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
2013-11-11 11:09:17	ga_ls8c_ard_3-0-0_108074_2013-11-11_final
2014-01-28 11:19:25	ga_ls8c_ard_3-0-0_110070_2014-01-28_final
2014-05-24 10:52:41	ga_ls8c_ard_3-0-0_106069_2014-05-24_final
2014-05-28 10:27:37	ga_ls8c_ard_3-0-0_102068_2014-05-28_final
2014-09-12 10:10:28	ga_ls8c_ard_3-0-0_099070_2014-09-12_final
2015-02-07 11:25:12	ga_ls8c_ard_3-0-0_111072_2015-02-07_final
2015-04-07 11:10:55	ga_ls8c_ard_3-0-0_108084_2015-04-07_final
2015-04-18 10:47:35	ga_ls8c_ard_3-0-0_105072_2015-04-18_final
2015-08-04 11:15:44	ga_ls8c_ard_3-0-0_109080_2015-08-04_final
2015-08-11 11:18:23	ga_ls8c_ard_3-0-0_110071_2015-08-11_final
2015-10-27 10:49:06	ga_ls8c_ard_3-0-0_105074_2015-10-27_final
2016-01-18 11:22:47	ga_ls8c_ard_3-0-0_110081_2016-01-18_final
2016-01-22 10:54:04	ga_ls8c_ard_3-0-0_106071_2016-01-22_final
2016-02-17 11:29:23	ga_ls8c_ard_3-0-0_112067_2016-02-17_final
2016-03-08 11:11:01	ga_ls8c_ard_3-0-0_108083_2016-03-08_final
2016-04-22 10:38:34	ga_ls8c_ard_3-0-0_103080_2016-04-22_final
2016-05-22 10:46:13	ga_ls8c_ard_3-0-0_105068_2016-05-22_final
2016-05-28 10:09:58	ga_ls8c_ard_3-0-0_099070_2016-05-28_final
2016-06-29 10:10:33	ga_ls8c_ard_3-0-0_099071_2016-06-29_final
2016-08-18 11:38:32	ga_ls8c_ard_3-0-0_113074_2016-08-18_final
2016-12-29 10:21:32	ga_ls8c_ard_3-0-0_100082_2016-12-29_final
2017-01-18 11:36:00	ga_ls8c_ard_3-0-0_112083_2017-01-18_final
2017-09-01 11:18:01	ga_ls8c_ard_3-0-0_110069_2017-09-01_final
2017-09-04 10:10:26	ga_ls8c_ard_3-0-0_099070_2017-09-04_final
2017-11-01 10:49:18	ga_ls8c_ard_3-0-0_105074_2017-11-01_final
2018-02-07 10:37:41	ga_ls8c_ard_3-0-0_103077_2018-02-07_final
2018-03-12 11:19:06	ga_ls8c_ard_3-0-0_110073_2018-03-12_final
2018-05-22 11:27:48	ga_ls8c_ard_3-0-0_111081_2018-05-22_final
2018-06-21 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-06-21_final
2018-07-04 11:05:02	ga_ls8c_ard_3-0-0_108070_2018-07-04_final
2018-07-22 10:51:36	ga_ls8c_ard_3-0-0_106067_2018-07-22_final
2018-07-30 11:41:07	ga_ls8c_ard_3-0-0_114067_2018-07-30_final
2019-01-02 10:33:32	ga_ls8c_ard_3-0-0_102082_2019-01-02_final
2019-01-25 10:34:26	ga_ls8c_ard_3-0-0_103069_2019-01-25_final
2019-03-18 11:52:23	ga_ls8c_ard_3-1-0_115079_2019-03-18_final
2019-04-17 10:26:31	ga_ls8c_ard_3-1-0_101081_2019-04-17_final
2019-05-28 10:21:47	ga_ls8c_ard_3-0-0_100084_2019-05-28_final
2019-06-01 11:31:12	ga_ls8c_ard_3-0-0_112072_2019-06-01_final
2019-08-06 11:18:24	ga_ls8c_ard_3-1-0_110070_2019-08-06_final
2019-10-10 10:25:52	ga_ls8c_ard_3-1-0_101077_2019-10-10_final
2019-10-11 11:07:32	ga_ls8c_ard_3-1-0_108073_2019-10-11_final
2019-10-23 11:32:40	ga_ls8c_ard_3-1-0_112074_2019-10-23_final
2019-10-25 11:17:31	ga_ls8c_ard_3-1-0_110067_2019-10-25_final
2019-11-29 10:11:27	ga_ls8c_ard_3-1-0_099072_2019-11-29_final
2019-11-29 10:14:38	ga_ls8c_ard_3-1-0_099080_2019-11-29_final
2020-01-05 10:30:16	ga_ls8c_ard_3-1-0_102073_2020-01-05_final
2020-01-16 10:14:29	ga_ls8c_ard_3-1-0_099080_2020-01-16_final
2020-02-07 11:12:59	ga_ls8c_ard_3-1-0_109072_2020-02-07_final
2020-02-14 11:23:56	ga_ls8c_ard_3-1-0_110084_2020-02-14_final
2020-04-02 11:23:35	ga_ls8c_ard_3-1-0_110084_2020-04-02_final
