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
2014-08-10 09:31:06	ga_ls8c_ard_3-0-0_092080_2014-08-10_final
2014-08-10 09:31:30	ga_ls8c_ard_3-0-0_092081_2014-08-10_final
2014-08-10 11:09:59	ga_ls8c_ard_3-0-0_108080_2014-08-10_final
2014-08-10 11:10:23	ga_ls8c_ard_3-0-0_108081_2014-08-10_final
2014-08-11 10:14:22	ga_ls8c_ard_3-0-0_099080_2014-08-11_final
2014-08-11 10:14:46	ga_ls8c_ard_3-0-0_099081_2014-08-11_final
2014-08-11 11:53:15	ga_ls8c_ard_3-0-0_115080_2014-08-11_final
2014-08-12 09:18:45	ga_ls8c_ard_3-0-0_090080_2014-08-11_final
2014-08-12 09:19:09	ga_ls8c_ard_3-0-0_090081_2014-08-11_final
2014-08-12 10:57:38	ga_ls8c_ard_3-0-0_106080_2014-08-12_final
2014-08-12 10:58:02	ga_ls8c_ard_3-0-0_106081_2014-08-12_final
2014-08-26 09:31:08	ga_ls8c_ard_3-0-0_092080_2014-08-26_final
2014-08-26 09:31:32	ga_ls8c_ard_3-0-0_092081_2014-08-26_final
2014-08-26 11:10:01	ga_ls8c_ard_3-0-0_108080_2014-08-26_final
2014-08-26 11:10:25	ga_ls8c_ard_3-0-0_108081_2014-08-26_final
2014-08-27 10:14:24	ga_ls8c_ard_3-0-0_099080_2014-08-27_final
2014-08-27 10:14:47	ga_ls8c_ard_3-0-0_099081_2014-08-27_final
2014-08-27 11:53:17	ga_ls8c_ard_3-0-0_115080_2014-08-27_final
2014-08-28 09:19:10	ga_ls8c_ard_3-0-0_090081_2014-08-27_final
2014-08-28 10:57:39	ga_ls8c_ard_3-0-0_106080_2014-08-28_final
2014-08-28 10:58:03	ga_ls8c_ard_3-0-0_106081_2014-08-28_final
2018-02-13 10:01:46	ga_ls8c_ard_3-0-0_097080_2018-02-13_final
2018-02-13 10:02:10	ga_ls8c_ard_3-0-0_097081_2018-02-13_final
2018-02-13 11:41:03	ga_ls8c_ard_3-0-0_113081_2018-02-13_final
2018-02-14 09:06:09	ga_ls8c_ard_3-0-0_088080_2018-02-13_final
2018-02-14 09:06:33	ga_ls8c_ard_3-1-0_088081_2018-02-13_final
2018-02-14 10:45:02	ga_ls8c_ard_3-0-0_104080_2018-02-14_final
2018-02-14 10:45:26	ga_ls8c_ard_3-0-0_104081_2018-02-14_final
2018-02-15 09:49:48	ga_ls8c_ard_3-0-0_095081_2018-02-15_final
2018-02-15 11:28:41	ga_ls8c_ard_3-0-0_111081_2018-02-15_final
2018-04-06 09:37:02	ga_ls8c_ard_3-0-0_093081_2018-04-06_final
2018-04-06 11:15:55	ga_ls8c_ard_3-0-0_109081_2018-04-06_final
2018-04-07 10:19:54	ga_ls8c_ard_3-0-0_100080_2018-04-07_final
2018-04-07 10:20:17	ga_ls8c_ard_3-0-0_100081_2018-04-07_final
2018-04-08 09:24:40	ga_ls8c_ard_3-0-0_091081_2018-04-07_final
2018-04-08 11:03:33	ga_ls8c_ard_3-0-0_107081_2018-04-08_final
2018-04-16 10:13:37	ga_ls8c_ard_3-0-0_099080_2018-04-16_final
2018-04-16 10:14:01	ga_ls8c_ard_3-0-0_099081_2018-04-16_final
2018-04-17 09:18:23	ga_ls8c_ard_3-0-0_090081_2018-04-16_final
2018-04-17 10:57:16	ga_ls8c_ard_3-0-0_106081_2018-04-17_final
2018-04-18 10:01:38	ga_ls8c_ard_3-0-0_097081_2018-04-18_final
2018-04-18 11:40:31	ga_ls8c_ard_3-0-0_113081_2018-04-18_final
2018-04-22 09:36:53	ga_ls8c_ard_3-0-0_093081_2018-04-22_final
2018-04-22 11:15:46	ga_ls8c_ard_3-0-0_109081_2018-04-22_final
2018-04-23 10:20:08	ga_ls8c_ard_3-0-0_100081_2018-04-23_final
2018-04-24 09:24:30	ga_ls8c_ard_3-0-0_091081_2018-04-23_final
2018-04-24 11:03:23	ga_ls8c_ard_3-0-0_107081_2018-04-24_final
2018-07-20 09:30:15	ga_ls8c_ard_3-0-0_092080_2018-07-20_final
2018-07-20 09:30:39	ga_ls8c_ard_3-0-0_092081_2018-07-20_final
2018-07-20 11:09:08	ga_ls8c_ard_3-0-0_108080_2018-07-20_final
