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

62 results

Time (local)	Label
2013-09-08 09:36:40	ga_ls8c_ard_3-0-0_092089_2013-09-08_final
2013-11-18 09:35:42	ga_ls8c_ard_3-0-0_093072_2013-11-18_final
2013-12-07 10:09:21	ga_ls8c_ard_3-0-0_098079_2013-12-07_final
2013-12-20 11:15:35	ga_ls8c_ard_3-0-0_109075_2013-12-20_final
2014-02-26 10:47:19	ga_ls8c_ard_3-0-0_105068_2014-02-26_final
2014-05-29 09:33:36	ga_ls8c_ard_3-0-0_093072_2014-05-29_final
2014-08-25 10:27:33	ga_ls8c_ard_3-0-0_101082_2014-08-25_final
2014-08-28 09:21:10	ga_ls8c_ard_3-0-0_090086_2014-08-27_final
2014-10-03 10:33:50	ga_ls8c_ard_3-0-0_102082_2014-10-03_final
2015-01-08 11:11:47	ga_ls8c_ard_3-0-0_109069_2015-01-08_final
2015-01-24 09:34:23	ga_ls8c_ard_3-0-0_093073_2015-01-24_final
2015-08-07 10:09:45	ga_ls8c_ard_3-0-0_098085_2015-08-07_final
2015-08-11 09:39:54	ga_ls8c_ard_3-0-0_094072_2015-08-11_final
2016-01-09 11:25:45	ga_ls8c_ard_3-0-0_111073_2016-01-09_final
2016-01-27 09:37:42	ga_ls8c_ard_3-0-0_093081_2016-01-27_final
2016-05-01 10:28:28	ga_ls8c_ard_3-0-0_102070_2016-05-01_final
2016-05-15 10:42:46	ga_ls8c_ard_3-0-0_104075_2016-05-15_final
2016-05-18 09:40:00	ga_ls8c_ard_3-0-0_093088_2016-05-18_final
2016-06-29 10:09:21	ga_ls8c_ard_3-0-0_099068_2016-06-29_final
2016-07-15 10:13:04	ga_ls8c_ard_3-0-0_099077_2016-07-15_final
2016-12-10 09:46:18	ga_ls8c_ard_3-0-0_095071_2016-12-10_final
2017-12-09 10:10:04	ga_ls8c_ard_3-0-0_099069_2017-12-09_final
2018-01-16 11:16:58	ga_ls8c_ard_3-0-0_109082_2018-01-16_final
2018-04-27 09:51:47	ga_ls8c_ard_3-0-0_096072_2018-04-27_final
2018-07-15 10:48:58	ga_ls8c_ard_3-0-0_105076_2018-07-15_final
2018-08-18 10:38:53	ga_ls8c_ard_3-0-0_103081_2018-08-18_final
2018-11-03 11:45:45	ga_ls8c_ard_3-0-0_114077_2018-11-03_final
2018-12-21 10:04:01	ga_ls8c_ard_3-0-0_098070_2018-12-21_final
2018-12-22 10:48:53	ga_ls8c_ard_3-0-0_105074_2018-12-22_final
2019-04-16 11:20:10	ga_ls8c_ard_3-1-0_110076_2019-04-16_final
2019-09-23 11:20:13	ga_ls8c_ard_3-1-0_110074_2019-09-23_final
2019-10-26 10:28:16	ga_ls8c_ard_3-1-0_101083_2019-10-26_final
2019-11-19 11:14:51	ga_ls8c_ard_3-1-0_109076_2019-11-19_final
2020-01-26 09:13:02	ga_ls8c_ard_3-1-0_089081_2020-01-25_final
2020-02-28 09:57:21	ga_ls8c_ard_3-1-0_096084_2020-02-28_final
2020-03-08 11:26:00	ga_ls8c_ard_3-1-0_111074_2020-03-08_final
2020-08-09 10:23:03	ga_ls8c_ard_3-1-0_101071_2020-08-09_final
2020-10-21 11:58:31	ga_ls8c_ard_3-1-0_116077_2020-10-21_final
2020-12-12 11:32:37	ga_ls8c_ard_3-1-0_112074_2020-12-12_final
2021-01-08 11:17:57	ga_ls8c_ard_3-2-0_109084_2021-01-08_final
2021-05-25 09:34:20	ga_ls8c_ard_3-2-0_092089_2021-05-25_final
2021-06-16 10:27:55	ga_ls8c_ard_3-2-0_102068_2021-06-16_final
2021-09-17 09:58:15	ga_ls8c_ard_3-2-0_097070_2021-09-17_final
2021-11-02 11:53:13	ga_ls8c_ard_3-2-0_115079_2021-11-02_final
2021-12-13 10:04:30	ga_ls8c_ard_3-2-1_098070_2021-12-13_final
2022-05-04 10:17:08	ga_ls8c_ard_3-2-1_100072_2022-05-04_final
2022-11-21 10:10:51	ga_ls8c_ard_3-2-1_099070_2022-11-21_final
2022-11-25 11:30:14	ga_ls8c_ard_3-2-1_111083_2022-11-25_final
2023-01-24 10:11:29	ga_ls8c_ard_3-2-1_099072_2023-01-24_final
2023-03-13 10:11:30	ga_ls8c_ard_3-2-1_099073_2023-03-13_final
2023-03-21 09:24:45	ga_ls8c_ard_3-2-1_091080_2023-03-20_final
2023-04-27 11:23:24	ga_ls8c_ard_3-2-1_110084_2023-04-27_final
2023-06-19 09:58:14	ga_ls8c_ard_3-2-1_097072_2023-06-19_final
2023-08-04 10:10:11	ga_ls8c_ard_3-2-1_099070_2023-08-04_final
2023-09-02 11:19:54	ga_ls8c_ard_3-2-1_110074_2023-09-02_final
2023-09-22 09:17:34	ga_ls8c_ard_3-2-1_090077_2023-09-21_final
2023-09-27 09:39:44	ga_ls8c_ard_3-2-1_093086_2023-09-27_final
2024-01-13 09:58:06	ga_ls8c_ard_3-2-1_097070_2024-01-13_final
2024-01-26 09:28:40	ga_ls8c_ard_3-2-1_092074_2024-01-25_final
2024-02-10 10:23:11	ga_ls8c_ard_3-2-1_101071_2024-02-10_final
2024-02-29 12:31:16	ga_ls8c_ard_3-2-1_122067_2024-02-29_final
2024-03-24 10:03:26	ga_ls8c_ard_3-2-1_098069_2024-03-24_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