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

First 100 results (query limit)

Time (local)	Label
2013-05-20 10:15:08	ga_ls8c_ard_3-0-0_099077_2013-05-20_final
2013-11-12 10:11:15	ga_ls8c_ard_3-0-0_099068_2013-11-12_final
2013-12-05 10:20:55	ga_ls8c_ard_3-0-0_100077_2013-12-05_final
2014-02-04 11:24:19	ga_ls8c_ard_3-0-0_111067_2014-02-04_final
2014-02-15 09:29:30	ga_ls8c_ard_3-0-0_092074_2014-02-14_final
2014-02-22 11:12:30	ga_ls8c_ard_3-0-0_109069_2014-02-22_final
2014-04-16 11:31:49	ga_ls8c_ard_3-0-0_112073_2014-04-16_final
2014-05-20 11:16:38	ga_ls8c_ard_3-0-0_110067_2014-05-20_final
2014-05-30 10:21:16	ga_ls8c_ard_3-0-0_100083_2014-05-30_final
2014-07-05 11:29:41	ga_ls8c_ard_3-0-0_112068_2014-07-05_final
2014-09-02 11:11:50	ga_ls8c_ard_3-0-0_109069_2014-09-02_final
2014-12-09 09:23:00	ga_ls8c_ard_3-0-0_091075_2014-12-08_final
2014-12-25 09:21:47	ga_ls8c_ard_3-0-0_091072_2014-12-24_final
2014-12-25 09:22:11	ga_ls8c_ard_3-0-0_091073_2014-12-24_final
2015-01-22 09:47:10	ga_ls8c_ard_3-0-0_095074_2015-01-22_final
2015-02-09 11:11:37	ga_ls8c_ard_3-0-0_109069_2015-02-09_final
2015-02-20 09:17:19	ga_ls8c_ard_3-0-0_090077_2015-02-19_final
2015-06-25 10:26:48	ga_ls8c_ard_3-0-0_101082_2015-06-25_final
2015-07-21 09:19:40	ga_ls8c_ard_3-0-0_091068_2015-07-20_final
2015-08-31 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-08-30_final
2015-12-05 10:53:43	ga_ls8c_ard_3-0-0_106070_2015-12-05_final
2016-03-19 09:09:55	ga_ls8c_ard_3-0-0_089074_2016-03-18_final
2016-03-26 09:16:49	ga_ls8c_ard_3-0-0_090076_2016-03-25_final
2016-06-28 09:28:29	ga_ls8c_ard_3-0-0_092074_2016-06-27_final
2016-08-06 11:14:09	ga_ls8c_ard_3-0-0_109075_2016-08-06_final
2016-08-13 09:45:51	ga_ls8c_ard_3-0-0_094086_2016-08-13_final
2016-09-18 10:52:38	ga_ls8c_ard_3-0-0_106067_2016-09-18_final
2016-10-22 10:40:47	ga_ls8c_ard_3-0-0_104068_2016-10-22_final
2016-11-11 10:20:01	ga_ls8c_ard_3-0-0_100078_2016-11-11_final
2017-01-22 09:27:59	ga_ls8c_ard_3-0-0_092072_2017-01-21_final
2017-04-01 11:24:04	ga_ls8c_ard_3-0-0_111070_2017-04-01_final
2017-10-22 10:13:49	ga_ls8c_ard_3-0-0_099078_2017-10-22_final
2018-01-20 09:10:32	ga_ls8c_ard_3-0-0_089075_2018-01-19_final
2018-01-21 09:50:35	ga_ls8c_ard_3-0-0_096067_2018-01-21_final
2018-02-01 09:33:31	ga_ls8c_ard_3-0-0_093071_2018-02-01_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-03-06 10:18:57	ga_ls8c_ard_3-0-0_100077_2018-03-06_final
2018-03-23 09:22:24	ga_ls8c_ard_3-0-0_091075_2018-03-22_final
2018-05-08 11:12:49	ga_ls8c_ard_3-0-0_109074_2018-05-08_final
2018-06-16 09:39:07	ga_ls8c_ard_3-0-0_094072_2018-06-16_final
2018-08-28 09:31:35	ga_ls8c_ard_3-0-0_093067_2018-08-28_final
2018-09-07 10:12:42	ga_ls8c_ard_3-0-0_099077_2018-09-07_final
2018-10-20 09:51:15	ga_ls8c_ard_3-0-0_096069_2018-10-20_final
2018-10-24 09:28:33	ga_ls8c_ard_3-0-0_092074_2018-10-23_final
2018-11-05 11:30:36	ga_ls8c_ard_3-0-0_112070_2018-11-05_final
2018-11-11 09:17:02	ga_ls8c_ard_3-0-0_090076_2018-11-10_final
2018-12-22 09:11:12	ga_ls8c_ard_3-0-0_089077_2018-12-21_final
2019-01-29 10:09:18	ga_ls8c_ard_3-0-0_099068_2019-01-29_final
2019-02-02 11:23:28	ga_ls8c_ard_3-0-0_111068_2019-02-02_final
2019-02-13 09:28:24	ga_ls8c_ard_3-1-0_092074_2019-02-12_final
