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
2020-06-24 10:08:51	ga_ls8c_ard_3-1-0_099067_2020-06-24_final
2020-06-24 10:10:27	ga_ls8c_ard_3-1-0_099071_2020-06-24_final
2020-06-24 10:10:51	ga_ls8c_ard_3-1-0_099072_2020-06-24_final
2020-06-24 10:13:38	ga_ls8c_ard_3-1-0_099079_2020-06-24_final
2020-06-24 10:14:26	ga_ls8c_ard_3-1-0_099081_2020-06-24_final
2020-06-24 10:14:50	ga_ls8c_ard_3-1-0_099082_2020-06-24_final
2020-06-24 10:16:02	ga_ls8c_ard_3-1-0_099085_2020-06-24_final
2020-06-26 10:02:54	ga_ls8c_ard_3-1-0_097083_2020-06-26_final
2020-06-26 10:03:42	ga_ls8c_ard_3-1-0_097085_2020-06-26_final
2020-07-01 10:16:41	ga_ls8c_ard_3-1-0_100071_2020-07-01_final
2020-07-01 10:17:05	ga_ls8c_ard_3-1-0_100072_2020-07-01_final
2020-07-01 10:17:29	ga_ls8c_ard_3-1-0_100073_2020-07-01_final
2020-07-01 10:17:53	ga_ls8c_ard_3-1-0_100074_2020-07-01_final
2020-07-01 10:18:17	ga_ls8c_ard_3-1-0_100075_2020-07-01_final
2020-07-01 10:18:41	ga_ls8c_ard_3-1-0_100076_2020-07-01_final
2020-07-01 10:19:05	ga_ls8c_ard_3-1-0_100077_2020-07-01_final
2020-07-01 10:19:29	ga_ls8c_ard_3-1-0_100078_2020-07-01_final
2020-07-01 10:19:53	ga_ls8c_ard_3-1-0_100079_2020-07-01_final
2020-07-01 10:20:17	ga_ls8c_ard_3-1-0_100080_2020-07-01_final
2020-07-01 10:20:40	ga_ls8c_ard_3-1-0_100081_2020-07-01_final
2020-07-01 10:21:04	ga_ls8c_ard_3-1-0_100082_2020-07-01_final
2020-07-01 10:21:28	ga_ls8c_ard_3-1-0_100083_2020-07-01_final
2020-07-01 10:21:52	ga_ls8c_ard_3-1-0_100084_2020-07-01_final
2020-07-03 10:02:45	ga_ls8c_ard_3-1-0_098067_2020-07-03_final
2020-07-03 10:03:08	ga_ls8c_ard_3-1-0_098068_2020-07-03_final
2020-07-03 10:04:20	ga_ls8c_ard_3-1-0_098071_2020-07-03_final
2020-07-03 10:05:32	ga_ls8c_ard_3-1-0_098074_2020-07-03_final
2020-07-03 10:06:44	ga_ls8c_ard_3-1-0_098077_2020-07-03_final
2020-07-03 10:08:20	ga_ls8c_ard_3-1-0_098081_2020-07-03_final
2020-07-03 10:08:44	ga_ls8c_ard_3-1-0_098082_2020-07-03_final
2020-07-03 10:09:56	ga_ls8c_ard_3-1-0_098085_2020-07-03_final
2020-07-10 10:08:58	ga_ls8c_ard_3-1-0_099067_2020-07-10_final
2020-07-10 10:10:34	ga_ls8c_ard_3-1-0_099071_2020-07-10_final
2020-07-10 10:11:22	ga_ls8c_ard_3-1-0_099073_2020-07-10_final
2020-07-10 10:12:10	ga_ls8c_ard_3-1-0_099075_2020-07-10_final
2020-07-10 10:13:45	ga_ls8c_ard_3-1-0_099079_2020-07-10_final
2020-07-10 10:14:33	ga_ls8c_ard_3-1-0_099081_2020-07-10_final
2020-07-10 10:14:57	ga_ls8c_ard_3-1-0_099082_2020-07-10_final
2020-07-12 10:01:25	ga_ls8c_ard_3-1-0_097079_2020-07-12_final
2020-07-12 10:03:00	ga_ls8c_ard_3-1-0_097083_2020-07-12_final
2020-07-12 10:03:48	ga_ls8c_ard_3-1-0_097085_2020-07-12_final
2020-07-17 10:16:47	ga_ls8c_ard_3-1-0_100071_2020-07-17_final
2020-07-17 10:17:11	ga_ls8c_ard_3-1-0_100072_2020-07-17_final
2020-07-17 10:17:35	ga_ls8c_ard_3-1-0_100073_2020-07-17_final
2020-07-17 10:17:59	ga_ls8c_ard_3-1-0_100074_2020-07-17_final
2020-07-17 10:18:23	ga_ls8c_ard_3-1-0_100075_2020-07-17_final
2020-07-17 10:18:47	ga_ls8c_ard_3-1-0_100076_2020-07-17_final
2020-07-17 10:19:11	ga_ls8c_ard_3-1-0_100077_2020-07-17_final
2020-07-17 10:19:35	ga_ls8c_ard_3-1-0_100078_2020-07-17_final
2020-07-17 10:19:59	ga_ls8c_ard_3-1-0_100079_2020-07-17_final