2018-07-20 11:09:32	ga_ls8c_ard_3-0-0_108081_2018-07-20_final
2018-07-21 10:13:31	ga_ls8c_ard_3-0-0_099080_2018-07-21_final
2018-07-21 10:13:55	ga_ls8c_ard_3-0-0_099081_2018-07-21_final
2018-07-21 11:52:24	ga_ls8c_ard_3-0-0_115080_2018-07-21_final
2018-07-22 09:17:54	ga_ls8c_ard_3-0-0_090080_2018-07-21_final
2018-07-22 09:18:18	ga_ls8c_ard_3-0-0_090081_2018-07-21_final
2018-07-22 10:56:47	ga_ls8c_ard_3-0-0_106080_2018-07-22_final
2018-07-22 10:57:11	ga_ls8c_ard_3-0-0_106081_2018-07-22_final
2023-10-11 09:49:45	ga_ls8c_ard_3-2-1_095080_2023-10-11_final
2023-10-11 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-10-11_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-11 11:29:02	ga_ls8c_ard_3-2-1_111081_2023-10-11_final
2023-10-12 10:33:01	ga_ls8c_ard_3-2-1_102080_2023-10-12_final
2023-10-12 10:33:25	ga_ls8c_ard_3-2-1_102081_2023-10-12_final
2023-10-13 09:37:24	ga_ls8c_ard_3-2-1_093080_2023-10-13_final
2023-10-13 09:37:48	ga_ls8c_ard_3-2-1_093081_2023-10-13_final
2023-10-15 09:25:02	ga_ls8c_ard_3-2-1_091080_2023-10-14_final
2023-10-15 09:25:02	ga_ls8c_ard_3-2-1_091080_2023-10-14_nrt
2023-10-15 09:25:26	ga_ls8c_ard_3-2-1_091081_2023-10-14_final
2023-10-15 09:25:26	ga_ls8c_ard_3-2-1_091081_2023-10-14_nrt
2023-10-15 11:03:55	ga_ls8c_ard_3-2-1_107080_2023-10-15_final
2023-10-15 11:03:55	ga_ls8c_ard_3-2-1_107080_2023-10-15_nrt
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_final
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_nrt
2023-10-22 11:10:06	ga_ls8c_ard_3-2-1_108080_2023-10-22_final
2023-10-22 11:10:30	ga_ls8c_ard_3-2-1_108081_2023-10-22_final
2023-10-23 10:14:29	ga_ls8c_ard_3-2-1_099080_2023-10-23_final
2023-10-23 10:14:53	ga_ls8c_ard_3-2-1_099081_2023-10-23_final
2023-10-23 11:53:23	ga_ls8c_ard_3-2-1_115080_2023-10-23_final
2023-10-24 09:18:53	ga_ls8c_ard_3-2-1_090080_2023-10-23_final
2023-10-24 09:19:17	ga_ls8c_ard_3-2-1_090081_2023-10-23_final
2023-10-24 10:57:46	ga_ls8c_ard_3-2-1_106080_2023-10-24_final
2023-10-24 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-10-24_final
2023-10-25 10:02:09	ga_ls8c_ard_3-2-1_097080_2023-10-25_final
2023-10-25 10:02:33	ga_ls8c_ard_3-2-1_097081_2023-10-25_final
2024-01-03 11:03:51	ga_ls8c_ard_3-2-1_107080_2024-01-03_final
2024-01-03 11:04:15	ga_ls8c_ard_3-2-1_107081_2024-01-03_final
2024-01-05 09:12:59	ga_ls8c_ard_3-2-1_089081_2024-01-04_final
2024-01-09 10:26:47	ga_ls8c_ard_3-2-1_101080_2024-01-09_final
2024-01-09 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-01-09_final
2024-01-10 09:31:10	ga_ls8c_ard_3-2-1_092080_2024-01-10_final
2024-01-10 09:31:34	ga_ls8c_ard_3-2-1_092081_2024-01-10_final
2024-01-10 11:10:03	ga_ls8c_ard_3-2-1_108080_2024-01-10_final
2024-01-10 11:10:27	ga_ls8c_ard_3-2-1_108081_2024-01-10_final
2024-01-11 10:14:50	ga_ls8c_ard_3-2-1_099081_2024-01-11_final
2024-01-11 11:53:19	ga_ls8c_ard_3-2-1_115080_2024-01-11_final
2024-01-12 09:19:13	ga_ls8c_ard_3-2-1_090081_2024-01-11_final
2024-01-12 10:57:42	ga_ls8c_ard_3-2-1_106080_2024-01-12_final
2024-01-12 10:58:06	ga_ls8c_ard_3-2-1_106081_2024-01-12_final
2024-01-13 10:02:05	ga_ls8c_ard_3-2-1_097080_2024-01-13_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