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
2013-06-02 11:19:10	ga_ls8c_ard_3-0-0_110067_2013-06-02_final
2013-07-23 11:53:10	ga_ls8c_ard_3-0-0_115075_2013-07-23_final
2013-11-28 11:54:25	ga_ls8c_ard_3-0-0_115079_2013-11-28_final
2014-03-24 11:24:26	ga_ls8c_ard_3-0-0_111069_2014-03-24_final
2014-05-23 11:51:54	ga_ls8c_ard_3-0-0_115078_2014-05-23_final
2014-06-12 09:45:18	ga_ls8c_ard_3-0-0_095070_2014-06-12_final
2014-08-15 11:24:09	ga_ls8c_ard_3-0-0_111069_2014-08-15_final
2014-09-28 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-09-28_final
2014-12-20 09:06:52	ga_ls8c_ard_3-1-0_088081_2014-12-19_final
2015-01-08 11:11:47	ga_ls8c_ard_3-0-0_109069_2015-01-08_final
2015-04-19 11:28:51	ga_ls8c_ard_3-0-0_112067_2015-04-19_final
2015-09-01 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-09-01_final
2015-10-03 11:35:40	ga_ls8c_ard_3-0-0_113067_2015-10-03_final
2015-12-07 09:06:28	ga_ls8c_ard_3-0-0_088080_2015-12-06_final
2015-12-07 09:07:16	ga_ls8c_ard_3-0-0_088082_2015-12-06_final
2016-01-25 11:24:10	ga_ls8c_ard_3-0-0_111069_2016-01-25_final
2016-04-23 09:39:45	ga_ls8c_ard_3-0-0_094072_2016-04-23_final
2016-07-19 11:26:03	ga_ls8c_ard_3-0-0_111074_2016-07-19_final
2016-12-03 09:40:33	ga_ls8c_ard_3-0-0_094072_2016-12-03_final
2016-12-10 11:24:23	ga_ls8c_ard_3-0-0_111069_2016-12-10_final
2017-04-01 11:24:28	ga_ls8c_ard_3-0-0_111071_2017-04-01_final
2017-04-10 09:39:44	ga_ls8c_ard_3-0-0_094072_2017-04-10_final
2017-07-15 11:18:08	ga_ls8c_ard_3-0-0_110070_2017-07-15_final
2017-08-06 09:07:08	ga_ls8c_ard_3-0-0_088082_2017-08-05_final
2017-09-01 11:18:01	ga_ls8c_ard_3-0-0_110069_2017-09-01_final
2018-01-05 11:30:24	ga_ls8c_ard_3-0-0_112069_2018-01-05_final
2018-01-14 11:26:09	ga_ls8c_ard_3-0-0_111074_2018-01-14_final
2018-01-17 11:57:49	ga_ls8c_ard_3-0-0_116076_2018-01-17_final
2018-07-16 11:31:26	ga_ls8c_ard_3-0-0_112074_2018-07-16_final
2018-08-03 09:39:08	ga_ls8c_ard_3-0-0_094071_2018-08-03_final
2018-08-12 11:13:32	ga_ls8c_ard_3-1-0_109075_2018-08-12_final
2018-08-19 11:17:46	ga_ls8c_ard_3-0-0_110070_2018-08-19_final
2018-10-29 11:25:59	ga_ls8c_ard_3-0-0_111074_2018-10-29_final
2018-12-15 09:06:36	ga_ls8c_ard_3-1-0_088081_2018-12-14_final
2018-12-23 11:29:21	ga_ls8c_ard_3-0-0_112067_2018-12-23_final
2019-01-24 11:32:04	ga_ls8c_ard_3-0-0_112074_2019-01-24_final
2019-04-22 09:06:33	ga_ls8c_ard_3-0-0_088082_2019-04-21_final
2019-05-04 11:05:47	ga_ls8c_ard_3-0-0_108071_2019-05-04_final
2019-05-27 11:13:25	ga_ls8c_ard_3-0-0_109074_2019-05-27_final
2019-05-27 11:17:24	ga_ls8c_ard_3-0-0_109084_2019-05-27_final
2019-07-23 11:05:56	ga_ls8c_ard_3-1-0_108070_2019-07-23_final
2019-09-03 11:47:37	ga_ls8c_ard_3-1-0_114081_2019-09-03_final
2019-09-05 11:32:28	ga_ls8c_ard_3-1-0_112074_2019-09-05_final
2019-09-29 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-09-28_final
2019-11-26 09:40:56	ga_ls8c_ard_3-1-0_094073_2019-11-26_final
2019-12-30 11:11:22	ga_ls8c_ard_3-1-0_108083_2019-12-30_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-09-25 11:18:36	ga_ls8c_ard_3-1-0_110070_2020-09-25_final
2020-10-11 09:40:09	ga_ls8c_ard_3-1-0_094071_2020-10-11_final
