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
2020-06-10 11:37:15	ga_ls8c_ard_3-1-0_113072_2020-06-10_final
2020-06-10 11:38:03	ga_ls8c_ard_3-1-0_113074_2020-06-10_final
2020-06-10 11:38:26	ga_ls8c_ard_3-1-0_113075_2020-06-10_final
2020-06-10 11:38:50	ga_ls8c_ard_3-1-0_113076_2020-06-10_final
2020-06-14 11:11:46	ga_ls8c_ard_3-1-0_109070_2020-06-14_final
2020-06-16 10:58:14	ga_ls8c_ard_3-1-0_107067_2020-06-16_final
2020-06-16 10:59:25	ga_ls8c_ard_3-1-0_107070_2020-06-16_final
2020-06-16 11:00:13	ga_ls8c_ard_3-1-0_107072_2020-06-16_final
2020-06-16 11:02:13	ga_ls8c_ard_3-1-0_107077_2020-06-16_final
2020-06-21 11:17:37	ga_ls8c_ard_3-1-0_110069_2020-06-21_final
2020-06-21 11:18:00	ga_ls8c_ard_3-1-0_110070_2020-06-21_final
2020-06-21 11:18:24	ga_ls8c_ard_3-1-0_110071_2020-06-21_final
2020-06-21 11:18:48	ga_ls8c_ard_3-1-0_110072_2020-06-21_final
2020-06-21 11:19:12	ga_ls8c_ard_3-1-0_110073_2020-06-21_final
2020-06-21 11:20:00	ga_ls8c_ard_3-1-0_110075_2020-06-21_final
2020-06-21 11:20:24	ga_ls8c_ard_3-1-0_110076_2020-06-21_final
2020-06-21 11:20:48	ga_ls8c_ard_3-1-0_110077_2020-06-21_final
2020-06-21 11:21:12	ga_ls8c_ard_3-1-0_110078_2020-06-21_final
2020-06-21 11:21:36	ga_ls8c_ard_3-1-0_110079_2020-06-21_final
2020-06-21 11:22:00	ga_ls8c_ard_3-1-0_110080_2020-06-21_final
2020-06-21 11:22:24	ga_ls8c_ard_3-1-0_110081_2020-06-21_final
2020-06-21 11:22:48	ga_ls8c_ard_3-1-0_110082_2020-06-21_final
2020-06-21 11:23:12	ga_ls8c_ard_3-1-0_110083_2020-06-21_final
2020-06-21 11:23:36	ga_ls8c_ard_3-1-0_110084_2020-06-21_final
2020-06-21 11:24:00	ga_ls8c_ard_3-1-0_110085_2020-06-21_final
2020-06-23 11:04:28	ga_ls8c_ard_3-1-0_108067_2020-06-23_final
2020-06-23 11:04:52	ga_ls8c_ard_3-1-0_108068_2020-06-23_final
2020-06-23 11:05:16	ga_ls8c_ard_3-1-0_108069_2020-06-23_final
2020-06-23 11:05:40	ga_ls8c_ard_3-1-0_108070_2020-06-23_final
2020-06-23 11:06:04	ga_ls8c_ard_3-1-0_108071_2020-06-23_final
2020-06-23 11:06:28	ga_ls8c_ard_3-1-0_108072_2020-06-23_final
2020-06-23 11:06:52	ga_ls8c_ard_3-1-0_108073_2020-06-23_final
2020-06-23 11:07:16	ga_ls8c_ard_3-1-0_108074_2020-06-23_final
2020-06-23 11:07:40	ga_ls8c_ard_3-1-0_108075_2020-06-23_final
2020-06-23 11:08:03	ga_ls8c_ard_3-1-0_108076_2020-06-23_final
2020-06-23 11:08:27	ga_ls8c_ard_3-1-0_108077_2020-06-23_final
2020-06-23 11:08:51	ga_ls8c_ard_3-1-0_108078_2020-06-23_final
2020-06-23 11:09:15	ga_ls8c_ard_3-1-0_108079_2020-06-23_final
2020-06-23 11:09:39	ga_ls8c_ard_3-1-0_108080_2020-06-23_final
2020-06-23 11:10:03	ga_ls8c_ard_3-1-0_108081_2020-06-23_final
2020-06-23 11:10:27	ga_ls8c_ard_3-1-0_108082_2020-06-23_final
2020-06-25 09:18:26	ga_ls8c_ard_3-1-0_090080_2020-06-24_final
2020-06-25 09:20:01	ga_ls8c_ard_3-1-0_090084_2020-06-24_final
2020-06-25 09:20:25	ga_ls8c_ard_3-1-0_090085_2020-06-24_final
2020-06-25 09:22:01	ga_ls8c_ard_3-1-0_090089_2020-06-24_final
2020-06-25 10:52:55	ga_ls8c_ard_3-1-0_106069_2020-06-25_final
2020-06-25 10:53:19	ga_ls8c_ard_3-1-0_106070_2020-06-25_final
2020-06-25 10:53:43	ga_ls8c_ard_3-1-0_106071_2020-06-25_final
2020-06-25 10:54:07	ga_ls8c_ard_3-1-0_106072_2020-06-25_final
2020-06-25 10:55:19	ga_ls8c_ard_3-1-0_106075_2020-06-25_final
