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
2013-04-26 09:24:14	ga_ls8c_ard_3-0-0_091074_2013-04-25_final
2014-01-21 11:14:52	ga_ls8c_ard_3-0-0_109074_2014-01-21_final
2014-05-22 09:28:10	ga_ls8c_ard_3-0-0_092074_2014-05-21_final
2014-05-30 10:21:16	ga_ls8c_ard_3-0-0_100083_2014-05-30_final
2014-07-11 09:16:57	ga_ls8c_ard_3-0-0_090076_2014-07-10_final
2014-08-10 09:27:54	ga_ls8c_ard_3-0-0_092072_2014-08-09_final
2014-08-27 10:13:12	ga_ls8c_ard_3-0-0_099077_2014-08-27_final
2014-10-22 09:21:55	ga_ls8c_ard_3-0-0_091072_2014-10-21_final
2014-12-11 09:10:36	ga_ls8c_ard_3-0-0_089075_2014-12-10_final
2015-01-15 09:38:15	ga_ls8c_ard_3-0-0_094067_2015-01-15_final
2015-03-24 09:16:38	ga_ls8c_ard_3-0-0_090076_2015-03-23_final
2015-05-09 09:32:56	ga_ls8c_ard_3-0-0_092087_2015-05-09_final
2015-05-11 10:51:27	ga_ls8c_ard_3-0-0_106067_2015-05-11_final
2015-12-19 09:28:48	ga_ls8c_ard_3-0-0_092074_2015-12-18_final
2016-02-03 11:17:09	ga_ls8c_ard_3-0-0_110067_2016-02-03_final
2016-04-01 10:18:57	ga_ls8c_ard_3-0-0_100077_2016-04-01_final
2016-05-03 11:58:13	ga_ls8c_ard_3-0-0_116078_2016-05-03_final
2016-07-03 11:28:21	ga_ls8c_ard_3-0-0_111080_2016-07-03_final
2016-07-16 10:52:21	ga_ls8c_ard_3-0-0_106067_2016-07-16_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2017-01-20 09:39:57	ga_ls8c_ard_3-0-0_094071_2017-01-20_final
2017-02-25 09:20:58	ga_ls8c_ard_3-0-0_090086_2017-02-24_final
2017-03-06 09:09:56	ga_ls8c_ard_3-0-0_089074_2017-03-05_final
2017-06-24 09:19:50	ga_ls8c_ard_3-0-0_091068_2017-06-23_final
2017-07-31 09:38:11	ga_ls8c_ard_3-0-0_094067_2017-07-31_final
2017-09-09 10:33:46	ga_ls8c_ard_3-0-0_102082_2017-09-09_final
2017-10-06 10:13:47	ga_ls8c_ard_3-0-0_099078_2017-10-06_final
2017-10-23 09:17:24	ga_ls8c_ard_3-0-0_090076_2017-10-22_final
2017-12-04 11:30:49	ga_ls8c_ard_3-0-0_112070_2017-12-04_final
2017-12-29 09:51:46	ga_ls8c_ard_3-0-0_095085_2017-12-29_final
2018-01-07 09:40:20	ga_ls8c_ard_3-0-0_094072_2018-01-07_final
2018-01-30 11:23:12	ga_ls8c_ard_3-0-0_111067_2018-01-30_final
2018-03-16 09:16:15	ga_ls8c_ard_3-0-0_090075_2018-03-15_final
2018-03-26 11:30:10	ga_ls8c_ard_3-0-0_112070_2018-03-26_final
2018-03-26 11:31:22	ga_ls8c_ard_3-0-0_112073_2018-03-26_final
2018-04-22 09:33:17	ga_ls8c_ard_3-0-0_093072_2018-04-22_final
2018-05-26 09:20:33	ga_ls8c_ard_3-0-0_091072_2018-05-25_final
2018-05-26 09:20:57	ga_ls8c_ard_3-0-0_091073_2018-05-25_final
2018-05-31 09:39:01	ga_ls8c_ard_3-0-0_094072_2018-05-31_final
2018-06-26 11:56:24	ga_ls8c_ard_3-0-0_116075_2018-06-26_final
2018-07-15 10:48:34	ga_ls8c_ard_3-0-0_105075_2018-07-15_final
2018-08-30 09:21:13	ga_ls8c_ard_3-0-0_091072_2018-08-29_final
2018-09-22 09:28:19	ga_ls8c_ard_3-0-0_092074_2018-09-21_final
2018-12-13 09:16:34	ga_ls8c_ard_3-0-0_090075_2018-12-12_final
2019-01-17 11:24:19	ga_ls8c_ard_3-0-0_111070_2019-01-17_final
2019-01-24 09:51:11	ga_ls8c_ard_3-0-0_096069_2019-01-24_final
2019-02-13 09:27:37	ga_ls8c_ard_3-0-0_092072_2019-02-12_final
2019-03-03 09:16:22	ga_ls8c_ard_3-0-0_090075_2019-03-02_final
2019-03-27 10:04:06	ga_ls8c_ard_3-1-0_098071_2019-03-27_final
2019-04-02 09:27:24	ga_ls8c_ard_3-1-0_092072_2019-04-01_final
