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
2013-05-21 11:00:24	ga_ls8c_ard_3-0-0_106082_2013-05-21_final
2013-06-14 10:05:20	ga_ls8c_ard_3-0-0_098068_2013-06-14_final
2013-10-11 10:15:48	ga_ls8c_ard_3-0-0_099079_2013-10-11_final
2013-10-25 10:27:14	ga_ls8c_ard_3-0-0_101077_2013-10-25_final
2014-02-08 11:05:55	ga_ls8c_ard_3-0-0_107083_2014-02-08_final
2014-02-20 11:24:53	ga_ls8c_ard_3-0-0_111069_2014-02-20_final
2014-02-28 10:40:06	ga_ls8c_ard_3-0-0_103081_2014-02-28_final
2014-06-21 09:39:32	ga_ls8c_ard_3-0-0_094071_2014-06-21_final
2014-12-25 11:00:16	ga_ls8c_ard_3-0-0_107071_2014-12-25_final
2015-01-22 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-01-22_final
2015-03-05 10:22:49	ga_ls8c_ard_3-0-0_101071_2015-03-05_final
2015-03-10 09:07:11	ga_ls8c_ard_3-0-0_088083_2015-03-09_final
2015-04-17 10:03:56	ga_ls8c_ard_3-0-0_098071_2015-04-17_final
2015-04-19 09:51:58	ga_ls8c_ard_3-0-0_096072_2015-04-19_final
2015-07-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2015-07-10_final
2015-09-23 11:04:56	ga_ls8c_ard_3-0-0_107083_2015-09-23_final
2015-10-01 10:13:08	ga_ls8c_ard_3-0-0_099077_2015-10-01_final
2015-12-11 10:17:01	ga_ls8c_ard_3-0-0_100071_2015-12-11_final
2016-01-02 11:17:13	ga_ls8c_ard_3-0-0_110067_2016-01-02_final
2016-02-10 09:46:48	ga_ls8c_ard_3-0-0_095073_2016-02-10_final
2016-02-29 10:19:36	ga_ls8c_ard_3-0-0_100078_2016-02-29_final
2016-05-31 09:05:59	ga_ls8c_ard_3-0-0_088080_2016-05-30_final
2016-06-13 10:10:01	ga_ls8c_ard_3-0-0_099070_2016-06-13_final
2016-06-17 11:23:24	ga_ls8c_ard_3-0-0_111068_2016-06-17_final
2016-06-23 10:46:23	ga_ls8c_ard_3-0-0_105068_2016-06-23_final
2016-08-14 10:25:56	ga_ls8c_ard_3-0-0_101078_2016-08-14_final
2016-10-01 10:25:43	ga_ls8c_ard_3-0-0_101077_2016-10-01_final
2016-10-21 09:57:55	ga_ls8c_ard_3-0-0_097069_2016-10-21_final
2016-10-28 10:04:30	ga_ls8c_ard_3-0-0_098070_2016-10-28_final
2016-11-14 10:49:44	ga_ls8c_ard_3-0-0_105075_2016-11-14_final
2016-12-02 10:35:23	ga_ls8c_ard_3-0-0_103070_2016-12-02_final
2017-02-24 10:13:48	ga_ls8c_ard_3-0-0_099079_2017-02-24_final
2017-03-05 10:07:10	ga_ls8c_ard_3-0-0_098078_2017-03-05_final
2017-04-15 09:58:13	ga_ls8c_ard_3-0-0_097072_2017-04-15_final
2017-07-02 10:10:30	ga_ls8c_ard_3-0-0_099071_2017-07-02_final
2017-07-16 10:25:19	ga_ls8c_ard_3-0-0_101077_2017-07-16_final
2017-08-21 10:04:02	ga_ls8c_ard_3-0-0_097085_2017-08-21_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2018-01-10 10:13:37	ga_ls8c_ard_3-0-0_099078_2018-01-10_final
2018-02-15 11:23:06	ga_ls8c_ard_3-0-0_111067_2018-02-15_final
2018-02-27 10:14:02	ga_ls8c_ard_3-0-0_099080_2018-02-27_final
2018-02-28 10:52:30	ga_ls8c_ard_3-0-0_106068_2018-02-28_final
2018-03-06 10:16:58	ga_ls8c_ard_3-0-0_100072_2018-03-06_final
2018-03-26 09:50:53	ga_ls8c_ard_3-0-0_096069_2018-03-26_final
2018-06-10 10:17:44	ga_ls8c_ard_3-0-0_100076_2018-06-10_final
2018-06-16 09:45:07	ga_ls8c_ard_3-0-0_094087_2018-06-16_final
2018-08-03 11:17:14	ga_ls8c_ard_3-0-0_110069_2018-08-03_final
2018-09-09 09:57:10	ga_ls8c_ard_3-0-0_097069_2018-09-09_final
2018-09-23 10:09:35	ga_ls8c_ard_3-0-0_099069_2018-09-23_final
2018-11-07 11:19:50	ga_ls8c_ard_3-0-0_110074_2018-11-07_final