2020-06-25 10:55:43	ga_ls8c_ard_3-1-0_106076_2020-06-25_final
2020-06-25 10:56:07	ga_ls8c_ard_3-1-0_106077_2020-06-25_final
2020-06-25 10:56:55	ga_ls8c_ard_3-1-0_106079_2020-06-25_final
2020-06-25 10:57:19	ga_ls8c_ard_3-1-0_106080_2020-06-25_final
2020-06-25 10:57:43	ga_ls8c_ard_3-1-0_106081_2020-06-25_final
2020-06-25 10:58:07	ga_ls8c_ard_3-1-0_106082_2020-06-25_final
2020-06-25 10:58:30	ga_ls8c_ard_3-1-0_106083_2020-06-25_final
2020-06-25 10:58:54	ga_ls8c_ard_3-1-0_106084_2020-06-25_final
2020-06-26 11:35:24	ga_ls8c_ard_3-1-0_113067_2020-06-26_final
2020-06-26 11:37:23	ga_ls8c_ard_3-1-0_113072_2020-06-26_final
2020-06-26 11:38:35	ga_ls8c_ard_3-1-0_113075_2020-06-26_final
2020-06-27 09:06:05	ga_ls8c_ard_3-1-0_088080_2020-06-26_final
2020-06-27 09:06:53	ga_ls8c_ard_3-1-0_088082_2020-06-26_final
2020-06-28 11:23:03	ga_ls8c_ard_3-1-0_111067_2020-06-28_final
2020-06-28 11:23:27	ga_ls8c_ard_3-1-0_111068_2020-06-28_final
2020-06-28 11:23:51	ga_ls8c_ard_3-1-0_111069_2020-06-28_final
2020-06-28 11:24:39	ga_ls8c_ard_3-1-0_111071_2020-06-28_final
2020-06-28 11:25:03	ga_ls8c_ard_3-1-0_111072_2020-06-28_final
2020-06-28 11:25:27	ga_ls8c_ard_3-1-0_111073_2020-06-28_final
2020-06-28 11:25:50	ga_ls8c_ard_3-1-0_111074_2020-06-28_final
2020-06-28 11:26:38	ga_ls8c_ard_3-1-0_111076_2020-06-28_final
2020-06-28 11:27:02	ga_ls8c_ard_3-1-0_111077_2020-06-28_final
2020-06-28 11:27:26	ga_ls8c_ard_3-1-0_111078_2020-06-28_final
2020-06-28 11:27:50	ga_ls8c_ard_3-1-0_111079_2020-06-28_final
2020-06-28 11:28:14	ga_ls8c_ard_3-1-0_111080_2020-06-28_final
2020-06-28 11:28:38	ga_ls8c_ard_3-1-0_111081_2020-06-28_final
2020-06-28 11:29:02	ga_ls8c_ard_3-1-0_111082_2020-06-28_final
2020-06-28 11:29:26	ga_ls8c_ard_3-1-0_111083_2020-06-28_final
2020-06-28 11:29:50	ga_ls8c_ard_3-1-0_111084_2020-06-28_final
2020-06-28 11:30:14	ga_ls8c_ard_3-1-0_111085_2020-06-28_final
2020-06-30 11:10:42	ga_ls8c_ard_3-1-0_109067_2020-06-30_final
2020-06-30 11:11:06	ga_ls8c_ard_3-1-0_109068_2020-06-30_final
2020-06-30 11:11:54	ga_ls8c_ard_3-1-0_109070_2020-06-30_final
2020-06-30 11:12:18	ga_ls8c_ard_3-1-0_109071_2020-06-30_final
2020-06-30 11:12:42	ga_ls8c_ard_3-1-0_109072_2020-06-30_final
2020-06-30 11:13:06	ga_ls8c_ard_3-1-0_109073_2020-06-30_final
2020-06-30 11:13:30	ga_ls8c_ard_3-1-0_109074_2020-06-30_final
2020-06-30 11:13:54	ga_ls8c_ard_3-1-0_109075_2020-06-30_final
2020-06-30 11:14:18	ga_ls8c_ard_3-1-0_109076_2020-06-30_final
2020-06-30 11:14:42	ga_ls8c_ard_3-1-0_109077_2020-06-30_final
2020-06-30 11:15:06	ga_ls8c_ard_3-1-0_109078_2020-06-30_final
2020-06-30 11:15:29	ga_ls8c_ard_3-1-0_109079_2020-06-30_final
2020-06-30 11:15:53	ga_ls8c_ard_3-1-0_109080_2020-06-30_final
2020-06-30 11:17:05	ga_ls8c_ard_3-1-0_109083_2020-06-30_final
2020-06-30 11:17:29	ga_ls8c_ard_3-1-0_109084_2020-06-30_final
2020-06-30 11:17:53	ga_ls8c_ard_3-1-0_109085_2020-06-30_final
2020-07-01 11:56:46	ga_ls8c_ard_3-1-0_116074_2020-07-01_final
2020-07-01 11:57:10	ga_ls8c_ard_3-1-0_116075_2020-07-01_final
2020-07-01 11:57:34	ga_ls8c_ard_3-1-0_116076_2020-07-01_final
2020-07-01 11:57:58	ga_ls8c_ard_3-1-0_116077_2020-07-01_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