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
2015-04-07 09:32:02	ga_ls8c_ard_3-0-0_092084_2015-04-07_final
2015-04-07 11:10:55	ga_ls8c_ard_3-0-0_108084_2015-04-07_final
2015-04-08 10:15:17	ga_ls8c_ard_3-0-0_099084_2015-04-08_final
2015-04-09 09:19:40	ga_ls8c_ard_3-0-0_090084_2015-04-08_final
2015-04-09 10:58:33	ga_ls8c_ard_3-0-0_106084_2015-04-09_final
2015-04-14 09:38:13	ga_ls8c_ard_3-0-0_093084_2015-04-14_final
2015-04-14 11:17:06	ga_ls8c_ard_3-0-0_109084_2015-04-14_final
2015-04-15 10:21:29	ga_ls8c_ard_3-0-0_100084_2015-04-15_final
2015-04-16 09:25:51	ga_ls8c_ard_3-0-0_091084_2015-04-15_final
2015-04-16 11:04:44	ga_ls8c_ard_3-0-0_107084_2015-04-16_final
2015-04-19 09:56:45	ga_ls8c_ard_3-0-0_096084_2015-04-19_final
2015-04-19 11:35:38	ga_ls8c_ard_3-0-0_112084_2015-04-19_final
2015-05-03 10:08:56	ga_ls8c_ard_3-0-0_098084_2015-05-03_final
2015-05-04 09:13:17	ga_ls8c_ard_3-0-0_089084_2015-05-03_final
2015-05-05 09:56:32	ga_ls8c_ard_3-0-0_096084_2015-05-05_final
2015-05-05 11:35:25	ga_ls8c_ard_3-0-0_112084_2015-05-05_final
2015-05-16 09:37:51	ga_ls8c_ard_3-0-0_093084_2015-05-16_final
2015-05-16 11:16:20	ga_ls8c_ard_3-0-0_109083_2015-05-16_final
2015-05-16 11:16:44	ga_ls8c_ard_3-0-0_109084_2015-05-16_final
2015-05-17 10:20:43	ga_ls8c_ard_3-0-0_100083_2015-05-17_final
2015-05-17 10:21:07	ga_ls8c_ard_3-0-0_100084_2015-05-17_final
2015-05-18 09:25:30	ga_ls8c_ard_3-0-0_091084_2015-05-17_final
2015-05-18 11:03:59	ga_ls8c_ard_3-0-0_107083_2015-05-18_final
2015-05-18 11:04:23	ga_ls8c_ard_3-0-0_107084_2015-05-18_final
2017-04-21 09:25:52	ga_ls8c_ard_3-0-0_091084_2017-04-20_final
2017-04-21 11:04:45	ga_ls8c_ard_3-0-0_107084_2017-04-21_final
2017-06-09 10:09:24	ga_ls8c_ard_3-0-0_098084_2017-06-09_final
2017-06-10 09:13:47	ga_ls8c_ard_3-0-0_089084_2017-06-09_final
2017-06-11 09:56:39	ga_ls8c_ard_3-0-0_096083_2017-06-11_final
2017-06-11 09:57:03	ga_ls8c_ard_3-0-0_096084_2017-06-11_final
2017-06-11 11:35:32	ga_ls8c_ard_3-0-0_112083_2017-06-11_final
2017-06-11 11:35:56	ga_ls8c_ard_3-0-0_112084_2017-06-11_final
2017-07-19 09:20:09	ga_ls8c_ard_3-0-0_090084_2017-07-18_final
2017-07-19 10:59:02	ga_ls8c_ard_3-0-0_106084_2017-07-19_final
2017-07-27 10:09:40	ga_ls8c_ard_3-0-0_098084_2017-07-27_final
2017-07-28 09:13:39	ga_ls8c_ard_3-0-0_089083_2017-07-27_final
2017-07-28 09:14:03	ga_ls8c_ard_3-0-0_089084_2017-07-27_final
2017-07-28 10:52:32	ga_ls8c_ard_3-0-0_105083_2017-07-28_final
2017-07-29 09:57:19	ga_ls8c_ard_3-0-0_096084_2017-07-29_final
2017-07-29 11:36:12	ga_ls8c_ard_3-0-0_112084_2017-07-29_final
2017-08-30 09:57:28	ga_ls8c_ard_3-0-0_096084_2017-08-30_final
2017-08-30 11:36:21	ga_ls8c_ard_3-0-0_112084_2017-08-30_final
2022-01-22 10:58:57	ga_ls8c_ard_3-2-1_106083_2022-01-22_final
2022-01-23 10:03:44	ga_ls8c_ard_3-2-1_097084_2022-01-23_final
2022-01-23 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-01-23_final
2022-01-25 09:51:21	ga_ls8c_ard_3-2-1_095084_2022-01-25_final
2022-04-25 10:27:40	ga_ls8c_ard_3-2-1_101083_2022-04-25_final
2022-04-26 09:32:02	ga_ls8c_ard_3-2-1_092083_2022-04-26_final
2022-04-26 09:32:26	ga_ls8c_ard_3-2-1_092084_2022-04-26_final
2022-04-26 11:10:55	ga_ls8c_ard_3-2-1_108083_2022-04-26_final
