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
2013-04-18 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-04-18_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-04 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-05-04_final
2013-08-01 10:11:20	ga_ls8c_ard_3-0-0_098083_2013-08-01_final
2013-10-26 09:30:24	ga_ls8c_ard_3-0-0_092074_2013-10-26_final
2013-12-09 11:33:28	ga_ls8c_ard_3-0-0_112073_2013-12-09_final
2014-01-16 10:54:20	ga_ls8c_ard_3-0-0_106069_2014-01-16_final
2014-01-22 10:20:26	ga_ls8c_ard_3-0-0_100077_2014-01-22_final
2014-04-26 10:28:42	ga_ls8c_ard_3-0-0_102070_2014-04-26_final
2014-05-02 09:57:29	ga_ls8c_ard_3-0-0_096085_2014-05-02_final
2014-05-14 10:19:16	ga_ls8c_ard_3-0-0_100078_2014-05-14_final
2014-07-01 10:19:28	ga_ls8c_ard_3-0-0_100078_2014-07-01_final
2014-07-17 10:19:10	ga_ls8c_ard_3-0-0_100077_2014-07-17_final
2014-08-26 09:28:44	ga_ls8c_ard_3-0-0_092074_2014-08-25_final
2014-09-18 09:34:34	ga_ls8c_ard_3-0-0_093073_2014-09-18_final
2014-12-16 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-12-15_final
2015-01-16 10:23:54	ga_ls8c_ard_3-0-0_101073_2015-01-16_final
2015-02-07 11:24:00	ga_ls8c_ard_3-0-0_111069_2015-02-07_final
2015-03-23 10:09:52	ga_ls8c_ard_3-0-0_099070_2015-03-23_final
2015-05-16 09:32:39	ga_ls8c_ard_3-0-0_093071_2015-05-16_final
2015-08-13 09:27:33	ga_ls8c_ard_3-0-0_092072_2015-08-12_final
2015-11-22 11:24:38	ga_ls8c_ard_3-0-0_111070_2015-11-22_final
2016-01-02 11:18:01	ga_ls8c_ard_3-0-0_110069_2016-01-02_final
2016-02-24 09:56:40	ga_ls8c_ard_3-0-0_097067_2016-02-24_final
2016-03-09 10:12:59	ga_ls8c_ard_3-0-0_099077_2016-03-09_final
2016-03-15 09:33:52	ga_ls8c_ard_3-0-0_093072_2016-03-15_final
2016-03-18 10:07:09	ga_ls8c_ard_3-0-0_098078_2016-03-18_final
2016-04-05 11:31:06	ga_ls8c_ard_3-0-0_112072_2016-04-05_final
2016-04-17 10:18:52	ga_ls8c_ard_3-0-0_100077_2016-04-17_final
2016-05-02 09:34:04	ga_ls8c_ard_3-0-0_093073_2016-05-02_final
2016-05-16 11:24:03	ga_ls8c_ard_3-0-0_111070_2016-05-16_final
2016-06-12 09:27:33	ga_ls8c_ard_3-0-0_092072_2016-06-11_final
2016-08-16 10:13:11	ga_ls8c_ard_3-0-0_099077_2016-08-16_final
2016-09-19 09:57:00	ga_ls8c_ard_3-0-0_097067_2016-09-19_final
2016-10-16 09:40:33	ga_ls8c_ard_3-0-0_094072_2016-10-16_final
2016-12-10 11:24:23	ga_ls8c_ard_3-0-0_111069_2016-12-10_final
2017-02-03 11:32:17	ga_ls8c_ard_3-0-0_112074_2017-02-03_final
2017-03-28 10:08:44	ga_ls8c_ard_3-0-0_099067_2017-03-28_final
2017-04-03 09:33:12	ga_ls8c_ard_3-0-0_093071_2017-04-03_final
2017-05-01 09:56:03	ga_ls8c_ard_3-0-0_097067_2017-05-01_final
2017-05-15 10:12:57	ga_ls8c_ard_3-0-0_099078_2017-05-15_final
2017-05-30 09:27:27	ga_ls8c_ard_3-0-0_092072_2017-05-29_final
2017-07-29 11:30:37	ga_ls8c_ard_3-0-0_112070_2017-07-29_final
2017-08-05 09:58:21	ga_ls8c_ard_3-0-0_097071_2017-08-05_final
2017-10-17 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-10-17_final
2017-10-21 09:28:58	ga_ls8c_ard_3-0-0_092074_2017-10-20_final
2017-11-02 11:32:10	ga_ls8c_ard_3-0-0_112073_2017-11-02_final
2017-11-04 09:40:07	ga_ls8c_ard_3-0-0_094071_2017-11-04_final
2017-11-22 09:28:04	ga_ls8c_ard_3-0-0_092072_2017-11-21_final
2018-02-18 10:19:05	ga_ls8c_ard_3-0-0_100077_2018-02-18_final