2019-03-08 09:34:05	ga_ls8c_ard_3-1-0_093073_2019-03-08_final
2019-04-09 09:33:09	ga_ls8c_ard_3-1-0_093071_2019-04-09_final
2019-04-20 09:16:55	ga_ls8c_ard_3-0-0_090077_2019-04-19_final
2019-05-04 09:28:06	ga_ls8c_ard_3-0-0_092074_2019-05-03_final
2019-05-05 10:13:22	ga_ls8c_ard_3-0-0_099079_2019-05-05_final
2019-07-09 10:52:19	ga_ls8c_ard_3-1-0_106067_2019-07-09_final
2019-07-15 10:21:14	ga_ls8c_ard_3-1-0_100082_2019-07-15_final
2019-10-27 09:28:15	ga_ls8c_ard_3-1-0_092072_2019-10-26_final
2019-11-12 09:29:01	ga_ls8c_ard_3-1-0_092074_2019-11-11_final
2019-11-30 09:17:25	ga_ls8c_ard_3-1-0_090076_2019-11-29_final
2019-12-11 10:39:45	ga_ls8c_ard_3-1-0_103081_2019-12-11_final
2019-12-30 11:06:59	ga_ls8c_ard_3-1-0_108072_2019-12-30_final
2020-01-10 09:11:55	ga_ls8c_ard_3-1-0_089078_2020-01-09_final
2020-02-27 09:10:30	ga_ls8c_ard_3-1-0_089075_2020-02-26_final
2020-03-30 09:11:50	ga_ls8c_ard_3-1-0_089079_2020-03-29_final
2020-04-02 11:19:59	ga_ls8c_ard_3-1-0_110075_2020-04-02_final
2020-05-27 11:24:45	ga_ls8c_ard_3-1-0_111072_2020-05-27_final
2020-08-01 11:14:04	ga_ls8c_ard_3-1-0_109075_2020-08-01_final
2020-09-22 09:12:24	ga_ls8c_ard_3-1-0_089079_2020-09-21_final
2021-01-18 10:10:52	ga_ls8c_ard_3-2-0_099071_2021-01-18_final
2021-01-18 11:52:33	ga_ls8c_ard_3-2-0_115078_2021-01-18_final
2021-01-21 09:06:29	ga_ls8c_ard_3-2-0_088080_2021-01-20_final
2021-02-05 09:58:29	ga_ls8c_ard_3-2-0_097071_2021-02-05_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-05-11 10:57:55	ga_ls8c_ard_3-2-0_106082_2021-05-11_final
2021-05-27 09:16:24	ga_ls8c_ard_3-2-0_090075_2021-05-26_final
2021-06-19 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-06-18_final
2021-06-24 09:38:06	ga_ls8c_ard_3-2-0_094067_2021-06-24_final
2021-08-05 10:19:47	ga_ls8c_ard_3-2-0_100078_2021-08-05_final
2021-09-12 09:40:30	ga_ls8c_ard_3-2-0_094072_2021-09-12_final
2021-09-15 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-09-15_final
2021-11-20 11:37:59	ga_ls8c_ard_3-2-0_113072_2021-11-20_final
2022-01-24 09:06:30	ga_ls8c_ard_3-2-1_088080_2022-01-23_final
2022-01-29 09:26:13	ga_ls8c_ard_3-2-1_091083_2022-01-28_final
2022-02-12 09:34:32	ga_ls8c_ard_3-2-1_093073_2022-02-12_final
2022-03-10 10:09:54	ga_ls8c_ard_3-2-1_099069_2022-03-10_final
2022-04-19 09:23:30	ga_ls8c_ard_3-2-1_091077_2022-04-18_final
2022-05-01 11:23:53	ga_ls8c_ard_3-2-1_111069_2022-05-01_final
2022-10-30 10:52:50	ga_ls8c_ard_3-2-1_105082_2022-10-30_final
2022-11-27 11:12:17	ga_ls8c_ard_3-2-1_109069_2022-11-27_final
2023-01-24 10:10:41	ga_ls8c_ard_3-2-1_099070_2023-01-24_final
2023-01-31 11:58:10	ga_ls8c_ard_3-2-1_116076_2023-01-31_final
2023-04-29 09:27:21	ga_ls8c_ard_3-2-1_092072_2023-04-28_final
2023-08-03 09:28:31	ga_ls8c_ard_3-2-1_092074_2023-08-02_final
2023-09-21 10:10:48	ga_ls8c_ard_3-2-1_099071_2023-09-21_final
2023-10-06 09:27:58	ga_ls8c_ard_3-2-1_092072_2023-10-05_final
2023-10-15 09:22:15	ga_ls8c_ard_3-2-1_091073_2023-10-14_final
2023-11-30 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-11-30_final
2024-01-27 10:13:31	ga_ls8c_ard_3-2-1_099078_2024-01-27_final
2024-02-20 09:22:09	ga_ls8c_ard_3-2-1_091073_2024-02-19_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