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

77 results

Time (local)	Label
2021-10-22 10:28:06	ga_ls8c_ard_3-2-0_102067_2021-10-22_final
2021-10-22 10:28:30	ga_ls8c_ard_3-2-0_102068_2021-10-22_final
2021-10-22 10:29:42	ga_ls8c_ard_3-2-0_102071_2021-10-22_final
2021-10-22 10:30:06	ga_ls8c_ard_3-2-0_102072_2021-10-22_final
2021-10-22 10:30:30	ga_ls8c_ard_3-2-0_102073_2021-10-22_final
2021-10-22 10:31:18	ga_ls8c_ard_3-2-0_102075_2021-10-22_final
2021-10-22 10:31:42	ga_ls8c_ard_3-2-0_102076_2021-10-22_final
2021-10-22 10:32:06	ga_ls8c_ard_3-2-0_102077_2021-10-22_final
2021-10-22 10:32:29	ga_ls8c_ard_3-2-0_102078_2021-10-22_final
2021-10-22 10:32:53	ga_ls8c_ard_3-2-0_102079_2021-10-22_final
2021-10-22 10:33:17	ga_ls8c_ard_3-2-0_102080_2021-10-22_final
2021-10-22 10:33:41	ga_ls8c_ard_3-2-0_102081_2021-10-22_final
2021-10-22 10:34:05	ga_ls8c_ard_3-2-0_102082_2021-10-22_final
2021-10-23 09:32:29	ga_ls8c_ard_3-2-0_093067_2021-10-23_final
2021-10-23 09:32:53	ga_ls8c_ard_3-2-0_093068_2021-10-23_final
2021-10-23 09:34:05	ga_ls8c_ard_3-2-0_093071_2021-10-23_final
2021-10-23 09:34:29	ga_ls8c_ard_3-2-0_093072_2021-10-23_final
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-10-23 09:35:16	ga_ls8c_ard_3-2-0_093074_2021-10-23_final
2021-10-23 09:35:40	ga_ls8c_ard_3-2-0_093075_2021-10-23_final
2021-10-23 09:36:04	ga_ls8c_ard_3-2-0_093076_2021-10-23_final
2021-10-23 09:36:28	ga_ls8c_ard_3-2-0_093077_2021-10-23_final
2021-10-23 09:36:52	ga_ls8c_ard_3-2-0_093078_2021-10-23_final
2021-10-23 09:37:16	ga_ls8c_ard_3-2-0_093079_2021-10-23_final
2021-10-23 09:37:40	ga_ls8c_ard_3-2-0_093080_2021-10-23_final
2021-10-23 09:38:04	ga_ls8c_ard_3-2-0_093081_2021-10-23_final
2021-10-23 09:38:28	ga_ls8c_ard_3-2-0_093082_2021-10-23_final
2021-10-23 09:38:52	ga_ls8c_ard_3-2-0_093083_2021-10-23_final
2021-10-23 09:39:16	ga_ls8c_ard_3-2-0_093084_2021-10-23_final
2021-10-23 09:39:40	ga_ls8c_ard_3-2-0_093085_2021-10-23_final
2021-10-23 09:40:04	ga_ls8c_ard_3-2-0_093086_2021-10-23_final
2021-10-23 09:40:28	ga_ls8c_ard_3-2-0_093087_2021-10-23_final
2021-10-23 09:40:52	ga_ls8c_ard_3-2-0_093088_2021-10-23_final
2021-10-23 11:12:10	ga_ls8c_ard_3-2-0_109069_2021-10-23_final
2021-10-23 11:12:34	ga_ls8c_ard_3-2-0_109070_2021-10-23_final
2021-10-23 11:12:58	ga_ls8c_ard_3-2-0_109071_2021-10-23_final
2021-10-23 11:13:22	ga_ls8c_ard_3-2-0_109072_2021-10-23_final
2021-10-23 11:13:46	ga_ls8c_ard_3-2-0_109073_2021-10-23_final
