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
2013-07-08 10:57:34	ga_ls8c_ard_3-0-0_106075_2013-07-08_final
2013-09-09 10:12:45	ga_ls8c_ard_3-0-0_099071_2013-09-09_final
2013-09-26 10:56:15	ga_ls8c_ard_3-0-0_106072_2013-09-26_final
2013-10-04 10:11:37	ga_ls8c_ard_3-0-0_098084_2013-10-04_final
2013-12-08 10:51:25	ga_ls8c_ard_3-0-0_105076_2013-12-08_final
2014-01-10 09:51:51	ga_ls8c_ard_3-0-0_096067_2014-01-10_final
2014-04-13 11:04:11	ga_ls8c_ard_3-0-0_107081_2014-04-13_final
2014-04-18 09:45:44	ga_ls8c_ard_3-0-0_094086_2014-04-18_final
2014-04-25 11:23:08	ga_ls8c_ard_3-0-0_111067_2014-04-25_final
2014-05-08 10:52:01	ga_ls8c_ard_3-0-0_106067_2014-05-08_final
2014-07-14 09:46:40	ga_ls8c_ard_3-0-0_095073_2014-07-14_final
2014-07-19 10:07:13	ga_ls8c_ard_3-0-0_098078_2014-07-19_final
2014-10-19 10:28:18	ga_ls8c_ard_3-0-0_102068_2014-10-19_final
2015-02-12 10:06:22	ga_ls8c_ard_3-0-0_098076_2015-02-12_final
2015-02-17 10:25:17	ga_ls8c_ard_3-0-0_101077_2015-02-17_final
2015-06-08 11:16:20	ga_ls8c_ard_3-0-0_110067_2015-06-08_final
2015-08-03 10:28:05	ga_ls8c_ard_3-0-0_102069_2015-08-03_final
2015-10-05 11:24:31	ga_ls8c_ard_3-0-0_111070_2015-10-05_final
2015-12-13 10:04:40	ga_ls8c_ard_3-0-0_098071_2015-12-13_final
2016-01-23 10:04:02	ga_ls8c_ard_3-0-0_097085_2016-01-23_final
2016-02-10 09:52:23	ga_ls8c_ard_3-0-0_095087_2016-02-10_final
2016-04-01 10:16:57	ga_ls8c_ard_3-0-0_100072_2016-04-01_final
2016-04-26 10:15:02	ga_ls8c_ard_3-0-0_099083_2016-04-26_final
2016-04-29 10:45:35	ga_ls8c_ard_3-0-0_104082_2016-04-29_final
2016-05-01 10:33:16	ga_ls8c_ard_3-0-0_102082_2016-05-01_final
2016-06-22 10:03:06	ga_ls8c_ard_3-0-0_098068_2016-06-22_final
2016-08-23 10:22:13	ga_ls8c_ard_3-0-0_100084_2016-08-23_final
2016-09-14 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-14_final
2016-10-23 11:26:02	ga_ls8c_ard_3-0-0_111073_2016-10-23_final
2016-12-19 09:40:04	ga_ls8c_ard_3-0-0_094071_2016-12-19_final
2017-05-19 11:23:58	ga_ls8c_ard_3-0-0_111070_2017-05-19_final
2017-06-25 10:07:53	ga_ls8c_ard_3-0-0_098080_2017-06-25_final
2017-07-08 09:39:50	ga_ls8c_ard_3-0-0_093087_2017-07-08_final
2017-07-10 11:03:58	ga_ls8c_ard_3-0-0_107081_2017-07-10_final
2017-12-14 10:29:50	ga_ls8c_ard_3-0-0_102072_2017-12-14_final
2017-12-23 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-12-23_final
2017-12-25 10:08:55	ga_ls8c_ard_3-2-1_099066_2017-12-25_final
2018-01-04 10:49:08	ga_ls8c_ard_3-0-0_105074_2018-01-04_final
2018-03-03 11:24:11	ga_ls8c_ard_3-0-0_111070_2018-03-03_final
2018-05-22 11:23:01	ga_ls8c_ard_3-0-0_111069_2018-05-22_final
2018-06-29 10:48:02	ga_ls8c_ard_3-0-0_105074_2018-06-29_final
2018-07-31 10:48:41	ga_ls8c_ard_3-0-0_105075_2018-07-31_final
2018-10-09 10:10:31	ga_ls8c_ard_3-0-0_099071_2018-10-09_final
2018-10-16 10:18:45	ga_ls8c_ard_3-0-0_100076_2018-10-16_final
2018-12-25 11:19:47	ga_ls8c_ard_3-0-0_110074_2018-12-25_final
2019-02-12 10:25:14	ga_ls8c_ard_3-0-0_101077_2019-02-12_final
2019-03-29 09:52:56	ga_ls8c_ard_3-1-0_096074_2019-03-29_final
2019-04-16 09:39:17	ga_ls8c_ard_3-1-0_094071_2019-04-16_final
2019-08-11 11:37:46	ga_ls8c_ard_3-1-0_113072_2019-08-11_final
2019-10-28 11:52:48	ga_ls8c_ard_3-1-0_115078_2019-10-28_final
