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

54 results

Time (local)	Label
2013-08-25 09:19:09	ga_ls8c_ard_3-0-0_090076_2013-08-24_final
2013-09-25 10:15:00	ga_ls8c_ard_3-0-0_099077_2013-09-25_final
2014-05-30 10:18:53	ga_ls8c_ard_3-0-0_100077_2014-05-30_final
2014-06-03 11:29:30	ga_ls8c_ard_3-0-0_112068_2014-06-03_final
2014-09-23 09:50:41	ga_ls8c_ard_3-0-0_096067_2014-09-23_final
2014-10-25 09:50:48	ga_ls8c_ard_3-0-0_096067_2014-10-25_final
2014-10-31 09:21:39	ga_ls8c_ard_3-0-0_090087_2014-10-30_final
2014-12-14 11:17:12	ga_ls8c_ard_3-0-0_110067_2014-12-14_final
2015-01-10 09:21:44	ga_ls8c_ard_3-0-0_091072_2015-01-09_final
2015-10-28 09:50:41	ga_ls8c_ard_3-0-0_096067_2015-10-28_final
2015-12-15 09:51:31	ga_ls8c_ard_3-0-0_096069_2015-12-15_final
2015-12-31 09:50:42	ga_ls8c_ard_3-0-0_096067_2015-12-31_final
2017-02-12 11:24:02	ga_ls8c_ard_3-0-0_111069_2017-02-12_final
2017-03-13 09:16:51	ga_ls8c_ard_3-0-0_090076_2017-03-12_final
2018-07-21 10:12:43	ga_ls8c_ard_3-0-0_099078_2018-07-21_final
2018-07-23 09:55:59	ga_ls8c_ard_3-0-0_097067_2018-07-23_final
2019-01-23 09:11:31	ga_ls8c_ard_3-0-0_089078_2019-01-22_final
2019-04-03 11:52:44	ga_ls8c_ard_3-1-0_115080_2019-04-03_final
2019-07-15 10:19:39	ga_ls8c_ard_3-1-0_100078_2019-07-15_final
2019-07-24 10:13:31	ga_ls8c_ard_3-1-0_099078_2019-07-24_final
2019-12-30 09:28:06	ga_ls8c_ard_3-1-0_092072_2019-12-29_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-01-16 11:52:58	ga_ls8c_ard_3-1-0_115079_2020-01-16_final
2020-02-05 11:24:09	ga_ls8c_ard_3-1-0_111069_2020-02-05_final
2020-02-12 11:29:55	ga_ls8c_ard_3-1-0_112068_2020-02-12_final
2020-03-01 11:17:04	ga_ls8c_ard_3-1-0_110067_2020-03-01_final
2020-03-14 09:13:35	ga_ls8c_ard_3-1-0_089083_2020-03-13_final
2020-06-30 11:13:30	ga_ls8c_ard_3-1-0_109074_2020-06-30_final
2020-09-13 09:17:20	ga_ls8c_ard_3-1-0_090076_2020-09-12_final
2020-09-22 09:10:24	ga_ls8c_ard_3-1-0_089074_2020-09-21_final
2020-09-23 09:51:40	ga_ls8c_ard_3-1-0_096069_2020-09-23_final
2021-03-11 09:45:30	ga_ls8c_ard_3-2-0_095070_2021-03-11_final
2021-06-25 10:27:21	ga_ls8c_ard_3-2-0_101082_2021-06-25_final
2021-11-09 10:20:05	ga_ls8c_ard_3-2-0_100078_2021-11-09_final
2021-12-21 09:17:25	ga_ls8c_ard_3-2-1_090076_2021-12-20_final
2022-01-21 10:10:07	ga_ls8c_ard_3-2-1_099069_2022-01-21_final
2022-06-04 09:33:41	ga_ls8c_ard_3-2-1_093071_2022-06-04_final
2022-06-08 09:11:48	ga_ls8c_ard_3-2-1_089078_2022-06-07_final
2022-07-21 10:33:33	ga_ls8c_ard_3-2-1_102081_2022-07-21_final
2022-10-25 10:34:16	ga_ls8c_ard_3-2-1_102082_2022-10-25_final
2022-11-12 10:17:53	ga_ls8c_ard_3-2-1_100072_2022-11-12_final
2023-01-17 10:02:50	ga_ls8c_ard_3-2-1_098066_2023-01-17_final
2023-03-19 09:39:09	ga_ls8c_ard_3-2-1_093085_2023-03-19_final
2023-03-22 10:04:25	ga_ls8c_ard_3-2-1_098071_2023-03-22_final
2023-03-29 10:08:32	ga_ls8c_ard_3-2-1_099066_2023-03-29_final
2023-05-19 10:45:17	ga_ls8c_ard_3-2-1_104082_2023-05-19_final
2023-07-13 09:10:13	ga_ls8c_ard_3-2-1_089075_2023-07-12_final
2023-09-05 10:13:29	ga_ls8c_ard_3-2-1_099078_2023-09-05_final
2023-10-10 09:07:41	ga_ls8c_ard_3-2-1_088083_2023-10-09_final
2023-11-19 11:31:42	ga_ls8c_ard_3-2-1_112072_2023-11-19_final
2024-01-10 09:28:46	ga_ls8c_ard_3-2-1_092074_2024-01-09_final
2024-01-12 09:17:13	ga_ls8c_ard_3-2-1_090076_2024-01-11_final
2024-03-25 09:16:10	ga_ls8c_ard_3-2-1_089090_2024-03-24_final
2024-04-10 09:09:42	ga_ls8c_ard_3-2-1_089074_2024-04-09_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