2018-05-08 09:32:44	ga_ls8c_ard_3-0-0_093071_2018-05-08_final
2018-06-14 09:52:39	ga_ls8c_ard_3-0-0_096075_2018-06-14_final
2018-06-23 11:24:40	ga_ls8c_ard_3-0-0_111073_2018-06-23_final
2018-07-20 09:27:52	ga_ls8c_ard_3-0-0_092074_2018-07-19_final
2018-09-07 10:12:42	ga_ls8c_ard_3-0-0_099077_2018-09-07_final
2019-03-30 10:39:23	ga_ls8c_ard_3-1-0_103082_2019-03-30_final
2019-06-25 09:07:01	ga_ls8c_ard_3-1-0_088082_2019-06-24_final
2019-08-15 09:34:11	ga_ls8c_ard_3-1-0_093072_2019-08-15_final
2019-11-13 10:13:52	ga_ls8c_ard_3-1-0_099078_2019-11-13_final
2019-12-07 11:05:16	ga_ls8c_ard_3-1-0_107083_2019-12-07_final
2019-12-28 09:40:28	ga_ls8c_ard_3-1-0_094072_2019-12-28_final
2020-04-05 10:13:11	ga_ls8c_ard_3-1-0_099078_2020-04-05_final
2020-06-07 09:32:37	ga_ls8c_ard_3-1-0_092085_2020-06-07_final
2020-06-23 09:33:10	ga_ls8c_ard_3-1-0_092086_2020-06-23_final
2020-07-25 09:31:22	ga_ls8c_ard_3-1-0_092081_2020-07-25_final
2020-08-11 10:13:30	ga_ls8c_ard_3-1-0_099078_2020-08-11_final
2020-10-27 09:40:33	ga_ls8c_ard_3-1-0_094072_2020-10-27_final
2020-11-21 11:12:51	ga_ls8c_ard_3-1-0_109071_2020-11-21_final
2021-02-02 09:27:59	ga_ls8c_ard_3-2-0_092072_2021-02-01_final
2021-03-22 09:29:16	ga_ls8c_ard_3-2-0_092076_2021-03-21_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-08-31 09:21:43	ga_ls8c_ard_3-2-0_090087_2021-08-30_final
2022-01-12 10:19:32	ga_ls8c_ard_3-2-1_100077_2022-01-12_final
2022-01-22 09:17:17	ga_ls8c_ard_3-2-1_090076_2022-01-21_final
2022-02-09 09:07:39	ga_ls8c_ard_3-2-1_088083_2022-02-08_final
2022-03-03 10:02:58	ga_ls8c_ard_3-2-1_098067_2022-03-03_final
2022-03-09 09:28:39	ga_ls8c_ard_3-2-1_092074_2022-03-08_final
2022-04-10 11:10:33	ga_ls8c_ard_3-2-1_108082_2022-04-10_final
2022-04-29 11:42:11	ga_ls8c_ard_3-2-1_113084_2022-04-29_final
2022-05-05 09:21:31	ga_ls8c_ard_3-2-1_091072_2022-05-04_final
2022-05-05 09:22:19	ga_ls8c_ard_3-2-1_091074_2022-05-04_final
2022-06-13 09:28:49	ga_ls8c_ard_3-2-1_092074_2022-06-12_final
2022-07-01 09:22:56	ga_ls8c_ard_3-2-1_090090_2022-06-30_final
2022-10-05 09:17:18	ga_ls8c_ard_3-2-1_090075_2022-10-04_final
2022-11-18 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-11-18_final
2022-12-07 10:10:29	ga_ls8c_ard_3-2-1_099069_2022-12-07_final
2022-12-17 09:13:46	ga_ls8c_ard_3-2-1_089082_2022-12-16_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-02-25 11:51:39	ga_ls8c_ard_3-2-1_115076_2023-02-25_final
2023-04-04 09:34:10	ga_ls8c_ard_3-2-1_093073_2023-04-04_final
2023-04-30 10:09:49	ga_ls8c_ard_3-2-1_099070_2023-04-30_final
2023-05-24 09:20:59	ga_ls8c_ard_3-2-1_091072_2023-05-23_final
2023-06-16 09:27:19	ga_ls8c_ard_3-2-1_092072_2023-06-15_final
2023-07-11 09:27:22	ga_ls8c_ard_3-2-1_091087_2023-07-10_final
2023-07-29 09:15:55	ga_ls8c_ard_3-2-1_089089_2023-07-28_final
2023-07-29 09:16:19	ga_ls8c_ard_3-2-1_089090_2023-07-28_final
2023-08-21 09:16:41	ga_ls8c_ard_3-2-1_090075_2023-08-20_final
2023-09-06 09:22:39	ga_ls8c_ard_3-2-1_090090_2023-09-05_final
2023-11-18 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-17_final
2024-01-21 09:10:36	ga_ls8c_ard_3-2-1_089075_2024-01-20_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