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

56 results

Time (local)	Label
2013-10-15 09:48:40	ga_ls8c_ard_3-0-0_095073_2013-10-15_final
2014-03-17 11:21:11	ga_ls8c_ard_3-0-0_110076_2014-03-17_final
2014-05-22 09:25:46	ga_ls8c_ard_3-0-0_092068_2014-05-21_final
2015-03-11 11:25:19	ga_ls8c_ard_3-0-0_111073_2015-03-11_final
2015-04-05 11:23:16	ga_ls8c_ard_3-0-0_110084_2015-04-05_final
2015-04-26 10:02:28	ga_ls8c_ard_3-0-0_097083_2015-04-26_final
2015-09-25 09:14:06	ga_ls8c_ard_3-0-0_089084_2015-09-24_final
2015-10-28 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-10-28_final
2016-10-22 10:40:47	ga_ls8c_ard_3-0-0_104068_2016-10-22_final
2016-11-15 11:31:48	ga_ls8c_ard_3-0-0_112072_2016-11-15_final
2016-12-14 09:27:09	ga_ls8c_ard_3-0-0_091085_2016-12-13_final
2017-04-04 10:18:51	ga_ls8c_ard_3-0-0_100077_2017-04-04_final
2017-06-06 11:13:46	ga_ls8c_ard_3-0-0_109075_2017-06-06_final
2017-10-26 11:29:59	ga_ls8c_ard_3-0-0_111083_2017-10-26_final
2017-12-18 10:03:56	ga_ls8c_ard_3-0-0_098069_2017-12-18_final
2018-06-25 11:15:07	ga_ls8c_ard_3-0-0_109080_2018-06-25_final
2018-07-05 10:09:49	ga_ls8c_ard_3-0-0_099071_2018-07-05_final
2019-01-26 09:38:01	ga_ls8c_ard_3-0-0_094067_2019-01-26_final
2019-01-26 11:19:42	ga_ls8c_ard_3-0-0_110074_2019-01-26_final
2019-03-23 10:28:03	ga_ls8c_ard_3-1-0_102069_2019-03-23_final
2019-06-24 11:38:19	ga_ls8c_ard_3-1-0_113074_2019-06-24_final
2019-08-08 11:07:38	ga_ls8c_ard_3-1-0_108074_2019-08-08_final
2019-08-13 11:24:37	ga_ls8c_ard_3-1-0_111070_2019-08-13_final
2019-08-15 09:39:46	ga_ls8c_ard_3-1-0_093086_2019-08-15_final
2019-10-16 09:52:23	ga_ls8c_ard_3-1-0_095086_2019-10-16_final
2020-01-08 11:00:22	ga_ls8c_ard_3-1-0_107071_2020-01-08_final
2020-01-15 09:32:26	ga_ls8c_ard_3-1-0_092083_2020-01-15_final
2020-02-09 09:20:08	ga_ls8c_ard_3-1-0_091068_2020-02-08_final
2020-02-09 11:03:49	ga_ls8c_ard_3-1-0_107080_2020-02-09_final
2020-04-13 09:28:29	ga_ls8c_ard_3-1-0_091090_2020-04-12_final
2020-06-06 10:27:02	ga_ls8c_ard_3-1-0_101082_2020-06-06_final
2020-06-23 11:07:40	ga_ls8c_ard_3-1-0_108075_2020-06-23_final
2020-06-25 10:55:43	ga_ls8c_ard_3-1-0_106076_2020-06-25_final
2020-09-27 11:06:15	ga_ls8c_ard_3-1-0_108070_2020-09-27_final
2020-12-21 11:24:49	ga_ls8c_ard_3-2-0_111070_2020-12-21_final
2021-01-12 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-01-11_final
2021-02-16 11:20:46	ga_ls8c_ard_3-2-0_110076_2021-02-16_final
2021-05-14 11:28:51	ga_ls8c_ard_3-2-0_111082_2021-05-14_final
2021-06-04 10:09:06	ga_ls8c_ard_3-2-0_098083_2021-06-04_final
2021-08-24 09:11:54	ga_ls8c_ard_3-2-0_089078_2021-08-23_final
2021-09-07 09:27:56	ga_ls8c_ard_3-2-0_091087_2021-09-06_final
2021-09-27 10:39:46	ga_ls8c_ard_3-2-0_103081_2021-09-27_final
2022-01-05 10:10:10	ga_ls8c_ard_3-2-1_099069_2022-01-05_final
2022-02-13 10:19:23	ga_ls8c_ard_3-2-1_100077_2022-02-13_final
2022-03-11 09:17:28	ga_ls8c_ard_3-2-1_090077_2022-03-10_final
2023-03-12 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-03-12_final
2023-10-04 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-04_final
2023-10-11 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-10-11_final
2023-10-15 09:26:38	ga_ls8c_ard_3-2-1_091084_2023-10-14_final
2023-10-15 09:26:38	ga_ls8c_ard_3-2-1_091084_2023-10-14_nrt
2023-10-18 09:55:56	ga_ls8c_ard_3-2-1_096080_2023-10-18_final
2023-11-19 09:56:24	ga_ls8c_ard_3-2-1_096081_2023-11-19_final
2023-12-04 09:16:15	ga_ls8c_ard_3-2-1_089089_2023-12-03_final
2024-02-21 10:05:24	ga_ls8c_ard_3-2-1_098073_2024-02-21_final
2024-03-31 10:10:44	ga_ls8c_ard_3-2-1_099072_2024-03-31_final
2024-04-20 11:23:57	ga_ls8c_ard_3-2-1_111070_2024-04-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years