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
2013-08-05 11:22:19	ga_ls8c_ard_3-0-0_110075_2013-08-05_final
2013-10-14 09:09:00	ga_ls8c_ard_3-0-0_088082_2013-10-13_final
2013-10-30 09:08:27	ga_ls8c_ard_3-1-0_088081_2013-10-29_final
2014-02-16 11:51:39	ga_ls8c_ard_3-0-0_115074_2014-02-16_final
2014-06-27 09:06:27	ga_ls8c_ard_3-1-0_088081_2014-06-26_final
2014-11-15 11:52:37	ga_ls8c_ard_3-0-0_115078_2014-11-15_final
2015-04-03 11:32:02	ga_ls8c_ard_3-0-0_112075_2015-04-03_final
2015-05-23 11:16:10	ga_ls8c_ard_3-0-0_110067_2015-05-23_final
2015-07-16 09:05:53	ga_ls8c_ard_3-0-0_088080_2015-07-15_final
2015-07-22 11:44:37	ga_ls8c_ard_3-0-0_114075_2015-07-22_final
2015-07-31 11:37:16	ga_ls8c_ard_3-0-0_113072_2015-07-31_final
2015-09-19 09:46:22	ga_ls8c_ard_3-0-0_095072_2015-09-19_final
2015-12-01 11:19:15	ga_ls8c_ard_3-0-0_110072_2015-12-01_final
2016-01-02 09:40:43	ga_ls8c_ard_3-0-0_094073_2016-01-02_final
2016-01-02 11:20:00	ga_ls8c_ard_3-0-0_110074_2016-01-02_final
2016-03-04 11:33:21	ga_ls8c_ard_3-0-0_112077_2016-03-04_final
2016-05-09 11:16:41	ga_ls8c_ard_3-0-0_110067_2016-05-09_final
2016-06-26 11:22:30	ga_ls8c_ard_3-0-0_110081_2016-06-26_final
2016-07-01 11:39:29	ga_ls8c_ard_3-0-0_113077_2016-07-01_final
2016-12-01 11:32:36	ga_ls8c_ard_3-0-0_112074_2016-12-01_final
2016-12-19 09:40:52	ga_ls8c_ard_3-0-0_094073_2016-12-19_final
2016-12-19 11:20:09	ga_ls8c_ard_3-0-0_110074_2016-12-19_final
2016-12-28 11:17:57	ga_ls8c_ard_3-0-0_109084_2016-12-28_final
2017-04-29 11:51:42	ga_ls8c_ard_3-0-0_115078_2017-04-29_final
2017-10-26 11:26:23	ga_ls8c_ard_3-0-0_111074_2017-10-26_final
2017-11-27 11:25:27	ga_ls8c_ard_3-0-0_111072_2017-11-27_final
2018-04-20 11:22:57	ga_ls8c_ard_3-0-0_111068_2018-04-20_final
2018-05-15 11:22:31	ga_ls8c_ard_3-0-0_110083_2018-05-15_final
2018-06-07 11:23:41	ga_ls8c_ard_3-0-0_111071_2018-06-07_final
2018-07-02 11:21:46	ga_ls8c_ard_3-0-0_110081_2018-07-02_final
2018-07-23 11:36:52	ga_ls8c_ard_3-0-0_113072_2018-07-23_final
2018-11-05 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-05_final
2019-01-17 09:50:13	ga_ls8c_ard_3-0-0_095082_2019-01-17_final
2019-02-18 09:50:55	ga_ls8c_ard_3-0-0_095084_2019-02-18_final
2019-02-18 11:25:49	ga_ls8c_ard_3-0-0_111074_2019-02-18_final
2019-04-05 11:37:58	ga_ls8c_ard_3-1-0_113074_2019-04-05_final
2019-05-18 11:19:54	ga_ls8c_ard_3-0-0_110075_2019-05-18_final
2019-06-03 09:40:46	ga_ls8c_ard_3-0-0_094074_2019-06-03_final
2019-09-03 11:47:14	ga_ls8c_ard_3-1-0_114080_2019-09-03_final
2020-02-14 11:19:09	ga_ls8c_ard_3-1-0_110072_2020-02-14_final
2020-04-02 11:16:48	ga_ls8c_ard_3-1-0_110067_2020-04-02_final
2020-04-18 11:18:17	ga_ls8c_ard_3-1-0_110071_2020-04-18_final
2020-04-25 09:45:55	ga_ls8c_ard_3-1-0_095072_2020-04-25_final
2020-10-01 09:07:27	ga_ls8c_ard_3-1-0_088082_2020-09-30_final
2021-03-27 09:47:24	ga_ls8c_ard_3-2-0_095075_2021-03-27_final
2021-03-29 09:39:49	ga_ls8c_ard_3-2-0_093087_2021-03-29_final
2021-03-31 09:28:39	ga_ls8c_ard_3-2-0_091090_2021-03-30_final
2021-05-02 09:24:48	ga_ls8c_ard_3-2-0_091081_2021-05-01_final
2021-05-20 10:51:50	ga_ls8c_ard_3-2-0_105082_2021-05-20_final
2021-05-21 11:29:07	ga_ls8c_ard_3-2-0_112067_2021-05-21_final
