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

51 results

Time (local)	Label
2021-05-11 10:57:31	ga_ls8c_ard_3-2-0_106081_2021-05-11_final
2021-05-11 10:58:43	ga_ls8c_ard_3-2-0_106084_2021-05-11_final
2021-05-18 10:58:11	ga_ls8c_ard_3-2-0_107067_2021-05-18_final
2021-05-18 10:58:59	ga_ls8c_ard_3-2-0_107069_2021-05-18_final
2021-05-27 10:58:53	ga_ls8c_ard_3-2-0_106084_2021-05-27_final
2021-05-28 10:04:04	ga_ls8c_ard_3-2-0_097086_2021-05-28_final
2021-05-30 09:52:31	ga_ls8c_ard_3-2-0_095088_2021-05-30_final
2021-05-31 10:27:24	ga_ls8c_ard_3-2-0_102067_2021-05-31_final
2021-05-31 10:33:47	ga_ls8c_ard_3-2-0_102083_2021-05-31_final
2021-06-01 09:38:11	ga_ls8c_ard_3-2-0_093083_2021-06-01_final
2021-06-02 10:15:04	ga_ls8c_ard_3-2-0_100067_2021-06-02_final
2021-06-02 10:15:28	ga_ls8c_ard_3-2-0_100068_2021-06-02_final
2021-06-02 10:15:52	ga_ls8c_ard_3-2-0_100069_2021-06-02_final
2021-06-02 10:16:15	ga_ls8c_ard_3-2-0_100070_2021-06-02_final
2021-06-02 10:22:15	ga_ls8c_ard_3-2-0_100085_2021-06-02_final
2021-06-03 09:19:51	ga_ls8c_ard_3-2-0_091068_2021-06-02_final
2021-06-03 09:24:14	ga_ls8c_ard_3-2-0_091079_2021-06-02_final
2021-06-03 09:24:38	ga_ls8c_ard_3-2-0_091080_2021-06-02_final
2021-06-03 09:25:02	ga_ls8c_ard_3-2-0_091081_2021-06-02_final
2021-06-03 09:25:26	ga_ls8c_ard_3-2-0_091082_2021-06-02_final
2021-06-03 09:29:01	ga_ls8c_ard_3-2-0_091091_2021-06-02_final
2021-06-03 10:58:20	ga_ls8c_ard_3-2-0_107067_2021-06-03_final
2021-06-03 10:59:08	ga_ls8c_ard_3-2-0_107069_2021-06-03_final
2021-06-03 11:01:55	ga_ls8c_ard_3-2-0_107076_2021-06-03_final
2021-06-15 09:48:38	ga_ls8c_ard_3-2-0_095078_2021-06-15_final
2021-06-15 09:49:02	ga_ls8c_ard_3-2-0_095079_2021-06-15_final
2021-06-15 09:49:26	ga_ls8c_ard_3-2-0_095080_2021-06-15_final
2021-06-15 09:49:50	ga_ls8c_ard_3-2-0_095081_2021-06-15_final
2021-06-15 09:50:14	ga_ls8c_ard_3-2-0_095082_2021-06-15_final
2021-06-15 09:50:38	ga_ls8c_ard_3-2-0_095083_2021-06-15_final
2021-06-15 09:51:02	ga_ls8c_ard_3-2-0_095084_2021-06-15_final
2021-06-15 09:51:26	ga_ls8c_ard_3-2-0_095085_2021-06-15_final
2021-06-15 09:51:50	ga_ls8c_ard_3-2-0_095086_2021-06-15_final
2021-06-15 09:52:13	ga_ls8c_ard_3-2-0_095087_2021-06-15_final
2021-06-15 11:23:08	ga_ls8c_ard_3-2-0_111067_2021-06-15_final
2021-06-15 11:23:32	ga_ls8c_ard_3-2-0_111068_2021-06-15_final
2021-06-15 11:23:56	ga_ls8c_ard_3-2-0_111069_2021-06-15_final
2021-06-15 11:24:19	ga_ls8c_ard_3-2-0_111070_2021-06-15_final
2021-06-15 11:24:43	ga_ls8c_ard_3-2-0_111071_2021-06-15_final
2021-06-15 11:25:07	ga_ls8c_ard_3-2-0_111072_2021-06-15_final
2021-06-15 11:25:31	ga_ls8c_ard_3-2-0_111073_2021-06-15_final
2021-06-15 11:25:55	ga_ls8c_ard_3-2-0_111074_2021-06-15_final
2021-06-15 11:26:19	ga_ls8c_ard_3-2-0_111075_2021-06-15_final
2021-06-15 11:26:43	ga_ls8c_ard_3-2-0_111076_2021-06-15_final
2021-06-15 11:27:07	ga_ls8c_ard_3-2-0_111077_2021-06-15_final
2021-06-15 11:27:31	ga_ls8c_ard_3-2-0_111078_2021-06-15_final
2021-06-15 11:27:55	ga_ls8c_ard_3-2-0_111079_2021-06-15_final
2021-06-15 11:28:19	ga_ls8c_ard_3-2-0_111080_2021-06-15_final
2021-06-15 11:28:43	ga_ls8c_ard_3-2-0_111081_2021-06-15_final
2021-06-15 11:29:07	ga_ls8c_ard_3-2-0_111082_2021-06-15_final
2021-06-15 11:29:31	ga_ls8c_ard_3-2-0_111083_2021-06-15_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