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
2015-12-07 09:06:28	ga_ls8c_ard_3-0-0_088080_2015-12-06_final
2015-12-07 09:06:52	ga_ls8c_ard_3-1-0_088081_2015-12-06_final
2015-12-07 09:07:16	ga_ls8c_ard_3-0-0_088082_2015-12-06_final
2015-12-07 09:07:40	ga_ls8c_ard_3-0-0_088083_2015-12-06_final
2015-12-07 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-06_final
2015-12-28 09:21:49	ga_ls8c_ard_3-0-0_091072_2015-12-27_final
2015-12-28 09:22:12	ga_ls8c_ard_3-0-0_091073_2015-12-27_final
2015-12-30 09:11:02	ga_ls8c_ard_3-0-0_089076_2015-12-29_final
2015-12-30 09:11:26	ga_ls8c_ard_3-0-0_089077_2015-12-29_final
2015-12-30 09:11:50	ga_ls8c_ard_3-0-0_089078_2015-12-29_final
2015-12-30 09:12:14	ga_ls8c_ard_3-0-0_089079_2015-12-29_final
2015-12-30 09:12:38	ga_ls8c_ard_3-0-0_089080_2015-12-29_final
2015-12-30 09:13:02	ga_ls8c_ard_3-0-0_089081_2015-12-29_final
2015-12-30 09:13:26	ga_ls8c_ard_3-0-0_089082_2015-12-29_final
2016-01-24 09:06:25	ga_ls8c_ard_3-0-0_088080_2016-01-23_final
2016-01-24 09:06:49	ga_ls8c_ard_3-1-0_088081_2016-01-23_final
2016-01-24 09:07:13	ga_ls8c_ard_3-0-0_088082_2016-01-23_final
2016-01-24 09:07:37	ga_ls8c_ard_3-0-0_088083_2016-01-23_final
2016-01-24 09:08:01	ga_ls8c_ard_3-0-0_088084_2016-01-23_final
2016-02-14 09:21:38	ga_ls8c_ard_3-0-0_091072_2016-02-13_final
2016-02-14 09:22:02	ga_ls8c_ard_3-0-0_091073_2016-02-13_final
2016-02-16 09:10:50	ga_ls8c_ard_3-0-0_089076_2016-02-15_final
2016-02-16 09:11:14	ga_ls8c_ard_3-0-0_089077_2016-02-15_final
2016-02-16 09:11:38	ga_ls8c_ard_3-0-0_089078_2016-02-15_final
2016-02-16 09:12:02	ga_ls8c_ard_3-0-0_089079_2016-02-15_final
2016-02-16 09:12:26	ga_ls8c_ard_3-0-0_089080_2016-02-15_final
2016-02-16 09:12:50	ga_ls8c_ard_3-0-0_089081_2016-02-15_final
2016-02-16 09:13:14	ga_ls8c_ard_3-0-0_089082_2016-02-15_final
2016-02-21 09:25:46	ga_ls8c_ard_3-0-0_092067_2016-02-20_final
2016-02-21 09:26:09	ga_ls8c_ard_3-0-0_092068_2016-02-20_final
2016-03-01 09:19:59	ga_ls8c_ard_3-0-0_091068_2016-02-29_final
2016-03-01 09:21:35	ga_ls8c_ard_3-0-0_091072_2016-02-29_final
2016-03-01 09:21:58	ga_ls8c_ard_3-0-0_091073_2016-02-29_final
2016-03-08 09:25:45	ga_ls8c_ard_3-0-0_092067_2016-03-07_final
2016-03-08 09:26:09	ga_ls8c_ard_3-0-0_092068_2016-03-07_final
2016-03-17 09:19:54	ga_ls8c_ard_3-0-0_091068_2016-03-16_final
2016-03-17 09:21:30	ga_ls8c_ard_3-0-0_091072_2016-03-16_final
2016-03-17 09:21:54	ga_ls8c_ard_3-0-0_091073_2016-03-16_final
2016-03-19 09:10:43	ga_ls8c_ard_3-0-0_089076_2016-03-18_final
2016-03-19 09:11:07	ga_ls8c_ard_3-0-0_089077_2016-03-18_final
2016-03-19 09:11:31	ga_ls8c_ard_3-0-0_089078_2016-03-18_final
2016-03-19 09:11:55	ga_ls8c_ard_3-0-0_089079_2016-03-18_final
2016-03-19 09:12:19	ga_ls8c_ard_3-0-0_089080_2016-03-18_final
2016-03-19 09:12:43	ga_ls8c_ard_3-0-0_089081_2016-03-18_final
2016-03-19 09:13:07	ga_ls8c_ard_3-0-0_089082_2016-03-18_final
2016-04-04 09:10:34	ga_ls8c_ard_3-0-0_089076_2016-04-03_final
2016-04-04 09:10:58	ga_ls8c_ard_3-0-0_089077_2016-04-03_final
2016-04-04 09:11:21	ga_ls8c_ard_3-0-0_089078_2016-04-03_final
2016-04-04 09:11:45	ga_ls8c_ard_3-0-0_089079_2016-04-03_final
2016-04-04 09:12:09	ga_ls8c_ard_3-0-0_089080_2016-04-03_final
