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
2013-10-10 11:09:26	ga_ls8c_ard_3-0-0_108074_2013-10-10_final
2013-10-26 11:09:41	ga_ls8c_ard_3-0-0_108075_2013-10-26_final
2014-01-28 11:23:48	ga_ls8c_ard_3-0-0_110081_2014-01-28_final
2014-08-03 11:01:21	ga_ls8c_ard_3-0-0_107074_2014-08-03_final
2014-08-11 11:52:51	ga_ls8c_ard_3-0-0_115079_2014-08-11_final
2014-09-06 10:49:32	ga_ls8c_ard_3-0-0_105075_2014-09-06_final
2014-10-27 11:19:42	ga_ls8c_ard_3-0-0_110073_2014-10-27_final
2014-11-08 11:42:04	ga_ls8c_ard_3-0-0_114067_2014-11-08_final
2014-12-09 11:00:17	ga_ls8c_ard_3-0-0_107071_2014-12-09_final
2015-06-10 11:09:35	ga_ls8c_ard_3-0-0_108081_2015-06-10_final
2015-06-15 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-06-15_final
2015-06-28 10:56:56	ga_ls8c_ard_3-0-0_106080_2015-06-28_final
2015-12-01 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-01_final
2015-12-02 10:26:01	ga_ls8c_ard_3-0-0_101078_2015-12-02_final
2015-12-04 11:51:45	ga_ls8c_ard_3-0-0_115076_2015-12-04_final
2015-12-08 11:26:36	ga_ls8c_ard_3-0-0_111075_2015-12-08_final
2015-12-24 09:44:33	ga_ls8c_ard_3-0-0_095067_2015-12-24_final
2015-12-25 10:28:36	ga_ls8c_ard_3-0-0_102069_2015-12-25_final
2016-01-02 09:40:19	ga_ls8c_ard_3-0-0_094072_2016-01-02_final
2016-04-17 10:16:53	ga_ls8c_ard_3-0-0_100072_2016-04-17_final
2016-06-03 11:17:23	ga_ls8c_ard_3-0-0_109084_2016-06-03_final
2016-07-22 10:16:53	ga_ls8c_ard_3-0-0_100071_2016-07-22_final
2016-08-13 11:20:21	ga_ls8c_ard_3-0-0_110075_2016-08-13_final
2016-09-08 11:58:24	ga_ls8c_ard_3-0-0_116077_2016-09-08_final
2016-11-02 10:23:50	ga_ls8c_ard_3-1-0_101072_2016-11-02_final
2016-11-12 11:02:05	ga_ls8c_ard_3-0-0_107075_2016-11-12_final
2017-01-19 10:34:23	ga_ls8c_ard_3-0-0_103068_2017-01-19_final
2017-01-27 09:46:05	ga_ls8c_ard_3-0-0_095071_2017-01-27_final
2017-03-16 11:23:48	ga_ls8c_ard_3-0-0_111069_2017-03-16_final
2017-03-23 11:35:05	ga_ls8c_ard_3-0-0_112082_2017-03-23_final
2017-04-03 11:13:41	ga_ls8c_ard_3-1-0_109075_2017-04-03_final
2017-05-03 11:24:10	ga_ls8c_ard_3-0-0_111071_2017-05-03_final
2017-05-22 10:20:48	ga_ls8c_ard_3-0-0_100082_2017-05-22_final
2017-07-30 10:38:11	ga_ls8c_ard_3-0-0_103078_2017-07-30_final
2017-09-17 11:20:02	ga_ls8c_ard_3-0-0_110074_2017-09-17_final
2017-09-24 09:46:59	ga_ls8c_ard_3-0-0_095073_2017-09-24_final
2017-09-27 11:58:47	ga_ls8c_ard_3-0-0_116078_2017-09-27_final
2017-12-12 09:06:29	ga_ls8c_ard_3-0-0_088080_2017-12-11_final
2018-03-17 11:41:11	ga_ls8c_ard_3-0-0_113082_2018-03-17_final
2018-03-23 11:01:17	ga_ls8c_ard_3-0-0_107075_2018-03-23_final
2018-04-29 11:19:53	ga_ls8c_ard_3-0-0_110076_2018-04-29_final
2018-07-22 10:57:35	ga_ls8c_ard_3-0-0_106082_2018-07-22_final
2018-08-06 10:14:52	ga_ls8c_ard_3-0-0_099083_2018-08-06_final
2018-08-26 09:47:07	ga_ls8c_ard_3-0-0_095075_2018-08-26_final
2018-08-26 11:23:36	ga_ls8c_ard_3-0-0_111069_2018-08-26_final
2018-09-30 10:17:50	ga_ls8c_ard_3-0-0_100074_2018-09-30_final
2018-10-02 11:41:35	ga_ls8c_ard_3-0-0_114067_2018-10-02_final
2018-12-15 09:07:24	ga_ls8c_ard_3-0-0_088083_2018-12-14_final
2019-01-03 11:13:12	ga_ls8c_ard_3-0-0_109073_2019-01-03_final
2019-04-23 11:23:54	ga_ls8c_ard_3-0-0_111070_2019-04-23_final
