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
2013-03-23 10:55:30	ga_ls8c_ard_3-0-0_106069_2013-03-23_final
2013-07-06 11:13:31	ga_ls8c_ard_3-0-0_108084_2013-07-06_final
2013-08-07 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-08-07_final
2013-11-07 11:33:13	ga_ls8c_ard_3-0-0_112072_2013-11-07_final
2014-02-15 09:29:30	ga_ls8c_ard_3-0-0_092074_2014-02-14_final
2014-03-11 10:22:14	ga_ls8c_ard_3-0-0_100083_2014-03-11_final
2014-03-31 11:32:29	ga_ls8c_ard_3-0-0_112074_2014-03-31_final
2014-04-26 10:29:54	ga_ls8c_ard_3-0-0_102073_2014-04-26_final
2014-06-07 09:28:19	ga_ls8c_ard_3-0-0_092074_2014-06-06_final
2014-07-30 11:24:02	ga_ls8c_ard_3-0-0_111069_2014-07-30_final
2015-04-10 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-04-10_final
2015-06-07 10:38:38	ga_ls8c_ard_3-0-0_103081_2015-06-07_final
2015-08-20 11:17:28	ga_ls8c_ard_3-0-0_109084_2015-08-20_final
2015-12-12 09:20:12	ga_ls8c_ard_3-0-0_091068_2015-12-11_final
2015-12-26 09:33:47	ga_ls8c_ard_3-0-0_093071_2015-12-26_final
2016-01-06 10:52:52	ga_ls8c_ard_3-0-0_106068_2016-01-06_final
2016-02-01 09:50:38	ga_ls8c_ard_3-0-0_096067_2016-02-01_final
2016-03-09 10:13:23	ga_ls8c_ard_3-0-0_099078_2016-03-09_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-05-21 10:07:44	ga_ls8c_ard_3-0-0_098080_2016-05-21_final
2016-06-19 11:17:02	ga_ls8c_ard_3-0-0_109083_2016-06-19_final
2016-06-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2016-06-26_final
2016-07-28 09:38:14	ga_ls8c_ard_3-0-0_094067_2016-07-28_final
2016-08-14 10:27:32	ga_ls8c_ard_3-0-0_101082_2016-08-14_final
2016-10-07 11:24:22	ga_ls8c_ard_3-0-0_111069_2016-10-07_final
2016-12-02 10:36:10	ga_ls8c_ard_3-0-0_103072_2016-12-02_final
2016-12-15 10:09:36	ga_ls8c_ard_3-0-0_098083_2016-12-15_final
2017-03-11 09:28:26	ga_ls8c_ard_3-1-0_092074_2017-03-10_final
2017-04-05 09:22:02	ga_ls8c_ard_3-0-0_091074_2017-04-04_final
2017-04-08 11:30:11	ga_ls8c_ard_3-0-0_112070_2017-04-08_final
2017-04-13 10:09:00	ga_ls8c_ard_3-0-0_099068_2017-04-13_final
2017-04-25 10:38:23	ga_ls8c_ard_3-0-0_103080_2017-04-25_final
2017-05-10 11:30:50	ga_ls8c_ard_3-0-0_112072_2017-05-10_final
2017-11-27 09:44:34	ga_ls8c_ard_3-0-0_095067_2017-11-27_final
2018-01-05 09:50:43	ga_ls8c_ard_3-0-0_096067_2018-01-05_final
2018-02-15 11:25:30	ga_ls8c_ard_3-0-0_111073_2018-02-15_final
2018-03-05 09:34:07	ga_ls8c_ard_3-0-0_093073_2018-03-05_final
2018-03-06 10:16:34	ga_ls8c_ard_3-0-0_100071_2018-03-06_final
2018-03-07 09:22:32	ga_ls8c_ard_3-0-0_091075_2018-03-06_final
2018-04-10 10:48:46	ga_ls8c_ard_3-0-0_105075_2018-04-10_final
2018-10-17 09:21:56	ga_ls8c_ard_3-0-0_091073_2018-10-16_final
2018-11-13 09:07:04	ga_ls8c_ard_3-0-0_088082_2018-11-12_final
2018-12-19 10:19:34	ga_ls8c_ard_3-0-0_100078_2018-12-19_final
2018-12-31 09:07:00	ga_ls8c_ard_3-0-0_088082_2018-12-30_final
2019-05-21 10:15:09	ga_ls8c_ard_3-0-0_099083_2019-05-21_final
2019-06-10 11:23:53	ga_ls8c_ard_3-0-0_111069_2019-06-10_final
2019-08-25 11:51:23	ga_ls8c_ard_3-1-0_115075_2019-08-25_final
2019-10-11 11:08:20	ga_ls8c_ard_3-1-0_108075_2019-10-11_final
2019-10-13 10:55:58	ga_ls8c_ard_3-1-0_106075_2019-10-13_final
2019-11-01 11:26:28	ga_ls8c_ard_3-1-0_111074_2019-11-01_final
