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

First 100 results (query limit)

Time (local)	Label
2023-07-14 11:31:34	ga_ls8c_ard_3-2-1_112073_2023-07-14_final
2023-07-14 11:31:58	ga_ls8c_ard_3-2-1_112074_2023-07-14_final
2023-07-14 11:32:22	ga_ls8c_ard_3-2-1_112075_2023-07-14_final
2023-07-14 11:32:46	ga_ls8c_ard_3-2-1_112076_2023-07-14_final
2023-07-14 11:33:10	ga_ls8c_ard_3-2-1_112077_2023-07-14_final
2023-07-14 11:33:34	ga_ls8c_ard_3-2-1_112078_2023-07-14_final
2023-07-14 11:33:58	ga_ls8c_ard_3-2-1_112079_2023-07-14_final
2023-07-14 11:34:22	ga_ls8c_ard_3-2-1_112080_2023-07-14_final
2023-07-14 11:34:46	ga_ls8c_ard_3-2-1_112081_2023-07-14_final
2023-07-14 11:35:10	ga_ls8c_ard_3-2-1_112082_2023-07-14_final
2023-07-14 11:35:34	ga_ls8c_ard_3-2-1_112083_2023-07-14_final
2023-07-14 11:35:58	ga_ls8c_ard_3-2-1_112084_2023-07-14_final
2023-07-16 11:22:48	ga_ls8c_ard_3-2-1_110082_2023-07-16_final
2023-07-16 11:23:12	ga_ls8c_ard_3-2-1_110083_2023-07-16_final
2023-07-16 11:23:36	ga_ls8c_ard_3-2-1_110084_2023-07-16_final
2023-07-16 11:24:00	ga_ls8c_ard_3-2-1_110085_2023-07-16_final
2023-07-21 11:37:21	ga_ls8c_ard_3-2-1_113072_2023-07-21_final
2023-07-21 11:37:45	ga_ls8c_ard_3-2-1_113073_2023-07-21_final
2023-07-21 11:38:09	ga_ls8c_ard_3-2-1_113074_2023-07-21_final
2023-07-21 11:39:21	ga_ls8c_ard_3-2-1_113077_2023-07-21_final
2023-07-23 11:27:25	ga_ls8c_ard_3-2-1_111078_2023-07-23_final
2023-07-23 11:27:49	ga_ls8c_ard_3-2-1_111079_2023-07-23_final
2023-07-23 11:28:13	ga_ls8c_ard_3-2-1_111080_2023-07-23_final
2023-07-23 11:28:37	ga_ls8c_ard_3-2-1_111081_2023-07-23_final
2023-07-23 11:29:01	ga_ls8c_ard_3-2-1_111082_2023-07-23_final
2023-07-23 11:29:25	ga_ls8c_ard_3-2-1_111083_2023-07-23_final
2023-07-23 11:29:49	ga_ls8c_ard_3-2-1_111084_2023-07-23_final
2023-07-30 11:31:41	ga_ls8c_ard_3-2-1_112073_2023-07-30_final
2023-07-30 11:32:05	ga_ls8c_ard_3-2-1_112074_2023-07-30_final
2023-07-30 11:32:29	ga_ls8c_ard_3-2-1_112075_2023-07-30_final
2023-07-30 11:32:53	ga_ls8c_ard_3-2-1_112076_2023-07-30_final
2023-07-30 11:33:17	ga_ls8c_ard_3-2-1_112077_2023-07-30_final
2023-07-30 11:33:41	ga_ls8c_ard_3-2-1_112078_2023-07-30_final
2023-07-30 11:34:05	ga_ls8c_ard_3-2-1_112079_2023-07-30_final
2023-07-30 11:34:29	ga_ls8c_ard_3-2-1_112080_2023-07-30_final
2023-07-30 11:34:53	ga_ls8c_ard_3-2-1_112081_2023-07-30_final
2023-07-30 11:35:17	ga_ls8c_ard_3-2-1_112082_2023-07-30_final
2023-07-30 11:35:41	ga_ls8c_ard_3-2-1_112083_2023-07-30_final
2023-07-30 11:36:05	ga_ls8c_ard_3-2-1_112084_2023-07-30_final
2023-08-01 11:22:56	ga_ls8c_ard_3-2-1_110082_2023-08-01_final
2023-08-01 11:23:20	ga_ls8c_ard_3-2-1_110083_2023-08-01_final
2023-08-01 11:23:44	ga_ls8c_ard_3-2-1_110084_2023-08-01_final
2023-08-01 11:24:08	ga_ls8c_ard_3-2-1_110085_2023-08-01_final
2023-08-06 11:37:30	ga_ls8c_ard_3-2-1_113072_2023-08-06_final
2023-08-06 11:37:54	ga_ls8c_ard_3-2-1_113073_2023-08-06_final
2023-08-06 11:38:18	ga_ls8c_ard_3-2-1_113074_2023-08-06_final
2023-08-08 11:27:32	ga_ls8c_ard_3-2-1_111078_2023-08-08_final
2023-08-08 11:27:56	ga_ls8c_ard_3-2-1_111079_2023-08-08_final
2023-08-08 11:28:20	ga_ls8c_ard_3-2-1_111080_2023-08-08_final
2023-08-08 11:28:44	ga_ls8c_ard_3-2-1_111081_2023-08-08_final
