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
2021-12-13 10:05:18	ga_ls8c_ard_3-2-1_098072_2021-12-13_final
2021-12-13 10:06:05	ga_ls8c_ard_3-2-1_098074_2021-12-13_final
2021-12-13 10:06:29	ga_ls8c_ard_3-2-1_098075_2021-12-13_final
2021-12-13 10:07:41	ga_ls8c_ard_3-2-1_098078_2021-12-13_final
2021-12-13 10:08:29	ga_ls8c_ard_3-2-1_098080_2021-12-13_final
2021-12-13 11:44:59	ga_ls8c_ard_3-2-1_114074_2021-12-13_final
2021-12-13 11:46:10	ga_ls8c_ard_3-2-1_114077_2021-12-13_final
2021-12-13 11:46:34	ga_ls8c_ard_3-2-1_114078_2021-12-13_final
2021-12-13 11:46:58	ga_ls8c_ard_3-2-1_114079_2021-12-13_final
2021-12-13 11:47:22	ga_ls8c_ard_3-2-1_114080_2021-12-13_final
2021-12-14 09:10:28	ga_ls8c_ard_3-2-1_089074_2021-12-13_final
2021-12-14 09:10:52	ga_ls8c_ard_3-2-1_089075_2021-12-13_final
2021-12-14 09:11:16	ga_ls8c_ard_3-2-1_089076_2021-12-13_final
2021-12-14 09:12:04	ga_ls8c_ard_3-2-1_089078_2021-12-13_final
2021-12-14 09:12:28	ga_ls8c_ard_3-2-1_089079_2021-12-13_final
2021-12-14 09:13:16	ga_ls8c_ard_3-2-1_089081_2021-12-13_final
2021-12-14 09:16:27	ga_ls8c_ard_3-2-1_089089_2021-12-13_final
2021-12-14 10:48:09	ga_ls8c_ard_3-2-1_105071_2021-12-14_final
2021-12-14 10:48:33	ga_ls8c_ard_3-2-1_105072_2021-12-14_final
2021-12-14 10:48:57	ga_ls8c_ard_3-2-1_105073_2021-12-14_final
2021-12-14 10:49:21	ga_ls8c_ard_3-2-1_105074_2021-12-14_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2021-12-14 10:50:09	ga_ls8c_ard_3-2-1_105076_2021-12-14_final
2021-12-14 10:50:33	ga_ls8c_ard_3-2-1_105077_2021-12-14_final
2021-12-14 10:51:45	ga_ls8c_ard_3-2-1_105080_2021-12-14_final
2021-12-14 10:52:09	ga_ls8c_ard_3-2-1_105081_2021-12-14_final
2021-12-14 10:52:33	ga_ls8c_ard_3-2-1_105082_2021-12-14_final
2021-12-14 10:52:57	ga_ls8c_ard_3-2-1_105083_2021-12-14_final
2021-12-15 09:55:43	ga_ls8c_ard_3-2-1_096079_2021-12-15_final
2021-12-15 09:58:07	ga_ls8c_ard_3-2-1_096085_2021-12-15_final
2021-12-15 11:33:01	ga_ls8c_ard_3-2-1_112075_2021-12-15_final
2021-12-15 11:33:24	ga_ls8c_ard_3-2-1_112076_2021-12-15_final
2021-12-15 11:33:48	ga_ls8c_ard_3-2-1_112077_2021-12-15_final
2021-12-15 11:34:12	ga_ls8c_ard_3-2-1_112078_2021-12-15_final
2021-12-15 11:34:36	ga_ls8c_ard_3-2-1_112079_2021-12-15_final
2021-12-15 11:36:12	ga_ls8c_ard_3-2-1_112083_2021-12-15_final
2021-12-16 10:34:59	ga_ls8c_ard_3-2-1_103069_2021-12-16_final
2021-12-16 10:35:23	ga_ls8c_ard_3-2-1_103070_2021-12-16_final
2021-12-16 10:35:47	ga_ls8c_ard_3-2-1_103071_2021-12-16_final
2021-12-17 09:42:33	ga_ls8c_ard_3-2-1_094077_2021-12-17_final
2021-12-17 09:42:57	ga_ls8c_ard_3-2-1_094078_2021-12-17_final
2021-12-17 09:44:09	ga_ls8c_ard_3-2-1_094081_2021-12-17_final
2021-12-17 09:44:33	ga_ls8c_ard_3-2-1_094082_2021-12-17_final
2021-12-17 09:44:57	ga_ls8c_ard_3-2-1_094083_2021-12-17_final
2021-12-17 09:45:21	ga_ls8c_ard_3-2-1_094084_2021-12-17_final
2021-12-17 09:45:45	ga_ls8c_ard_3-2-1_094085_2021-12-17_final
2021-12-17 11:18:15	ga_ls8c_ard_3-2-1_110069_2021-12-17_final
2021-12-17 11:23:50	ga_ls8c_ard_3-2-1_110083_2021-12-17_final
2021-12-17 11:24:14	ga_ls8c_ard_3-2-1_110084_2021-12-17_final
2021-12-18 10:24:37	ga_ls8c_ard_3-2-1_101074_2021-12-18_final
