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

60 results

Time (local)	Label
2021-05-05 11:29:46	ga_ls8c_ard_3-2-0_112069_2021-05-05_final
2021-05-05 11:32:34	ga_ls8c_ard_3-2-0_112076_2021-05-05_final
2021-05-07 11:17:00	ga_ls8c_ard_3-2-0_110068_2021-05-07_final
2021-05-07 11:20:35	ga_ls8c_ard_3-2-0_110077_2021-05-07_final
2021-05-09 11:04:16	ga_ls8c_ard_3-2-0_108067_2021-05-09_final
2021-05-10 11:49:56	ga_ls8c_ard_3-2-0_115073_2021-05-10_final
2021-05-12 11:37:36	ga_ls8c_ard_3-2-0_113073_2021-05-12_final
2021-05-14 11:30:03	ga_ls8c_ard_3-2-0_111085_2021-05-14_final
2021-05-16 11:10:32	ga_ls8c_ard_3-2-0_109067_2021-05-16_final
2021-05-17 11:56:36	ga_ls8c_ard_3-2-0_116074_2021-05-17_final
2021-05-18 10:58:35	ga_ls8c_ard_3-2-0_107068_2021-05-18_final
2021-05-21 11:29:31	ga_ls8c_ard_3-2-0_112068_2021-05-21_final
2021-05-21 11:29:55	ga_ls8c_ard_3-2-0_112069_2021-05-21_final
2021-05-21 11:30:43	ga_ls8c_ard_3-2-0_112071_2021-05-21_final
2021-05-23 11:17:11	ga_ls8c_ard_3-2-0_110068_2021-05-23_final
2021-05-25 11:04:26	ga_ls8c_ard_3-2-0_108067_2021-05-25_final
2021-05-28 11:37:46	ga_ls8c_ard_3-2-0_113073_2021-05-28_final
2021-05-28 11:40:33	ga_ls8c_ard_3-2-0_113080_2021-05-28_final
2021-05-28 11:40:57	ga_ls8c_ard_3-2-0_113081_2021-05-28_final
2021-05-30 11:26:37	ga_ls8c_ard_3-2-0_111076_2021-05-30_final
2021-05-30 11:27:01	ga_ls8c_ard_3-2-0_111077_2021-05-30_final
2021-05-30 11:27:25	ga_ls8c_ard_3-2-0_111078_2021-05-30_final
2021-05-30 11:30:12	ga_ls8c_ard_3-2-0_111085_2021-05-30_final
2021-06-01 11:15:52	ga_ls8c_ard_3-2-0_109080_2021-06-01_final
2021-06-01 11:17:28	ga_ls8c_ard_3-2-0_109084_2021-06-01_final
2021-06-01 11:17:51	ga_ls8c_ard_3-2-0_109085_2021-06-01_final
2021-06-02 11:57:08	ga_ls8c_ard_3-2-0_116075_2021-06-02_final
2021-06-03 10:58:44	ga_ls8c_ard_3-2-0_107068_2021-06-03_final
2021-06-03 11:05:31	ga_ls8c_ard_3-2-0_107085_2021-06-03_final
2021-06-04 10:10:18	ga_ls8c_ard_3-2-0_098086_2021-06-04_final
2021-06-05 09:15:29	ga_ls8c_ard_3-2-0_089088_2021-06-04_final
2021-06-05 09:16:17	ga_ls8c_ard_3-2-0_089090_2021-06-04_final
2021-06-06 09:50:46	ga_ls8c_ard_3-2-0_096068_2021-06-06_final
2021-06-06 09:51:10	ga_ls8c_ard_3-2-0_096069_2021-06-06_final
2021-06-06 09:58:21	ga_ls8c_ard_3-2-0_096087_2021-06-06_final
2021-06-06 11:29:39	ga_ls8c_ard_3-2-0_112068_2021-06-06_final
2021-06-06 11:30:03	ga_ls8c_ard_3-2-0_112069_2021-06-06_final
2021-06-06 11:30:51	ga_ls8c_ard_3-2-0_112071_2021-06-06_final
2021-06-06 11:31:39	ga_ls8c_ard_3-2-0_112073_2021-06-06_final
2021-06-06 11:36:26	ga_ls8c_ard_3-2-0_112085_2021-06-06_final
2021-06-07 10:33:38	ga_ls8c_ard_3-2-0_103067_2021-06-07_final
2021-06-07 10:40:01	ga_ls8c_ard_3-2-0_103083_2021-06-07_final
2021-06-18 10:16:45	ga_ls8c_ard_3-2-0_100071_2021-06-18_final
2021-06-18 10:17:09	ga_ls8c_ard_3-2-0_100072_2021-06-18_final
2021-06-18 10:17:33	ga_ls8c_ard_3-2-0_100073_2021-06-18_final
2021-06-18 10:17:57	ga_ls8c_ard_3-2-0_100074_2021-06-18_final
2021-06-18 10:18:21	ga_ls8c_ard_3-2-0_100075_2021-06-18_final
2021-06-18 10:18:45	ga_ls8c_ard_3-2-0_100076_2021-06-18_final
2021-06-18 10:19:09	ga_ls8c_ard_3-2-0_100077_2021-06-18_final
2021-06-18 10:19:33	ga_ls8c_ard_3-2-0_100078_2021-06-18_final
2021-06-18 10:19:57	ga_ls8c_ard_3-2-0_100079_2021-06-18_final
2021-06-18 10:20:21	ga_ls8c_ard_3-2-0_100080_2021-06-18_final
2021-06-18 10:20:45	ga_ls8c_ard_3-2-0_100081_2021-06-18_final
2021-06-18 10:21:09	ga_ls8c_ard_3-2-0_100082_2021-06-18_final
2021-06-18 10:21:33	ga_ls8c_ard_3-2-0_100083_2021-06-18_final
2021-06-18 10:21:57	ga_ls8c_ard_3-2-0_100084_2021-06-18_final
2021-06-18 11:57:14	ga_ls8c_ard_3-2-0_116075_2021-06-18_final
2021-06-18 11:57:38	ga_ls8c_ard_3-2-0_116076_2021-06-18_final
2021-06-18 11:58:02	ga_ls8c_ard_3-2-0_116077_2021-06-18_final
2021-06-18 11:58:26	ga_ls8c_ard_3-2-0_116078_2021-06-18_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