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
2014-06-10 11:41:43	ga_ls8c_ard_3-0-0_113083_2014-06-10_final
2014-11-12 09:40:51	ga_ls8c_ard_3-0-0_094073_2014-11-12_final
2014-12-14 09:39:55	ga_ls8c_ard_3-0-0_094071_2014-12-14_final
2015-02-14 11:31:40	ga_ls8c_ard_3-0-0_112073_2015-02-14_final
2015-03-27 09:47:06	ga_ls8c_ard_3-0-0_095075_2015-03-27_final
2015-05-30 09:45:53	ga_ls8c_ard_3-0-0_095073_2015-05-30_final
2015-09-02 09:06:09	ga_ls8c_ard_3-0-0_088080_2015-09-01_final
2016-01-14 11:45:54	ga_ls8c_ard_3-0-0_114077_2016-01-14_final
2016-04-07 09:39:27	ga_ls8c_ard_3-0-0_094071_2016-04-07_final
2016-04-21 11:29:49	ga_ls8c_ard_3-0-0_112069_2016-04-21_final
2016-05-19 11:57:22	ga_ls8c_ard_3-0-0_116076_2016-05-19_final
2016-06-06 11:45:30	ga_ls8c_ard_3-0-0_114077_2016-06-06_final
2017-02-19 11:31:47	ga_ls8c_ard_3-0-0_112073_2017-02-19_final
2017-03-16 09:45:43	ga_ls8c_ard_3-0-0_095071_2017-03-16_final
2017-08-19 11:52:04	ga_ls8c_ard_3-0-0_115077_2017-08-19_final
2017-08-30 11:31:58	ga_ls8c_ard_3-0-0_112073_2017-08-30_final
2017-11-08 12:31:33	ga_ls8c_ard_3-2-1_122067_2017-11-08_final
2018-01-03 11:41:58	ga_ls8c_ard_3-0-0_114067_2018-01-03_final
2018-04-29 09:39:25	ga_ls8c_ard_3-0-0_094072_2018-04-29_final
2018-05-06 09:46:43	ga_ls8c_ard_3-0-0_095075_2018-05-06_final
2018-07-25 09:50:49	ga_ls8c_ard_3-0-0_095085_2018-07-25_final
2018-08-01 11:31:10	ga_ls8c_ard_3-0-0_112073_2018-08-01_final
2018-10-22 09:40:06	ga_ls8c_ard_3-0-0_094072_2018-10-22_final
2019-04-14 11:35:44	ga_ls8c_ard_3-1-0_112084_2019-04-14_final
2019-06-10 09:46:36	ga_ls8c_ard_3-0-0_095073_2019-06-10_final
2019-10-14 11:41:38	ga_ls8c_ard_3-1-0_113081_2019-10-14_final
2020-05-25 11:40:41	ga_ls8c_ard_3-1-0_113081_2020-05-25_final
2021-03-08 09:17:49	ga_ls8c_ard_3-2-0_090078_2021-03-07_final
2021-04-14 09:38:56	ga_ls8c_ard_3-2-0_093085_2021-04-14_final
2021-05-28 11:42:09	ga_ls8c_ard_3-2-0_113084_2021-05-28_final
2021-06-02 10:19:27	ga_ls8c_ard_3-2-0_100078_2021-06-02_final
2021-06-10 09:32:27	ga_ls8c_ard_3-2-0_092084_2021-06-10_final
2021-08-29 11:10:57	ga_ls8c_ard_3-2-0_108082_2021-08-29_final
2021-09-03 11:29:55	ga_ls8c_ard_3-2-0_111083_2021-09-03_final
2021-09-12 11:23:22	ga_ls8c_ard_3-2-0_110082_2021-09-12_final
2021-09-22 10:20:00	ga_ls8c_ard_3-2-0_100078_2021-09-22_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-02-13 10:18:59	ga_ls8c_ard_3-2-1_100076_2022-02-13_final
2022-03-21 09:57:14	ga_ls8c_ard_3-2-1_096084_2022-03-21_final
2022-03-28 09:58:08	ga_ls8c_ard_3-2-1_097071_2022-03-28_final
2022-04-09 10:25:41	ga_ls8c_ard_3-2-1_101078_2022-04-09_final
2022-04-12 09:20:07	ga_ls8c_ard_3-2-1_090084_2022-04-11_final
2022-05-03 11:17:32	ga_ls8c_ard_3-2-1_109084_2022-05-03_final
2022-05-30 09:22:39	ga_ls8c_ard_3-2-1_090090_2022-05-29_final
2022-07-06 09:39:52	ga_ls8c_ard_3-2-1_093086_2022-07-06_final
2022-07-17 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-07-16_final
2022-08-03 09:58:24	ga_ls8c_ard_3-2-1_097070_2022-08-03_final
2022-08-07 09:34:55	ga_ls8c_ard_3-2-1_093073_2022-08-07_final
2022-08-10 10:03:51	ga_ls8c_ard_3-2-1_098068_2022-08-10_final
2022-09-19 09:17:21	ga_ls8c_ard_3-2-1_090075_2022-09-18_final
