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

55 results

Time (local)	Label
2021-12-13 10:04:54	ga_ls8c_ard_3-2-1_098071_2021-12-13_final
2021-12-13 10:07:41	ga_ls8c_ard_3-2-1_098078_2021-12-13_final
2021-12-13 10:08:29	ga_ls8c_ard_3-2-1_098080_2021-12-13_final
2021-12-13 10:10:29	ga_ls8c_ard_3-2-1_098085_2021-12-13_final
2021-12-14 10:51:45	ga_ls8c_ard_3-2-1_105080_2021-12-14_final
2021-12-14 10:52:09	ga_ls8c_ard_3-2-1_105081_2021-12-14_final
2021-12-16 10:37:23	ga_ls8c_ard_3-2-1_103075_2021-12-16_final
2021-12-16 10:39:47	ga_ls8c_ard_3-2-1_103081_2021-12-16_final
2021-12-17 09:41:22	ga_ls8c_ard_3-2-1_094074_2021-12-17_final
2021-12-17 11:24:38	ga_ls8c_ard_3-2-1_110085_2021-12-17_final
2021-12-19 09:30:35	ga_ls8c_ard_3-2-1_092078_2021-12-19_final
2021-12-19 09:30:59	ga_ls8c_ard_3-2-1_092079_2021-12-19_final
2021-12-19 09:32:11	ga_ls8c_ard_3-2-1_092082_2021-12-19_final
2021-12-19 09:32:35	ga_ls8c_ard_3-2-1_092083_2021-12-19_final
2021-12-19 09:33:47	ga_ls8c_ard_3-2-1_092086_2021-12-19_final
2021-12-19 09:34:11	ga_ls8c_ard_3-2-1_092087_2021-12-19_final
2021-12-19 09:34:35	ga_ls8c_ard_3-2-1_092088_2021-12-19_final
2021-12-19 09:34:59	ga_ls8c_ard_3-2-1_092089_2021-12-19_final
2021-12-19 11:05:53	ga_ls8c_ard_3-2-1_108069_2021-12-19_final
2021-12-19 11:06:41	ga_ls8c_ard_3-2-1_108071_2021-12-19_final
2021-12-19 11:07:05	ga_ls8c_ard_3-2-1_108072_2021-12-19_final
2021-12-19 11:09:52	ga_ls8c_ard_3-2-1_108079_2021-12-19_final
2021-12-19 11:10:40	ga_ls8c_ard_3-2-1_108081_2021-12-19_final
2021-12-19 11:11:28	ga_ls8c_ard_3-2-1_108083_2021-12-19_final
2021-12-19 11:11:52	ga_ls8c_ard_3-2-1_108084_2021-12-19_final
2021-12-20 10:09:27	ga_ls8c_ard_3-2-1_099067_2021-12-20_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-20 10:10:39	ga_ls8c_ard_3-2-1_099070_2021-12-20_final
2021-12-20 10:11:03	ga_ls8c_ard_3-2-1_099071_2021-12-20_final
2021-12-20 10:11:51	ga_ls8c_ard_3-2-1_099073_2021-12-20_final
2021-12-20 10:13:03	ga_ls8c_ard_3-2-1_099076_2021-12-20_final
2021-12-20 10:15:26	ga_ls8c_ard_3-2-1_099082_2021-12-20_final
2021-12-20 11:51:08	ga_ls8c_ard_3-2-1_115074_2021-12-20_final
2021-12-20 11:51:56	ga_ls8c_ard_3-2-1_115076_2021-12-20_final
2021-12-20 11:53:08	ga_ls8c_ard_3-2-1_115079_2021-12-20_final
2021-12-20 11:53:32	ga_ls8c_ard_3-2-1_115080_2021-12-20_final
2021-12-21 10:59:06	ga_ls8c_ard_3-2-1_106083_2021-12-21_final
2021-12-22 10:03:52	ga_ls8c_ard_3-2-1_097084_2021-12-22_final
2021-12-22 11:41:57	ga_ls8c_ard_3-2-1_113082_2021-12-22_final
2021-12-23 10:40:44	ga_ls8c_ard_3-2-1_104068_2021-12-23_final
2021-12-23 10:41:08	ga_ls8c_ard_3-2-1_104069_2021-12-23_final
2021-12-23 10:43:08	ga_ls8c_ard_3-2-1_104074_2021-12-23_final
2021-12-23 10:44:20	ga_ls8c_ard_3-2-1_104077_2021-12-23_final
2021-12-24 09:46:18	ga_ls8c_ard_3-2-1_095071_2021-12-24_final
2021-12-24 09:48:18	ga_ls8c_ard_3-2-1_095076_2021-12-24_final
2021-12-24 09:49:30	ga_ls8c_ard_3-2-1_095079_2021-12-24_final
2021-12-24 09:49:54	ga_ls8c_ard_3-2-1_095080_2021-12-24_final
2021-12-24 09:50:18	ga_ls8c_ard_3-2-1_095081_2021-12-24_final
2021-12-24 09:51:06	ga_ls8c_ard_3-2-1_095083_2021-12-24_final
2021-12-24 09:51:54	ga_ls8c_ard_3-2-1_095085_2021-12-24_final
2021-12-24 11:24:24	ga_ls8c_ard_3-2-1_111069_2021-12-24_final
2021-12-24 11:25:11	ga_ls8c_ard_3-2-1_111071_2021-12-24_final
2021-12-24 11:26:23	ga_ls8c_ard_3-2-1_111074_2021-12-24_final
2021-12-24 11:27:35	ga_ls8c_ard_3-2-1_111077_2021-12-24_final
2021-12-25 10:33:09	ga_ls8c_ard_3-2-1_102080_2021-12-25_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