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

84 results

Time (local)	Label
2020-10-20 09:32:47	ga_ls8c_ard_3-1-0_093068_2020-10-20_final
2020-10-20 09:34:23	ga_ls8c_ard_3-1-0_093072_2020-10-20_final
2020-10-20 09:34:47	ga_ls8c_ard_3-1-0_093073_2020-10-20_final
2020-10-20 09:35:35	ga_ls8c_ard_3-1-0_093075_2020-10-20_final
2020-10-20 09:35:58	ga_ls8c_ard_3-1-0_093076_2020-10-20_final
2020-10-23 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-10-23_final
2020-10-23 11:44:58	ga_ls8c_ard_3-1-0_114074_2020-10-23_final
2020-10-23 11:45:22	ga_ls8c_ard_3-1-0_114075_2020-10-23_final
2020-10-23 11:45:45	ga_ls8c_ard_3-1-0_114076_2020-10-23_final
2020-10-23 11:46:09	ga_ls8c_ard_3-1-0_114077_2020-10-23_final
2020-10-23 11:46:33	ga_ls8c_ard_3-1-0_114078_2020-10-23_final
2020-10-23 11:46:57	ga_ls8c_ard_3-1-0_114079_2020-10-23_final
2020-10-23 11:47:21	ga_ls8c_ard_3-1-0_114080_2020-10-23_final
2020-10-23 11:47:45	ga_ls8c_ard_3-1-0_114081_2020-10-23_final
2020-10-25 11:30:12	ga_ls8c_ard_3-1-0_112068_2020-10-25_final
2020-10-25 11:30:36	ga_ls8c_ard_3-1-0_112069_2020-10-25_final
2020-10-25 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-10-25_final
2020-10-25 11:31:24	ga_ls8c_ard_3-1-0_112071_2020-10-25_final
2020-10-25 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-10-25_final
2020-10-25 11:32:12	ga_ls8c_ard_3-1-0_112073_2020-10-25_final
2020-10-25 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-10-25_final
2020-10-25 11:33:00	ga_ls8c_ard_3-1-0_112075_2020-10-25_final
2020-10-25 11:33:24	ga_ls8c_ard_3-1-0_112076_2020-10-25_final
2020-10-25 11:33:48	ga_ls8c_ard_3-1-0_112077_2020-10-25_final
2020-10-25 11:34:12	ga_ls8c_ard_3-1-0_112078_2020-10-25_final
2020-10-25 11:34:35	ga_ls8c_ard_3-1-0_112079_2020-10-25_final
2020-10-25 11:34:59	ga_ls8c_ard_3-1-0_112080_2020-10-25_final
2020-10-25 11:35:23	ga_ls8c_ard_3-1-0_112081_2020-10-25_final
2020-10-25 11:35:47	ga_ls8c_ard_3-1-0_112082_2020-10-25_final
2020-10-25 11:36:11	ga_ls8c_ard_3-1-0_112083_2020-10-25_final
2020-10-25 11:36:35	ga_ls8c_ard_3-1-0_112084_2020-10-25_final
2020-10-25 11:36:59	ga_ls8c_ard_3-1-0_112085_2020-10-25_final
2020-10-27 09:46:08	ga_ls8c_ard_3-1-0_094086_2020-10-27_final
2020-10-27 09:46:32	ga_ls8c_ard_3-1-0_094087_2020-10-27_final
2020-10-27 09:46:56	ga_ls8c_ard_3-1-0_094088_2020-10-27_final
2020-10-27 11:22:14	ga_ls8c_ard_3-1-0_110079_2020-10-27_final
2020-10-27 11:22:38	ga_ls8c_ard_3-1-0_110080_2020-10-27_final
2020-10-27 11:23:02	ga_ls8c_ard_3-1-0_110081_2020-10-27_final
2020-10-27 11:23:26	ga_ls8c_ard_3-1-0_110082_2020-10-27_final
2020-10-27 11:23:49	ga_ls8c_ard_3-1-0_110083_2020-10-27_final
2020-10-27 11:24:13	ga_ls8c_ard_3-1-0_110084_2020-10-27_final
