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

87 results

Time (local)	Label
2013-06-09 11:26:31	ga_ls8c_ard_3-0-0_111070_2013-06-09_final
2013-07-15 09:26:51	ga_ls8c_ard_3-0-0_091080_2013-07-14_final
2014-02-02 11:40:42	ga_ls8c_ard_3-0-0_113077_2014-02-02_final
2014-04-18 11:23:49	ga_ls8c_ard_3-0-0_110084_2014-04-18_final
2014-05-20 09:42:56	ga_ls8c_ard_3-0-0_094080_2014-05-20_final
2014-06-18 09:13:49	ga_ls8c_ard_3-0-0_089084_2014-06-17_final
2014-06-19 11:31:59	ga_ls8c_ard_3-0-0_112074_2014-06-19_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-10-08 09:12:19	ga_ls8c_ard_3-0-0_089079_2014-10-07_final
2015-05-02 09:26:05	ga_ls8c_ard_3-0-0_091085_2015-05-01_final
2015-06-24 09:45:08	ga_ls8c_ard_3-0-0_094086_2015-06-24_final
2015-11-24 09:40:11	ga_ls8c_ard_3-0-0_093087_2015-11-24_final
2015-11-26 11:01:55	ga_ls8c_ard_3-0-0_107075_2015-11-26_final
2016-03-14 10:29:54	ga_ls8c_ard_3-0-0_102073_2016-03-14_final
2016-03-17 11:04:22	ga_ls8c_ard_3-1-0_107082_2016-03-17_final
2016-06-14 09:21:11	ga_ls8c_ard_3-0-0_090087_2016-06-13_final
2016-08-02 09:58:23	ga_ls8c_ard_3-0-0_097071_2016-08-02_final
2016-08-28 10:40:00	ga_ls8c_ard_3-0-0_103082_2016-08-28_final
2016-11-22 09:58:18	ga_ls8c_ard_3-1-0_097070_2016-11-22_final
2016-11-24 09:52:20	ga_ls8c_ard_3-0-0_095086_2016-11-24_final
2017-01-01 09:11:57	ga_ls8c_ard_3-0-0_089078_2016-12-31_final
2017-01-08 10:58:58	ga_ls8c_ard_3-0-0_106083_2017-01-08_final
2017-07-18 11:51:03	ga_ls8c_ard_3-0-0_115075_2017-07-18_final
2017-08-19 10:10:47	ga_ls8c_ard_3-0-0_099071_2017-08-19_final
2017-11-04 09:46:30	ga_ls8c_ard_3-0-0_094087_2017-11-04_final
2017-11-20 09:41:38	ga_ls8c_ard_3-0-0_094075_2017-11-20_final
2017-12-16 10:19:05	ga_ls8c_ard_3-0-0_100076_2017-12-16_final
2017-12-22 11:18:07	ga_ls8c_ard_3-0-0_110069_2017-12-22_final
2018-01-22 10:36:14	ga_ls8c_ard_3-0-0_103073_2018-01-22_final
2018-02-04 10:06:48	ga_ls8c_ard_3-0-0_098077_2018-02-04_final
2018-02-28 10:58:05	ga_ls8c_ard_3-0-0_106082_2018-02-28_final
2018-04-08 09:21:28	ga_ls8c_ard_3-0-0_091073_2018-04-07_final
2018-04-19 09:06:48	ga_ls8c_ard_3-0-0_088083_2018-04-18_final
2018-04-29 11:19:05	ga_ls8c_ard_3-0-0_110074_2018-04-29_final
2018-06-17 10:24:23	ga_ls8c_ard_3-0-0_101077_2018-06-17_final
2018-08-05 11:09:40	ga_ls8c_ard_3-0-0_108081_2018-08-05_final
2018-09-01 10:48:57	ga_ls8c_ard_3-0-0_105075_2018-09-01_final
2018-09-06 09:33:26	ga_ls8c_ard_3-0-0_092087_2018-09-06_final
2018-10-27 09:57:04	ga_ls8c_ard_3-0-0_097068_2018-10-27_final
2018-11-18 09:28:00	ga_ls8c_ard_3-0-0_091088_2018-11-17_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2019-03-22 09:51:10	ga_ls8c_ard_3-1-0_095085_2019-03-22_final
2019-03-24 09:38:00	ga_ls8c_ard_3-1-0_093083_2019-03-24_final
2019-04-12 10:03:14	ga_ls8c_ard_3-1-0_098069_2019-04-12_final
