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
2013-11-09 09:47:57	ga_ls8c_ard_3-0-0_094087_2013-11-09_final
2015-06-22 11:28:47	ga_ls8c_ard_3-0-0_112067_2015-06-22_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-12-17 09:40:22	ga_ls8c_ard_3-0-0_094072_2015-12-17_final
2016-10-16 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-10-16_final
2016-11-08 09:47:08	ga_ls8c_ard_3-0-0_095073_2016-11-08_final
2017-04-01 09:50:22	ga_ls8c_ard_3-0-0_095083_2017-04-01_final
2018-03-17 11:41:59	ga_ls8c_ard_3-0-0_113084_2018-03-17_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-05-31 09:39:01	ga_ls8c_ard_3-0-0_094072_2018-05-31_final
2018-06-16 09:37:08	ga_ls8c_ard_3-0-0_094067_2018-06-16_final
2019-01-24 11:29:16	ga_ls8c_ard_3-0-0_112067_2019-01-24_final
2019-03-04 11:35:19	ga_ls8c_ard_3-0-0_113067_2019-03-04_final
2019-03-29 11:30:13	ga_ls8c_ard_3-1-0_112070_2019-03-29_final
2019-07-08 11:51:32	ga_ls8c_ard_3-1-0_115076_2019-07-08_final
2019-09-21 11:29:47	ga_ls8c_ard_3-1-0_112067_2019-09-21_final
2019-09-29 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-09-28_final
2019-11-29 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-11-29_final
2019-12-10 11:30:35	ga_ls8c_ard_3-1-0_112069_2019-12-10_final
2020-01-19 09:06:30	ga_ls8c_ard_3-1-0_088080_2020-01-18_final
2020-03-08 09:52:18	ga_ls8c_ard_3-1-0_095087_2020-03-08_final
2020-03-31 11:30:22	ga_ls8c_ard_3-1-0_112070_2020-03-31_final
2020-05-25 11:37:54	ga_ls8c_ard_3-1-0_113074_2020-05-25_final
2020-07-13 09:06:59	ga_ls8c_ard_3-1-0_088082_2020-07-12_final
2020-07-17 11:58:28	ga_ls8c_ard_3-1-0_116078_2020-07-17_final
2020-09-16 11:30:20	ga_ls8c_ard_3-1-0_111084_2020-09-16_final
2021-04-18 09:10:11	ga_ls8c_ard_3-2-0_089075_2021-04-17_final
2021-05-04 10:48:55	ga_ls8c_ard_3-2-0_105075_2021-05-04_final
2021-05-20 09:10:57	ga_ls8c_ard_3-2-0_089077_2021-05-19_final
2021-06-05 09:15:53	ga_ls8c_ard_3-2-0_089089_2021-06-04_final
2021-07-26 09:40:14	ga_ls8c_ard_3-2-0_094072_2021-07-26_final
2021-07-30 09:17:32	ga_ls8c_ard_3-2-0_090077_2021-07-29_final
2021-09-14 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-09-14_final
2021-09-15 10:13:48	ga_ls8c_ard_3-2-0_099078_2021-09-15_final
2021-09-19 11:24:23	ga_ls8c_ard_3-2-0_111069_2021-09-19_final
2021-09-25 09:11:38	ga_ls8c_ard_3-2-0_089077_2021-09-24_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_final
2021-09-30 11:07:54	ga_ls8c_ard_3-2-0_108074_2021-09-30_final
2021-11-30 10:39:48	ga_ls8c_ard_3-2-0_103081_2021-11-30_final
2021-12-04 10:13:29	ga_ls8c_ard_3-2-0_099077_2021-12-04_final
2022-01-02 09:40:28	ga_ls8c_ard_3-2-1_094072_2022-01-02_final
2022-01-21 10:10:55	ga_ls8c_ard_3-2-1_099071_2022-01-21_final
2022-01-31 09:10:39	ga_ls8c_ard_3-2-1_089075_2022-01-30_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-02-28 09:39:15	ga_ls8c_ard_3-2-1_093085_2022-02-28_final
2022-03-30 09:52:08	ga_ls8c_ard_3-2-1_095087_2022-03-30_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-05-05 11:01:36	ga_ls8c_ard_3-2-1_107075_2022-05-05_final
2022-05-19 09:34:23	ga_ls8c_ard_3-2-1_093073_2022-05-19_final
2022-05-23 10:49:45	ga_ls8c_ard_3-2-1_105076_2022-05-23_final
