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
2013-06-30 11:43:48	ga_ls8c_ard_3-0-0_114067_2013-06-30_final
2013-07-09 11:39:38	ga_ls8c_ard_3-0-0_113072_2013-07-09_final
2013-07-09 11:40:02	ga_ls8c_ard_3-0-0_113073_2013-07-09_final
2013-07-09 11:40:26	ga_ls8c_ard_3-0-0_113074_2013-07-09_final
2013-07-09 11:40:50	ga_ls8c_ard_3-0-0_113075_2013-07-09_final
2013-07-09 11:41:14	ga_ls8c_ard_3-0-0_113076_2013-07-09_final
2013-07-09 11:41:38	ga_ls8c_ard_3-0-0_113077_2013-07-09_final
2013-07-09 11:42:02	ga_ls8c_ard_3-0-0_113078_2013-07-09_final
2013-07-11 11:30:52	ga_ls8c_ard_3-0-0_111081_2013-07-11_final
2013-07-11 11:31:16	ga_ls8c_ard_3-0-0_111082_2013-07-11_final
2013-07-11 11:31:40	ga_ls8c_ard_3-0-0_111083_2013-07-11_final
2013-07-11 11:32:04	ga_ls8c_ard_3-0-0_111084_2013-07-11_final
2013-08-01 11:43:50	ga_ls8c_ard_3-0-0_114067_2013-08-01_final
2013-08-03 11:35:28	ga_ls8c_ard_3-0-0_112077_2013-08-03_final
2013-08-03 11:35:52	ga_ls8c_ard_3-0-0_112078_2013-08-03_final
2013-08-03 11:36:16	ga_ls8c_ard_3-0-0_112079_2013-08-03_final
2013-08-03 11:36:40	ga_ls8c_ard_3-0-0_112080_2013-08-03_final
2013-08-03 11:37:04	ga_ls8c_ard_3-0-0_112081_2013-08-03_final
2013-08-03 11:37:28	ga_ls8c_ard_3-0-0_112082_2013-08-03_final
2013-10-13 11:39:31	ga_ls8c_ard_3-0-0_113072_2013-10-13_final
2013-10-13 11:39:55	ga_ls8c_ard_3-1-0_113073_2013-10-13_final
2013-10-13 11:41:07	ga_ls8c_ard_3-0-0_113076_2013-10-13_final
2013-10-13 11:41:31	ga_ls8c_ard_3-0-0_113077_2013-10-13_final
2013-10-13 11:41:55	ga_ls8c_ard_3-0-0_113078_2013-10-13_final
2013-10-15 11:30:44	ga_ls8c_ard_3-0-0_111081_2013-10-15_final
2013-10-15 11:31:08	ga_ls8c_ard_3-0-0_111082_2013-10-15_final
2013-10-15 11:31:32	ga_ls8c_ard_3-0-0_111083_2013-10-15_final
2013-10-15 11:31:56	ga_ls8c_ard_3-0-0_111084_2013-10-15_final
2013-11-07 11:35:12	ga_ls8c_ard_3-0-0_112077_2013-11-07_final
2013-11-07 11:35:36	ga_ls8c_ard_3-0-0_112078_2013-11-07_final
2013-11-07 11:36:00	ga_ls8c_ard_3-0-0_112079_2013-11-07_final
2013-11-07 11:36:24	ga_ls8c_ard_3-0-0_112080_2013-11-07_final
2013-11-07 11:36:48	ga_ls8c_ard_3-0-0_112081_2013-11-07_final
2013-11-07 11:37:12	ga_ls8c_ard_3-0-0_112082_2013-11-07_final
2013-11-14 11:39:22	ga_ls8c_ard_3-0-0_113072_2013-11-14_final
2013-11-14 11:39:45	ga_ls8c_ard_3-1-0_113073_2013-11-14_final
2013-11-14 11:40:09	ga_ls8c_ard_3-0-0_113074_2013-11-14_final
2013-11-14 11:40:33	ga_ls8c_ard_3-0-0_113075_2013-11-14_final
2013-11-14 11:40:57	ga_ls8c_ard_3-0-0_113076_2013-11-14_final
2013-11-14 11:41:21	ga_ls8c_ard_3-0-0_113077_2013-11-14_final
2013-11-14 11:41:45	ga_ls8c_ard_3-0-0_113078_2013-11-14_final
2014-10-16 11:37:53	ga_ls8c_ard_3-0-0_113072_2014-10-16_final
2014-10-16 11:38:17	ga_ls8c_ard_3-0-0_113073_2014-10-16_final
2014-10-16 11:38:41	ga_ls8c_ard_3-0-0_113074_2014-10-16_final
2014-10-16 11:39:05	ga_ls8c_ard_3-0-0_113075_2014-10-16_final
2014-10-16 11:39:29	ga_ls8c_ard_3-0-0_113076_2014-10-16_final
2014-10-16 11:39:53	ga_ls8c_ard_3-0-0_113077_2014-10-16_final
2014-10-16 11:40:16	ga_ls8c_ard_3-0-0_113078_2014-10-16_final
2014-10-18 11:29:07	ga_ls8c_ard_3-0-0_111081_2014-10-18_final
2014-10-18 11:29:31	ga_ls8c_ard_3-0-0_111082_2014-10-18_final
