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
2013-09-13 11:27:41	ga_ls8c_ard_3-0-0_111073_2013-09-13_final
2014-03-01 11:24:32	ga_ls8c_ard_3-0-0_110084_2014-03-01_final
2015-03-07 11:51:42	ga_ls8c_ard_3-0-0_115077_2015-03-07_final
2015-03-13 11:11:20	ga_ls8c_ard_3-0-0_109069_2015-03-13_final
2016-01-07 11:39:42	ga_ls8c_ard_3-0-0_113077_2016-01-07_final
2016-02-28 11:12:25	ga_ls8c_ard_3-0-0_109071_2016-02-28_final
2016-04-21 11:31:48	ga_ls8c_ard_3-0-0_112074_2016-04-21_final
2017-03-28 11:52:00	ga_ls8c_ard_3-0-0_115078_2017-03-28_final
2017-04-01 11:24:28	ga_ls8c_ard_3-0-0_111071_2017-04-01_final
2017-04-26 11:17:15	ga_ls8c_ard_3-0-0_110069_2017-04-26_final
2017-05-10 11:30:02	ga_ls8c_ard_3-0-0_112070_2017-05-10_final
2017-07-01 11:06:07	ga_ls8c_ard_3-0-0_108071_2017-07-01_final
2017-09-26 11:17:31	ga_ls8c_ard_3-0-0_109083_2017-09-26_final
2017-12-29 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-12-29_final
2018-01-30 11:23:12	ga_ls8c_ard_3-0-0_111067_2018-01-30_final
2018-04-13 11:20:02	ga_ls8c_ard_3-0-0_110076_2018-04-13_final
2018-06-07 11:24:29	ga_ls8c_ard_3-0-0_111073_2018-06-07_final
2018-08-26 11:22:49	ga_ls8c_ard_3-0-0_111067_2018-08-26_final
2018-11-16 11:12:28	ga_ls8c_ard_3-0-0_109071_2018-11-16_final
2018-11-21 11:29:24	ga_ls8c_ard_3-0-0_112067_2018-11-21_final
2019-07-05 11:21:25	ga_ls8c_ard_3-1-0_110078_2019-07-05_final
2019-08-13 11:23:25	ga_ls8c_ard_3-1-0_111067_2019-08-13_final
2019-08-25 11:52:35	ga_ls8c_ard_3-1-0_115078_2019-08-25_final
2019-09-12 11:38:42	ga_ls8c_ard_3-1-0_113074_2019-09-12_final
2019-11-28 11:07:52	ga_ls8c_ard_3-1-0_108074_2019-11-28_final
2019-12-15 10:14:13	ga_ls8c_ard_3-2-0_099079_2019-12-15_final
2019-12-16 09:22:59	ga_ls8c_ard_3-2-0_090090_2019-12-15_final
2020-07-14 11:25:57	ga_ls8c_ard_3-1-0_111074_2020-07-14_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-08-29 11:42:10	ga_ls8c_ard_3-1-0_113083_2020-08-29_final
2020-10-11 11:20:38	ga_ls8c_ard_3-1-0_110075_2020-10-11_final
2020-11-15 11:52:41	ga_ls8c_ard_3-1-0_115078_2020-11-15_final
2020-11-17 11:38:44	ga_ls8c_ard_3-1-0_113074_2020-11-17_final
2020-12-14 11:24:39	ga_ls8c_ard_3-1-0_110085_2020-12-14_final
2020-12-16 09:28:12	ga_ls8c_ard_3-1-0_092072_2020-12-15_final
2021-01-12 09:12:43	ga_ls8c_ard_3-2-0_089080_2021-01-11_final
2021-01-12 10:47:13	ga_ls8c_ard_3-2-0_105069_2021-01-12_final
2021-01-21 09:06:53	ga_ls8c_ard_3-2-0_088081_2021-01-20_final
2021-03-02 11:29:27	ga_ls8c_ard_3-2-0_112067_2021-03-02_final
2021-03-08 09:17:01	ga_ls8c_ard_3-2-0_090076_2021-03-07_final
2021-03-12 10:30:21	ga_ls8c_ard_3-2-0_102074_2021-03-12_final
2021-03-20 09:40:02	ga_ls8c_ard_3-2-0_094072_2021-03-20_final
2021-03-31 09:22:16	ga_ls8c_ard_3-2-0_091074_2021-03-30_final
2021-04-02 09:11:29	ga_ls8c_ard_3-2-0_089078_2021-04-01_final
2021-04-09 09:16:50	ga_ls8c_ard_3-2-0_090076_2021-04-08_final
2021-04-09 09:21:37	ga_ls8c_ard_3-2-0_090088_2021-04-08_final
2021-04-09 09:22:25	ga_ls8c_ard_3-2-0_090090_2021-04-08_final
2021-04-13 10:33:22	ga_ls8c_ard_3-2-0_102082_2021-04-13_final
2021-04-17 10:03:25	ga_ls8c_ard_3-2-0_098069_2021-04-17_final
2021-04-18 09:12:59	ga_ls8c_ard_3-2-0_089082_2021-04-17_final
