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

90 results

Time (local)	Label
2013-07-13 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-07-13_final
2013-08-17 10:08:57	ga_ls8c_ard_3-0-0_098077_2013-08-17_final
2013-10-10 09:33:44	ga_ls8c_ard_3-0-0_092082_2013-10-10_final
2014-01-10 11:32:44	ga_ls8c_ard_3-0-0_112072_2014-01-10_final
2014-02-06 11:13:31	ga_ls8c_ard_3-0-0_109071_2014-02-06_final
2014-03-29 11:44:52	ga_ls8c_ard_3-0-0_114074_2014-03-29_final
2014-05-08 09:17:07	ga_ls8c_ard_3-0-0_090077_2014-05-07_final
2014-07-30 11:24:02	ga_ls8c_ard_3-0-0_111069_2014-07-30_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2014-10-23 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-10-23_final
2014-10-28 10:28:03	ga_ls8c_ard_3-0-0_101083_2014-10-28_final
2014-12-14 11:18:24	ga_ls8c_ard_3-0-0_110070_2014-12-14_final
2015-01-31 11:17:04	ga_ls8c_ard_3-0-0_110067_2015-01-31_final
2015-02-03 10:09:04	ga_ls8c_ard_3-0-0_099067_2015-02-03_final
2015-03-30 10:19:33	ga_ls8c_ard_3-0-0_100079_2015-03-30_final
2015-04-02 10:46:24	ga_ls8c_ard_3-0-0_105069_2015-04-02_final
2015-06-04 10:08:30	ga_ls8c_ard_3-0-0_098083_2015-06-04_final
2015-06-12 09:21:33	ga_ls8c_ard_3-0-0_090089_2015-06-11_final
2015-07-12 09:34:34	ga_ls8c_ard_3-0-0_092090_2015-07-12_final
2015-10-18 10:52:49	ga_ls8c_ard_3-0-0_106068_2015-10-18_final
2015-12-17 09:40:45	ga_ls8c_ard_3-0-0_094073_2015-12-17_final
2016-01-31 10:48:40	ga_ls8c_ard_3-0-0_105073_2016-01-31_final
2016-01-31 10:49:28	ga_ls8c_ard_3-0-0_105075_2016-01-31_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-11-24 09:47:09	ga_ls8c_ard_3-0-0_095073_2016-11-24_final
2016-11-27 10:20:02	ga_ls8c_ard_3-0-0_100078_2016-11-27_final
2016-11-28 09:23:37	ga_ls8c_ard_3-0-0_091076_2016-11-27_final
2016-12-14 09:29:09	ga_ls8c_ard_3-0-0_091090_2016-12-13_final
2017-01-24 09:17:12	ga_ls8c_ard_3-0-0_090076_2017-01-23_final
2017-04-07 09:11:15	ga_ls8c_ard_3-0-0_089078_2017-04-06_final
2017-08-19 10:13:59	ga_ls8c_ard_3-0-0_099079_2017-08-19_final
2017-09-30 10:49:14	ga_ls8c_ard_3-0-0_105074_2017-09-30_final
2017-11-15 09:23:56	ga_ls8c_ard_3-0-0_091077_2017-11-14_final
2017-12-31 09:32:12	ga_ls8c_ard_3-0-0_093067_2017-12-31_final
2018-01-10 10:16:00	ga_ls8c_ard_3-0-0_099084_2018-01-10_final
2018-03-29 10:25:21	ga_ls8c_ard_3-0-0_101078_2018-03-29_final
2018-04-25 11:43:51	ga_ls8c_ard_3-0-0_114074_2018-04-25_final
2018-06-12 10:08:35	ga_ls8c_ard_3-0-0_098084_2018-06-12_final
2018-07-01 10:36:30	ga_ls8c_ard_3-0-0_103076_2018-07-01_final
2018-07-06 09:21:47	ga_ls8c_ard_3-0-0_090090_2018-07-05_final
2018-08-05 11:09:17	ga_ls8c_ard_3-0-0_108080_2018-08-05_final
2018-08-16 10:48:26	ga_ls8c_ard_3-0-0_105074_2018-08-16_final
2018-10-17 10:59:37	ga_ls8c_ard_3-0-0_107070_2018-10-17_final
2019-01-23 09:09:55	ga_ls8c_ard_3-0-0_089074_2019-01-22_final
2019-02-08 10:49:10	ga_ls8c_ard_3-0-0_105075_2019-02-08_final
