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 10:54:43	ga_ls8c_ard_3-0-0_106067_2013-03-23_final
2013-10-29 11:39:21	ga_ls8c_ard_3-0-0_113072_2013-10-29_final
2014-02-04 09:47:50	ga_ls8c_ard_3-0-0_095073_2014-02-04_final
2014-02-26 10:48:55	ga_ls8c_ard_3-0-0_105072_2014-02-26_final
2014-05-17 10:49:20	ga_ls8c_ard_3-0-0_105076_2014-05-17_final
2014-09-18 11:14:15	ga_ls8c_ard_3-0-0_109075_2014-09-18_final
2014-10-18 11:27:55	ga_ls8c_ard_3-0-0_111078_2014-10-18_final
2015-01-11 11:45:52	ga_ls8c_ard_3-0-0_114077_2015-01-11_final
2015-02-16 09:40:02	ga_ls8c_ard_3-0-0_094072_2015-02-16_final
2015-03-31 11:02:23	ga_ls8c_ard_3-0-0_107078_2015-03-31_final
2015-06-22 11:29:59	ga_ls8c_ard_3-0-0_112070_2015-06-22_final
2015-07-30 10:54:00	ga_ls8c_ard_3-0-0_106072_2015-07-30_final
2015-09-02 09:06:33	ga_ls8c_ard_3-1-0_088081_2015-09-01_final
2015-10-30 11:24:00	ga_ls8c_ard_3-0-0_110084_2015-10-30_final
2016-03-04 11:36:09	ga_ls8c_ard_3-0-0_112084_2016-03-04_final
2016-04-10 11:52:25	ga_ls8c_ard_3-0-0_115079_2016-04-10_final
2016-07-02 09:06:35	ga_ls8c_ard_3-1-0_088081_2016-07-01_final
2016-11-08 11:24:25	ga_ls8c_ard_3-0-0_111069_2016-11-08_final
2017-01-31 11:01:25	ga_ls8c_ard_3-0-0_107074_2017-01-31_final
2017-02-21 11:17:49	ga_ls8c_ard_3-0-0_110069_2017-02-21_final
2017-08-09 11:16:08	ga_ls8c_ard_3-0-0_109080_2017-08-09_final
2017-10-07 10:53:03	ga_ls8c_ard_3-0-0_106068_2017-10-07_final
2017-10-12 11:14:48	ga_ls8c_ard_3-0-0_109076_2017-10-12_final
2017-11-20 09:40:50	ga_ls8c_ard_3-0-0_094073_2017-11-20_final
2017-12-13 11:25:51	ga_ls8c_ard_3-0-0_111073_2017-12-13_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-03-31 11:52:15	ga_ls8c_ard_3-0-0_115079_2018-03-31_final
2018-04-10 10:48:46	ga_ls8c_ard_3-0-0_105075_2018-04-10_final
2018-05-15 11:19:19	ga_ls8c_ard_3-0-0_110075_2018-05-15_final
2018-06-19 11:51:44	ga_ls8c_ard_3-0-0_115079_2018-06-19_final
2018-07-09 09:49:31	ga_ls8c_ard_3-0-0_095082_2018-07-09_final
2018-08-03 09:39:08	ga_ls8c_ard_3-0-0_094071_2018-08-03_final
2018-09-23 11:51:40	ga_ls8c_ard_3-0-0_115077_2018-09-23_final
2018-10-08 11:07:20	ga_ls8c_ard_3-0-0_108074_2018-10-08_final
2019-02-11 11:18:04	ga_ls8c_ard_3-0-0_110070_2019-02-11_final
2019-02-18 11:23:01	ga_ls8c_ard_3-0-0_111067_2019-02-18_final
2019-04-10 11:58:05	ga_ls8c_ard_3-1-0_116078_2019-04-10_final
2019-06-10 09:51:47	ga_ls8c_ard_3-0-0_095086_2019-06-10_final
2019-09-10 11:52:39	ga_ls8c_ard_3-1-0_115078_2019-09-10_final
2019-11-17 09:46:45	ga_ls8c_ard_3-1-0_095072_2019-11-17_final
2020-01-13 09:40:24	ga_ls8c_ard_3-1-0_094072_2020-01-13_final
2020-02-21 11:29:41	ga_ls8c_ard_3-1-0_111083_2020-02-21_final
2020-03-17 11:20:09	ga_ls8c_ard_3-1-0_110075_2020-03-17_final
2020-04-07 11:37:18	ga_ls8c_ard_3-1-0_113072_2020-04-07_final
2020-04-16 11:29:04	ga_ls8c_ard_3-1-0_112067_2020-04-16_final
2020-06-05 11:22:14	ga_ls8c_ard_3-1-0_110081_2020-06-05_final
2020-06-12 11:23:42	ga_ls8c_ard_3-1-0_111069_2020-06-12_final
2020-07-09 11:09:46	ga_ls8c_ard_3-1-0_108080_2020-07-09_final
2020-07-16 11:14:00	ga_ls8c_ard_3-1-0_109075_2020-07-16_final
2020-12-11 10:49:21	ga_ls8c_ard_3-1-0_105074_2020-12-11_final