2022-09-24 09:35:06	ga_ls8c_ard_3-2-1_093073_2022-09-24_final
2022-10-07 10:43:25	ga_ls8c_ard_3-2-1_104074_2022-10-07_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-10-20 10:09:18	ga_ls8c_ard_3-2-1_099066_2022-10-20_final
2022-11-25 09:47:21	ga_ls8c_ard_3-2-1_095073_2022-11-25_final
2022-12-07 10:14:04	ga_ls8c_ard_3-2-1_099078_2022-12-07_final
2022-12-23 11:51:35	ga_ls8c_ard_3-2-1_115075_2022-12-23_final
2023-01-02 10:50:13	ga_ls8c_ard_3-2-1_105076_2023-01-02_final
2023-01-15 10:19:37	ga_ls8c_ard_3-2-1_100077_2023-01-15_final
2023-02-10 09:17:02	ga_ls8c_ard_3-2-1_090075_2023-02-09_final
2023-02-19 09:16:42	ga_ls8c_ard_3-2-1_089090_2023-02-18_final
2023-02-19 10:47:36	ga_ls8c_ard_3-2-1_105070_2023-02-19_final
2023-02-26 09:16:45	ga_ls8c_ard_3-2-1_090075_2023-02-25_final
2023-02-26 09:17:09	ga_ls8c_ard_3-2-1_090076_2023-02-25_final
2023-02-27 09:58:01	ga_ls8c_ard_3-2-1_097070_2023-02-27_final
2023-03-01 11:24:57	ga_ls8c_ard_3-2-1_111071_2023-03-01_final
2023-04-15 09:16:39	ga_ls8c_ard_3-2-1_090076_2023-04-14_final
2023-05-25 10:02:15	ga_ls8c_ard_3-2-1_098067_2023-05-25_final
2023-06-02 09:16:00	ga_ls8c_ard_3-2-1_090075_2023-06-01_final
2023-06-06 10:32:38	ga_ls8c_ard_3-2-1_102081_2023-06-06_final
2023-06-10 11:46:50	ga_ls8c_ard_3-2-1_114081_2023-06-10_final
2023-06-14 09:45:40	ga_ls8c_ard_3-2-1_094087_2023-06-14_final
2023-06-27 09:11:40	ga_ls8c_ard_3-2-1_089079_2023-06-26_final
2023-07-16 11:23:36	ga_ls8c_ard_3-2-1_110084_2023-07-16_final
2023-07-23 09:49:44	ga_ls8c_ard_3-2-1_095081_2023-07-23_final
2023-08-04 10:10:11	ga_ls8c_ard_3-2-1_099070_2023-08-04_final
2023-08-05 09:21:45	ga_ls8c_ard_3-2-1_090088_2023-08-04_final
2023-08-14 09:16:24	ga_ls8c_ard_3-2-1_089090_2023-08-13_final
2023-08-14 10:52:06	ga_ls8c_ard_3-2-1_105082_2023-08-14_final
2023-08-29 10:03:45	ga_ls8c_ard_3-2-1_098069_2023-08-29_final
2023-09-04 09:28:38	ga_ls8c_ard_3-2-1_092074_2023-09-03_final
2023-09-08 10:42:24	ga_ls8c_ard_3-2-1_104073_2023-09-08_final
2023-09-28 10:17:01	ga_ls8c_ard_3-2-1_100071_2023-09-28_final
2023-09-30 10:04:16	ga_ls8c_ard_3-2-1_098070_2023-09-30_final
2023-10-05 10:25:59	ga_ls8c_ard_3-2-1_101078_2023-10-05_final
2023-11-02 09:15:55	ga_ls8c_ard_3-2-1_089088_2023-11-01_final
2023-11-02 10:52:25	ga_ls8c_ard_3-2-1_105082_2023-11-02_final
2023-11-05 11:23:18	ga_ls8c_ard_3-2-1_110082_2023-11-05_final
2023-11-22 10:26:07	ga_ls8c_ard_3-2-1_101078_2023-11-22_final
2023-11-26 09:58:13	ga_ls8c_ard_3-2-1_097070_2023-11-26_final
2023-12-13 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-12_final
2023-12-18 09:26:41	ga_ls8c_ard_3-2-1_091084_2023-12-17_final
2023-12-27 10:52:59	ga_ls8c_ard_3-2-1_106068_2023-12-27_final
2024-01-05 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-01-04_final
2024-01-18 08:42:32	ga_ls8c_ard_3-2-1_084082_2024-01-17_final
2024-01-30 10:41:40	ga_ls8c_ard_3-2-1_104071_2024-01-30_final
2024-02-14 09:57:15	ga_ls8c_ard_3-2-1_097068_2024-02-14_final
2024-02-21 10:05:48	ga_ls8c_ard_3-2-1_098074_2024-02-21_final
2024-03-14 11:10:58	ga_ls8c_ard_3-2-1_108083_2024-03-14_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_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