2020-10-18 11:26:01	ga_ls8c_ard_3-1-0_111073_2020-10-18_final
2021-03-23 10:09:20	ga_ls8c_ard_3-2-0_099068_2021-03-23_final
2021-04-10 09:56:30	ga_ls8c_ard_3-2-0_097067_2021-04-10_final
2021-04-30 09:39:35	ga_ls8c_ard_3-2-0_093087_2021-04-30_final
2021-05-27 10:55:41	ga_ls8c_ard_3-2-0_106076_2021-05-27_final
2021-06-01 09:38:58	ga_ls8c_ard_3-2-0_093085_2021-06-01_final
2021-06-11 11:51:01	ga_ls8c_ard_3-2-0_115075_2021-06-11_final
2021-07-06 10:03:15	ga_ls8c_ard_3-2-0_098068_2021-07-06_final
2021-07-10 11:20:13	ga_ls8c_ard_3-2-0_110075_2021-07-10_final
2021-07-18 10:28:00	ga_ls8c_ard_3-2-0_102068_2021-07-18_final
2021-08-06 09:22:58	ga_ls8c_ard_3-2-0_091075_2021-08-05_final
2021-09-08 10:04:48	ga_ls8c_ard_3-2-0_098071_2021-09-08_final
2021-09-27 10:39:46	ga_ls8c_ard_3-2-0_103081_2021-09-27_final
2021-10-03 11:41:37	ga_ls8c_ard_3-2-0_113081_2021-10-03_final
2021-10-27 09:16:56	ga_ls8c_ard_3-2-0_089090_2021-10-26_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2021-12-01 09:40:35	ga_ls8c_ard_3-2-0_094072_2021-12-01_final
2022-02-03 09:40:45	ga_ls8c_ard_3-2-1_094073_2022-02-03_final
2022-03-04 09:14:31	ga_ls8c_ard_3-2-1_089085_2022-03-03_final
2022-03-26 10:10:55	ga_ls8c_ard_3-2-1_099072_2022-03-26_final
2022-04-19 11:04:47	ga_ls8c_ard_3-2-1_107083_2022-04-19_final
2022-04-20 10:07:10	ga_ls8c_ard_3-2-1_098078_2022-04-20_final
2022-05-01 11:25:52	ga_ls8c_ard_3-2-1_111074_2022-05-01_final
2022-05-10 11:18:36	ga_ls8c_ard_3-2-1_110071_2022-05-10_final
2022-05-12 11:10:15	ga_ls8c_ard_3-2-1_108081_2022-05-12_final
2022-05-14 10:53:07	ga_ls8c_ard_3-2-1_106069_2022-05-14_final
2022-06-10 10:35:58	ga_ls8c_ard_3-2-1_103072_2022-06-10_final
2022-06-18 11:29:28	ga_ls8c_ard_3-2-1_111082_2022-06-18_final
2022-07-01 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-07-01_final
2022-07-10 10:50:02	ga_ls8c_ard_3-2-1_105076_2022-07-10_final
2022-07-17 09:22:31	ga_ls8c_ard_3-2-1_090089_2022-07-16_final
2022-08-21 11:24:38	ga_ls8c_ard_3-2-1_111069_2022-08-21_final
2022-08-23 09:34:35	ga_ls8c_ard_3-2-1_093072_2022-08-23_final
2022-08-26 11:47:57	ga_ls8c_ard_3-2-1_114081_2022-08-26_final
2022-09-06 09:47:22	ga_ls8c_ard_3-2-1_095073_2022-09-06_final
2022-09-12 09:11:08	ga_ls8c_ard_3-2-1_089075_2022-09-11_final
2022-09-25 10:17:33	ga_ls8c_ard_3-2-1_100071_2022-09-25_final
2022-10-20 10:14:29	ga_ls8c_ard_3-2-1_099079_2022-10-20_final
2022-10-20 11:52:58	ga_ls8c_ard_3-2-1_115078_2022-10-20_final
2022-10-27 10:20:20	ga_ls8c_ard_3-2-1_100078_2022-10-27_final
2022-10-31 09:58:01	ga_ls8c_ard_3-2-1_096084_2022-10-31_final
2022-11-06 09:22:31	ga_ls8c_ard_3-2-1_090088_2022-11-05_final
2022-11-21 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-11-21_final
2022-12-17 09:12:11	ga_ls8c_ard_3-2-1_089078_2022-12-16_final
2022-12-29 11:14:32	ga_ls8c_ard_3-2-1_109075_2022-12-29_final
2023-01-09 09:17:29	ga_ls8c_ard_3-2-1_090076_2023-01-08_final
2023-01-25 10:53:57	ga_ls8c_ard_3-2-1_106070_2023-01-25_final
2023-02-06 09:41:00	ga_ls8c_ard_3-2-1_094073_2023-02-06_final
2023-02-17 09:22:19	ga_ls8c_ard_3-2-1_091073_2023-02-16_final
2023-05-07 10:17:30	ga_ls8c_ard_3-2-1_100074_2023-05-07_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