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

69 results

Time (local)	Label
2013-10-05 09:16:48	ga_ls8c_ard_3-0-0_089086_2013-10-04_final
2014-01-31 11:52:17	ga_ls8c_ard_3-0-0_115075_2014-01-31_final
2014-02-05 10:29:05	ga_ls8c_ard_3-0-0_102068_2014-02-05_final
2014-05-22 09:33:21	ga_ls8c_ard_3-0-0_092087_2014-05-22_final
2014-05-27 11:22:50	ga_ls8c_ard_3-0-0_111067_2014-05-27_final
2014-08-03 09:28:51	ga_ls8c_ard_3-0-0_091090_2014-08-02_final
2014-09-05 10:07:28	ga_ls8c_ard_3-0-0_098078_2014-09-05_final
2014-09-13 09:22:02	ga_ls8c_ard_3-0-0_090088_2014-09-12_final
2014-11-11 10:34:29	ga_ls8c_ard_3-0-0_103068_2014-11-11_final
2015-08-07 10:06:34	ga_ls8c_ard_3-0-0_098077_2015-08-07_final
2016-01-07 09:57:38	ga_ls8c_ard_3-0-0_097069_2016-01-07_final
2016-05-11 11:05:06	ga_ls8c_ard_3-0-0_108069_2016-05-11_final
2016-06-23 10:49:34	ga_ls8c_ard_3-0-0_105076_2016-06-23_final
2016-07-01 09:56:37	ga_ls8c_ard_3-0-0_097067_2016-07-01_final
2016-07-09 09:11:38	ga_ls8c_ard_3-0-0_089078_2016-07-08_final
2016-08-14 10:27:08	ga_ls8c_ard_3-0-0_101081_2016-08-14_final
2017-01-23 11:52:31	ga_ls8c_ard_3-0-0_115078_2017-01-23_final
2017-02-12 11:25:38	ga_ls8c_ard_3-0-0_111073_2017-02-12_final
2017-03-06 09:13:08	ga_ls8c_ard_3-0-0_089082_2017-03-05_final
2017-03-14 09:56:30	ga_ls8c_ard_3-0-0_097067_2017-03-14_final
2017-04-14 10:53:27	ga_ls8c_ard_3-0-0_106071_2017-04-14_final
2017-06-01 10:52:00	ga_ls8c_ard_3-0-0_106067_2017-06-01_final
2017-06-16 10:09:14	ga_ls8c_ard_3-0-0_099068_2017-06-16_final
2017-08-13 10:49:02	ga_ls8c_ard_3-0-0_105074_2017-08-13_final
2017-08-24 10:33:20	ga_ls8c_ard_3-0-0_102081_2017-08-24_final
2017-12-18 10:04:20	ga_ls8c_ard_3-0-0_098070_2017-12-18_final
2017-12-19 09:12:18	ga_ls8c_ard_3-0-0_089079_2017-12-18_final
2017-12-29 09:51:22	ga_ls8c_ard_3-0-0_095084_2017-12-29_final
2018-01-17 11:57:25	ga_ls8c_ard_3-0-0_116075_2018-01-17_final
2018-02-11 10:10:33	ga_ls8c_ard_3-0-0_099071_2018-02-11_final
2018-05-19 10:57:20	ga_ls8c_ard_3-0-0_106082_2018-05-19_final
2018-06-10 10:18:32	ga_ls8c_ard_3-0-0_100078_2018-06-10_final
2018-07-01 10:38:29	ga_ls8c_ard_3-0-0_103081_2018-07-01_final
2018-07-31 09:09:24	ga_ls8c_ard_3-0-0_089074_2018-07-30_final
2018-08-31 10:09:17	ga_ls8c_ard_3-0-0_098084_2018-08-31_final
2018-09-02 11:29:02	ga_ls8c_ard_3-0-0_112067_2018-09-02_final
2019-03-22 09:45:11	ga_ls8c_ard_3-1-0_095070_2019-03-22_final
2019-05-26 10:32:56	ga_ls8c_ard_3-0-0_102081_2019-05-26_final
2019-05-31 09:11:26	ga_ls8c_ard_3-0-0_089078_2019-05-30_final
2019-07-15 10:21:14	ga_ls8c_ard_3-1-0_100082_2019-07-15_final
2019-08-13 11:24:37	ga_ls8c_ard_3-1-0_111070_2019-08-13_final
2019-10-22 10:47:00	ga_ls8c_ard_3-1-0_105068_2019-10-22_final
2020-01-04 09:47:01	ga_ls8c_ard_3-1-0_095073_2020-01-04_final
2020-03-10 09:33:57	ga_ls8c_ard_3-1-0_093072_2020-03-10_final
2020-06-02 09:11:13	ga_ls8c_ard_3-1-0_089078_2020-06-01_final
2020-06-30 09:33:49	ga_ls8c_ard_3-1-0_093072_2020-06-30_final
2020-07-01 10:19:29	ga_ls8c_ard_3-1-0_100078_2020-07-01_final
2020-10-04 11:13:39	ga_ls8c_ard_3-1-0_109073_2020-10-04_final
2020-10-11 11:24:14	ga_ls8c_ard_3-1-0_110084_2020-10-11_final
2021-02-07 11:24:12	ga_ls8c_ard_3-2-0_111069_2021-02-07_final
2021-04-22 10:22:43	ga_ls8c_ard_3-2-0_101071_2021-04-22_final
2021-06-19 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-06-18_final
2021-06-28 10:52:41	ga_ls8c_ard_3-2-0_106068_2021-06-28_final
2022-01-24 09:07:18	ga_ls8c_ard_3-2-1_088082_2022-01-23_final
2022-05-13 10:10:38	ga_ls8c_ard_3-2-1_099071_2022-05-13_final
2022-06-02 11:24:06	ga_ls8c_ard_3-2-1_111069_2022-06-02_final
2022-06-18 11:24:41	ga_ls8c_ard_3-2-1_111070_2022-06-18_final
2022-06-21 10:17:07	ga_ls8c_ard_3-2-1_100071_2022-06-21_final
2022-07-06 09:34:41	ga_ls8c_ard_3-2-1_093073_2022-07-06_final
2022-11-07 11:38:17	ga_ls8c_ard_3-2-1_113072_2022-11-07_final
2022-11-27 09:39:47	ga_ls8c_ard_3-2-1_093085_2022-11-27_final
2023-02-02 10:04:56	ga_ls8c_ard_3-2-1_098071_2023-02-02_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_final
2023-03-13 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-03-13_final
2023-03-19 11:14:02	ga_ls8c_ard_3-2-1_109075_2023-03-19_final
2023-07-30 09:55:12	ga_ls8c_ard_3-2-1_096079_2023-07-30_final
2023-07-31 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-07-31_final
2023-11-24 10:10:59	ga_ls8c_ard_3-2-1_099071_2023-11-24_final
2024-02-19 10:17:22	ga_ls8c_ard_3-2-1_100072_2024-02-19_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