2023-08-08 11:29:08	ga_ls8c_ard_3-2-1_111082_2023-08-08_final
2023-08-08 11:29:32	ga_ls8c_ard_3-2-1_111083_2023-08-08_final
2023-08-08 11:29:56	ga_ls8c_ard_3-2-1_111084_2023-08-08_final
2023-08-15 11:31:47	ga_ls8c_ard_3-2-1_112073_2023-08-15_final
2023-08-15 11:32:11	ga_ls8c_ard_3-2-1_112074_2023-08-15_final
2023-08-15 11:32:35	ga_ls8c_ard_3-2-1_112075_2023-08-15_final
2023-08-15 11:32:59	ga_ls8c_ard_3-2-1_112076_2023-08-15_final
2023-08-15 11:33:23	ga_ls8c_ard_3-2-1_112077_2023-08-15_final
2023-08-15 11:33:47	ga_ls8c_ard_3-2-1_112078_2023-08-15_final
2023-08-15 11:34:11	ga_ls8c_ard_3-2-1_112079_2023-08-15_final
2023-08-15 11:34:35	ga_ls8c_ard_3-2-1_112080_2023-08-15_final
2023-08-15 11:34:58	ga_ls8c_ard_3-2-1_112081_2023-08-15_final
2023-08-15 11:35:22	ga_ls8c_ard_3-2-1_112082_2023-08-15_final
2023-08-15 11:35:46	ga_ls8c_ard_3-2-1_112083_2023-08-15_final
2023-08-15 11:36:10	ga_ls8c_ard_3-2-1_112084_2023-08-15_final
2023-08-17 11:23:02	ga_ls8c_ard_3-2-1_110082_2023-08-17_final
2023-08-17 11:23:26	ga_ls8c_ard_3-2-1_110083_2023-08-17_final
2023-08-17 11:23:50	ga_ls8c_ard_3-2-1_110084_2023-08-17_final
2023-08-17 11:24:14	ga_ls8c_ard_3-2-1_110085_2023-08-17_final
2023-08-22 11:37:38	ga_ls8c_ard_3-2-1_113072_2023-08-22_final
2023-08-22 11:38:02	ga_ls8c_ard_3-2-1_113073_2023-08-22_final
2023-08-22 11:38:26	ga_ls8c_ard_3-2-1_113074_2023-08-22_final
2023-08-24 11:27:40	ga_ls8c_ard_3-2-1_111078_2023-08-24_final
2023-08-24 11:28:04	ga_ls8c_ard_3-2-1_111079_2023-08-24_final
2023-08-24 11:28:28	ga_ls8c_ard_3-2-1_111080_2023-08-24_final
2023-08-24 11:28:52	ga_ls8c_ard_3-2-1_111081_2023-08-24_final
2023-08-24 11:29:16	ga_ls8c_ard_3-2-1_111082_2023-08-24_final
2023-08-24 11:29:40	ga_ls8c_ard_3-2-1_111083_2023-08-24_final
2023-08-24 11:30:04	ga_ls8c_ard_3-2-1_111084_2023-08-24_final
2023-09-05 11:50:47	ga_ls8c_ard_3-2-1_115074_2023-09-05_final
2023-09-05 11:51:11	ga_ls8c_ard_3-2-1_115075_2023-09-05_final
2023-09-05 11:51:34	ga_ls8c_ard_3-2-1_115076_2023-09-05_final
2023-09-07 11:37:37	ga_ls8c_ard_3-2-1_113072_2023-09-07_final
2023-09-07 11:38:01	ga_ls8c_ard_3-2-1_113073_2023-09-07_final
2023-09-07 11:38:25	ga_ls8c_ard_3-2-1_113074_2023-09-07_final
2023-09-07 11:38:49	ga_ls8c_ard_3-2-1_113075_2023-09-07_final
2023-09-07 11:39:12	ga_ls8c_ard_3-2-1_113076_2023-09-07_final
2023-09-07 11:39:36	ga_ls8c_ard_3-2-1_113077_2023-09-07_final
2023-09-07 11:40:00	ga_ls8c_ard_3-2-1_113078_2023-09-07_final
2023-09-07 11:40:24	ga_ls8c_ard_3-2-1_113079_2023-09-07_final
2023-09-07 11:40:48	ga_ls8c_ard_3-2-1_113080_2023-09-07_final
2023-09-07 11:41:12	ga_ls8c_ard_3-2-1_113081_2023-09-07_final
2023-09-07 11:41:36	ga_ls8c_ard_3-2-1_113082_2023-09-07_final
2023-09-07 11:42:00	ga_ls8c_ard_3-2-1_113083_2023-09-07_final
2023-09-09 11:27:40	ga_ls8c_ard_3-2-1_111078_2023-09-09_final
2023-09-09 11:28:04	ga_ls8c_ard_3-2-1_111079_2023-09-09_final
2023-09-09 11:28:28	ga_ls8c_ard_3-2-1_111080_2023-09-09_final
2023-09-09 11:28:52	ga_ls8c_ard_3-2-1_111081_2023-09-09_final
2023-09-09 11:29:16	ga_ls8c_ard_3-2-1_111082_2023-09-09_final
2023-09-09 11:29:40	ga_ls8c_ard_3-2-1_111083_2023-09-09_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