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

55 results

Time (local)	Label
2014-06-24 10:12:50	ga_ls8c_ard_3-0-0_099077_2014-06-24_final
2014-06-25 09:21:12	ga_ls8c_ard_3-0-0_090087_2014-06-24_final
2014-11-07 09:23:30	ga_ls8c_ard_3-0-0_091076_2014-11-06_final
2014-12-11 09:12:12	ga_ls8c_ard_3-0-0_089079_2014-12-10_final
2015-03-30 10:18:45	ga_ls8c_ard_3-0-0_100077_2015-03-30_final
2015-04-09 10:51:46	ga_ls8c_ard_3-0-0_106067_2015-04-09_final
2015-12-30 10:47:08	ga_ls8c_ard_3-0-0_105069_2015-12-30_final
2016-09-23 11:14:21	ga_ls8c_ard_3-0-0_109075_2016-09-23_final
2016-10-04 10:52:39	ga_ls8c_ard_3-0-0_106067_2016-10-04_final
2016-10-18 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-10-17_final
2016-12-28 09:39:28	ga_ls8c_ard_3-0-0_093085_2016-12-28_final
2017-02-04 10:35:52	ga_ls8c_ard_3-0-0_103072_2017-02-04_final
2017-02-08 10:09:30	ga_ls8c_ard_3-0-0_099068_2017-02-08_final
2017-02-23 09:34:09	ga_ls8c_ard_3-0-0_092088_2017-02-23_final
2017-03-11 11:06:31	ga_ls8c_ard_3-0-0_108072_2017-03-11_final
2017-03-28 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-03-28_final
2017-04-04 10:16:51	ga_ls8c_ard_3-0-0_100072_2017-04-04_final
2017-04-21 09:24:16	ga_ls8c_ard_3-0-0_091080_2017-04-20_final
2017-06-04 11:24:55	ga_ls8c_ard_3-0-0_111072_2017-06-04_final
2018-01-25 09:29:01	ga_ls8c_ard_3-0-0_092075_2018-01-24_final
2018-02-04 11:41:42	ga_ls8c_ard_3-0-0_114067_2018-02-04_final
2018-02-11 10:09:22	ga_ls8c_ard_3-0-0_099068_2018-02-11_final
2018-07-10 10:32:23	ga_ls8c_ard_3-0-0_102081_2018-07-10_final
2018-07-15 09:15:40	ga_ls8c_ard_3-0-0_089090_2018-07-14_final
2018-10-09 10:15:43	ga_ls8c_ard_3-0-0_099084_2018-10-09_final
2018-12-02 09:31:58	ga_ls8c_ard_3-0-0_093067_2018-12-02_final
2020-03-21 09:16:54	ga_ls8c_ard_3-1-0_090076_2020-03-20_final
2020-04-20 11:09:06	ga_ls8c_ard_3-1-0_108079_2020-04-20_final
2020-05-20 09:39:16	ga_ls8c_ard_3-1-0_094071_2020-05-20_final
2020-08-10 09:34:13	ga_ls8c_ard_3-1-0_092088_2020-08-10_final
2020-08-26 09:25:59	ga_ls8c_ard_3-1-0_092067_2020-08-25_final
2021-02-04 10:55:18	ga_ls8c_ard_3-2-0_106074_2021-02-04_final
2021-06-04 10:03:55	ga_ls8c_ard_3-2-0_098070_2021-06-04_final
2021-08-07 10:07:26	ga_ls8c_ard_3-2-0_098078_2021-08-07_final
2021-11-08 11:14:55	ga_ls8c_ard_3-2-0_109076_2021-11-08_final
2022-03-11 09:17:28	ga_ls8c_ard_3-2-1_090077_2022-03-10_final
2022-07-17 09:22:07	ga_ls8c_ard_3-2-1_090088_2022-07-16_final
2022-08-01 10:11:09	ga_ls8c_ard_3-2-1_099071_2022-08-01_final
2022-10-05 09:18:30	ga_ls8c_ard_3-2-1_090078_2022-10-04_final
2022-11-11 09:35:02	ga_ls8c_ard_3-2-1_093073_2022-11-11_final
2022-11-21 10:11:15	ga_ls8c_ard_3-2-1_099071_2022-11-21_final
2022-11-21 11:51:44	ga_ls8c_ard_3-2-1_115075_2022-11-21_final
2022-12-17 10:47:04	ga_ls8c_ard_3-2-1_105068_2022-12-17_final
2023-01-30 11:14:30	ga_ls8c_ard_3-2-1_109075_2023-01-30_final
2023-02-09 11:51:33	ga_ls8c_ard_3-2-1_115075_2023-02-09_final
2023-02-26 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-02-26_final
2023-05-10 09:11:27	ga_ls8c_ard_3-2-1_089079_2023-05-09_final
2023-06-17 10:13:23	ga_ls8c_ard_3-2-1_099079_2023-06-17_final
2023-06-18 10:52:15	ga_ls8c_ard_3-2-1_106068_2023-06-18_final
2023-10-29 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-10-29_final
2024-01-24 11:20:45	ga_ls8c_ard_3-2-1_110076_2024-01-24_final
2024-01-24 11:20:45	ga_ls8c_ard_3-2-1_110076_2024-01-24_nrt
2024-01-26 09:29:28	ga_ls8c_ard_3-2-1_092076_2024-01-25_final
2024-01-27 10:13:55	ga_ls8c_ard_3-2-1_099079_2024-01-27_final
2024-02-13 10:54:28	ga_ls8c_ard_3-2-1_106072_2024-02-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years