2020-07-17 10:20:23	ga_ls8c_ard_3-1-0_100080_2020-07-17_final
2020-07-17 10:20:47	ga_ls8c_ard_3-1-0_100081_2020-07-17_final
2020-07-17 10:21:11	ga_ls8c_ard_3-1-0_100082_2020-07-17_final
2020-07-17 10:21:34	ga_ls8c_ard_3-1-0_100083_2020-07-17_final
2020-07-17 10:21:58	ga_ls8c_ard_3-1-0_100084_2020-07-17_final
2020-07-19 10:02:50	ga_ls8c_ard_3-1-0_098067_2020-07-19_final
2020-07-19 10:03:14	ga_ls8c_ard_3-1-0_098068_2020-07-19_final
2020-07-19 10:04:26	ga_ls8c_ard_3-1-0_098071_2020-07-19_final
2020-07-19 10:05:38	ga_ls8c_ard_3-1-0_098074_2020-07-19_final
2020-07-19 10:06:50	ga_ls8c_ard_3-1-0_098077_2020-07-19_final
2020-07-19 10:08:26	ga_ls8c_ard_3-1-0_098081_2020-07-19_final
2020-07-19 10:08:50	ga_ls8c_ard_3-1-0_098082_2020-07-19_final
2020-07-19 10:10:01	ga_ls8c_ard_3-1-0_098085_2020-07-19_final
2020-07-24 10:21:24	ga_ls8c_ard_3-1-0_101067_2020-07-24_final
2020-07-26 10:09:03	ga_ls8c_ard_3-1-0_099067_2020-07-26_final
2020-07-26 10:10:39	ga_ls8c_ard_3-1-0_099071_2020-07-26_final
2020-07-26 10:11:03	ga_ls8c_ard_3-1-0_099072_2020-07-26_final
2020-07-26 10:12:15	ga_ls8c_ard_3-1-0_099075_2020-07-26_final
2020-07-26 10:14:38	ga_ls8c_ard_3-1-0_099081_2020-07-26_final
2020-07-26 10:15:02	ga_ls8c_ard_3-1-0_099082_2020-07-26_final
2020-07-26 10:16:14	ga_ls8c_ard_3-1-0_099085_2020-07-26_final
2020-07-28 10:03:05	ga_ls8c_ard_3-1-0_097083_2020-07-28_final
2020-07-28 10:03:53	ga_ls8c_ard_3-1-0_097085_2020-07-28_final
2020-07-28 10:04:17	ga_ls8c_ard_3-1-0_097086_2020-07-28_final
2020-08-02 10:15:16	ga_ls8c_ard_3-1-0_100067_2020-08-02_final
2020-08-02 10:16:27	ga_ls8c_ard_3-1-0_100070_2020-08-02_final
2020-08-02 10:16:51	ga_ls8c_ard_3-1-0_100071_2020-08-02_final
2020-08-02 10:17:15	ga_ls8c_ard_3-1-0_100072_2020-08-02_final
2020-08-02 10:17:39	ga_ls8c_ard_3-1-0_100073_2020-08-02_final
2020-08-02 10:18:03	ga_ls8c_ard_3-1-0_100074_2020-08-02_final
2020-08-02 10:18:27	ga_ls8c_ard_3-1-0_100075_2020-08-02_final
2020-08-02 10:18:51	ga_ls8c_ard_3-1-0_100076_2020-08-02_final
2020-08-02 10:19:15	ga_ls8c_ard_3-1-0_100077_2020-08-02_final
2020-08-02 10:19:39	ga_ls8c_ard_3-1-0_100078_2020-08-02_final
2020-08-02 10:20:03	ga_ls8c_ard_3-1-0_100079_2020-08-02_final
2020-08-02 10:20:27	ga_ls8c_ard_3-1-0_100080_2020-08-02_final
2020-08-02 10:20:51	ga_ls8c_ard_3-1-0_100081_2020-08-02_final
2020-08-02 10:21:15	ga_ls8c_ard_3-1-0_100082_2020-08-02_final
2020-08-02 10:21:39	ga_ls8c_ard_3-1-0_100083_2020-08-02_final
2020-08-02 10:22:03	ga_ls8c_ard_3-1-0_100084_2020-08-02_final
2020-08-02 10:22:27	ga_ls8c_ard_3-1-0_100085_2020-08-02_final
2020-08-04 10:02:54	ga_ls8c_ard_3-1-0_098067_2020-08-04_final
2020-08-04 10:03:18	ga_ls8c_ard_3-1-0_098068_2020-08-04_final
2020-08-04 10:04:30	ga_ls8c_ard_3-1-0_098071_2020-08-04_final
2020-08-04 10:05:42	ga_ls8c_ard_3-1-0_098074_2020-08-04_final
2020-08-04 10:06:06	ga_ls8c_ard_3-1-0_098075_2020-08-04_final
2020-08-04 10:06:54	ga_ls8c_ard_3-1-0_098077_2020-08-04_final
2020-08-04 10:08:30	ga_ls8c_ard_3-1-0_098081_2020-08-04_final
2020-08-04 10:08:53	ga_ls8c_ard_3-1-0_098082_2020-08-04_final
2020-08-04 10:10:05	ga_ls8c_ard_3-1-0_098085_2020-08-04_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