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

81 results

Time (local)	Label
2020-06-28 11:26:14	ga_ls8c_ard_3-1-0_111075_2020-06-28_final
2020-07-07 11:18:32	ga_ls8c_ard_3-1-0_110071_2020-07-07_final
2020-07-10 11:50:39	ga_ls8c_ard_3-1-0_115074_2020-07-10_final
2020-07-12 11:38:18	ga_ls8c_ard_3-1-0_113074_2020-07-12_final
2020-07-12 11:38:42	ga_ls8c_ard_3-1-0_113075_2020-07-12_final
2020-07-12 11:39:06	ga_ls8c_ard_3-1-0_113076_2020-07-12_final
2020-07-12 11:39:30	ga_ls8c_ard_3-1-0_113077_2020-07-12_final
2020-07-12 11:39:54	ga_ls8c_ard_3-1-0_113078_2020-07-12_final
2020-07-14 11:23:33	ga_ls8c_ard_3-1-0_111068_2020-07-14_final
2020-07-14 11:25:09	ga_ls8c_ard_3-1-0_111072_2020-07-14_final
2020-07-14 11:25:33	ga_ls8c_ard_3-1-0_111073_2020-07-14_final
2020-07-14 11:28:21	ga_ls8c_ard_3-1-0_111080_2020-07-14_final
2020-07-14 11:29:09	ga_ls8c_ard_3-1-0_111082_2020-07-14_final
2020-07-14 11:30:20	ga_ls8c_ard_3-1-0_111085_2020-07-14_final
2020-07-16 11:12:24	ga_ls8c_ard_3-1-0_109071_2020-07-16_final
2020-07-16 11:12:48	ga_ls8c_ard_3-1-0_109072_2020-07-16_final
2020-07-16 11:13:12	ga_ls8c_ard_3-1-0_109073_2020-07-16_final
2020-07-16 11:13:36	ga_ls8c_ard_3-1-0_109074_2020-07-16_final
2020-07-16 11:14:00	ga_ls8c_ard_3-1-0_109075_2020-07-16_final
2020-07-16 11:14:24	ga_ls8c_ard_3-1-0_109076_2020-07-16_final
2020-07-16 11:14:48	ga_ls8c_ard_3-1-0_109077_2020-07-16_final
2020-07-16 11:15:12	ga_ls8c_ard_3-1-0_109078_2020-07-16_final
2020-07-16 11:15:36	ga_ls8c_ard_3-1-0_109079_2020-07-16_final
2020-07-16 11:16:00	ga_ls8c_ard_3-1-0_109080_2020-07-16_final
2020-07-16 11:16:24	ga_ls8c_ard_3-1-0_109081_2020-07-16_final
2020-07-16 11:16:48	ga_ls8c_ard_3-1-0_109082_2020-07-16_final
2020-07-16 11:17:12	ga_ls8c_ard_3-1-0_109083_2020-07-16_final
2020-07-16 11:17:35	ga_ls8c_ard_3-1-0_109084_2020-07-16_final
2020-07-21 11:34:58	ga_ls8c_ard_3-1-0_112081_2020-07-21_final
2020-07-21 11:36:33	ga_ls8c_ard_3-1-0_112085_2020-07-21_final
2020-07-23 11:17:01	ga_ls8c_ard_3-1-0_110067_2020-07-23_final
2020-07-23 11:18:13	ga_ls8c_ard_3-1-0_110070_2020-07-23_final
2020-07-23 11:23:01	ga_ls8c_ard_3-1-0_110082_2020-07-23_final
2020-07-28 11:37:59	ga_ls8c_ard_3-1-0_113073_2020-07-28_final
2020-07-28 11:38:23	ga_ls8c_ard_3-1-0_113074_2020-07-28_final
2020-07-28 11:38:47	ga_ls8c_ard_3-1-0_113075_2020-07-28_final
2020-07-28 11:39:11	ga_ls8c_ard_3-1-0_113076_2020-07-28_final
2020-07-28 11:39:35	ga_ls8c_ard_3-1-0_113077_2020-07-28_final
2020-07-28 11:39:58	ga_ls8c_ard_3-1-0_113078_2020-07-28_final
2020-07-28 11:40:22	ga_ls8c_ard_3-1-0_113079_2020-07-28_final
