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

79 results

Time (local)	Label
2013-11-16 09:54:05	ga_ls8c_ard_3-0-0_095087_2013-11-16_final
2013-12-03 10:35:17	ga_ls8c_ard_3-0-0_102082_2013-12-03_final
2013-12-29 09:30:05	ga_ls8c_ard_3-0-0_092074_2013-12-29_final
2014-03-15 11:36:46	ga_ls8c_ard_3-0-0_112084_2014-03-15_final
2015-03-17 09:09:43	ga_ls8c_ard_3-0-0_089074_2015-03-16_final
2015-03-29 11:11:12	ga_ls8c_ard_3-0-0_109069_2015-03-29_final
2015-09-23 09:22:52	ga_ls8c_ard_3-0-0_091075_2015-09-22_final
2015-09-25 09:13:18	ga_ls8c_ard_3-0-0_089082_2015-09-24_final
2016-02-22 10:10:13	ga_ls8c_ard_3-0-0_099070_2016-02-22_final
2016-03-20 11:30:27	ga_ls8c_ard_3-0-0_112070_2016-03-20_final
2016-04-21 11:29:49	ga_ls8c_ard_3-0-0_112069_2016-04-21_final
2016-05-27 11:07:35	ga_ls8c_ard_3-0-0_108075_2016-05-27_final
2016-06-14 09:16:48	ga_ls8c_ard_3-0-0_090076_2016-06-13_final
2016-08-31 09:28:02	ga_ls8c_ard_3-0-0_092072_2016-08-30_final
2016-09-10 10:09:57	ga_ls8c_ard_3-0-0_098084_2016-09-10_final
2017-01-08 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-01-08_final
2017-01-09 09:57:21	ga_ls8c_ard_3-0-0_097068_2017-01-09_final
2017-03-11 09:27:38	ga_ls8c_ard_3-0-0_092072_2017-03-10_final
2017-03-28 10:09:56	ga_ls8c_ard_3-0-0_099070_2017-03-28_final
2017-05-28 11:16:41	ga_ls8c_ard_3-0-0_110067_2017-05-28_final
2017-07-26 09:28:47	ga_ls8c_ard_3-0-0_091090_2017-07-25_final
2017-09-03 09:28:46	ga_ls8c_ard_3-0-0_092074_2017-09-02_final
2017-09-12 09:21:47	ga_ls8c_ard_3-0-0_091072_2017-09-11_final
2017-11-06 09:28:57	ga_ls8c_ard_3-0-0_092074_2017-11-05_final
2017-12-25 11:52:59	ga_ls8c_ard_3-0-0_115079_2017-12-25_final
2017-12-26 10:53:46	ga_ls8c_ard_3-0-0_106070_2017-12-26_final
2018-02-08 11:16:57	ga_ls8c_ard_3-0-0_110067_2018-02-08_final
2018-04-06 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-04-06_final
2018-05-23 10:26:59	ga_ls8c_ard_3-0-0_102068_2018-05-23_final
2018-06-09 11:12:56	ga_ls8c_ard_3-0-0_109075_2018-06-09_final
2018-06-11 09:27:19	ga_ls8c_ard_3-0-0_091089_2018-06-10_final
2018-08-30 09:21:37	ga_ls8c_ard_3-0-0_091073_2018-08-29_final
2018-11-25 09:25:48	ga_ls8c_ard_3-0-0_092067_2018-11-24_final
2018-12-25 11:17:47	ga_ls8c_ard_3-0-0_110069_2018-12-25_final
2019-01-08 09:50:27	ga_ls8c_ard_3-0-0_096067_2019-01-08_final
2019-03-11 10:09:21	ga_ls8c_ard_3-1-0_098084_2019-03-11_final
2019-03-22 11:22:52	ga_ls8c_ard_3-1-0_111067_2019-03-22_final
2019-03-23 10:28:03	ga_ls8c_ard_3-1-0_102069_2019-03-23_final
2019-04-04 10:55:07	ga_ls8c_ard_3-1-0_106075_2019-04-04_final
2019-06-23 09:22:33	ga_ls8c_ard_3-1-0_090090_2019-06-22_final
2019-07-18 10:48:57	ga_ls8c_ard_3-1-0_105074_2019-07-18_final
2019-08-19 09:10:40	ga_ls8c_ard_3-1-0_089075_2019-08-18_final
2019-09-05 11:30:53	ga_ls8c_ard_3-1-0_112070_2019-09-05_final
2019-10-21 10:02:57	ga_ls8c_ard_3-2-1_098066_2019-10-21_final
2019-11-05 09:22:28	ga_ls8c_ard_3-1-0_091073_2019-11-04_final
2019-12-07 11:05:16	ga_ls8c_ard_3-1-0_107083_2019-12-07_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-02-27 09:16:05	ga_ls8c_ard_3-1-0_089089_2020-02-26_final
2020-03-06 11:35:35	ga_ls8c_ard_3-1-0_113067_2020-03-06_final
2020-03-10 09:34:20	ga_ls8c_ard_3-1-0_093073_2020-03-10_final
2020-06-18 10:49:04	ga_ls8c_ard_3-1-0_105075_2020-06-18_final
2021-04-18 09:10:11	ga_ls8c_ard_3-2-0_089075_2021-04-17_final
2021-06-06 09:50:22	ga_ls8c_ard_3-2-0_096067_2021-06-06_final
2021-07-11 10:27:23	ga_ls8c_ard_3-2-0_101082_2021-07-11_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-10-17 10:11:09	ga_ls8c_ard_3-2-0_099071_2021-10-17_final
2021-12-04 11:53:10	ga_ls8c_ard_3-2-0_115079_2021-12-04_final
2022-03-11 10:55:33	ga_ls8c_ard_3-2-1_106075_2022-03-11_final
2022-06-01 09:07:31	ga_ls8c_ard_3-2-1_088083_2022-05-31_final
2022-09-13 11:32:05	ga_ls8c_ard_3-2-1_112072_2022-09-13_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-11-20 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-11-19_final
2022-11-25 11:25:02	ga_ls8c_ard_3-2-1_111070_2022-11-25_final
2022-12-08 09:17:15	ga_ls8c_ard_3-2-1_090075_2022-12-07_final
2023-01-23 09:28:12	ga_ls8c_ard_3-2-1_092072_2023-01-22_final
2023-02-09 10:10:16	ga_ls8c_ard_3-2-1_099069_2023-02-09_final
2023-02-25 10:09:11	ga_ls8c_ard_3-2-1_099067_2023-02-25_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-03-21 09:21:34	ga_ls8c_ard_3-2-1_091072_2023-03-20_final
2023-04-09 11:31:04	ga_ls8c_ard_3-2-1_112072_2023-04-09_final
2023-05-01 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-05-01_final
2023-05-09 10:09:05	ga_ls8c_ard_3-2-1_098084_2023-05-09_final
2023-07-23 11:24:37	ga_ls8c_ard_3-2-1_111071_2023-07-23_final
2023-08-05 09:21:45	ga_ls8c_ard_3-2-1_090088_2023-08-04_final
2023-09-16 11:31:32	ga_ls8c_ard_3-2-1_112072_2023-09-16_final
2023-09-30 11:47:33	ga_ls8c_ard_3-2-1_114081_2023-09-30_final
2024-01-10 11:06:04	ga_ls8c_ard_3-2-1_108070_2024-01-10_final
2024-01-10 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-01-10_final
2024-02-06 10:49:54	ga_ls8c_ard_3-2-1_105076_2024-02-06_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