2019-12-10 09:58:29	ga_ls8c_ard_3-1-0_096086_2019-12-10_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-01-17 10:53:21	ga_ls8c_ard_3-1-0_106069_2020-01-17_final
2020-06-12 11:27:18	ga_ls8c_ard_3-1-0_111078_2020-06-12_final
2020-08-12 10:53:10	ga_ls8c_ard_3-1-0_106069_2020-08-12_final
2020-08-28 09:22:01	ga_ls8c_ard_3-1-0_090088_2020-08-27_final
2020-09-29 10:55:53	ga_ls8c_ard_3-1-0_106075_2020-09-29_final
2020-10-24 10:49:44	ga_ls8c_ard_3-1-0_105075_2020-10-24_final
2020-10-24 10:50:08	ga_ls8c_ard_3-1-0_105076_2020-10-24_final
2020-11-28 09:40:58	ga_ls8c_ard_3-1-0_094073_2020-11-28_final
2020-12-19 09:58:18	ga_ls8c_ard_3-2-0_097070_2020-12-19_final
2021-02-27 09:22:29	ga_ls8c_ard_3-2-0_091074_2021-02-26_final
2021-06-03 11:04:43	ga_ls8c_ard_3-2-0_107083_2021-06-03_final
2021-10-05 09:51:58	ga_ls8c_ard_3-2-0_095085_2021-10-05_final
2021-10-19 10:03:59	ga_ls8c_ard_3-2-0_097084_2021-10-19_final
2021-12-21 09:22:13	ga_ls8c_ard_3-2-1_090088_2021-12-20_final
2022-01-04 11:11:23	ga_ls8c_ard_3-2-1_108083_2022-01-04_final
2022-01-11 09:35:05	ga_ls8c_ard_3-2-1_093074_2022-01-11_final
2022-01-25 09:50:57	ga_ls8c_ard_3-2-1_095083_2022-01-25_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-02-01 09:57:07	ga_ls8c_ard_3-2-1_096083_2022-02-01_final
2022-02-13 10:18:59	ga_ls8c_ard_3-2-1_100076_2022-02-13_final
2022-03-31 10:29:00	ga_ls8c_ard_3-2-1_102071_2022-03-31_final
2022-04-23 10:35:39	ga_ls8c_ard_3-2-1_103072_2022-04-23_final
2022-04-30 10:45:47	ga_ls8c_ard_3-2-1_104082_2022-04-30_final
2022-05-10 11:23:47	ga_ls8c_ard_3-2-1_110084_2022-05-10_final
2022-07-08 09:22:43	ga_ls8c_ard_3-2-1_091074_2022-07-07_final
2022-08-15 10:25:36	ga_ls8c_ard_3-2-1_101076_2022-08-15_final
2022-08-27 10:50:20	ga_ls8c_ard_3-2-1_105076_2022-08-27_final
2022-09-07 10:33:26	ga_ls8c_ard_3-2-1_102080_2022-09-07_final
2022-09-20 11:39:06	ga_ls8c_ard_3-2-1_113074_2022-09-20_final
2022-09-25 10:20:45	ga_ls8c_ard_3-2-1_100079_2022-09-25_final
2022-11-02 11:20:57	ga_ls8c_ard_3-2-1_110075_2022-11-02_final
2022-11-15 10:49:57	ga_ls8c_ard_3-2-1_105075_2022-11-15_final
2022-11-20 11:08:28	ga_ls8c_ard_3-2-1_108075_2022-11-20_final
2022-11-29 09:22:15	ga_ls8c_ard_3-2-1_091072_2022-11-28_final
2023-01-25 09:17:28	ga_ls8c_ard_3-2-1_090076_2023-01-24_final
2023-03-08 11:32:15	ga_ls8c_ard_3-2-1_112074_2023-03-08_final
2023-03-26 09:40:03	ga_ls8c_ard_3-2-1_094072_2023-03-26_final
2023-05-01 10:55:03	ga_ls8c_ard_3-2-1_106075_2023-05-01_final
2023-05-09 10:02:42	ga_ls8c_ard_3-2-1_098068_2023-05-09_final
2023-07-05 11:40:30	ga_ls8c_ard_3-2-1_113080_2023-07-05_final
2023-07-07 11:29:21	ga_ls8c_ard_3-2-1_111083_2023-07-07_final
2023-08-03 09:28:31	ga_ls8c_ard_3-2-1_092074_2023-08-02_final
2023-09-09 11:24:29	ga_ls8c_ard_3-2-1_111070_2023-09-09_final
2023-10-08 09:17:38	ga_ls8c_ard_3-2-1_090077_2023-10-07_final
2023-11-05 11:20:30	ga_ls8c_ard_3-2-1_110075_2023-11-05_final
2023-11-13 10:30:14	ga_ls8c_ard_3-2-1_102073_2023-11-13_final
2024-02-03 10:22:10	ga_ls8c_ard_3-2-1_100084_2024-02-03_final
2024-02-28 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-02-28_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