2022-06-24 10:52:25	ga_ls8c_ard_3-2-1_105082_2022-06-24_final
2022-07-08 09:27:31	ga_ls8c_ard_3-2-1_091086_2022-07-07_final
2022-07-22 11:14:02	ga_ls8c_ard_3-2-1_109074_2022-07-22_final
2022-07-23 10:20:01	ga_ls8c_ard_3-2-1_100078_2022-07-23_final
2022-08-14 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-08-14_final
2022-08-18 10:58:07	ga_ls8c_ard_3-2-1_106080_2022-08-18_final
2022-09-09 10:19:53	ga_ls8c_ard_3-2-1_100077_2022-09-09_final
2022-09-28 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-09-28_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-11-07 10:04:11	ga_ls8c_ard_3-2-1_097084_2022-11-07_final
2022-11-11 11:14:19	ga_ls8c_ard_3-2-1_109074_2022-11-11_final
2022-11-29 09:23:03	ga_ls8c_ard_3-2-1_091074_2022-11-28_final
2022-12-06 09:29:37	ga_ls8c_ard_3-2-1_092075_2022-12-05_final
2023-01-02 10:49:25	ga_ls8c_ard_3-2-1_105074_2023-01-02_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-14 10:29:33	ga_ls8c_ard_3-2-1_102071_2023-02-14_final
2023-02-18 10:04:22	ga_ls8c_ard_3-2-1_098070_2023-02-18_final
2023-03-02 10:29:19	ga_ls8c_ard_3-2-1_102071_2023-03-02_final
2023-03-17 09:47:09	ga_ls8c_ard_3-2-1_095074_2023-03-17_final
2023-05-02 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-05-02_final
2023-05-06 11:13:56	ga_ls8c_ard_3-2-1_109076_2023-05-06_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-05-22 11:13:01	ga_ls8c_ard_3-2-1_109074_2023-05-22_final
2023-06-27 10:51:45	ga_ls8c_ard_3-2-1_105082_2023-06-27_final
2023-07-11 09:27:22	ga_ls8c_ard_3-2-1_091087_2023-07-10_final
2023-09-19 10:25:33	ga_ls8c_ard_3-2-1_101077_2023-09-19_final
2023-09-27 11:13:50	ga_ls8c_ard_3-2-1_109074_2023-09-27_final
2023-10-01 09:14:38	ga_ls8c_ard_3-2-1_089085_2023-09-30_final
2023-10-08 10:54:31	ga_ls8c_ard_3-2-1_106072_2023-10-08_final
2023-11-02 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-01_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2023-11-28 09:52:14	ga_ls8c_ard_3-2-1_095086_2023-11-28_final
2023-11-30 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-11-30_final
2023-11-30 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-11-30_final
2023-12-07 11:18:24	ga_ls8c_ard_3-2-1_110070_2023-12-07_final
2023-12-10 10:10:27	ga_ls8c_ard_3-2-1_099070_2023-12-10_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2023-12-30 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-12-30_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-01-12 09:22:01	ga_ls8c_ard_3-2-1_090088_2024-01-11_final
2024-01-17 09:40:09	ga_ls8c_ard_3-2-1_093087_2024-01-17_final
2024-01-18 10:17:01	ga_ls8c_ard_3-2-1_100071_2024-01-18_final
2024-01-22 09:51:51	ga_ls8c_ard_3-2-1_096070_2024-01-22_final
2024-02-02 11:13:48	ga_ls8c_ard_3-2-1_109074_2024-02-02_final
2024-02-06 09:14:13	ga_ls8c_ard_3-2-1_089084_2024-02-05_final
2024-02-12 10:11:13	ga_ls8c_ard_3-2-1_099072_2024-02-12_final
2024-02-18 11:13:47	ga_ls8c_ard_3-2-1_109074_2024-02-18_final
2024-02-19 10:17:22	ga_ls8c_ard_3-2-1_100072_2024-02-19_final
2024-03-11 10:39:41	ga_ls8c_ard_3-2-1_103082_2024-03-11_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