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
2021-09-15 10:11:48	ga_ls8c_ard_3-2-0_099073_2021-09-15_final
2021-09-15 10:13:00	ga_ls8c_ard_3-2-0_099076_2021-09-15_final
2021-09-15 11:51:29	ga_ls8c_ard_3-2-0_115075_2021-09-15_final
2021-09-15 11:53:05	ga_ls8c_ard_3-2-0_115079_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 09:19:23	ga_ls8c_ard_3-2-0_090081_2021-09-15_final
2021-09-16 09:19:47	ga_ls8c_ard_3-2-0_090082_2021-09-15_final
2021-09-16 09:20:11	ga_ls8c_ard_3-2-0_090083_2021-09-15_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
2021-09-16 10:58:16	ga_ls8c_ard_3-2-0_106081_2021-09-16_final
2021-09-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2021-09-16_final
2021-09-16 10:59:04	ga_ls8c_ard_3-2-0_106083_2021-09-16_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 10:00:15	ga_ls8c_ard_3-2-0_097075_2021-09-17_final
2021-09-17 10:00:39	ga_ls8c_ard_3-2-0_097076_2021-09-17_final
2021-09-17 11:37:56	ga_ls8c_ard_3-2-0_113072_2021-09-17_final
2021-09-17 11:39:08	ga_ls8c_ard_3-2-0_113075_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
2021-09-18 10:46:18	ga_ls8c_ard_3-2-0_104082_2021-09-18_final
2021-09-19 09:47:06	ga_ls8c_ard_3-2-0_095073_2021-09-19_final
2021-09-19 09:47:54	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 09:48:41	ga_ls8c_ard_3-2-0_095077_2021-09-19_final
2021-09-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2021-09-19_final
2021-09-19 09:49:53	ga_ls8c_ard_3-2-0_095080_2021-09-19_final
2021-09-19 09:50:41	ga_ls8c_ard_3-2-0_095082_2021-09-19_final
2021-09-19 11:23:35	ga_ls8c_ard_3-2-0_111067_2021-09-19_final
2021-09-19 11:23:59	ga_ls8c_ard_3-2-0_111068_2021-09-19_final
2021-09-19 11:24:23	ga_ls8c_ard_3-2-0_111069_2021-09-19_final
2021-09-19 11:24:47	ga_ls8c_ard_3-2-0_111070_2021-09-19_final
2021-09-19 11:29:58	ga_ls8c_ard_3-2-0_111083_2021-09-19_final
2021-09-20 10:30:21	ga_ls8c_ard_3-2-0_102073_2021-09-20_final
2021-09-20 10:31:09	ga_ls8c_ard_3-2-0_102075_2021-09-20_final
2021-09-20 10:31:33	ga_ls8c_ard_3-2-0_102076_2021-09-20_final
2021-09-20 10:31:57	ga_ls8c_ard_3-2-0_102077_2021-09-20_final
2021-09-20 10:32:21	ga_ls8c_ard_3-2-0_102078_2021-09-20_final
2021-09-20 10:33:09	ga_ls8c_ard_3-2-0_102080_2021-09-20_final
2021-09-20 10:33:33	ga_ls8c_ard_3-2-0_102081_2021-09-20_final
2021-09-21 09:35:56	ga_ls8c_ard_3-2-0_093076_2021-09-21_final
2021-09-21 09:36:20	ga_ls8c_ard_3-2-0_093077_2021-09-21_final
2021-09-21 11:11:14	ga_ls8c_ard_3-2-0_109067_2021-09-21_final
2021-09-21 11:11:38	ga_ls8c_ard_3-2-0_109068_2021-09-21_final
2021-09-21 11:14:49	ga_ls8c_ard_3-2-0_109076_2021-09-21_final
2021-09-21 11:15:13	ga_ls8c_ard_3-2-0_109077_2021-09-21_final
2021-09-21 11:17:37	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 10:18:24	ga_ls8c_ard_3-2-0_100074_2021-09-22_final
2021-09-22 10:19:12	ga_ls8c_ard_3-2-0_100076_2021-09-22_final
2021-09-22 10:19:36	ga_ls8c_ard_3-2-0_100077_2021-09-22_final
2021-09-22 10:21:12	ga_ls8c_ard_3-2-0_100081_2021-09-22_final
2021-09-22 11:58:53	ga_ls8c_ard_3-2-0_116078_2021-09-22_final
2021-09-23 09:24:22	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 09:25:10	ga_ls8c_ard_3-2-0_091080_2021-09-22_final
2021-09-23 09:25:34	ga_ls8c_ard_3-2-0_091081_2021-09-22_final
2021-09-23 09:25:58	ga_ls8c_ard_3-2-0_091082_2021-09-22_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 11:04:51	ga_ls8c_ard_3-2-0_107082_2021-09-23_final
2021-09-23 11:05:15	ga_ls8c_ard_3-2-0_107083_2021-09-23_final
2021-09-23 11:05:39	ga_ls8c_ard_3-2-0_107084_2021-09-23_final
2021-09-23 11:06:03	ga_ls8c_ard_3-2-0_107085_2021-09-23_final
2021-09-24 10:04:03	ga_ls8c_ard_3-2-0_098069_2021-09-24_final
2021-09-24 10:05:15	ga_ls8c_ard_3-2-0_098072_2021-09-24_final
2021-09-24 10:06:03	ga_ls8c_ard_3-2-0_098074_2021-09-24_final
2021-09-24 10:06:27	ga_ls8c_ard_3-2-0_098075_2021-09-24_final
2021-09-24 10:06:51	ga_ls8c_ard_3-2-0_098076_2021-09-24_final
2021-09-24 10:07:15	ga_ls8c_ard_3-2-0_098077_2021-09-24_final
2021-09-24 10:07:39	ga_ls8c_ard_3-2-0_098078_2021-09-24_final
2021-09-24 11:45:20	ga_ls8c_ard_3-2-0_114075_2021-09-24_final
2021-09-24 11:46:32	ga_ls8c_ard_3-2-0_114078_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 10:49:19	ga_ls8c_ard_3-2-0_105074_2021-09-25_final
2021-09-25 10:52:54	ga_ls8c_ard_3-2-0_105083_2021-09-25_final
2021-09-26 09:50:55	ga_ls8c_ard_3-2-0_096067_2021-09-26_final
2021-09-26 09:51:19	ga_ls8c_ard_3-2-0_096068_2021-09-26_final
2021-09-26 09:51:42	ga_ls8c_ard_3-2-0_096069_2021-09-26_final
2021-09-26 09:52:06	ga_ls8c_ard_3-2-0_096070_2021-09-26_final
2021-09-26 09:54:54	ga_ls8c_ard_3-2-0_096077_2021-09-26_final
2021-09-26 09:57:42	ga_ls8c_ard_3-2-0_096084_2021-09-26_final
2021-09-26 09:58:06	ga_ls8c_ard_3-2-0_096085_2021-09-26_final
2021-09-26 09:58:29	ga_ls8c_ard_3-2-0_096086_2021-09-26_final
2021-09-26 11:30:12	ga_ls8c_ard_3-2-0_112068_2021-09-26_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
2021-09-26 11:32:11	ga_ls8c_ard_3-2-0_112073_2021-09-26_final
2021-09-26 11:32:59	ga_ls8c_ard_3-2-0_112075_2021-09-26_final
2021-09-26 11:33:23	ga_ls8c_ard_3-2-0_112076_2021-09-26_final
2021-09-26 11:34:11	ga_ls8c_ard_3-2-0_112078_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years