2019-11-07 10:49:23	ga_ls8c_ard_3-1-0_105074_2019-11-07_final
2019-11-28 11:11:51	ga_ls8c_ard_3-1-0_108084_2019-11-28_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-02-17 10:09:57	ga_ls8c_ard_3-1-0_099069_2020-02-17_final
2020-03-17 11:20:09	ga_ls8c_ard_3-1-0_110075_2020-03-17_final
2020-05-22 09:33:17	ga_ls8c_ard_3-1-0_092087_2020-05-22_final
2020-07-09 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-07-09_final
2020-07-12 09:57:01	ga_ls8c_ard_3-1-0_097068_2020-07-12_final
2020-07-17 10:19:35	ga_ls8c_ard_3-1-0_100078_2020-07-17_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-09-16 09:44:40	ga_ls8c_ard_3-1-0_095067_2020-09-16_final
2020-09-24 10:36:08	ga_ls8c_ard_3-1-0_103072_2020-09-24_final
2020-10-03 10:28:23	ga_ls8c_ard_3-1-0_102068_2020-10-03_final
2020-10-04 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-10-04_final
2020-10-11 11:20:38	ga_ls8c_ard_3-1-0_110075_2020-10-11_final
2020-10-23 10:06:05	ga_ls8c_ard_3-1-0_098074_2020-10-23_final
2020-10-30 10:10:39	ga_ls8c_ard_3-1-0_099070_2020-10-30_final
2020-11-16 09:21:23	ga_ls8c_ard_3-1-0_090086_2020-11-15_final
2020-12-06 10:33:37	ga_ls8c_ard_3-1-0_102081_2020-12-06_final
2021-03-27 11:23:53	ga_ls8c_ard_3-2-0_111069_2021-03-27_final
2021-04-08 10:12:51	ga_ls8c_ard_3-2-0_099077_2021-04-08_final
2021-05-21 09:50:14	ga_ls8c_ard_3-2-0_096067_2021-05-21_final
2021-06-06 11:35:38	ga_ls8c_ard_3-2-0_112083_2021-06-06_final
2021-06-24 09:40:54	ga_ls8c_ard_3-2-0_094074_2021-06-24_final
2021-07-14 09:17:00	ga_ls8c_ard_3-2-0_090076_2021-07-13_final
2021-07-24 11:32:15	ga_ls8c_ard_3-2-0_112074_2021-07-24_final
2021-08-08 09:16:13	ga_ls8c_ard_3-2-0_089089_2021-08-07_final
2021-08-16 11:35:48	ga_ls8c_ard_3-2-0_113067_2021-08-16_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2021-12-01 09:41:23	ga_ls8c_ard_3-2-0_094074_2021-12-01_final
2021-12-05 10:56:21	ga_ls8c_ard_3-2-1_106076_2021-12-05_final
2021-12-14 10:49:21	ga_ls8c_ard_3-2-1_105074_2021-12-14_final
2022-04-05 10:49:34	ga_ls8c_ard_3-2-1_105076_2022-04-05_final
2022-05-28 09:28:35	ga_ls8c_ard_3-2-1_092074_2022-05-27_final
2022-06-02 11:23:42	ga_ls8c_ard_3-2-1_111068_2022-06-02_final
2022-10-05 10:53:24	ga_ls8c_ard_3-2-1_106068_2022-10-05_final
2022-12-06 11:12:05	ga_ls8c_ard_3-2-1_108084_2022-12-06_final
2022-12-07 10:11:17	ga_ls8c_ard_3-2-1_099071_2022-12-07_final
2022-12-23 10:12:42	ga_ls8c_ard_3-2-1_099075_2022-12-23_final
2023-01-10 11:38:02	ga_ls8c_ard_3-2-1_113072_2023-01-10_final
2023-03-05 09:22:07	ga_ls8c_ard_3-2-1_091073_2023-03-04_final
2023-03-21 09:21:58	ga_ls8c_ard_3-2-1_091073_2023-03-20_final
2023-05-07 11:57:59	ga_ls8c_ard_3-2-1_116078_2023-05-07_final
2023-07-27 09:21:28	ga_ls8c_ard_3-2-1_091072_2023-07-26_final
2023-09-15 10:49:27	ga_ls8c_ard_3-2-1_105075_2023-09-15_final
2023-09-25 11:24:35	ga_ls8c_ard_3-2-1_111070_2023-09-25_final
2023-11-28 11:29:31	ga_ls8c_ard_3-2-1_111082_2023-11-28_final
2023-11-30 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-11-30_final
2024-01-11 10:14:02	ga_ls8c_ard_3-2-1_099079_2024-01-11_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_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