2019-03-19 09:20:41	ga_ls8c_ard_3-1-0_090086_2019-03-18_final
2019-05-27 11:17:24	ga_ls8c_ard_3-0-0_109084_2019-05-27_final
2019-06-10 11:25:29	ga_ls8c_ard_3-0-0_111073_2019-06-10_final
2019-08-17 09:28:13	ga_ls8c_ard_3-1-0_091088_2019-08-16_final
2019-09-03 11:47:37	ga_ls8c_ard_3-1-0_114081_2019-09-03_final
2019-09-04 09:10:20	ga_ls8c_ard_3-1-0_089074_2019-09-03_final
2019-09-07 11:20:31	ga_ls8c_ard_3-1-0_110075_2019-09-07_final
2019-09-27 10:53:08	ga_ls8c_ard_3-1-0_106068_2019-09-27_final
2019-11-07 09:14:29	ga_ls8c_ard_3-1-0_089084_2019-11-06_final
2019-12-31 10:09:45	ga_ls8c_ard_3-1-0_099068_2019-12-31_final
2020-02-16 09:25:54	ga_ls8c_ard_3-1-0_092067_2020-02-15_final
2020-03-24 11:24:16	ga_ls8c_ard_3-1-0_111070_2020-03-24_final
2020-03-28 11:01:54	ga_ls8c_ard_3-1-0_107076_2020-03-28_final
2020-04-02 11:18:23	ga_ls8c_ard_3-1-0_110071_2020-04-02_final
2020-04-30 10:06:49	ga_ls8c_ard_3-1-0_098078_2020-04-30_final
2020-05-09 09:56:33	ga_ls8c_ard_3-1-0_097068_2020-05-09_final
2020-08-12 09:20:16	ga_ls8c_ard_3-1-0_090084_2020-08-11_final
2020-08-31 11:24:14	ga_ls8c_ard_3-1-0_111069_2020-08-31_final
2020-10-08 09:12:03	ga_ls8c_ard_3-1-0_089078_2020-10-07_final
2020-12-07 09:38:47	ga_ls8c_ard_3-1-0_093083_2020-12-07_final
2021-02-07 09:52:30	ga_ls8c_ard_3-2-0_095087_2021-02-07_final
2021-02-17 10:23:57	ga_ls8c_ard_3-2-0_101073_2021-02-17_final
2021-03-03 10:34:13	ga_ls8c_ard_3-2-0_103068_2021-03-03_final
2021-04-05 11:19:40	ga_ls8c_ard_3-2-0_110074_2021-04-05_final
2021-05-08 10:26:35	ga_ls8c_ard_3-2-0_101081_2021-05-08_final
2021-06-04 11:47:11	ga_ls8c_ard_3-2-0_114081_2021-06-04_final
2021-06-07 10:34:02	ga_ls8c_ard_3-2-0_103068_2021-06-07_final
2021-10-03 09:58:20	ga_ls8c_ard_3-2-0_097070_2021-10-03_final
2021-10-18 10:56:01	ga_ls8c_ard_3-2-0_106075_2021-10-18_final
2022-01-24 10:40:36	ga_ls8c_ard_3-2-1_104068_2022-01-24_final
2022-02-03 11:18:27	ga_ls8c_ard_3-2-1_110070_2022-02-03_final
2022-04-12 10:57:48	ga_ls8c_ard_3-2-1_106081_2022-04-12_final
2022-04-15 09:52:14	ga_ls8c_ard_3-2-1_095087_2022-04-15_final
2022-04-21 10:48:49	ga_ls8c_ard_3-2-1_105074_2022-04-21_final
2022-12-15 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-12-14_final
2023-01-12 09:52:45	ga_ls8c_ard_3-2-1_095087_2023-01-12_final
2023-03-24 09:58:00	ga_ls8c_ard_3-2-1_096086_2023-03-24_final
2023-03-31 10:03:20	ga_ls8c_ard_3-2-1_097084_2023-03-31_final
2023-04-08 09:10:57	ga_ls8c_ard_3-2-1_089077_2023-04-07_final
2023-10-03 10:35:58	ga_ls8c_ard_3-2-1_103072_2023-10-03_final
2023-12-10 10:09:39	ga_ls8c_ard_3-2-1_099068_2023-12-10_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2024-01-22 11:31:32	ga_ls8c_ard_3-2-1_112072_2024-01-22_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_final
2024-04-10 09:15:42	ga_ls8c_ard_3-2-1_089089_2024-04-09_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