2020-07-30 11:23:14	ga_ls8c_ard_3-1-0_111067_2020-07-30_final
2020-07-30 11:23:38	ga_ls8c_ard_3-1-0_111068_2020-07-30_final
2020-07-30 11:24:02	ga_ls8c_ard_3-1-0_111069_2020-07-30_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-07-30 11:24:50	ga_ls8c_ard_3-1-0_111071_2020-07-30_final
2020-07-30 11:25:14	ga_ls8c_ard_3-1-0_111072_2020-07-30_final
2020-07-30 11:25:38	ga_ls8c_ard_3-1-0_111073_2020-07-30_final
2020-07-30 11:26:02	ga_ls8c_ard_3-1-0_111074_2020-07-30_final
2020-08-01 11:12:28	ga_ls8c_ard_3-1-0_109071_2020-08-01_final
2020-08-01 11:12:52	ga_ls8c_ard_3-1-0_109072_2020-08-01_final
2020-08-01 11:13:16	ga_ls8c_ard_3-1-0_109073_2020-08-01_final
2020-08-01 11:13:40	ga_ls8c_ard_3-1-0_109074_2020-08-01_final
2020-08-01 11:14:04	ga_ls8c_ard_3-1-0_109075_2020-08-01_final
2020-08-01 11:14:28	ga_ls8c_ard_3-1-0_109076_2020-08-01_final
2020-08-01 11:14:52	ga_ls8c_ard_3-1-0_109077_2020-08-01_final
2020-08-01 11:15:40	ga_ls8c_ard_3-1-0_109079_2020-08-01_final
2020-08-01 11:16:04	ga_ls8c_ard_3-1-0_109080_2020-08-01_final
2020-08-01 11:16:28	ga_ls8c_ard_3-1-0_109081_2020-08-01_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2020-08-01 11:17:16	ga_ls8c_ard_3-1-0_109083_2020-08-01_final
2020-08-01 11:17:40	ga_ls8c_ard_3-1-0_109084_2020-08-01_final
2020-08-02 11:56:56	ga_ls8c_ard_3-1-0_116074_2020-08-02_final
2020-08-02 11:57:20	ga_ls8c_ard_3-1-0_116075_2020-08-02_final
2020-08-02 11:57:44	ga_ls8c_ard_3-1-0_116076_2020-08-02_final
2020-08-02 11:58:08	ga_ls8c_ard_3-1-0_116077_2020-08-02_final
2020-08-02 11:58:32	ga_ls8c_ard_3-1-0_116078_2020-08-02_final
2020-08-04 11:45:23	ga_ls8c_ard_3-1-0_114076_2020-08-04_final
2020-08-04 11:45:47	ga_ls8c_ard_3-1-0_114077_2020-08-04_final
2020-08-04 11:46:11	ga_ls8c_ard_3-1-0_114078_2020-08-04_final
2020-08-04 11:47:23	ga_ls8c_ard_3-1-0_114081_2020-08-04_final
2020-08-27 10:09:15	ga_ls8c_ard_3-1-0_099067_2020-08-27_final
2020-08-27 10:09:39	ga_ls8c_ard_3-1-0_099068_2020-08-27_final
2020-08-27 10:10:03	ga_ls8c_ard_3-1-0_099069_2020-08-27_final
2020-08-27 11:50:31	ga_ls8c_ard_3-1-0_115073_2020-08-27_final
2020-08-27 11:50:55	ga_ls8c_ard_3-1-0_115074_2020-08-27_final
2020-08-27 11:51:19	ga_ls8c_ard_3-1-0_115075_2020-08-27_final
2020-08-27 11:51:43	ga_ls8c_ard_3-1-0_115076_2020-08-27_final
2020-08-27 11:52:07	ga_ls8c_ard_3-1-0_115077_2020-08-27_final
2020-08-27 11:52:31	ga_ls8c_ard_3-1-0_115078_2020-08-27_final
2020-08-27 11:52:55	ga_ls8c_ard_3-1-0_115079_2020-08-27_final
2020-08-27 11:53:19	ga_ls8c_ard_3-1-0_115080_2020-08-27_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