2021-03-06 09:33:47	ga_ls8c_ard_3-2-0_092087_2021-03-06_final
2021-03-22 09:26:05	ga_ls8c_ard_3-2-0_092068_2021-03-21_final
2021-04-12 09:46:07	ga_ls8c_ard_3-2-0_095072_2021-04-12_final
2021-05-05 11:28:58	ga_ls8c_ard_3-2-0_112067_2021-05-05_final
2021-05-07 09:39:43	ga_ls8c_ard_3-2-0_094072_2021-05-07_final
2021-05-19 10:02:58	ga_ls8c_ard_3-2-0_098068_2021-05-19_final
2021-06-24 11:24:10	ga_ls8c_ard_3-2-0_110085_2021-06-24_final
2021-06-26 11:05:50	ga_ls8c_ard_3-2-0_108070_2021-06-26_final
2021-07-25 10:37:50	ga_ls8c_ard_3-2-0_103077_2021-07-25_final
2021-07-30 10:52:50	ga_ls8c_ard_3-2-0_106068_2021-07-30_final
2021-08-29 09:28:52	ga_ls8c_ard_3-2-0_092074_2021-08-28_final
2021-08-30 11:53:01	ga_ls8c_ard_3-2-0_115079_2021-08-30_final
2021-09-24 10:08:26	ga_ls8c_ard_3-2-0_098080_2021-09-24_final
2022-01-26 10:29:01	ga_ls8c_ard_3-2-1_102070_2022-01-26_final
2022-02-05 11:06:05	ga_ls8c_ard_3-2-1_108070_2022-02-05_final
2022-02-05 11:08:04	ga_ls8c_ard_3-2-1_108075_2022-02-05_final
2022-02-12 09:40:32	ga_ls8c_ard_3-2-1_093088_2022-02-12_final
2022-03-06 10:34:15	ga_ls8c_ard_3-2-1_103068_2022-03-06_final
2022-03-10 10:09:30	ga_ls8c_ard_3-2-1_099068_2022-03-10_final
2022-03-11 09:22:39	ga_ls8c_ard_3-2-1_090090_2022-03-10_final
2022-04-13 10:00:35	ga_ls8c_ard_3-2-1_097077_2022-04-13_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-06-03 10:28:05	ga_ls8c_ard_3-2-1_102068_2022-06-03_final
2022-06-25 09:58:24	ga_ls8c_ard_3-2-1_096086_2022-06-25_final
2022-06-27 11:20:56	ga_ls8c_ard_3-2-1_110076_2022-06-27_final
2022-07-10 09:11:57	ga_ls8c_ard_3-2-1_089078_2022-07-09_final
2022-08-09 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-08-08_final
2022-09-07 10:33:26	ga_ls8c_ard_3-2-1_102080_2022-09-07_final
2022-10-02 10:23:43	ga_ls8c_ard_3-2-1_101071_2022-10-02_final
2022-11-10 10:33:52	ga_ls8c_ard_3-2-1_102081_2022-11-10_final
2022-11-14 11:47:59	ga_ls8c_ard_3-2-1_114081_2022-11-14_final
2022-11-15 09:11:04	ga_ls8c_ard_3-2-1_089075_2022-11-14_final
2022-12-08 09:22:50	ga_ls8c_ard_3-2-1_090089_2022-12-07_final
2023-01-21 09:44:08	ga_ls8c_ard_3-2-1_094081_2023-01-21_final
2023-02-14 10:33:56	ga_ls8c_ard_3-2-1_102082_2023-02-14_final
2023-02-22 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-02-22_final
2023-03-10 09:39:48	ga_ls8c_ard_3-2-1_094071_2023-03-10_final
2023-04-03 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-04-03_final
2023-04-06 09:22:58	ga_ls8c_ard_3-2-1_091076_2023-04-05_final
2023-04-25 09:56:53	ga_ls8c_ard_3-2-1_096084_2023-04-25_final
2023-05-23 10:20:59	ga_ls8c_ard_3-2-1_100083_2023-05-23_final
2023-05-29 11:18:01	ga_ls8c_ard_3-2-1_110071_2023-05-29_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-09-22 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-09-22_final
2023-09-28 10:18:13	ga_ls8c_ard_3-2-1_100074_2023-09-28_final
2023-10-10 09:06:29	ga_ls8c_ard_3-2-1_088080_2023-10-09_final
2023-10-10 09:07:17	ga_ls8c_ard_3-2-1_088082_2023-10-09_final
2023-12-20 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-12-19_final
2024-01-07 10:34:44	ga_ls8c_ard_3-2-1_103069_2024-01-07_final
2024-01-13 10:04:05	ga_ls8c_ard_3-2-1_097085_2024-01-13_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