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

72 results

Time (local)	Label
2013-04-12 10:48:32	ga_ls8c_ard_3-0-0_105068_2013-04-12_final
2013-06-02 11:19:10	ga_ls8c_ard_3-0-0_110067_2013-06-02_final
2013-06-05 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-06-05_final
2013-11-13 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-11-12_final
2014-01-27 10:40:33	ga_ls8c_ard_3-0-0_103081_2014-01-27_final
2014-05-11 09:46:00	ga_ls8c_ard_3-0-0_095072_2014-05-11_final
2014-05-19 10:36:58	ga_ls8c_ard_3-0-0_103076_2014-05-19_final
2014-12-14 11:18:24	ga_ls8c_ard_3-0-0_110070_2014-12-14_final
2014-12-19 11:35:47	ga_ls8c_ard_3-0-0_113067_2014-12-19_final
2015-02-10 10:16:46	ga_ls8c_ard_3-0-0_100071_2015-02-10_final
2015-04-24 10:12:27	ga_ls8c_ard_3-0-0_099077_2015-04-24_final
2015-05-05 09:57:20	ga_ls8c_ard_3-0-0_096086_2015-05-05_final
2015-05-21 09:51:14	ga_ls8c_ard_3-0-0_096071_2015-05-21_final
2015-06-24 11:18:26	ga_ls8c_ard_3-0-0_110072_2015-06-24_final
2015-08-23 10:03:07	ga_ls8c_ard_3-0-0_098068_2015-08-23_final
2015-09-10 11:30:33	ga_ls8c_ard_3-0-0_112070_2015-09-10_final
2016-02-06 10:11:09	ga_ls8c_ard_3-0-0_099072_2016-02-06_final
2016-02-13 10:19:15	ga_ls8c_ard_3-0-0_100077_2016-02-13_final
2016-08-13 11:19:09	ga_ls8c_ard_3-0-0_110072_2016-08-13_final
2017-05-17 09:56:13	ga_ls8c_ard_3-0-0_097067_2017-05-17_final
2017-06-04 09:44:02	ga_ls8c_ard_3-0-0_095067_2017-06-04_final
2017-08-26 10:19:23	ga_ls8c_ard_3-0-0_100077_2017-08-26_final
2017-09-09 10:33:22	ga_ls8c_ard_3-0-0_102081_2017-09-09_final
2017-11-16 10:04:47	ga_ls8c_ard_3-1-0_098071_2017-11-16_final
2018-05-25 10:18:35	ga_ls8c_ard_3-0-0_100078_2018-05-25_final
2018-07-28 10:18:57	ga_ls8c_ard_3-0-0_100078_2018-07-28_final
2018-08-14 09:21:30	ga_ls8c_ard_3-0-0_091073_2018-08-13_final
2018-08-31 11:45:46	ga_ls8c_ard_3-0-0_114078_2018-08-31_final
2018-09-29 11:13:27	ga_ls8c_ard_3-0-0_109074_2018-09-29_final
2019-01-24 11:29:16	ga_ls8c_ard_3-0-0_112067_2019-01-24_final
2019-02-11 11:18:04	ga_ls8c_ard_3-0-0_110070_2019-02-11_final
2019-02-20 11:13:27	ga_ls8c_ard_3-0-0_109074_2019-02-20_final
2019-04-02 11:07:29	ga_ls8c_ard_3-1-0_108075_2019-04-02_final
2019-04-28 10:06:44	ga_ls8c_ard_3-0-0_098078_2019-04-28_final
2019-05-13 09:22:02	ga_ls8c_ard_3-0-0_091074_2019-05-12_final
2019-08-05 10:39:31	ga_ls8c_ard_3-1-0_103081_2019-08-05_final
2019-09-07 11:20:07	ga_ls8c_ard_3-1-0_110074_2019-09-07_final
2020-01-10 10:49:12	ga_ls8c_ard_3-1-0_105074_2020-01-10_final
2020-03-17 11:19:45	ga_ls8c_ard_3-1-0_110074_2020-03-17_final
2020-04-11 11:13:45	ga_ls8c_ard_3-1-0_109075_2020-04-11_final
2020-05-26 10:45:28	ga_ls8c_ard_3-1-0_104082_2020-05-26_final
2020-06-23 09:34:22	ga_ls8c_ard_3-1-0_092089_2020-06-23_final
2020-07-26 10:13:03	ga_ls8c_ard_3-1-0_099077_2020-07-26_final
2021-01-22 11:25:26	ga_ls8c_ard_3-2-0_111072_2021-01-22_final
2021-02-20 09:21:56	ga_ls8c_ard_3-2-0_090088_2021-02-19_final
2021-03-02 11:29:51	ga_ls8c_ard_3-2-0_112068_2021-03-02_final
2021-06-04 10:03:55	ga_ls8c_ard_3-2-0_098070_2021-06-04_final
2021-06-09 10:25:17	ga_ls8c_ard_3-2-0_101077_2021-06-09_final
2022-01-21 10:09:19	ga_ls8c_ard_3-2-1_099067_2022-01-21_final
2022-01-24 09:07:18	ga_ls8c_ard_3-2-1_088082_2022-01-23_final
2022-02-03 11:18:27	ga_ls8c_ard_3-2-1_110070_2022-02-03_final
2022-02-13 10:17:00	ga_ls8c_ard_3-2-1_100071_2022-02-13_final
2022-02-13 10:19:23	ga_ls8c_ard_3-2-1_100077_2022-02-13_final
2022-03-18 09:22:47	ga_ls8c_ard_3-2-1_091075_2022-03-17_final
2022-03-26 10:13:19	ga_ls8c_ard_3-2-1_099078_2022-03-26_final
2022-04-06 09:57:09	ga_ls8c_ard_3-2-1_096084_2022-04-06_final
2022-06-29 11:08:11	ga_ls8c_ard_3-2-1_108075_2022-06-29_final
2022-09-23 10:33:54	ga_ls8c_ard_3-2-1_102081_2022-09-23_final
2022-12-11 09:46:56	ga_ls8c_ard_3-2-1_095072_2022-12-11_final
2022-12-31 11:01:47	ga_ls8c_ard_3-2-1_107074_2022-12-31_final
2023-01-07 11:11:32	ga_ls8c_ard_3-2-1_108083_2023-01-07_final
2023-01-12 11:24:51	ga_ls8c_ard_3-2-1_111070_2023-01-12_final
2023-02-25 10:13:10	ga_ls8c_ard_3-2-1_099077_2023-02-25_final
2023-03-02 10:33:18	ga_ls8c_ard_3-2-1_102081_2023-03-02_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-08-06 09:57:50	ga_ls8c_ard_3-2-1_097070_2023-08-06_final
2023-10-23 10:14:05	ga_ls8c_ard_3-2-1_099079_2023-10-23_final
2023-12-17 10:19:30	ga_ls8c_ard_3-2-1_100077_2023-12-17_final
2024-01-17 11:12:39	ga_ls8c_ard_3-2-1_109071_2024-01-17_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
2024-03-11 10:35:42	ga_ls8c_ard_3-2-1_103072_2024-03-11_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