2021-05-25 09:33:32	ga_ls8c_ard_3-2-0_092087_2021-05-25_final
2021-06-10 11:09:45	ga_ls8c_ard_3-2-0_108080_2021-06-10_final
2021-06-18 11:58:26	ga_ls8c_ard_3-2-0_116078_2021-06-18_final
2021-08-30 10:11:20	ga_ls8c_ard_3-2-0_099072_2021-08-30_final
2021-09-26 11:32:35	ga_ls8c_ard_3-2-0_112074_2021-09-26_final
2021-10-02 09:17:04	ga_ls8c_ard_3-2-0_090075_2021-10-01_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-10-17 10:13:57	ga_ls8c_ard_3-2-0_099078_2021-10-17_final
2021-11-04 11:36:04	ga_ls8c_ard_3-2-0_113067_2021-11-04_final
2021-12-01 11:19:52	ga_ls8c_ard_3-2-0_110073_2021-12-01_final
2021-12-24 09:50:42	ga_ls8c_ard_3-2-1_095082_2021-12-24_final
2022-02-24 11:38:28	ga_ls8c_ard_3-2-1_113074_2022-02-24_final
2022-03-18 09:23:11	ga_ls8c_ard_3-2-1_091076_2022-03-17_final
2022-03-23 09:40:52	ga_ls8c_ard_3-2-1_094074_2022-03-23_final
2022-05-18 10:30:48	ga_ls8c_ard_3-2-1_102075_2022-05-18_final
2022-05-22 10:07:17	ga_ls8c_ard_3-2-1_098078_2022-05-22_final
2022-08-26 10:10:16	ga_ls8c_ard_3-2-1_098084_2022-08-26_final
2022-09-01 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-31_final
2022-09-11 10:03:57	ga_ls8c_ard_3-2-1_098068_2022-09-11_final
2022-09-12 09:13:55	ga_ls8c_ard_3-2-1_089082_2022-09-11_final
2022-09-28 09:13:58	ga_ls8c_ard_3-2-1_089082_2022-09-27_final
2022-11-02 11:20:09	ga_ls8c_ard_3-2-1_110073_2022-11-02_final
2022-11-22 09:18:26	ga_ls8c_ard_3-2-1_090078_2022-11-21_final
2022-11-29 09:27:50	ga_ls8c_ard_3-2-1_091086_2022-11-28_final
2022-12-19 10:34:41	ga_ls8c_ard_3-2-1_103068_2022-12-19_final
2022-12-22 09:33:02	ga_ls8c_ard_3-2-1_092084_2022-12-22_final
2022-12-22 09:33:26	ga_ls8c_ard_3-2-1_092085_2022-12-22_final
2023-01-17 11:47:42	ga_ls8c_ard_3-2-1_114081_2023-01-17_final
2023-02-20 09:52:22	ga_ls8c_ard_3-2-1_096071_2023-02-20_final
2023-03-18 10:28:24	ga_ls8c_ard_3-2-1_102069_2023-03-18_final
2023-04-13 09:32:37	ga_ls8c_ard_3-2-1_092085_2023-04-13_final
2023-04-29 09:32:33	ga_ls8c_ard_3-2-1_092085_2023-04-29_final
2023-05-09 10:09:29	ga_ls8c_ard_3-2-1_098085_2023-05-09_final
2023-06-14 09:45:16	ga_ls8c_ard_3-2-1_094086_2023-06-14_final
2023-06-16 11:05:25	ga_ls8c_ard_3-2-1_108070_2023-06-16_final
2023-07-06 10:45:41	ga_ls8c_ard_3-2-1_104082_2023-07-06_final
2023-07-16 11:20:01	ga_ls8c_ard_3-2-1_110075_2023-07-16_final
2023-08-16 10:38:10	ga_ls8c_ard_3-2-1_103078_2023-08-16_final
2023-08-21 09:21:28	ga_ls8c_ard_3-2-1_090087_2023-08-20_final
2023-10-08 10:54:07	ga_ls8c_ard_3-2-1_106071_2023-10-08_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_final
2023-10-24 10:53:22	ga_ls8c_ard_3-2-1_106069_2023-10-24_final
2023-11-16 10:59:58	ga_ls8c_ard_3-2-1_107070_2023-11-16_final
2023-11-19 09:57:36	ga_ls8c_ard_3-2-1_096084_2023-11-19_final
2023-11-28 09:47:26	ga_ls8c_ard_3-2-1_095074_2023-11-28_final
2023-11-28 11:29:55	ga_ls8c_ard_3-2-1_111083_2023-11-28_final
2023-12-26 10:09:20	ga_ls8c_ard_3-2-1_099067_2023-12-26_final
2024-01-08 09:40:43	ga_ls8c_ard_3-2-1_094073_2024-01-08_final
2024-03-07 11:05:13	ga_ls8c_ard_3-2-1_107084_2024-03-07_final
2024-03-22 10:21:26	ga_ls8c_ard_3-2-1_100083_2024-03-22_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