2021-10-23 11:14:33	ga_ls8c_ard_3-2-0_109075_2021-10-23_final
2021-10-23 11:15:21	ga_ls8c_ard_3-2-0_109077_2021-10-23_final
2021-10-23 11:15:45	ga_ls8c_ard_3-2-0_109078_2021-10-23_final
2021-10-23 11:16:09	ga_ls8c_ard_3-2-0_109079_2021-10-23_final
2021-10-23 11:16:33	ga_ls8c_ard_3-2-0_109080_2021-10-23_final
2021-10-23 11:16:57	ga_ls8c_ard_3-2-0_109081_2021-10-23_final
2021-10-23 11:17:21	ga_ls8c_ard_3-2-0_109082_2021-10-23_final
2021-10-23 11:18:09	ga_ls8c_ard_3-2-0_109084_2021-10-23_final
2021-10-23 11:18:33	ga_ls8c_ard_3-2-0_109085_2021-10-23_final
2021-10-24 10:15:45	ga_ls8c_ard_3-2-0_100067_2021-10-24_final
2021-10-24 10:16:32	ga_ls8c_ard_3-2-0_100069_2021-10-24_final
2021-10-24 10:16:56	ga_ls8c_ard_3-2-0_100070_2021-10-24_final
2021-10-24 10:18:56	ga_ls8c_ard_3-2-0_100075_2021-10-24_final
2021-10-24 10:19:44	ga_ls8c_ard_3-2-0_100077_2021-10-24_final
2021-10-24 10:20:56	ga_ls8c_ard_3-2-0_100080_2021-10-24_final
2021-10-24 10:21:44	ga_ls8c_ard_3-2-0_100082_2021-10-24_final
2021-10-24 10:22:08	ga_ls8c_ard_3-2-0_100083_2021-10-24_final
2021-10-25 09:20:31	ga_ls8c_ard_3-2-0_091068_2021-10-24_final
2021-10-25 09:22:07	ga_ls8c_ard_3-2-0_091072_2021-10-24_final
2021-10-25 09:22:31	ga_ls8c_ard_3-2-0_091073_2021-10-24_final
2021-10-25 09:23:19	ga_ls8c_ard_3-2-0_091075_2021-10-24_final
2021-10-25 09:23:43	ga_ls8c_ard_3-2-0_091076_2021-10-24_final
2021-10-25 09:24:07	ga_ls8c_ard_3-2-0_091077_2021-10-24_final
2021-10-25 09:24:31	ga_ls8c_ard_3-2-0_091078_2021-10-24_final
2021-10-25 09:24:55	ga_ls8c_ard_3-2-0_091079_2021-10-24_final
2021-10-25 09:25:18	ga_ls8c_ard_3-2-0_091080_2021-10-24_final
2021-10-25 09:25:42	ga_ls8c_ard_3-2-0_091081_2021-10-24_final
2021-10-25 09:26:06	ga_ls8c_ard_3-2-0_091082_2021-10-24_final
2021-10-25 09:26:54	ga_ls8c_ard_3-2-0_091084_2021-10-24_final
2021-10-25 09:27:18	ga_ls8c_ard_3-2-0_091085_2021-10-24_final
2021-10-25 09:27:42	ga_ls8c_ard_3-2-0_091086_2021-10-24_final
2021-10-25 09:28:06	ga_ls8c_ard_3-2-0_091087_2021-10-24_final
2021-10-25 09:28:30	ga_ls8c_ard_3-2-0_091088_2021-10-24_final
2021-10-25 09:29:42	ga_ls8c_ard_3-2-0_091091_2021-10-24_final
2021-10-25 10:59:00	ga_ls8c_ard_3-2-0_107067_2021-10-25_final
2021-10-25 10:59:48	ga_ls8c_ard_3-2-0_107069_2021-10-25_final
2021-10-25 11:00:12	ga_ls8c_ard_3-2-0_107070_2021-10-25_final
2021-10-25 11:03:00	ga_ls8c_ard_3-2-0_107077_2021-10-25_final
2021-10-25 11:05:23	ga_ls8c_ard_3-2-0_107083_2021-10-25_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years