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
2020-09-30 09:57:29	ga_ls8c_ard_3-1-0_097068_2020-09-30_final
2020-10-01 09:06:15	ga_ls8c_ard_3-1-0_088079_2020-09-30_final
2020-10-01 09:06:39	ga_ls8c_ard_3-1-0_088080_2020-09-30_final
2020-10-01 09:07:51	ga_ls8c_ard_3-1-0_088083_2020-09-30_final
2020-10-01 09:08:15	ga_ls8c_ard_3-1-0_088084_2020-09-30_final
2020-10-01 10:41:56	ga_ls8c_ard_3-1-0_104071_2020-10-01_final
2020-10-01 10:42:20	ga_ls8c_ard_3-1-0_104072_2020-10-01_final
2020-10-01 10:44:44	ga_ls8c_ard_3-1-0_104078_2020-10-01_final
2020-10-01 10:45:56	ga_ls8c_ard_3-1-0_104081_2020-10-01_final
2020-10-02 09:44:43	ga_ls8c_ard_3-1-0_095067_2020-10-02_final
2020-10-02 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-10-02_final
2020-10-02 09:46:19	ga_ls8c_ard_3-1-0_095071_2020-10-02_final
2020-10-02 09:46:43	ga_ls8c_ard_3-1-0_095072_2020-10-02_final
2020-10-02 09:47:07	ga_ls8c_ard_3-1-0_095073_2020-10-02_final
2020-10-02 09:47:31	ga_ls8c_ard_3-1-0_095074_2020-10-02_final
2020-10-02 09:47:55	ga_ls8c_ard_3-1-0_095075_2020-10-02_final
2020-10-02 09:48:43	ga_ls8c_ard_3-1-0_095077_2020-10-02_final
2020-10-02 09:50:19	ga_ls8c_ard_3-1-0_095081_2020-10-02_final
2020-10-02 09:50:43	ga_ls8c_ard_3-1-0_095082_2020-10-02_final
2020-10-02 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-10-02_final
2020-10-02 11:23:37	ga_ls8c_ard_3-1-0_111067_2020-10-02_final
2020-10-02 11:24:00	ga_ls8c_ard_3-1-0_111068_2020-10-02_final
2020-10-02 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-10-02_final
2020-10-02 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-10-02_final
2020-10-02 11:29:12	ga_ls8c_ard_3-1-0_111081_2020-10-02_final
2020-10-03 10:30:23	ga_ls8c_ard_3-1-0_102073_2020-10-03_final
2020-10-03 10:30:47	ga_ls8c_ard_3-1-0_102074_2020-10-03_final
2020-10-03 10:31:11	ga_ls8c_ard_3-1-0_102075_2020-10-03_final
2020-10-03 10:31:35	ga_ls8c_ard_3-1-0_102076_2020-10-03_final
2020-10-03 10:32:23	ga_ls8c_ard_3-1-0_102078_2020-10-03_final
2020-10-03 10:32:47	ga_ls8c_ard_3-1-0_102079_2020-10-03_final
2020-10-03 10:33:10	ga_ls8c_ard_3-1-0_102080_2020-10-03_final
2020-10-03 10:33:34	ga_ls8c_ard_3-1-0_102081_2020-10-03_final
2020-10-03 10:34:22	ga_ls8c_ard_3-1-0_102083_2020-10-03_final
2020-10-04 09:32:22	ga_ls8c_ard_3-1-0_093067_2020-10-04_final
2020-10-04 09:32:46	ga_ls8c_ard_3-1-0_093068_2020-10-04_final
2020-10-04 09:33:58	ga_ls8c_ard_3-1-0_093071_2020-10-04_final
2020-10-04 09:34:22	ga_ls8c_ard_3-1-0_093072_2020-10-04_final
2020-10-04 09:34:46	ga_ls8c_ard_3-1-0_093073_2020-10-04_final
2020-10-04 09:35:10	ga_ls8c_ard_3-1-0_093074_2020-10-04_final
2020-10-04 09:38:21	ga_ls8c_ard_3-1-0_093082_2020-10-04_final
2020-10-04 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-10-04_final
2020-10-04 09:40:45	ga_ls8c_ard_3-1-0_093088_2020-10-04_final
2020-10-04 11:15:15	ga_ls8c_ard_3-1-0_109077_2020-10-04_final
2020-10-04 11:15:38	ga_ls8c_ard_3-1-0_109078_2020-10-04_final
2020-10-04 11:16:02	ga_ls8c_ard_3-1-0_109079_2020-10-04_final
2020-10-04 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-10-04_final
2020-10-04 11:17:14	ga_ls8c_ard_3-1-0_109082_2020-10-04_final
2020-10-04 11:18:02	ga_ls8c_ard_3-1-0_109084_2020-10-04_final
