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:

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First 100 results (query limit)

Time (local)	Label
2021-09-15 10:10:13	ga_ls8c_ard_3-2-0_099069_2021-09-15_final
2021-09-15 10:11:01	ga_ls8c_ard_3-2-0_099071_2021-09-15_final
2021-09-15 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-09-15_final
2021-09-15 10:11:48	ga_ls8c_ard_3-2-0_099073_2021-09-15_final
2021-09-15 10:12:12	ga_ls8c_ard_3-2-0_099074_2021-09-15_final
2021-09-15 10:13:00	ga_ls8c_ard_3-2-0_099076_2021-09-15_final
2021-09-15 10:15:00	ga_ls8c_ard_3-2-0_099081_2021-09-15_final
2021-09-15 10:16:36	ga_ls8c_ard_3-2-0_099085_2021-09-15_final
2021-09-15 11:50:41	ga_ls8c_ard_3-2-0_115073_2021-09-15_final
2021-09-15 11:51:29	ga_ls8c_ard_3-2-0_115075_2021-09-15_final
2021-09-15 11:51:53	ga_ls8c_ard_3-2-0_115076_2021-09-15_final
2021-09-15 11:52:17	ga_ls8c_ard_3-2-0_115077_2021-09-15_final
2021-09-15 11:53:05	ga_ls8c_ard_3-2-0_115079_2021-09-15_final
2021-09-15 11:53:29	ga_ls8c_ard_3-2-0_115080_2021-09-15_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-09-16 09:18:11	ga_ls8c_ard_3-2-0_090078_2021-09-15_final
2021-09-16 09:18:35	ga_ls8c_ard_3-2-0_090079_2021-09-15_final
2021-09-16 09:18:59	ga_ls8c_ard_3-2-0_090080_2021-09-15_final
2021-09-16 10:53:28	ga_ls8c_ard_3-2-0_106069_2021-09-16_final
2021-09-16 10:54:16	ga_ls8c_ard_3-2-0_106071_2021-09-16_final
2021-09-16 10:55:52	ga_ls8c_ard_3-2-0_106075_2021-09-16_final
2021-09-16 10:57:28	ga_ls8c_ard_3-2-0_106079_2021-09-16_final
2021-09-16 10:57:52	ga_ls8c_ard_3-2-0_106080_2021-09-16_final
2021-09-17 09:58:39	ga_ls8c_ard_3-2-0_097071_2021-09-17_final
2021-09-17 09:59:03	ga_ls8c_ard_3-2-0_097072_2021-09-17_final
2021-09-17 09:59:51	ga_ls8c_ard_3-2-0_097074_2021-09-17_final
2021-09-17 11:42:44	ga_ls8c_ard_3-2-0_113084_2021-09-17_final
2021-09-18 10:43:55	ga_ls8c_ard_3-2-0_104076_2021-09-18_final
2021-09-18 10:44:19	ga_ls8c_ard_3-2-0_104077_2021-09-18_final
2021-09-18 10:44:43	ga_ls8c_ard_3-2-0_104078_2021-09-18_final
2021-09-18 10:45:07	ga_ls8c_ard_3-2-0_104079_2021-09-18_final
2021-09-18 10:45:30	ga_ls8c_ard_3-2-0_104080_2021-09-18_final
2021-09-19 09:47:06	ga_ls8c_ard_3-2-0_095073_2021-09-19_final
2021-09-19 09:47:30	ga_ls8c_ard_3-2-0_095074_2021-09-19_final
2021-09-19 09:47:54	ga_ls8c_ard_3-2-0_095075_2021-09-19_final
2021-09-19 09:48:17	ga_ls8c_ard_3-2-0_095076_2021-09-19_final
2021-09-19 09:52:17	ga_ls8c_ard_3-2-0_095086_2021-09-19_final
2021-09-19 11:23:35	ga_ls8c_ard_3-2-0_111067_2021-09-19_final
2021-09-19 11:27:58	ga_ls8c_ard_3-2-0_111078_2021-09-19_final
2021-09-19 11:29:10	ga_ls8c_ard_3-2-0_111081_2021-09-19_final
2021-09-19 11:29:58	ga_ls8c_ard_3-2-0_111083_2021-09-19_final
2021-09-19 11:30:22	ga_ls8c_ard_3-2-0_111084_2021-09-19_final
2021-09-19 11:30:46	ga_ls8c_ard_3-2-0_111085_2021-09-19_final
2021-09-20 10:27:58	ga_ls8c_ard_3-2-0_102067_2021-09-20_final
2021-09-20 10:28:46	ga_ls8c_ard_3-2-0_102069_2021-09-20_final
2021-09-20 10:30:21	ga_ls8c_ard_3-2-0_102073_2021-09-20_final
2021-09-20 10:30:45	ga_ls8c_ard_3-2-0_102074_2021-09-20_final
2021-09-20 10:31:09	ga_ls8c_ard_3-2-0_102075_2021-09-20_final
2021-09-20 10:31:57	ga_ls8c_ard_3-2-0_102077_2021-09-20_final