2014-10-18 11:29:55	ga_ls8c_ard_3-0-0_111083_2014-10-18_final
2014-10-18 11:30:19	ga_ls8c_ard_3-0-0_111084_2014-10-18_final
2014-11-17 11:37:51	ga_ls8c_ard_3-0-0_113072_2014-11-17_final
2014-11-17 11:38:15	ga_ls8c_ard_3-0-0_113073_2014-11-17_final
2014-11-17 11:38:39	ga_ls8c_ard_3-0-0_113074_2014-11-17_final
2014-11-17 11:39:03	ga_ls8c_ard_3-0-0_113075_2014-11-17_final
2014-11-17 11:39:27	ga_ls8c_ard_3-0-0_113076_2014-11-17_final
2014-11-17 11:39:51	ga_ls8c_ard_3-0-0_113077_2014-11-17_final
2014-11-17 11:40:14	ga_ls8c_ard_3-0-0_113078_2014-11-17_final
2014-11-19 11:29:03	ga_ls8c_ard_3-0-0_111081_2014-11-19_final
2014-11-19 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-11-19_final
2014-11-19 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-11-19_final
2014-11-19 11:30:15	ga_ls8c_ard_3-0-0_111084_2014-11-19_final
2018-03-08 11:41:28	ga_ls8c_ard_3-0-0_114067_2018-03-08_final
2018-03-10 11:33:05	ga_ls8c_ard_3-0-0_112077_2018-03-10_final
2018-03-10 11:33:29	ga_ls8c_ard_3-0-0_112078_2018-03-10_final
2018-03-10 11:33:53	ga_ls8c_ard_3-0-0_112079_2018-03-10_final
2018-03-10 11:34:17	ga_ls8c_ard_3-0-0_112080_2018-03-10_final
2018-03-10 11:34:41	ga_ls8c_ard_3-0-0_112081_2018-03-10_final
2018-03-10 11:35:05	ga_ls8c_ard_3-0-0_112082_2018-03-10_final
2018-04-18 11:36:56	ga_ls8c_ard_3-0-0_113072_2018-04-18_final
2018-04-18 11:37:20	ga_ls8c_ard_3-0-0_113073_2018-04-18_final
2018-04-18 11:37:44	ga_ls8c_ard_3-0-0_113074_2018-04-18_final
2018-04-18 11:38:08	ga_ls8c_ard_3-0-0_113075_2018-04-18_final
2018-04-18 11:38:32	ga_ls8c_ard_3-0-0_113076_2018-04-18_final
2018-04-18 11:38:56	ga_ls8c_ard_3-0-0_113077_2018-04-18_final
2018-04-18 11:39:19	ga_ls8c_ard_3-0-0_113078_2018-04-18_final
2018-04-20 11:28:08	ga_ls8c_ard_3-0-0_111081_2018-04-20_final
2018-04-20 11:28:32	ga_ls8c_ard_3-0-0_111082_2018-04-20_final
2018-04-20 11:28:56	ga_ls8c_ard_3-0-0_111083_2018-04-20_final
2018-04-20 11:29:20	ga_ls8c_ard_3-0-0_111084_2018-04-20_final
2018-04-20 11:29:44	ga_ls8c_ard_3-0-0_111085_2018-04-20_final
2018-04-25 11:41:03	ga_ls8c_ard_3-0-0_114067_2018-04-25_final
2018-04-27 11:32:40	ga_ls8c_ard_3-0-0_112077_2018-04-27_final
2018-04-27 11:33:04	ga_ls8c_ard_3-0-0_112078_2018-04-27_final
2018-04-27 11:33:28	ga_ls8c_ard_3-0-0_112079_2018-04-27_final
2018-04-27 11:33:52	ga_ls8c_ard_3-0-0_112080_2018-04-27_final
2018-04-27 11:34:16	ga_ls8c_ard_3-0-0_112081_2018-04-27_final
2018-04-27 11:34:40	ga_ls8c_ard_3-0-0_112082_2018-04-27_final
2018-05-27 11:40:41	ga_ls8c_ard_3-0-0_114067_2018-05-27_final
2018-05-29 11:32:17	ga_ls8c_ard_3-0-0_112077_2018-05-29_final
2018-05-29 11:32:41	ga_ls8c_ard_3-0-0_112078_2018-05-29_final
2018-05-29 11:33:05	ga_ls8c_ard_3-0-0_112079_2018-05-29_final
2018-05-29 11:33:29	ga_ls8c_ard_3-0-0_112080_2018-05-29_final
2018-05-29 11:33:53	ga_ls8c_ard_3-0-0_112081_2018-05-29_final
2018-05-29 11:34:17	ga_ls8c_ard_3-0-0_112082_2018-05-29_final
2018-06-07 11:27:40	ga_ls8c_ard_3-0-0_111081_2018-06-07_final
2018-06-07 11:28:04	ga_ls8c_ard_3-0-0_111082_2018-06-07_final
2018-06-07 11:28:28	ga_ls8c_ard_3-0-0_111083_2018-06-07_final
2018-06-07 11:28:52	ga_ls8c_ard_3-0-0_111084_2018-06-07_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