2020-10-05 10:15:38	ga_ls8c_ard_3-1-0_100067_2020-10-05_final
2020-10-05 10:16:02	ga_ls8c_ard_3-1-0_100068_2020-10-05_final
2020-10-05 10:16:26	ga_ls8c_ard_3-1-0_100069_2020-10-05_final
2020-10-05 10:16:50	ga_ls8c_ard_3-1-0_100070_2020-10-05_final
2020-10-05 10:17:14	ga_ls8c_ard_3-1-0_100071_2020-10-05_final
2020-10-05 10:17:38	ga_ls8c_ard_3-1-0_100072_2020-10-05_final
2020-10-05 10:18:02	ga_ls8c_ard_3-1-0_100073_2020-10-05_final
2020-10-05 10:18:25	ga_ls8c_ard_3-1-0_100074_2020-10-05_final
2020-10-05 10:18:49	ga_ls8c_ard_3-1-0_100075_2020-10-05_final
2020-10-05 10:19:13	ga_ls8c_ard_3-1-0_100076_2020-10-05_final
2020-10-05 10:20:01	ga_ls8c_ard_3-1-0_100078_2020-10-05_final
2020-10-05 10:20:25	ga_ls8c_ard_3-1-0_100079_2020-10-05_final
2020-10-05 10:21:13	ga_ls8c_ard_3-1-0_100081_2020-10-05_final
2020-10-05 11:57:19	ga_ls8c_ard_3-1-0_116074_2020-10-05_final
2020-10-06 09:20:25	ga_ls8c_ard_3-1-0_091068_2020-10-05_final
2020-10-06 09:22:00	ga_ls8c_ard_3-1-0_091072_2020-10-05_final
2020-10-06 09:22:24	ga_ls8c_ard_3-1-0_091073_2020-10-05_final
2020-10-06 09:23:36	ga_ls8c_ard_3-1-0_091076_2020-10-05_final
2020-10-06 09:24:00	ga_ls8c_ard_3-1-0_091077_2020-10-05_final
2020-10-06 09:24:24	ga_ls8c_ard_3-1-0_091078_2020-10-05_final
2020-10-06 09:24:48	ga_ls8c_ard_3-1-0_091079_2020-10-05_final
2020-10-06 09:26:24	ga_ls8c_ard_3-1-0_091083_2020-10-05_final
2020-10-06 09:27:12	ga_ls8c_ard_3-1-0_091085_2020-10-05_final
2020-10-06 09:28:48	ga_ls8c_ard_3-1-0_091089_2020-10-05_final
2020-10-06 10:59:18	ga_ls8c_ard_3-1-0_107068_2020-10-06_final
2020-10-06 11:00:29	ga_ls8c_ard_3-1-0_107071_2020-10-06_final
2020-10-06 11:01:17	ga_ls8c_ard_3-1-0_107073_2020-10-06_final
2020-10-06 11:03:17	ga_ls8c_ard_3-1-0_107078_2020-10-06_final
2020-10-07 10:03:40	ga_ls8c_ard_3-1-0_098068_2020-10-07_final
2020-10-07 10:04:28	ga_ls8c_ard_3-1-0_098070_2020-10-07_final
2020-10-07 10:04:52	ga_ls8c_ard_3-1-0_098071_2020-10-07_final
2020-10-07 10:06:04	ga_ls8c_ard_3-1-0_098074_2020-10-07_final
2020-10-07 10:08:04	ga_ls8c_ard_3-1-0_098079_2020-10-07_final
2020-10-07 11:47:21	ga_ls8c_ard_3-1-0_114080_2020-10-07_final
2020-10-08 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-07_final
2020-10-08 10:46:32	ga_ls8c_ard_3-1-0_105067_2020-10-08_final
2020-10-08 10:46:56	ga_ls8c_ard_3-1-0_105068_2020-10-08_final
2020-10-08 10:47:20	ga_ls8c_ard_3-1-0_105069_2020-10-08_final
2020-10-08 10:47:44	ga_ls8c_ard_3-1-0_105070_2020-10-08_final
2020-10-08 10:48:08	ga_ls8c_ard_3-1-0_105071_2020-10-08_final
2020-10-08 10:48:32	ga_ls8c_ard_3-1-0_105072_2020-10-08_final
2020-10-08 10:48:56	ga_ls8c_ard_3-1-0_105073_2020-10-08_final
2020-10-08 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-10-08_final
2020-10-08 10:49:44	ga_ls8c_ard_3-1-0_105075_2020-10-08_final
2020-10-08 10:50:08	ga_ls8c_ard_3-1-0_105076_2020-10-08_final
2020-10-08 10:50:32	ga_ls8c_ard_3-1-0_105077_2020-10-08_final
2020-10-08 10:50:56	ga_ls8c_ard_3-1-0_105078_2020-10-08_final
2020-10-08 10:51:20	ga_ls8c_ard_3-1-0_105079_2020-10-08_final
2020-10-08 10:51:44	ga_ls8c_ard_3-1-0_105080_2020-10-08_final
2020-10-08 10:52:07	ga_ls8c_ard_3-1-0_105081_2020-10-08_final
2020-10-08 10:52:31	ga_ls8c_ard_3-1-0_105082_2020-10-08_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