2020-04-25 11:23:13	ga_ls8c_ard_3-1-0_111068_2020-04-25_final
2020-07-17 10:21:34	ga_ls8c_ard_3-1-0_100083_2020-07-17_final
2020-07-27 10:52:19	ga_ls8c_ard_3-1-0_106067_2020-07-27_final
2020-08-13 11:35:39	ga_ls8c_ard_3-1-0_113067_2020-08-13_final
2020-08-24 09:45:54	ga_ls8c_ard_3-1-0_094086_2020-08-24_final
2020-09-06 10:48:24	ga_ls8c_ard_3-1-0_105072_2020-09-06_final
2020-10-30 10:14:14	ga_ls8c_ard_3-1-0_099079_2020-10-30_final
2020-10-31 10:55:54	ga_ls8c_ard_3-1-0_106075_2020-10-31_final
2020-11-19 11:29:11	ga_ls8c_ard_3-1-0_111081_2020-11-19_final
2020-12-14 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-12-14_final
2020-12-29 10:34:57	ga_ls8c_ard_3-2-0_103069_2020-12-29_final
2021-01-26 09:22:37	ga_ls8c_ard_3-2-0_091074_2021-01-25_final
2021-01-30 10:34:23	ga_ls8c_ard_3-2-0_103068_2021-01-30_final
2021-01-31 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-01-31_final
2021-04-14 09:33:44	ga_ls8c_ard_3-2-0_093072_2021-04-14_final
2021-04-16 09:19:46	ga_ls8c_ard_3-2-0_091068_2021-04-15_final
2021-05-11 09:17:02	ga_ls8c_ard_3-2-0_090077_2021-05-10_final
2021-06-06 11:31:15	ga_ls8c_ard_3-2-0_112072_2021-06-06_final
2021-06-15 09:44:15	ga_ls8c_ard_3-2-0_095067_2021-06-15_final
2021-08-09 11:30:47	ga_ls8c_ard_3-2-0_112070_2021-08-09_final
2021-09-04 10:29:54	ga_ls8c_ard_3-2-0_102072_2021-09-04_final
2021-11-22 09:46:21	ga_ls8c_ard_3-2-0_095071_2021-11-22_final
2021-11-29 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-29_final
2021-12-05 10:55:57	ga_ls8c_ard_3-2-1_106075_2021-12-05_final
2022-01-02 11:20:09	ga_ls8c_ard_3-2-1_110074_2022-01-02_final
2022-02-05 11:05:41	ga_ls8c_ard_3-2-1_108069_2022-02-05_final
2022-02-17 09:57:26	ga_ls8c_ard_3-2-1_096084_2022-02-17_final
2022-04-12 09:20:31	ga_ls8c_ard_3-2-1_090085_2022-04-11_final
2022-05-08 09:52:03	ga_ls8c_ard_3-2-1_096071_2022-05-08_final
2022-05-24 11:32:12	ga_ls8c_ard_3-2-1_112074_2022-05-24_final
2022-05-29 10:10:16	ga_ls8c_ard_3-2-1_099070_2022-05-29_final
2022-06-07 10:03:50	ga_ls8c_ard_3-2-1_098069_2022-06-07_final
2022-08-17 11:52:32	ga_ls8c_ard_3-2-1_115077_2022-08-17_final
2022-09-15 11:18:56	ga_ls8c_ard_3-2-1_110070_2022-09-15_final
2022-10-10 09:34:59	ga_ls8c_ard_3-2-1_093073_2022-10-10_final
2022-10-30 09:13:33	ga_ls8c_ard_3-2-1_089081_2022-10-29_final
2022-11-04 09:32:06	ga_ls8c_ard_3-2-1_092081_2022-11-04_final
2022-11-22 09:18:02	ga_ls8c_ard_3-2-1_090077_2022-11-21_final
2022-12-04 11:18:28	ga_ls8c_ard_3-2-1_110069_2022-12-04_final
2022-12-09 10:01:42	ga_ls8c_ard_3-2-1_097078_2022-12-09_final
2023-01-09 10:54:23	ga_ls8c_ard_3-2-1_106071_2023-01-09_final
2023-03-18 10:29:12	ga_ls8c_ard_3-2-1_102071_2023-03-18_final
2023-05-16 10:14:47	ga_ls8c_ard_3-2-1_099083_2023-05-16_final
2023-06-27 10:49:45	ga_ls8c_ard_3-2-1_105077_2023-06-27_final
2023-07-01 10:25:53	ga_ls8c_ard_3-2-1_101079_2023-07-01_final
2023-08-30 09:12:07	ga_ls8c_ard_3-2-1_089079_2023-08-29_final
2023-10-08 09:21:14	ga_ls8c_ard_3-2-1_090086_2023-10-07_final
2023-12-04 10:49:33	ga_ls8c_ard_3-2-1_105075_2023-12-04_final
2023-12-18 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-12-18_final
2024-01-10 09:27:59	ga_ls8c_ard_3-2-1_092072_2024-01-09_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