2019-04-22 09:05:45	ga_ls8c_ard_3-0-0_088080_2019-04-21_final
2019-06-16 09:12:21	ga_ls8c_ard_3-1-0_089080_2019-06-15_final
2019-06-22 11:53:04	ga_ls8c_ard_3-1-0_115080_2019-06-22_final
2019-08-08 09:27:57	ga_ls8c_ard_3-1-0_092072_2019-08-07_final
2019-08-17 09:21:50	ga_ls8c_ard_3-1-0_091072_2019-08-16_final
2019-08-19 09:10:16	ga_ls8c_ard_3-1-0_089074_2019-08-18_final
2019-09-20 10:50:06	ga_ls8c_ard_3-1-0_105076_2019-09-20_final
2019-10-16 11:24:29	ga_ls8c_ard_3-1-0_111069_2019-10-16_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2019-12-03 09:45:55	ga_ls8c_ard_3-1-0_095070_2019-12-03_final
2020-01-24 09:23:01	ga_ls8c_ard_3-1-0_091075_2020-01-23_final
2020-02-11 09:12:10	ga_ls8c_ard_3-1-0_089079_2020-02-10_final
2020-02-27 09:16:05	ga_ls8c_ard_3-1-0_089089_2020-02-26_final
2020-07-08 10:22:31	ga_ls8c_ard_3-1-0_101070_2020-07-08_final
2020-07-20 09:10:01	ga_ls8c_ard_3-1-0_089074_2020-07-19_final
2020-08-03 09:22:02	ga_ls8c_ard_3-1-0_091073_2020-08-02_final
2020-10-04 09:34:46	ga_ls8c_ard_3-1-0_093073_2020-10-04_final
2020-11-26 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-11-26_final
2020-12-03 11:38:00	ga_ls8c_ard_3-1-0_113072_2020-12-03_final
2020-12-04 09:06:41	ga_ls8c_ard_3-1-0_088080_2020-12-03_final
2021-01-18 10:08:53	ga_ls8c_ard_3-2-1_099066_2021-01-18_final
2021-01-26 11:00:18	ga_ls8c_ard_3-2-0_107071_2021-01-26_final
2021-02-02 09:27:59	ga_ls8c_ard_3-2-0_092072_2021-02-01_final
2021-02-02 09:28:47	ga_ls8c_ard_3-2-0_092074_2021-02-01_final
2021-03-08 09:17:01	ga_ls8c_ard_3-2-0_090076_2021-03-07_final
2021-03-23 10:10:08	ga_ls8c_ard_3-2-0_099070_2021-03-23_final
2021-05-14 09:45:35	ga_ls8c_ard_3-2-0_095071_2021-05-14_final
2021-06-15 11:29:31	ga_ls8c_ard_3-2-0_111083_2021-06-15_final
2021-07-19 09:33:59	ga_ls8c_ard_3-2-0_093072_2021-07-19_final
2021-07-28 09:28:41	ga_ls8c_ard_3-2-0_092074_2021-07-27_final
2021-08-27 09:38:26	ga_ls8c_ard_3-2-0_094067_2021-08-27_final
2021-08-30 11:53:01	ga_ls8c_ard_3-2-0_115079_2021-08-30_final
2021-11-13 11:30:14	ga_ls8c_ard_3-2-0_112068_2021-11-13_final
2021-11-13 11:31:02	ga_ls8c_ard_3-2-0_112070_2021-11-13_final
2021-11-21 10:46:21	ga_ls8c_ard_3-2-0_104082_2021-11-21_final
2021-11-28 09:11:40	ga_ls8c_ard_3-2-0_089077_2021-11-27_final
2021-12-05 10:56:21	ga_ls8c_ard_3-2-1_106076_2021-12-05_final
2022-03-10 10:10:18	ga_ls8c_ard_3-2-1_099070_2022-03-10_final
2022-04-05 09:10:17	ga_ls8c_ard_3-2-1_089075_2022-04-04_final
2022-04-15 11:24:20	ga_ls8c_ard_3-2-1_111070_2022-04-15_final
2022-05-05 09:22:43	ga_ls8c_ard_3-2-1_091075_2022-05-04_final
2022-09-17 09:28:30	ga_ls8c_ard_3-2-1_092072_2022-09-16_final
2023-01-18 10:48:29	ga_ls8c_ard_3-2-1_105072_2023-01-18_final
2023-02-22 11:19:38	ga_ls8c_ard_3-2-1_110073_2023-02-22_final
2023-03-03 09:34:05	ga_ls8c_ard_3-2-1_093072_2023-03-03_final
2023-03-06 10:02:34	ga_ls8c_ard_3-2-1_098066_2023-03-06_final
2023-05-22 09:32:56	ga_ls8c_ard_3-2-1_093071_2023-05-22_final
2023-07-03 10:13:57	ga_ls8c_ard_3-2-1_099080_2023-07-03_final
2023-09-27 09:34:09	ga_ls8c_ard_3-2-1_093072_2023-09-27_final
2023-10-17 09:10:40	ga_ls8c_ard_3-2-1_089075_2023-10-16_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