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
2013-04-22 11:31:04	ga_ls8c_ard_3-0-0_111082_2013-04-22_final
2013-08-14 11:16:32	ga_ls8c_ard_3-0-0_109076_2013-08-14_final
2013-08-30 11:16:34	ga_ls8c_ard_3-0-0_109076_2013-08-30_final
2014-03-10 11:14:41	ga_ls8c_ard_3-1-0_109075_2014-03-10_final
2015-01-31 11:19:51	ga_ls8c_ard_3-0-0_110074_2015-01-31_final
2015-02-26 11:57:11	ga_ls8c_ard_3-0-0_116075_2015-02-26_final
2015-03-11 09:46:26	ga_ls8c_ard_3-0-0_095073_2015-03-11_final
2015-04-30 11:13:46	ga_ls8c_ard_3-0-0_109076_2015-04-30_final
2015-06-08 11:19:31	ga_ls8c_ard_3-0-0_110075_2015-06-08_final
2015-08-27 09:39:37	ga_ls8c_ard_3-0-0_094071_2015-08-27_final
2015-09-19 09:51:57	ga_ls8c_ard_3-0-0_095086_2015-09-19_final
2016-02-09 09:07:08	ga_ls8c_ard_3-0-0_088082_2016-02-08_final
2016-02-19 09:45:42	ga_ls8c_ard_3-0-0_094086_2016-02-19_final
2016-02-24 11:35:33	ga_ls8c_ard_3-0-0_113067_2016-02-24_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2016-04-23 09:37:45	ga_ls8c_ard_3-0-0_094067_2016-04-23_final
2016-05-25 11:16:44	ga_ls8c_ard_3-0-0_110067_2016-05-25_final
2016-06-01 11:23:45	ga_ls8c_ard_3-0-0_111069_2016-06-01_final
2016-06-10 09:45:06	ga_ls8c_ard_3-0-0_094085_2016-06-10_final
2016-09-28 11:30:54	ga_ls8c_ard_3-0-0_112070_2016-09-28_final
2016-09-30 11:20:08	ga_ls8c_ard_3-0-0_110074_2016-09-30_final
2016-10-12 11:42:09	ga_ls8c_ard_3-0-0_114067_2016-10-12_final
2016-12-03 09:40:09	ga_ls8c_ard_3-0-0_094071_2016-12-03_final
2016-12-28 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-12-28_final
2017-02-12 11:23:39	ga_ls8c_ard_3-0-0_111068_2017-02-12_final
2017-04-17 11:22:44	ga_ls8c_ard_3-0-0_111067_2017-04-17_final
2017-05-03 11:23:46	ga_ls8c_ard_3-0-0_111070_2017-05-03_final
2017-08-09 11:13:44	ga_ls8c_ard_3-0-0_109074_2017-08-09_final
2017-10-12 11:14:00	ga_ls8c_ard_3-0-0_109074_2017-10-12_final
2018-04-06 11:13:56	ga_ls8c_ard_3-0-0_109076_2018-04-06_final
2018-04-13 11:17:15	ga_ls8c_ard_3-0-0_110069_2018-04-13_final
2018-05-06 11:23:12	ga_ls8c_ard_3-0-0_111069_2018-05-06_final
2018-06-07 11:22:53	ga_ls8c_ard_3-0-0_111069_2018-06-07_final
2018-10-04 11:31:38	ga_ls8c_ard_3-0-0_112073_2018-10-04_final
2019-05-02 11:19:20	ga_ls8c_ard_3-0-0_110074_2019-05-02_final
2019-05-11 11:14:03	ga_ls8c_ard_3-0-0_109076_2019-05-11_final
2019-09-21 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-09-21_final
2019-10-18 11:14:07	ga_ls8c_ard_3-1-0_109074_2019-10-18_final
2020-03-15 11:31:44	ga_ls8c_ard_3-1-0_112073_2020-03-15_final
2020-03-24 11:23:52	ga_ls8c_ard_3-1-0_111069_2020-03-24_final
2020-04-02 11:22:47	ga_ls8c_ard_3-1-0_110082_2020-04-02_final
2020-05-07 11:52:12	ga_ls8c_ard_3-1-0_115079_2020-05-07_final
2020-05-11 11:26:17	ga_ls8c_ard_3-1-0_111076_2020-05-11_final
2020-06-05 11:23:26	ga_ls8c_ard_3-1-0_110084_2020-06-05_final
2020-06-21 11:19:36	ga_ls8c_ard_3-1-0_110074_2020-06-21_final
2020-06-30 11:13:54	ga_ls8c_ard_3-1-0_109075_2020-06-30_final
2020-08-22 11:30:45	ga_ls8c_ard_3-1-0_112070_2020-08-22_final
2020-10-18 09:44:45	ga_ls8c_ard_3-1-0_095067_2020-10-18_final
2021-05-11 09:20:14	ga_ls8c_ard_3-2-0_090085_2021-05-10_final
