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
2013-04-19 10:57:23	ga_ls8c_ard_3-0-0_106075_2013-04-19_final
2013-04-24 11:16:17	ga_ls8c_ard_3-0-0_109076_2013-04-24_final
2013-07-30 10:19:42	ga_ls8c_ard_3-0-0_100073_2013-07-30_final
2013-08-04 10:37:51	ga_ls8c_ard_3-0-0_103072_2013-08-04_final
2013-08-28 11:26:08	ga_ls8c_ard_3-0-0_111069_2013-08-28_final
2013-09-10 10:59:11	ga_ls8c_ard_3-0-0_106079_2013-09-10_final
2014-04-21 10:12:37	ga_ls8c_ard_3-0-0_099076_2014-04-21_final
2014-05-04 09:37:54	ga_ls8c_ard_3-0-0_094067_2014-05-04_final
2014-05-14 10:21:15	ga_ls8c_ard_3-0-0_100083_2014-05-14_final
2014-05-20 09:42:56	ga_ls8c_ard_3-0-0_094080_2014-05-20_final
2014-05-29 11:16:29	ga_ls8c_ard_3-0-0_109082_2014-05-29_final
2014-10-19 10:29:30	ga_ls8c_ard_3-0-0_102071_2014-10-19_final
2014-12-08 10:19:26	ga_ls8c_ard_3-0-0_100077_2014-12-08_final
2015-06-05 10:48:59	ga_ls8c_ard_3-0-0_105076_2015-06-05_final
2015-09-09 10:48:53	ga_ls8c_ard_3-0-0_105074_2015-09-09_final
2015-10-25 11:03:27	ga_ls8c_ard_3-0-0_107079_2015-10-25_final
2015-11-02 10:11:14	ga_ls8c_ard_3-0-0_099072_2015-11-02_final
2015-12-26 11:12:40	ga_ls8c_ard_3-0-0_109071_2015-12-26_final
2016-02-26 09:45:30	ga_ls8c_ard_3-0-0_095070_2016-02-26_final
2016-03-28 09:06:50	ga_ls8c_ard_3-0-0_088082_2016-03-27_final
2016-09-17 10:15:45	ga_ls8c_ard_3-0-0_099083_2016-09-17_final
2016-09-17 11:52:38	ga_ls8c_ard_3-0-0_115078_2016-09-17_final
2016-09-30 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-30_final
2016-10-01 10:26:07	ga_ls8c_ard_3-0-0_101078_2016-10-01_final
2017-03-03 10:18:44	ga_ls8c_ard_3-0-0_100076_2017-03-03_final
2017-03-17 10:28:58	ga_ls8c_ard_3-0-0_102071_2017-03-17_final
2017-07-04 11:35:26	ga_ls8c_ard_3-0-0_113067_2017-07-04_final
2017-07-14 10:39:39	ga_ls8c_ard_3-0-0_103082_2017-07-14_final
2017-07-22 11:23:35	ga_ls8c_ard_3-0-0_111068_2017-07-22_final
2017-10-12 11:14:24	ga_ls8c_ard_3-0-0_109075_2017-10-12_final
2017-10-29 10:20:00	ga_ls8c_ard_3-0-0_100078_2017-10-29_final
2018-02-01 11:13:12	ga_ls8c_ard_3-0-0_109073_2018-02-01_final
2018-03-06 10:18:57	ga_ls8c_ard_3-0-0_100077_2018-03-06_final
2019-01-23 10:48:48	ga_ls8c_ard_3-0-0_105074_2019-01-23_final
2019-03-01 11:07:14	ga_ls8c_ard_3-0-0_108074_2019-03-01_final
2019-03-22 11:26:28	ga_ls8c_ard_3-1-0_111076_2019-03-22_final
2019-04-03 10:10:39	ga_ls8c_ard_3-1-0_099072_2019-04-03_final
2019-05-04 11:07:47	ga_ls8c_ard_3-0-0_108076_2019-05-04_final
2019-05-24 09:06:23	ga_ls8c_ard_3-0-0_088081_2019-05-23_final
2019-05-31 10:49:31	ga_ls8c_ard_3-0-0_105076_2019-05-31_final
2019-06-06 10:12:53	ga_ls8c_ard_3-0-0_099077_2019-06-06_final
2019-06-09 10:42:37	ga_ls8c_ard_3-0-0_104074_2019-06-09_final
2019-07-11 09:07:28	ga_ls8c_ard_3-1-0_088083_2019-07-10_final
2019-09-01 10:19:06	ga_ls8c_ard_3-1-0_100076_2019-09-01_final
2019-10-01 10:28:49	ga_ls8c_ard_3-1-0_102069_2019-10-01_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2019-12-05 11:13:38	ga_ls8c_ard_3-1-0_109073_2019-12-05_final
2019-12-22 10:19:10	ga_ls8c_ard_3-1-0_100076_2019-12-22_final
2020-02-08 10:19:45	ga_ls8c_ard_3-1-0_100078_2020-02-08_final
2020-02-27 10:49:47	ga_ls8c_ard_3-1-0_105076_2020-02-27_final