2022-04-26 11:11:19	ga_ls8c_ard_3-2-1_108084_2022-04-26_final
2022-04-27 10:15:17	ga_ls8c_ard_3-2-1_099083_2022-04-27_final
2022-04-27 10:15:41	ga_ls8c_ard_3-2-1_099084_2022-04-27_final
2022-04-28 09:19:39	ga_ls8c_ard_3-2-1_090083_2022-04-27_final
2022-04-28 09:20:03	ga_ls8c_ard_3-2-1_090084_2022-04-27_final
2022-04-28 10:58:32	ga_ls8c_ard_3-2-1_106083_2022-04-28_final
2022-04-29 10:02:54	ga_ls8c_ard_3-2-1_097083_2022-04-29_final
2022-04-29 10:03:18	ga_ls8c_ard_3-2-1_097084_2022-04-29_final
2022-04-29 11:41:48	ga_ls8c_ard_3-2-1_113083_2022-04-29_final
2022-04-29 11:42:11	ga_ls8c_ard_3-2-1_113084_2022-04-29_final
2022-04-30 09:07:18	ga_ls8c_ard_3-2-1_088083_2022-04-29_final
2022-05-01 09:50:35	ga_ls8c_ard_3-2-1_095083_2022-05-01_final
2022-05-01 09:50:59	ga_ls8c_ard_3-2-1_095084_2022-05-01_final
2022-05-01 11:29:28	ga_ls8c_ard_3-2-1_111083_2022-05-01_final
2022-05-01 11:29:52	ga_ls8c_ard_3-2-1_111084_2022-05-01_final
2022-05-03 09:38:39	ga_ls8c_ard_3-2-1_093084_2022-05-03_final
2022-05-03 11:17:08	ga_ls8c_ard_3-2-1_109083_2022-05-03_final
2022-05-03 11:17:32	ga_ls8c_ard_3-2-1_109084_2022-05-03_final
2022-05-04 10:21:55	ga_ls8c_ard_3-2-1_100084_2022-05-04_final
2022-05-05 09:25:55	ga_ls8c_ard_3-2-1_091083_2022-05-04_final
2022-05-05 09:26:19	ga_ls8c_ard_3-2-1_091084_2022-05-04_final
2022-05-05 11:04:48	ga_ls8c_ard_3-2-1_107083_2022-05-05_final
2022-05-05 11:05:12	ga_ls8c_ard_3-2-1_107084_2022-05-05_final
2022-05-06 10:09:35	ga_ls8c_ard_3-2-1_098084_2022-05-06_final
2022-05-07 09:13:58	ga_ls8c_ard_3-2-1_089084_2022-05-06_final
2023-12-25 09:32:28	ga_ls8c_ard_3-2-1_092083_2023-12-25_final
2023-12-25 09:32:52	ga_ls8c_ard_3-2-1_092084_2023-12-25_final
2023-12-25 11:11:45	ga_ls8c_ard_3-2-1_108084_2023-12-25_final
2023-12-26 10:15:43	ga_ls8c_ard_3-2-1_099083_2023-12-26_final
2023-12-26 10:16:07	ga_ls8c_ard_3-2-1_099084_2023-12-26_final
2023-12-27 09:20:05	ga_ls8c_ard_3-2-1_090083_2023-12-26_final
2023-12-27 09:20:29	ga_ls8c_ard_3-2-1_090084_2023-12-26_final
2023-12-27 10:58:58	ga_ls8c_ard_3-2-1_106083_2023-12-27_final
2023-12-28 10:03:20	ga_ls8c_ard_3-2-1_097083_2023-12-28_final
2023-12-28 10:03:44	ga_ls8c_ard_3-2-1_097084_2023-12-28_final
2023-12-28 11:42:37	ga_ls8c_ard_3-2-1_113084_2023-12-28_final
2023-12-30 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-12-30_final
2023-12-30 11:30:14	ga_ls8c_ard_3-2-1_111084_2023-12-30_final
2024-01-01 09:38:58	ga_ls8c_ard_3-2-1_093084_2024-01-01_final
2024-01-10 09:32:46	ga_ls8c_ard_3-2-1_092084_2024-01-10_final
2024-01-10 11:11:39	ga_ls8c_ard_3-2-1_108084_2024-01-10_final
2024-01-11 10:15:38	ga_ls8c_ard_3-2-1_099083_2024-01-11_final
2024-01-11 10:16:02	ga_ls8c_ard_3-2-1_099084_2024-01-11_final
2024-01-12 09:20:25	ga_ls8c_ard_3-2-1_090084_2024-01-11_final
2024-01-13 10:03:41	ga_ls8c_ard_3-2-1_097084_2024-01-13_final
2024-01-13 11:42:34	ga_ls8c_ard_3-2-1_113084_2024-01-13_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-15 11:30:12	ga_ls8c_ard_3-2-1_111084_2024-01-15_final
2024-01-17 09:38:57	ga_ls8c_ard_3-2-1_093084_2024-01-17_final
2024-01-17 11:17:50	ga_ls8c_ard_3-2-1_109084_2024-01-17_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