2021-12-18 10:26:13	ga_ls8c_ard_3-2-1_101078_2021-12-18_final
2021-12-18 10:27:25	ga_ls8c_ard_3-2-1_101081_2021-12-18_final
2021-12-18 10:27:49	ga_ls8c_ard_3-2-1_101082_2021-12-18_final
2021-12-18 10:28:12	ga_ls8c_ard_3-2-1_101083_2021-12-18_final
2021-12-19 09:31:23	ga_ls8c_ard_3-2-1_092080_2021-12-19_final
2021-12-19 09:33:23	ga_ls8c_ard_3-2-1_092085_2021-12-19_final
2021-12-19 11:07:05	ga_ls8c_ard_3-2-1_108072_2021-12-19_final
2021-12-19 11:07:28	ga_ls8c_ard_3-2-1_108073_2021-12-19_final
2021-12-19 11:07:52	ga_ls8c_ard_3-2-1_108074_2021-12-19_final
2021-12-19 11:08:16	ga_ls8c_ard_3-2-1_108075_2021-12-19_final
2021-12-19 11:09:04	ga_ls8c_ard_3-2-1_108077_2021-12-19_final
2021-12-20 10:15:26	ga_ls8c_ard_3-2-1_099082_2021-12-20_final
2021-12-20 10:15:50	ga_ls8c_ard_3-2-1_099083_2021-12-20_final
2021-12-20 11:51:32	ga_ls8c_ard_3-2-1_115075_2021-12-20_final
2021-12-21 09:17:01	ga_ls8c_ard_3-2-1_090075_2021-12-20_final
2021-12-21 09:17:49	ga_ls8c_ard_3-2-1_090077_2021-12-20_final
2021-12-21 09:18:13	ga_ls8c_ard_3-2-1_090078_2021-12-20_final
2021-12-21 09:19:01	ga_ls8c_ard_3-2-1_090080_2021-12-20_final
2021-12-21 09:19:25	ga_ls8c_ard_3-2-1_090081_2021-12-20_final
2021-12-21 10:53:07	ga_ls8c_ard_3-2-1_106068_2021-12-21_final
2021-12-21 10:53:31	ga_ls8c_ard_3-2-1_106069_2021-12-21_final
2021-12-21 10:54:18	ga_ls8c_ard_3-2-1_106071_2021-12-21_final
2021-12-21 10:54:42	ga_ls8c_ard_3-2-1_106072_2021-12-21_final
2021-12-21 10:58:42	ga_ls8c_ard_3-2-1_106082_2021-12-21_final
2021-12-22 09:57:53	ga_ls8c_ard_3-2-1_097069_2021-12-22_final
2021-12-22 09:59:05	ga_ls8c_ard_3-2-1_097072_2021-12-22_final
2021-12-22 09:59:53	ga_ls8c_ard_3-2-1_097074_2021-12-22_final
2021-12-22 10:00:17	ga_ls8c_ard_3-2-1_097075_2021-12-22_final
2021-12-22 10:00:40	ga_ls8c_ard_3-2-1_097076_2021-12-22_final
2021-12-22 10:01:04	ga_ls8c_ard_3-2-1_097077_2021-12-22_final
2021-12-22 11:41:09	ga_ls8c_ard_3-2-1_113080_2021-12-22_final
2021-12-22 11:41:57	ga_ls8c_ard_3-2-1_113082_2021-12-22_final
2021-12-22 11:42:21	ga_ls8c_ard_3-2-1_113083_2021-12-22_final
2021-12-23 10:40:44	ga_ls8c_ard_3-2-1_104068_2021-12-23_final
2021-12-23 10:41:32	ga_ls8c_ard_3-2-1_104070_2021-12-23_final
2021-12-23 10:42:20	ga_ls8c_ard_3-2-1_104072_2021-12-23_final
2021-12-23 10:42:44	ga_ls8c_ard_3-2-1_104073_2021-12-23_final
2021-12-23 10:43:08	ga_ls8c_ard_3-2-1_104074_2021-12-23_final
2021-12-24 09:49:54	ga_ls8c_ard_3-2-1_095080_2021-12-24_final
2021-12-24 09:50:42	ga_ls8c_ard_3-2-1_095082_2021-12-24_final
2021-12-24 09:51:30	ga_ls8c_ard_3-2-1_095084_2021-12-24_final
2021-12-24 09:52:18	ga_ls8c_ard_3-2-1_095086_2021-12-24_final
2021-12-24 11:27:35	ga_ls8c_ard_3-2-1_111077_2021-12-24_final
2021-12-24 11:28:23	ga_ls8c_ard_3-2-1_111079_2021-12-24_final
2021-12-24 11:28:47	ga_ls8c_ard_3-2-1_111080_2021-12-24_final
2021-12-26 09:36:19	ga_ls8c_ard_3-2-1_093077_2021-12-26_final
2021-12-26 11:13:13	ga_ls8c_ard_3-2-1_109072_2021-12-26_final
2021-12-26 11:15:12	ga_ls8c_ard_3-2-1_109077_2021-12-26_final
2021-12-26 11:15:36	ga_ls8c_ard_3-2-1_109078_2021-12-26_final
2021-12-26 11:16:00	ga_ls8c_ard_3-2-1_109079_2021-12-26_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years