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

73 results

Time (local)	Label
2013-04-12 10:51:44	ga_ls8c_ard_3-0-0_105076_2013-04-12_final
2013-04-30 10:36:26	ga_ls8c_ard_3-0-0_103069_2013-04-30_final
2013-06-09 11:25:19	ga_ls8c_ard_3-0-0_111067_2013-06-09_final
2014-01-08 11:43:08	ga_ls8c_ard_3-0-0_114067_2014-01-08_final
2014-04-14 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-04-14_final
2014-11-05 11:13:56	ga_ls8c_ard_3-0-0_109074_2014-11-05_final
2015-01-26 09:22:02	ga_ls8c_ard_3-0-0_091073_2015-01-25_final
2015-02-23 09:50:12	ga_ls8c_ard_3-0-0_095082_2015-02-23_final
2015-02-27 11:02:21	ga_ls8c_ard_3-0-0_107077_2015-02-27_final
2015-02-28 10:04:19	ga_ls8c_ard_3-1-0_098071_2015-02-28_final
2015-04-15 10:18:41	ga_ls8c_ard_3-0-0_100077_2015-04-15_final
2015-08-11 09:39:54	ga_ls8c_ard_3-0-0_094072_2015-08-11_final
2016-01-12 10:21:46	ga_ls8c_ard_3-0-0_100083_2016-01-12_final
2016-02-13 10:19:15	ga_ls8c_ard_3-0-0_100077_2016-02-13_final
2016-02-16 09:11:38	ga_ls8c_ard_3-0-0_089078_2016-02-15_final
2016-08-01 10:53:12	ga_ls8c_ard_3-0-0_106069_2016-08-01_final
2016-08-11 09:52:13	ga_ls8c_ard_3-0-0_096071_2016-08-11_final
2016-08-20 09:47:18	ga_ls8c_ard_3-0-0_095074_2016-08-20_final
2017-02-03 11:29:30	ga_ls8c_ard_3-0-0_112067_2017-02-03_final
2017-02-22 10:22:59	ga_ls8c_ard_3-0-0_101071_2017-02-22_final
2017-04-06 10:08:52	ga_ls8c_ard_3-0-0_098083_2017-04-06_final
2017-05-25 09:14:27	ga_ls8c_ard_3-0-0_089086_2017-05-24_final
2017-05-25 10:50:08	ga_ls8c_ard_3-0-0_105078_2017-05-25_final
2017-07-05 10:45:48	ga_ls8c_ard_3-0-0_104082_2017-07-05_final
2017-09-19 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-09-19_final
2017-10-31 11:44:56	ga_ls8c_ard_3-0-0_114074_2017-10-31_final
2017-11-16 10:07:11	ga_ls8c_ard_3-0-0_098077_2017-11-16_final
2018-02-28 10:52:54	ga_ls8c_ard_3-0-0_106069_2018-02-28_final
2018-04-19 09:06:48	ga_ls8c_ard_3-0-0_088083_2018-04-18_final
2018-10-05 10:39:12	ga_ls8c_ard_3-0-0_103081_2018-10-05_final
2018-10-19 10:52:03	ga_ls8c_ard_3-0-0_105082_2018-10-19_final
2018-11-15 10:29:12	ga_ls8c_ard_3-0-0_102071_2018-11-15_final
2018-12-04 11:04:52	ga_ls8c_ard_3-0-0_107083_2018-12-04_final
2019-01-20 10:17:07	ga_ls8c_ard_3-0-0_100072_2019-01-20_final
2019-02-04 11:14:17	ga_ls8c_ard_3-0-0_109076_2019-02-04_final
2019-02-11 11:19:15	ga_ls8c_ard_3-0-0_110073_2019-02-11_final
2019-03-17 09:29:03	ga_ls8c_ard_3-1-0_092076_2019-03-16_final
2019-05-03 10:22:31	ga_ls8c_ard_3-0-0_101071_2019-05-03_final
2019-05-10 10:27:35	ga_ls8c_ard_3-0-0_102068_2019-05-10_final
2019-06-01 11:35:35	ga_ls8c_ard_3-0-0_112083_2019-06-01_final
2019-06-19 09:39:40	ga_ls8c_ard_3-1-0_094071_2019-06-19_final
2019-07-23 11:11:31	ga_ls8c_ard_3-1-0_108084_2019-07-23_final
2019-07-27 10:43:14	ga_ls8c_ard_3-1-0_104075_2019-07-27_final
2019-09-29 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-09-28_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-10-04 11:17:14	ga_ls8c_ard_3-1-0_109082_2020-10-04_final
2021-02-14 11:31:33	ga_ls8c_ard_3-2-0_112072_2021-02-14_final
2021-04-05 11:19:40	ga_ls8c_ard_3-2-0_110074_2021-04-05_final
2021-04-22 10:27:30	ga_ls8c_ard_3-2-0_101083_2021-04-22_final
2021-05-08 10:26:35	ga_ls8c_ard_3-2-0_101081_2021-05-08_final
2021-05-26 10:10:25	ga_ls8c_ard_3-2-0_099071_2021-05-26_final
2021-08-02 11:25:45	ga_ls8c_ard_3-2-0_111073_2021-08-02_final
2021-08-23 10:03:08	ga_ls8c_ard_3-2-0_098067_2021-08-23_final
2021-09-02 10:41:52	ga_ls8c_ard_3-2-0_104071_2021-09-02_final
2021-09-23 09:28:22	ga_ls8c_ard_3-2-0_091088_2021-09-22_final
2021-09-30 09:34:12	ga_ls8c_ard_3-2-0_092087_2021-09-30_final
2021-12-14 09:12:04	ga_ls8c_ard_3-2-1_089078_2021-12-13_final
2022-01-28 10:21:50	ga_ls8c_ard_3-2-1_100083_2022-01-28_final
2022-02-22 10:13:09	ga_ls8c_ard_3-2-1_099077_2022-02-22_final
2022-03-15 10:28:24	ga_ls8c_ard_3-2-1_102069_2022-03-15_final
2022-04-14 10:45:51	ga_ls8c_ard_3-2-1_104082_2022-04-14_final
2022-09-25 10:17:33	ga_ls8c_ard_3-2-1_100071_2022-09-25_final
2022-12-13 11:14:38	ga_ls8c_ard_3-2-1_109075_2022-12-13_final
2022-12-20 11:21:55	ga_ls8c_ard_3-2-1_110078_2022-12-20_final
2023-02-03 10:46:59	ga_ls8c_ard_3-2-1_105068_2023-02-03_final
2023-02-22 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-02-22_final
2023-02-22 11:20:26	ga_ls8c_ard_3-2-1_110075_2023-02-22_final
2023-06-02 10:54:53	ga_ls8c_ard_3-2-1_106075_2023-06-02_final
2023-06-23 11:14:00	ga_ls8c_ard_3-2-1_109076_2023-06-23_final
2023-07-25 11:13:29	ga_ls8c_ard_3-2-1_109074_2023-07-25_final
2024-02-29 09:21:05	ga_ls8c_ard_3-2-1_090086_2024-02-28_final
2024-04-03 10:45:38	ga_ls8c_ard_3-2-1_104082_2024-04-03_nrt
2024-04-11 11:31:03	ga_ls8c_ard_3-2-1_112072_2024-04-11_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