2021-06-13 09:56:36	ga_ls8c_ard_3-2-0_097067_2021-06-13_final
2021-06-18 10:21:33	ga_ls8c_ard_3-2-0_100083_2021-06-18_final
2021-07-07 09:15:37	ga_ls8c_ard_3-2-0_089088_2021-07-06_final
2021-07-12 11:11:03	ga_ls8c_ard_3-2-0_108083_2021-07-12_final
2021-07-25 10:39:26	ga_ls8c_ard_3-2-0_103081_2021-07-25_final
2021-08-20 11:14:41	ga_ls8c_ard_3-2-0_109076_2021-08-20_final
2021-09-06 11:58:02	ga_ls8c_ard_3-2-0_116076_2021-09-06_final
2021-09-13 10:27:45	ga_ls8c_ard_3-2-0_101082_2021-09-13_final
2021-10-08 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-10-08_final
2021-10-08 11:58:11	ga_ls8c_ard_3-2-0_116076_2021-10-08_final
2021-10-12 11:31:05	ga_ls8c_ard_3-2-0_112070_2021-10-12_final
2021-10-17 10:11:09	ga_ls8c_ard_3-2-0_099071_2021-10-17_final
2021-11-04 09:57:35	ga_ls8c_ard_3-2-0_097068_2021-11-04_final
2021-11-09 10:19:41	ga_ls8c_ard_3-2-0_100077_2021-11-09_final
2021-11-19 09:22:13	ga_ls8c_ard_3-2-0_090088_2021-11-18_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-03-12 09:57:56	ga_ls8c_ard_3-2-1_097070_2022-03-12_final
2022-03-28 09:57:44	ga_ls8c_ard_3-2-1_097070_2022-03-28_final
2022-04-09 10:27:17	ga_ls8c_ard_3-2-1_101082_2022-04-09_final
2022-04-18 10:19:08	ga_ls8c_ard_3-2-1_100077_2022-04-18_final
2022-04-27 10:09:18	ga_ls8c_ard_3-2-1_099068_2022-04-27_final
2022-09-08 11:14:42	ga_ls8c_ard_3-2-1_109075_2022-09-08_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-10-03 09:34:52	ga_ls8c_ard_3-2-1_092088_2022-10-03_final
2022-10-17 09:40:22	ga_ls8c_ard_3-2-1_094071_2022-10-17_final
2022-11-09 11:26:42	ga_ls8c_ard_3-2-1_111074_2022-11-09_final
2022-11-26 10:34:13	ga_ls8c_ard_3-2-1_102082_2022-11-26_final
2023-01-18 09:12:47	ga_ls8c_ard_3-2-1_089080_2023-01-17_final
2023-02-24 11:06:01	ga_ls8c_ard_3-2-1_108070_2023-02-24_final
2023-03-13 10:16:17	ga_ls8c_ard_3-2-1_099085_2023-03-13_final
2023-03-24 11:31:18	ga_ls8c_ard_3-2-1_112072_2023-03-24_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-04-08 09:10:57	ga_ls8c_ard_3-2-1_089077_2023-04-07_final
2023-04-14 10:09:53	ga_ls8c_ard_3-2-1_099070_2023-04-14_final
2023-04-20 11:14:02	ga_ls8c_ard_3-2-1_109076_2023-04-20_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-07-04 10:58:25	ga_ls8c_ard_3-2-1_106083_2023-07-04_final
2023-07-05 10:01:13	ga_ls8c_ard_3-2-1_097079_2023-07-05_final
2023-07-25 11:14:17	ga_ls8c_ard_3-2-1_109076_2023-07-25_final
2023-08-03 11:10:11	ga_ls8c_ard_3-2-1_108081_2023-08-03_final
2023-08-10 11:14:23	ga_ls8c_ard_3-2-1_109076_2023-08-10_final
2023-08-14 09:13:37	ga_ls8c_ard_3-2-1_089083_2023-08-13_final
2023-08-17 09:44:57	ga_ls8c_ard_3-2-1_094084_2023-08-17_final
2023-08-26 11:14:31	ga_ls8c_ard_3-2-1_109076_2023-08-26_final
2023-09-25 11:23:47	ga_ls8c_ard_3-2-1_111068_2023-09-25_final
2023-10-30 10:19:31	ga_ls8c_ard_3-2-1_100077_2023-10-30_final
2023-11-11 09:06:28	ga_ls8c_ard_3-2-1_088080_2023-11-10_final
2023-11-12 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-11-12_final
2023-12-13 09:07:18	ga_ls8c_ard_3-2-1_088082_2023-12-12_final
2024-01-20 10:04:15	ga_ls8c_ard_3-2-1_098070_2024-01-20_final
2024-02-14 09:58:50	ga_ls8c_ard_3-2-1_097072_2024-02-14_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