2021-04-20 10:35:30	ga_ls8c_ard_3-2-0_103072_2021-04-20_final
2021-06-11 10:10:56	ga_ls8c_ard_3-2-0_099072_2021-06-11_final
2021-06-18 10:16:45	ga_ls8c_ard_3-2-0_100071_2021-06-18_final
2021-06-18 10:21:57	ga_ls8c_ard_3-2-0_100084_2021-06-18_final
2021-06-22 09:52:03	ga_ls8c_ard_3-2-0_096071_2021-06-22_final
2021-06-27 10:09:25	ga_ls8c_ard_3-2-0_099068_2021-06-27_final
2021-06-29 11:41:32	ga_ls8c_ard_3-2-0_113082_2021-06-29_final
2021-07-09 10:34:09	ga_ls8c_ard_3-2-0_103068_2021-07-09_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-08-25 11:32:27	ga_ls8c_ard_3-2-0_112074_2021-08-25_final
2021-09-02 10:41:04	ga_ls8c_ard_3-2-0_104069_2021-09-02_final
2021-09-16 10:53:28	ga_ls8c_ard_3-2-0_106069_2021-09-16_final
2021-09-29 10:26:13	ga_ls8c_ard_3-2-0_101078_2021-09-29_final
2021-10-04 09:07:30	ga_ls8c_ard_3-2-0_088082_2021-10-03_final
2021-10-07 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-10-07_final
2021-10-18 10:55:37	ga_ls8c_ard_3-2-0_106074_2021-10-18_final
2021-10-27 10:50:14	ga_ls8c_ard_3-2-0_105076_2021-10-27_final
2021-11-11 10:03:44	ga_ls8c_ard_3-2-0_098068_2021-11-11_final
2021-11-18 10:11:27	ga_ls8c_ard_3-2-0_099072_2021-11-18_final
2021-12-23 10:46:19	ga_ls8c_ard_3-2-1_104082_2021-12-23_final
2022-01-10 10:29:06	ga_ls8c_ard_3-2-1_102070_2022-01-10_final
2022-01-13 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-01-12_final
2022-02-10 11:25:00	ga_ls8c_ard_3-2-1_111071_2022-02-10_final
2022-02-16 09:14:59	ga_ls8c_ard_3-2-1_089086_2022-02-15_final
2022-03-02 09:28:29	ga_ls8c_ard_3-2-1_091089_2022-03-01_final
2022-03-17 10:18:01	ga_ls8c_ard_3-2-1_100074_2022-03-17_final
2022-03-22 10:34:06	ga_ls8c_ard_3-2-1_103068_2022-03-22_final
2022-03-28 09:57:44	ga_ls8c_ard_3-2-1_097070_2022-03-28_final
2022-05-13 10:11:02	ga_ls8c_ard_3-2-1_099072_2022-05-13_final
2022-07-20 09:51:05	ga_ls8c_ard_3-2-1_095083_2022-07-20_final
2022-08-27 09:13:03	ga_ls8c_ard_3-2-1_089080_2022-08-26_final
2022-11-11 09:39:02	ga_ls8c_ard_3-2-1_093083_2022-11-11_final
2022-12-22 09:29:26	ga_ls8c_ard_3-2-1_092075_2022-12-21_final
2022-12-22 11:09:55	ga_ls8c_ard_3-2-1_108079_2022-12-22_final
2023-01-01 10:07:45	ga_ls8c_ard_3-2-1_098078_2023-01-01_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-19 10:50:00	ga_ls8c_ard_3-2-1_105076_2023-02-19_final
2023-03-24 09:58:00	ga_ls8c_ard_3-2-1_096086_2023-03-24_final
2023-05-09 10:03:54	ga_ls8c_ard_3-2-1_098071_2023-05-09_final
2023-05-13 11:22:47	ga_ls8c_ard_3-2-1_110083_2023-05-13_final
2023-05-30 10:23:36	ga_ls8c_ard_3-2-1_101074_2023-05-30_final
2023-06-19 09:57:02	ga_ls8c_ard_3-2-1_097069_2023-06-19_final
2023-06-25 11:00:53	ga_ls8c_ard_3-2-1_107074_2023-06-25_final
2023-07-23 11:24:37	ga_ls8c_ard_3-2-1_111071_2023-07-23_final
2023-09-09 09:46:24	ga_ls8c_ard_3-2-1_095072_2023-09-09_final
2023-10-22 09:28:49	ga_ls8c_ard_3-2-1_092074_2023-10-21_final
2023-11-12 09:46:57	ga_ls8c_ard_3-2-1_095073_2023-11-12_final
2023-11-24 10:10:35	ga_ls8c_ard_3-2-1_099070_2023-11-24_final
2023-11-25 09:20:56	ga_ls8c_ard_3-2-1_090085_2023-11-24_final
2024-01-29 09:57:36	ga_ls8c_ard_3-2-1_097069_2024-01-29_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years