2019-04-18 11:09:47	ga_ls8c_ard_3-1-0_108081_2019-04-18_final
2019-04-19 10:08:58	ga_ls8c_ard_3-1-0_099068_2019-04-19_final
2019-04-26 10:21:05	ga_ls8c_ard_3-0-0_100083_2019-04-26_final
2019-05-20 09:28:17	ga_ls8c_ard_3-1-0_092074_2019-05-19_final
2019-06-03 11:20:03	ga_ls8c_ard_3-0-0_110075_2019-06-03_final
2019-07-16 09:24:25	ga_ls8c_ard_3-1-0_091079_2019-07-15_final
2019-09-02 09:27:52	ga_ls8c_ard_3-1-0_091087_2019-09-01_final
2019-11-13 10:09:53	ga_ls8c_ard_3-1-0_099068_2019-11-13_final
2019-12-30 11:08:10	ga_ls8c_ard_3-1-0_108075_2019-12-30_final
2020-01-06 09:35:27	ga_ls8c_ard_3-1-0_093075_2020-01-06_final
2020-01-15 11:10:55	ga_ls8c_ard_3-1-0_108082_2020-01-15_final
2020-01-20 09:51:21	ga_ls8c_ard_3-1-0_095084_2020-01-20_final
2020-07-11 10:55:02	ga_ls8c_ard_3-1-0_106074_2020-07-11_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-09-18 11:17:35	ga_ls8c_ard_3-1-0_109083_2020-09-18_final
2020-10-11 09:45:45	ga_ls8c_ard_3-1-0_094085_2020-10-11_final
2020-10-18 11:24:02	ga_ls8c_ard_3-1-0_111068_2020-10-18_final
2020-11-19 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-11-19_final
2020-11-25 09:14:51	ga_ls8c_ard_3-1-0_089085_2020-11-24_final
2021-01-06 11:30:19	ga_ls8c_ard_3-2-0_111084_2021-01-06_final
2021-01-20 09:58:54	ga_ls8c_ard_3-2-0_097072_2021-01-20_final
2021-02-03 10:14:02	ga_ls8c_ard_3-2-0_099079_2021-02-03_final
2021-02-16 11:23:58	ga_ls8c_ard_3-2-0_110084_2021-02-16_final
2021-05-03 10:02:04	ga_ls8c_ard_3-2-1_098066_2021-05-03_final
2021-05-08 10:22:35	ga_ls8c_ard_3-2-0_101071_2021-05-08_final
2021-05-11 10:52:20	ga_ls8c_ard_3-2-0_106068_2021-05-11_final
2021-06-11 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-06-11_final
2021-10-13 10:36:16	ga_ls8c_ard_3-2-0_103072_2021-10-13_final
2021-10-27 09:11:45	ga_ls8c_ard_3-2-0_089077_2021-10-26_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2022-01-09 11:29:07	ga_ls8c_ard_3-2-1_111081_2022-01-09_final
2022-10-15 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-10-15_final
2022-10-22 11:42:14	ga_ls8c_ard_3-2-1_113082_2022-10-22_final
2022-11-29 09:27:02	ga_ls8c_ard_3-2-1_091084_2022-11-28_final
2022-12-24 09:21:28	ga_ls8c_ard_3-2-1_090086_2022-12-23_final
2023-01-09 10:53:35	ga_ls8c_ard_3-2-1_106069_2023-01-09_final
2023-03-10 09:41:00	ga_ls8c_ard_3-2-1_094074_2023-03-10_final
2023-04-09 11:31:04	ga_ls8c_ard_3-2-1_112072_2023-04-09_final
2023-11-12 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-11-12_final
2023-11-14 09:35:25	ga_ls8c_ard_3-2-1_093075_2023-11-14_final
2023-12-27 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-12-27_final
2024-02-29 09:16:41	ga_ls8c_ard_3-2-1_090075_2024-02-28_final
2024-03-07 09:21:33	ga_ls8c_ard_3-2-1_091072_2024-03-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years