2020-10-27 11:24:37	ga_ls8c_ard_3-1-0_110085_2020-10-27_final
2020-10-28 10:23:01	ga_ls8c_ard_3-1-0_101070_2020-10-28_final
2020-10-28 10:26:36	ga_ls8c_ard_3-1-0_101079_2020-10-28_final
2020-10-29 09:31:23	ga_ls8c_ard_3-1-0_092080_2020-10-29_final
2020-10-30 10:15:50	ga_ls8c_ard_3-1-0_099083_2020-10-30_final
2020-10-30 11:51:08	ga_ls8c_ard_3-1-0_115074_2020-10-30_final
2020-10-30 11:51:32	ga_ls8c_ard_3-1-0_115075_2020-10-30_final
2020-10-30 11:51:56	ga_ls8c_ard_3-1-0_115076_2020-10-30_final
2020-10-30 11:52:20	ga_ls8c_ard_3-1-0_115077_2020-10-30_final
2020-10-30 11:52:43	ga_ls8c_ard_3-1-0_115078_2020-10-30_final
2020-10-30 11:53:07	ga_ls8c_ard_3-1-0_115079_2020-10-30_final
2020-11-01 09:57:29	ga_ls8c_ard_3-1-0_097068_2020-11-01_final
2020-11-01 09:57:53	ga_ls8c_ard_3-1-0_097069_2020-11-01_final
2020-11-01 09:58:17	ga_ls8c_ard_3-1-0_097070_2020-11-01_final
2020-11-01 09:58:41	ga_ls8c_ard_3-1-0_097071_2020-11-01_final
2020-11-01 09:59:05	ga_ls8c_ard_3-1-0_097072_2020-11-01_final
2020-11-01 09:59:29	ga_ls8c_ard_3-1-0_097073_2020-11-01_final
2020-11-01 09:59:53	ga_ls8c_ard_3-1-0_097074_2020-11-01_final
2020-11-01 10:00:17	ga_ls8c_ard_3-1-0_097075_2020-11-01_final
2020-11-01 10:00:41	ga_ls8c_ard_3-1-0_097076_2020-11-01_final
2020-11-01 10:01:05	ga_ls8c_ard_3-1-0_097077_2020-11-01_final
2020-11-01 10:01:28	ga_ls8c_ard_3-1-0_097078_2020-11-01_final
2020-11-01 10:01:52	ga_ls8c_ard_3-1-0_097079_2020-11-01_final
2020-11-01 10:02:16	ga_ls8c_ard_3-1-0_097080_2020-11-01_final
2020-11-01 10:02:40	ga_ls8c_ard_3-1-0_097081_2020-11-01_final
2020-11-01 10:03:04	ga_ls8c_ard_3-1-0_097082_2020-11-01_final
2020-11-01 10:03:28	ga_ls8c_ard_3-1-0_097083_2020-11-01_final
2020-11-01 10:03:52	ga_ls8c_ard_3-1-0_097084_2020-11-01_final
2020-11-01 10:04:16	ga_ls8c_ard_3-1-0_097085_2020-11-01_final
2020-11-01 10:04:40	ga_ls8c_ard_3-1-0_097086_2020-11-01_final
2020-11-01 11:35:58	ga_ls8c_ard_3-1-0_113067_2020-11-01_final
2020-11-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2020-11-01_final
2020-11-01 11:38:22	ga_ls8c_ard_3-1-0_113073_2020-11-01_final
2020-11-01 11:38:46	ga_ls8c_ard_3-1-0_113074_2020-11-01_final
2020-11-01 11:39:10	ga_ls8c_ard_3-1-0_113075_2020-11-01_final
2020-11-01 11:39:34	ga_ls8c_ard_3-1-0_113076_2020-11-01_final
2020-11-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2020-11-01_final
2020-11-01 11:40:22	ga_ls8c_ard_3-1-0_113078_2020-11-01_final
2020-11-01 11:40:45	ga_ls8c_ard_3-1-0_113079_2020-11-01_final
2020-11-01 11:41:09	ga_ls8c_ard_3-1-0_113080_2020-11-01_final
2020-11-01 11:41:33	ga_ls8c_ard_3-1-0_113081_2020-11-01_final
2020-11-01 11:41:57	ga_ls8c_ard_3-1-0_113082_2020-11-01_final
2020-11-01 11:42:21	ga_ls8c_ard_3-1-0_113083_2020-11-01_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