2016-04-09 09:25:29	ga_ls8c_ard_3-0-0_092067_2016-04-08_final
2016-04-09 09:25:53	ga_ls8c_ard_3-0-0_092068_2016-04-08_final
2018-02-14 09:06:33	ga_ls8c_ard_3-1-0_088081_2018-02-13_final
2018-02-14 09:06:57	ga_ls8c_ard_3-0-0_088082_2018-02-13_final
2018-02-14 09:07:21	ga_ls8c_ard_3-0-0_088083_2018-02-13_final
2018-02-14 09:07:45	ga_ls8c_ard_3-0-0_088084_2018-02-13_final
2018-04-19 09:06:00	ga_ls8c_ard_3-1-0_088081_2018-04-18_final
2018-04-19 09:06:24	ga_ls8c_ard_3-0-0_088082_2018-04-18_final
2018-04-19 09:06:48	ga_ls8c_ard_3-0-0_088083_2018-04-18_final
2018-04-19 09:07:12	ga_ls8c_ard_3-0-0_088084_2018-04-18_final
2018-06-04 09:15:05	ga_ls8c_ard_3-0-0_090074_2018-06-03_final
2018-06-04 09:15:29	ga_ls8c_ard_3-0-0_090075_2018-06-03_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-04 09:16:17	ga_ls8c_ard_3-0-0_090077_2018-06-03_final
2018-07-31 09:10:12	ga_ls8c_ard_3-0-0_089076_2018-07-30_final
2018-07-31 09:10:36	ga_ls8c_ard_3-0-0_089077_2018-07-30_final
2018-07-31 09:11:00	ga_ls8c_ard_3-0-0_089078_2018-07-30_final
2018-07-31 09:11:24	ga_ls8c_ard_3-0-0_089079_2018-07-30_final
2018-07-31 09:11:48	ga_ls8c_ard_3-0-0_089080_2018-07-30_final
2018-07-31 09:12:12	ga_ls8c_ard_3-0-0_089081_2018-07-30_final
2018-07-31 09:12:36	ga_ls8c_ard_3-0-0_089082_2018-07-30_final
2018-09-10 09:05:56	ga_ls8c_ard_3-0-0_088080_2018-09-09_final
2018-09-10 09:06:20	ga_ls8c_ard_3-1-0_088081_2018-09-09_final
2018-09-10 09:06:44	ga_ls8c_ard_3-0-0_088082_2018-09-09_final
2018-09-10 09:07:08	ga_ls8c_ard_3-0-0_088083_2018-09-09_final
2018-09-10 09:07:32	ga_ls8c_ard_3-0-0_088084_2018-09-09_final
2018-09-17 09:10:33	ga_ls8c_ard_3-0-0_089076_2018-09-16_final
2018-09-17 09:10:57	ga_ls8c_ard_3-0-0_089077_2018-09-16_final
2018-09-17 09:11:21	ga_ls8c_ard_3-0-0_089078_2018-09-16_final
2018-09-17 09:11:45	ga_ls8c_ard_3-0-0_089079_2018-09-16_final
2018-09-17 09:12:09	ga_ls8c_ard_3-0-0_089080_2018-09-16_final
2018-09-17 09:12:33	ga_ls8c_ard_3-0-0_089081_2018-09-16_final
2018-09-17 09:12:56	ga_ls8c_ard_3-0-0_089082_2018-09-16_final
2018-09-24 09:15:58	ga_ls8c_ard_3-0-0_090074_2018-09-23_final
2018-09-24 09:16:22	ga_ls8c_ard_3-0-0_090075_2018-09-23_final
2018-09-24 09:16:46	ga_ls8c_ard_3-0-0_090076_2018-09-23_final
2018-09-24 09:17:10	ga_ls8c_ard_3-0-0_090077_2018-09-23_final
2018-10-03 09:10:40	ga_ls8c_ard_3-0-0_089076_2018-10-02_final
2018-10-03 09:11:04	ga_ls8c_ard_3-0-0_089077_2018-10-02_final
2018-10-03 09:11:28	ga_ls8c_ard_3-0-0_089078_2018-10-02_final
2018-10-03 09:11:52	ga_ls8c_ard_3-0-0_089079_2018-10-02_final
2018-10-03 09:12:16	ga_ls8c_ard_3-0-0_089080_2018-10-02_final
2018-10-03 09:12:40	ga_ls8c_ard_3-0-0_089081_2018-10-02_final
2018-10-03 09:13:04	ga_ls8c_ard_3-0-0_089082_2018-10-02_final
2018-10-12 09:06:09	ga_ls8c_ard_3-0-0_088080_2018-10-11_final
2018-10-12 09:06:33	ga_ls8c_ard_3-0-0_088081_2018-10-11_final
2018-10-12 09:06:57	ga_ls8c_ard_3-0-0_088082_2018-10-11_final
2018-10-12 09:07:21	ga_ls8c_ard_3-0-0_088083_2018-10-11_final
2018-10-12 09:07:45	ga_ls8c_ard_3-0-0_088084_2018-10-11_final
2018-10-24 09:25:45	ga_ls8c_ard_3-0-0_092067_2018-10-23_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