2019-05-16 11:29:03	ga_ls8c_ard_3-0-0_112067_2019-05-16_final
2019-07-03 11:32:11	ga_ls8c_ard_3-1-0_112074_2019-07-03_final
2019-09-26 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-09-26_final
2019-10-06 10:50:10	ga_ls8c_ard_3-1-0_105076_2019-10-06_final
2019-11-12 11:07:54	ga_ls8c_ard_3-1-0_108074_2019-11-12_final
2019-11-16 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-11-15_final
2019-12-25 10:48:04	ga_ls8c_ard_3-1-0_105071_2019-12-25_final
2020-03-22 11:37:27	ga_ls8c_ard_3-1-0_113072_2020-03-22_final
2020-04-14 11:45:50	ga_ls8c_ard_3-1-0_114078_2020-04-14_final
2020-05-23 11:51:27	ga_ls8c_ard_3-1-0_115077_2020-05-23_final
2020-06-06 10:27:26	ga_ls8c_ard_3-1-0_101083_2020-06-06_final
2020-07-30 09:51:56	ga_ls8c_ard_3-1-0_095086_2020-07-30_final
2020-08-17 11:12:33	ga_ls8c_ard_3-1-0_109071_2020-08-17_final
2020-10-17 09:07:04	ga_ls8c_ard_3-1-0_088081_2020-10-16_final
2020-10-30 11:51:56	ga_ls8c_ard_3-1-0_115076_2020-10-30_final
2020-11-21 11:14:50	ga_ls8c_ard_3-1-0_109076_2020-11-21_final
2021-01-21 10:40:34	ga_ls8c_ard_3-2-0_104068_2021-01-21_final
2021-04-28 09:46:23	ga_ls8c_ard_3-2-0_095073_2021-04-28_final
2021-06-07 10:35:38	ga_ls8c_ard_3-2-0_103072_2021-06-07_final
2021-06-24 11:24:10	ga_ls8c_ard_3-2-0_110085_2021-06-24_final
2021-07-14 09:20:36	ga_ls8c_ard_3-2-0_090085_2021-07-13_final
2021-07-24 11:29:28	ga_ls8c_ard_3-2-0_112067_2021-07-24_final
2021-07-24 11:30:40	ga_ls8c_ard_3-2-0_112070_2021-07-24_final
2021-10-07 11:12:55	ga_ls8c_ard_3-2-0_109071_2021-10-07_final
2021-10-11 10:50:13	ga_ls8c_ard_3-2-0_105076_2021-10-11_final
2021-10-14 09:41:26	ga_ls8c_ard_3-2-0_094074_2021-10-14_final
2021-11-04 10:03:58	ga_ls8c_ard_3-2-0_097084_2021-11-04_final
2021-11-08 09:38:02	ga_ls8c_ard_3-2-0_093081_2021-11-08_final
2021-12-01 11:20:16	ga_ls8c_ard_3-2-0_110074_2021-12-01_final
2021-12-07 10:43:35	ga_ls8c_ard_3-2-1_104075_2021-12-07_final
2022-01-25 11:26:15	ga_ls8c_ard_3-2-1_111074_2022-01-25_final
2022-02-01 11:36:24	ga_ls8c_ard_3-2-1_112084_2022-02-01_final
2022-02-14 09:28:57	ga_ls8c_ard_3-2-1_091090_2022-02-13_final
2022-02-18 10:39:53	ga_ls8c_ard_3-2-1_103082_2022-02-18_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-04-03 09:28:36	ga_ls8c_ard_3-2-1_091090_2022-04-02_final
2022-05-06 10:09:11	ga_ls8c_ard_3-2-1_098083_2022-05-06_final
2022-06-13 09:28:49	ga_ls8c_ard_3-2-1_092074_2022-06-12_final
2022-09-29 11:35:18	ga_ls8c_ard_3-2-1_112080_2022-09-29_final
2022-10-03 11:08:34	ga_ls8c_ard_3-2-1_108075_2022-10-03_final
2022-10-20 10:09:42	ga_ls8c_ard_3-2-1_099067_2022-10-20_final
2022-11-24 09:06:53	ga_ls8c_ard_3-2-1_088080_2022-11-23_final
2022-12-11 09:52:55	ga_ls8c_ard_3-2-1_095087_2022-12-11_final
2023-01-31 10:17:41	ga_ls8c_ard_3-2-1_100072_2023-01-31_final
2023-04-21 10:21:36	ga_ls8c_ard_3-2-1_100084_2023-04-21_final
2023-05-15 09:33:07	ga_ls8c_ard_3-2-1_092087_2023-05-15_final
2023-05-16 11:52:04	ga_ls8c_ard_3-2-1_115079_2023-05-16_final
2023-05-18 10:03:12	ga_ls8c_ard_3-2-1_097085_2023-05-18_final
2023-08-15 09:57:17	ga_ls8c_ard_3-2-1_096084_2023-08-15_final
2024-02-11 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-02-10_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