2018-12-31 09:07:00	ga_ls8c_ard_3-0-0_088082_2018-12-30_final
2019-01-10 09:40:05	ga_ls8c_ard_3-0-0_094072_2019-01-10_final
2019-02-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2019-02-18_final
2019-02-27 11:18:00	ga_ls8c_ard_3-0-0_110070_2019-02-27_final
2019-03-10 11:04:35	ga_ls8c_ard_3-1-0_107083_2019-03-10_final
2019-03-24 11:11:18	ga_ls8c_ard_3-1-0_109069_2019-03-24_final
2019-03-31 11:18:15	ga_ls8c_ard_3-1-0_110071_2019-03-31_final
2019-06-20 10:25:20	ga_ls8c_ard_3-1-0_101077_2019-06-20_final
2019-07-30 11:14:10	ga_ls8c_ard_3-1-0_109075_2019-07-30_final
2019-11-18 10:33:35	ga_ls8c_ard_3-1-0_102081_2019-11-18_final
2019-11-28 11:08:16	ga_ls8c_ard_3-1-0_108075_2019-11-28_final
2020-02-14 09:40:16	ga_ls8c_ard_3-1-0_094072_2020-02-14_final
2020-02-17 10:10:21	ga_ls8c_ard_3-1-0_099070_2020-02-17_final
2020-02-26 10:07:43	ga_ls8c_ard_3-1-0_098079_2020-02-26_final
2020-04-09 09:45:39	ga_ls8c_ard_3-1-0_095071_2020-04-09_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-05-23 10:13:22	ga_ls8c_ard_3-1-0_099079_2020-05-23_final
2020-05-27 11:24:21	ga_ls8c_ard_3-1-0_111071_2020-05-27_final
2020-09-18 11:13:59	ga_ls8c_ard_3-1-0_109074_2020-09-18_final
2020-12-12 11:32:37	ga_ls8c_ard_3-1-0_112074_2020-12-12_final
2020-12-17 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-12-17_final
2021-01-08 11:11:58	ga_ls8c_ard_3-2-0_109069_2021-01-08_final
2021-05-03 10:06:52	ga_ls8c_ard_3-2-0_098078_2021-05-03_final
2021-05-04 09:11:38	ga_ls8c_ard_3-2-0_089079_2021-05-03_final
2021-05-10 10:09:51	ga_ls8c_ard_3-2-0_099070_2021-05-10_final
2021-06-11 11:52:13	ga_ls8c_ard_3-2-0_115078_2021-06-11_final
2021-06-25 10:25:21	ga_ls8c_ard_3-2-0_101077_2021-06-25_final
2021-07-15 09:57:29	ga_ls8c_ard_3-2-0_097069_2021-07-15_final
2021-10-05 11:24:52	ga_ls8c_ard_3-2-0_111070_2021-10-05_final
2022-03-23 11:17:45	ga_ls8c_ard_3-2-1_110069_2022-03-23_final
2022-04-04 11:46:46	ga_ls8c_ard_3-2-1_114080_2022-04-04_final
2022-05-03 11:13:56	ga_ls8c_ard_3-2-1_109075_2022-05-03_final
2022-05-13 11:52:19	ga_ls8c_ard_3-2-1_115078_2022-05-13_final
2022-05-28 09:34:10	ga_ls8c_ard_3-2-1_092088_2022-05-28_final
2022-07-25 10:07:17	ga_ls8c_ard_3-2-1_098077_2022-07-25_final
2022-08-17 10:10:27	ga_ls8c_ard_3-2-1_099069_2022-08-17_final
2022-09-27 10:03:12	ga_ls8c_ard_3-2-1_098066_2022-09-27_final
2022-09-27 10:05:12	ga_ls8c_ard_3-2-1_098071_2022-09-27_final
2022-10-03 11:11:46	ga_ls8c_ard_3-2-1_108083_2022-10-03_final
2022-10-24 11:24:42	ga_ls8c_ard_3-2-1_111069_2022-10-24_final
2023-01-12 11:24:51	ga_ls8c_ard_3-2-1_111070_2023-01-12_final
2023-02-20 09:57:57	ga_ls8c_ard_3-2-1_096085_2023-02-20_final
2023-03-17 09:51:08	ga_ls8c_ard_3-2-1_095084_2023-03-17_final
2023-04-04 11:14:15	ga_ls8c_ard_3-2-1_109076_2023-04-04_final
2023-04-30 10:08:13	ga_ls8c_ard_3-2-1_099066_2023-04-30_final
2023-06-10 10:01:58	ga_ls8c_ard_3-2-1_098066_2023-06-10_final
2023-08-31 09:58:10	ga_ls8c_ard_3-2-1_096086_2023-08-31_final
2023-09-21 10:10:00	ga_ls8c_ard_3-2-1_099069_2023-09-21_final
2023-10-15 09:22:15	ga_ls8c_ard_3-2-1_091073_2023-10-14_final
2023-11-24 10:13:22	ga_ls8c_ard_3-2-1_099077_2023-11-24_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