2021-09-21 09:32:45	ga_ls8c_ard_3-2-0_093068_2021-09-21_final
2021-09-21 09:33:56	ga_ls8c_ard_3-2-0_093071_2021-09-21_final
2021-09-21 09:34:44	ga_ls8c_ard_3-2-0_093073_2021-09-21_final
2021-09-21 09:35:08	ga_ls8c_ard_3-2-0_093074_2021-09-21_final
2021-09-21 09:35:32	ga_ls8c_ard_3-2-0_093075_2021-09-21_final
2021-09-21 09:35:56	ga_ls8c_ard_3-2-0_093076_2021-09-21_final
2021-09-21 09:38:20	ga_ls8c_ard_3-2-0_093082_2021-09-21_final
2021-09-21 11:15:13	ga_ls8c_ard_3-2-0_109077_2021-09-21_final
2021-09-21 11:17:13	ga_ls8c_ard_3-2-0_109082_2021-09-21_final
2021-09-21 11:17:37	ga_ls8c_ard_3-2-0_109083_2021-09-21_final
2021-09-21 11:18:01	ga_ls8c_ard_3-2-0_109084_2021-09-21_final
2021-09-21 11:18:25	ga_ls8c_ard_3-2-0_109085_2021-09-21_final
2021-09-22 10:17:36	ga_ls8c_ard_3-2-0_100072_2021-09-22_final
2021-09-22 10:18:24	ga_ls8c_ard_3-2-0_100074_2021-09-22_final
2021-09-22 10:20:48	ga_ls8c_ard_3-2-0_100080_2021-09-22_final
2021-09-22 10:22:47	ga_ls8c_ard_3-2-0_100085_2021-09-22_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2021-09-22 11:58:05	ga_ls8c_ard_3-2-0_116076_2021-09-22_final
2021-09-22 11:58:29	ga_ls8c_ard_3-2-0_116077_2021-09-22_final
2021-09-22 11:58:53	ga_ls8c_ard_3-2-0_116078_2021-09-22_final
2021-09-23 09:21:59	ga_ls8c_ard_3-2-0_091072_2021-09-22_final
2021-09-23 09:23:35	ga_ls8c_ard_3-2-0_091076_2021-09-22_final
2021-09-23 09:23:59	ga_ls8c_ard_3-2-0_091077_2021-09-22_final
2021-09-23 09:24:22	ga_ls8c_ard_3-2-0_091078_2021-09-22_final
2021-09-23 09:24:46	ga_ls8c_ard_3-2-0_091079_2021-09-22_final
2021-09-23 09:27:58	ga_ls8c_ard_3-2-0_091087_2021-09-22_final
2021-09-23 11:00:28	ga_ls8c_ard_3-2-0_107071_2021-09-23_final
2021-09-23 11:02:52	ga_ls8c_ard_3-2-0_107077_2021-09-23_final
2021-09-23 11:04:27	ga_ls8c_ard_3-2-0_107081_2021-09-23_final
2021-09-23 11:05:15	ga_ls8c_ard_3-2-0_107083_2021-09-23_final
2021-09-24 10:04:03	ga_ls8c_ard_3-2-0_098069_2021-09-24_final
2021-09-24 10:04:51	ga_ls8c_ard_3-2-0_098071_2021-09-24_final
2021-09-24 10:05:15	ga_ls8c_ard_3-2-0_098072_2021-09-24_final
2021-09-24 10:05:39	ga_ls8c_ard_3-2-0_098073_2021-09-24_final
2021-09-24 10:06:03	ga_ls8c_ard_3-2-0_098074_2021-09-24_final
2021-09-24 10:09:14	ga_ls8c_ard_3-2-0_098082_2021-09-24_final
2021-09-24 10:10:02	ga_ls8c_ard_3-2-0_098084_2021-09-24_final
2021-09-24 10:10:26	ga_ls8c_ard_3-2-0_098085_2021-09-24_final
2021-09-24 11:45:20	ga_ls8c_ard_3-2-0_114075_2021-09-24_final
2021-09-24 11:45:44	ga_ls8c_ard_3-2-0_114076_2021-09-24_final
2021-09-24 11:46:08	ga_ls8c_ard_3-2-0_114077_2021-09-24_final
2021-09-24 11:46:56	ga_ls8c_ard_3-2-0_114079_2021-09-24_final
2021-09-24 11:47:20	ga_ls8c_ard_3-2-0_114080_2021-09-24_final
2021-09-24 11:47:43	ga_ls8c_ard_3-2-0_114081_2021-09-24_final
2021-09-25 09:12:26	ga_ls8c_ard_3-2-0_089079_2021-09-24_final
2021-09-25 10:46:31	ga_ls8c_ard_3-2-0_105067_2021-09-25_final
2021-09-25 10:46:55	ga_ls8c_ard_3-2-0_105068_2021-09-25_final
2021-09-25 10:52:54	ga_ls8c_ard_3-2-0_105083_2021-09-25_final
2021-09-26 11:30:36	ga_ls8c_ard_3-2-0_112069_2021-09-26_final
2021-09-26 11:31:23	ga_ls8c_ard_3-2-0_112071_2021-09-26_final
2021-09-26 11:31:47	ga_ls8c_ard_3-2-0_112072_2021-09-26_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