2020-03-30 10:48:19	ga_ls8c_ard_3-1-0_105073_2020-03-30_final
2020-04-15 10:47:48	ga_ls8c_ard_3-1-0_105072_2020-04-15_final
2020-04-15 10:49:24	ga_ls8c_ard_3-1-0_105076_2020-04-15_final
2020-05-06 11:06:57	ga_ls8c_ard_3-1-0_108074_2020-05-06_final
2020-06-11 09:05:56	ga_ls8c_ard_3-1-0_088080_2020-06-10_final
2020-07-17 10:19:35	ga_ls8c_ard_3-1-0_100078_2020-07-17_final
2020-08-03 11:04:07	ga_ls8c_ard_3-1-0_107081_2020-08-03_final
2020-08-05 10:52:09	ga_ls8c_ard_3-1-0_105082_2020-08-05_final
2020-10-25 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-10-25_final
2020-10-31 10:55:54	ga_ls8c_ard_3-1-0_106075_2020-10-31_final
2020-12-05 11:29:14	ga_ls8c_ard_3-1-0_111081_2020-12-05_final
2020-12-10 11:46:11	ga_ls8c_ard_3-1-0_114077_2020-12-10_final
2020-12-18 09:21:26	ga_ls8c_ard_3-2-0_090086_2020-12-17_final
2021-01-18 10:10:05	ga_ls8c_ard_3-2-0_099069_2021-01-18_final
2021-05-07 11:22:59	ga_ls8c_ard_3-2-0_110083_2021-05-07_final
2021-08-06 09:27:22	ga_ls8c_ard_3-2-0_091086_2021-08-05_final
2021-08-29 09:32:04	ga_ls8c_ard_3-2-0_092082_2021-08-29_final
2021-09-23 09:22:23	ga_ls8c_ard_3-2-0_091073_2021-09-22_final
2021-10-12 11:35:52	ga_ls8c_ard_3-2-0_112082_2021-10-12_final
2021-10-15 10:27:30	ga_ls8c_ard_3-2-0_101081_2021-10-15_final
2021-11-22 11:24:02	ga_ls8c_ard_3-2-0_111068_2021-11-22_final
2021-11-28 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-28_final
2021-12-03 11:11:54	ga_ls8c_ard_3-2-0_108084_2021-12-03_final
2021-12-12 11:02:31	ga_ls8c_ard_3-2-1_107076_2021-12-12_final
2022-01-12 10:18:44	ga_ls8c_ard_3-2-1_100075_2022-01-12_final
2022-02-12 11:12:14	ga_ls8c_ard_3-2-1_109070_2022-02-12_final
2022-03-07 09:41:01	ga_ls8c_ard_3-2-1_094074_2022-03-07_final
2022-03-16 11:11:39	ga_ls8c_ard_3-2-1_109069_2022-03-16_final
2022-04-29 09:57:19	ga_ls8c_ard_3-2-1_097069_2022-04-29_final
2022-05-25 10:35:47	ga_ls8c_ard_3-2-1_103072_2022-05-25_final
2022-06-18 09:52:11	ga_ls8c_ard_3-2-1_095086_2022-06-18_final
2022-08-18 09:17:14	ga_ls8c_ard_3-2-1_090075_2022-08-17_final
2022-08-27 10:48:21	ga_ls8c_ard_3-2-1_105071_2022-08-27_final
2022-09-22 11:24:44	ga_ls8c_ard_3-2-1_111069_2022-09-22_final
2022-11-20 09:34:22	ga_ls8c_ard_3-2-1_092087_2022-11-20_final
2022-12-09 11:42:35	ga_ls8c_ard_3-2-1_113083_2022-12-09_final
2023-01-16 09:21:59	ga_ls8c_ard_3-2-1_091072_2023-01-15_final
2023-02-15 09:39:30	ga_ls8c_ard_3-2-1_093085_2023-02-15_final
2023-06-11 10:48:50	ga_ls8c_ard_3-2-1_105075_2023-06-11_final
2023-08-04 10:09:23	ga_ls8c_ard_3-2-1_099068_2023-08-04_final
2023-08-04 10:10:59	ga_ls8c_ard_3-2-1_099072_2023-08-04_final
2023-08-05 09:16:33	ga_ls8c_ard_3-2-1_090075_2023-08-04_final
2023-09-09 11:24:29	ga_ls8c_ard_3-2-1_111070_2023-09-09_final
2023-09-29 09:21:48	ga_ls8c_ard_3-2-1_091072_2023-09-28_final
2023-10-13 11:14:41	ga_ls8c_ard_3-2-1_109076_2023-10-13_final
2023-10-20 11:20:26	ga_ls8c_ard_3-2-1_110075_2023-10-20_final
2023-11-19 09:58:00	ga_ls8c_ard_3-2-1_096085_2023-11-19_final
2023-12-20 10:47:38	ga_ls8c_ard_3-2-1_105070_2023-12-20_final
2024-01-22 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-22_final
2024-02-29 10:53:35	ga_ls8c_ard_3-2-1_106070_2024-02-29_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