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
2013-07-16 10:05:20	ga_ls8c_ard_3-0-0_098068_2013-07-16_final
2013-07-20 09:48:10	ga_ls8c_ard_3-0-0_094087_2013-07-20_final
2013-09-13 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-09-13_final
2013-11-29 09:22:18	ga_ls8c_ard_3-0-0_090085_2013-11-28_final
2014-03-08 11:25:27	ga_ls8c_ard_3-0-0_111071_2014-03-08_final
2014-03-24 11:23:38	ga_ls8c_ard_3-0-0_111067_2014-03-24_final
2014-06-16 09:28:11	ga_ls8c_ard_3-0-0_091089_2014-06-15_final
2014-08-22 09:50:40	ga_ls8c_ard_3-0-0_096067_2014-08-22_final
2015-06-10 09:33:53	ga_ls8c_ard_3-0-0_092089_2015-06-10_final
2015-07-21 09:28:27	ga_ls8c_ard_3-0-0_091090_2015-07-20_final
2015-08-18 09:44:09	ga_ls8c_ard_3-0-0_095067_2015-08-18_final
2015-09-22 11:57:46	ga_ls8c_ard_3-0-0_116076_2015-09-22_final
2015-11-28 09:11:28	ga_ls8c_ard_3-0-0_089077_2015-11-27_final
2015-12-13 11:41:57	ga_ls8c_ard_3-0-0_114067_2015-12-13_final
2015-12-17 09:38:22	ga_ls8c_ard_3-0-0_094067_2015-12-17_final
2016-03-02 10:04:02	ga_ls8c_ard_3-0-0_098070_2016-03-02_final
2016-03-06 09:41:18	ga_ls8c_ard_3-0-0_094075_2016-03-06_final
2016-04-10 10:15:56	ga_ls8c_ard_3-0-0_099085_2016-04-10_final
2016-04-17 11:56:57	ga_ls8c_ard_3-0-0_116075_2016-04-17_final
2016-04-17 11:57:21	ga_ls8c_ard_3-0-0_116076_2016-04-17_final
2016-09-19 09:57:48	ga_ls8c_ard_3-0-0_097069_2016-09-19_final
2016-10-30 09:50:56	ga_ls8c_ard_3-0-0_096067_2016-10-30_final
2016-11-27 11:58:07	ga_ls8c_ard_3-0-0_116076_2016-11-27_final
2017-03-12 10:08:53	ga_ls8c_ard_3-0-0_099067_2017-03-12_final
2017-04-01 11:24:04	ga_ls8c_ard_3-0-0_111070_2017-04-01_final
2017-04-22 11:41:13	ga_ls8c_ard_3-0-0_114067_2017-04-22_final
2017-05-03 09:51:40	ga_ls8c_ard_3-0-0_095087_2017-05-03_final
2017-11-01 09:16:00	ga_ls8c_ard_3-0-0_089088_2017-10-31_final
2018-04-25 11:41:03	ga_ls8c_ard_3-0-0_114067_2018-04-25_final
2018-09-16 11:41:28	ga_ls8c_ard_3-0-0_114067_2018-09-16_final
2018-12-16 08:10:35	ga_ls8c_ard_3-2-1_079080_2018-12-15_final
2019-02-02 09:47:46	ga_ls8c_ard_3-0-0_095076_2019-02-02_final
2019-03-11 11:41:27	ga_ls8c_ard_3-1-0_114067_2019-03-11_final
2019-03-27 11:41:24	ga_ls8c_ard_3-1-0_114067_2019-03-27_final
2019-03-29 09:52:08	ga_ls8c_ard_3-1-0_096072_2019-03-29_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-08-16 11:57:31	ga_ls8c_ard_3-1-0_116075_2019-08-16_final
2019-10-30 09:58:22	ga_ls8c_ard_3-1-0_097070_2019-10-30_final
2019-11-08 09:50:58	ga_ls8c_ard_3-1-0_096067_2019-11-08_final
2020-05-10 09:06:56	ga_ls8c_ard_3-1-0_088083_2020-05-09_final
2020-05-18 09:50:01	ga_ls8c_ard_3-1-0_096067_2020-05-18_final
2020-06-07 09:34:37	ga_ls8c_ard_3-1-0_092090_2020-06-07_final
2020-08-02 10:22:03	ga_ls8c_ard_3-1-0_100084_2020-08-02_final
2021-02-07 11:23:24	ga_ls8c_ard_3-2-0_111067_2021-02-07_final
2021-02-20 10:52:50	ga_ls8c_ard_3-2-0_106068_2021-02-20_final
2021-03-05 10:22:38	ga_ls8c_ard_3-2-0_101070_2021-03-05_final
2021-03-31 09:22:16	ga_ls8c_ard_3-2-0_091074_2021-03-30_final
2021-04-11 09:07:15	ga_ls8c_ard_3-2-0_088083_2021-04-10_final
2021-05-03 11:41:21	ga_ls8c_ard_3-2-0_114067_2021-05-03_final
2021-05-05 11:30:10	ga_ls8c_ard_3-2-0_112070_2021-05-05_final
2021-05-07 11:17:24	ga_ls8c_ard_3-2-0_110069_2021-05-07_final
2021-06-19 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-06-18_final
2021-06-21 09:10:23	ga_ls8c_ard_3-2-0_089075_2021-06-20_final
2021-09-07 09:22:44	ga_ls8c_ard_3-2-0_091074_2021-09-06_final
2021-09-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2021-09-17_final
2021-09-19 11:24:47	ga_ls8c_ard_3-2-0_111070_2021-09-19_final
2021-09-21 09:34:20	ga_ls8c_ard_3-2-0_093072_2021-09-21_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-25 09:22:55	ga_ls8c_ard_3-2-0_091074_2021-10-24_final
2021-11-06 09:46:01	ga_ls8c_ard_3-2-0_095070_2021-11-06_final
2021-12-08 11:24:27	ga_ls8c_ard_3-2-1_111069_2021-12-08_final
2021-12-21 09:17:25	ga_ls8c_ard_3-2-1_090076_2021-12-20_final
2021-12-23 09:07:03	ga_ls8c_ard_3-2-1_088081_2021-12-22_final
2022-01-01 10:39:41	ga_ls8c_ard_3-2-1_103081_2022-01-01_final
2022-01-03 10:23:20	ga_ls8c_ard_3-2-1_101071_2022-01-03_final
2022-02-01 09:52:19	ga_ls8c_ard_3-2-1_096071_2022-02-01_final
2022-08-21 09:46:32	ga_ls8c_ard_3-2-1_095071_2022-08-21_final
2022-12-23 10:10:42	ga_ls8c_ard_3-2-1_099070_2022-12-23_final
2023-01-25 10:59:08	ga_ls8c_ard_3-2-1_106083_2023-01-25_final
2023-07-26 11:58:22	ga_ls8c_ard_3-2-1_116078_2023-07-26_final
2023-11-21 09:41:16	ga_ls8c_ard_3-2-1_094074_2023-11-21_final
2023-12-30 11:24:39	ga_ls8c_ard_3-2-1_111070_2023-12-30_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