard_3-2-1_101073_2022-10-18_final
2022-11-17 10:39:10	ga_ls8c_ard_3-2-1_103079_2022-11-17_final
2022-12-10 10:46:33	ga_ls8c_ard_3-2-1_104082_2022-12-10_final
2023-04-11 11:17:28	ga_ls8c_ard_3-2-1_110069_2023-04-11_final
2023-06-24 10:19:11	ga_ls8c_ard_3-2-1_100078_2023-06-24_final
2023-07-02 11:05:34	ga_ls8c_ard_3-2-1_108070_2023-07-02_final
2023-10-08 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-10-07_final
2023-12-12 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-12-12_final
2023-12-27 10:53:23	ga_ls8c_ard_3-2-1_106069_2023-12-27_final
2024-02-19 10:17:22	ga_ls8c_ard_3-2-1_100072_2024-02-19_final
2024-03-06 10:19:35	ga_ls8c_ard_3-2-1_100078_2024-03-06_final
2024-03-26 09:52:13	ga_ls8c_ard_3-2-1_096072_2024-03-26_final
2024-04-16 10:09:27	ga_ls8c_ard_3-2-1_099069_2024-04-16_nrt

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