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
2013-12-11 09:39:49	ga_ls8c_ard_3-0-0_094067_2013-12-11_final
2013-12-13 09:29:26	ga_ls8c_ard_3-0-0_092072_2013-12-12_final
2014-01-21 09:33:11	ga_ls8c_ard_3-0-0_093067_2014-01-21_final
2014-01-21 09:33:35	ga_ls8c_ard_3-0-0_093068_2014-01-21_final
2014-01-21 09:34:47	ga_ls8c_ard_3-0-0_093071_2014-01-21_final
2014-01-21 09:35:11	ga_ls8c_ard_3-0-0_093072_2014-01-21_final
2014-02-01 09:19:45	ga_ls8c_ard_3-0-0_090080_2014-01-31_final
2014-02-01 09:20:09	ga_ls8c_ard_3-0-0_090081_2014-01-31_final
2014-02-01 09:20:33	ga_ls8c_ard_3-0-0_090082_2014-01-31_final
2014-02-01 09:20:57	ga_ls8c_ard_3-0-0_090083_2014-01-31_final
2014-02-01 09:21:21	ga_ls8c_ard_3-0-0_090084_2014-01-31_final
2014-02-01 09:21:45	ga_ls8c_ard_3-0-0_090085_2014-01-31_final
2014-05-06 09:27:29	ga_ls8c_ard_3-0-0_092072_2014-05-05_final
2014-05-06 09:28:41	ga_ls8c_ard_3-0-0_092075_2014-05-05_final
2014-05-06 09:29:05	ga_ls8c_ard_3-0-0_092076_2014-05-05_final
2014-05-22 09:27:22	ga_ls8c_ard_3-0-0_092072_2014-05-21_final
2014-05-22 09:27:46	ga_ls8c_ard_3-0-0_092073_2014-05-21_final
2014-05-22 09:28:10	ga_ls8c_ard_3-0-0_092074_2014-05-21_final
2014-05-22 09:28:34	ga_ls8c_ard_3-0-0_092075_2014-05-21_final
2014-05-22 09:28:58	ga_ls8c_ard_3-0-0_092076_2014-05-21_final
2015-02-25 09:33:27	ga_ls8c_ard_3-0-0_093071_2015-02-25_final
2015-02-25 09:33:50	ga_ls8c_ard_3-0-0_093072_2015-02-25_final
2015-02-27 09:22:40	ga_ls8c_ard_3-0-0_091075_2015-02-26_final
2015-02-27 09:23:04	ga_ls8c_ard_3-0-0_091076_2015-02-26_final
2015-02-27 09:23:28	ga_ls8c_ard_3-0-0_091077_2015-02-26_final
2015-02-27 09:23:52	ga_ls8c_ard_3-0-0_091078_2015-02-26_final
2015-02-27 09:24:16	ga_ls8c_ard_3-0-0_091079_2015-02-26_final
2015-02-27 09:24:40	ga_ls8c_ard_3-0-0_091080_2015-02-26_final
2015-02-27 09:25:04	ga_ls8c_ard_3-0-0_091081_2015-02-26_final
2015-03-13 09:31:39	ga_ls8c_ard_3-0-0_093067_2015-03-13_final
2015-03-13 09:32:03	ga_ls8c_ard_3-0-0_093068_2015-03-13_final
2015-03-29 09:31:31	ga_ls8c_ard_3-0-0_093067_2015-03-29_final
2015-03-29 09:31:55	ga_ls8c_ard_3-0-0_093068_2015-03-29_final
2015-04-07 09:26:50	ga_ls8c_ard_3-0-0_092071_2015-04-06_final
2015-04-07 09:27:14	ga_ls8c_ard_3-0-0_092072_2015-04-06_final
2015-04-07 09:27:38	ga_ls8c_ard_3-0-0_092073_2015-04-06_final
2015-04-07 09:28:02	ga_ls8c_ard_3-0-0_092074_2015-04-06_final
2015-04-07 09:28:26	ga_ls8c_ard_3-0-0_092075_2015-04-06_final
2015-04-09 09:18:04	ga_ls8c_ard_3-1-0_090080_2015-04-08_final
2015-04-09 09:18:28	ga_ls8c_ard_3-0-0_090081_2015-04-08_final
2015-04-09 09:18:52	ga_ls8c_ard_3-0-0_090082_2015-04-08_final
2015-04-09 09:19:16	ga_ls8c_ard_3-0-0_090083_2015-04-08_final
2015-04-09 09:19:40	ga_ls8c_ard_3-0-0_090084_2015-04-08_final
2015-04-09 09:20:04	ga_ls8c_ard_3-0-0_090085_2015-04-08_final
2015-05-20 09:12:45	ga_ls8c_ard_3-0-0_089083_2015-05-19_final
2015-05-20 09:13:09	ga_ls8c_ard_3-0-0_089084_2015-05-19_final
2015-05-20 09:13:33	ga_ls8c_ard_3-0-0_089085_2015-05-19_final
2015-05-20 09:13:57	ga_ls8c_ard_3-0-0_089086_2015-05-19_final
2015-05-20 09:14:21	ga_ls8c_ard_3-0-0_089087_2015-05-19_final
2015-05-20 09:14:45	ga_ls8c_ard_3-0-0_089088_2015-05-19_final
2015-05-20 09:15:09	ga_ls8c_ard_3-0-0_089089_2015-05-19_final
2015-06-05 09:12:53	ga_ls8c_ard_3-0-0_089083_2015-06-04_final
2015-06-05 09:13:17	ga_ls8c_ard_3-0-0_089084_2015-06-04_final
2015-06-05 09:13:41	ga_ls8c_ard_3-0-0_089085_2015-06-04_final
2015-06-05 09:14:05	ga_ls8c_ard_3-0-0_089086_2015-06-04_final
2015-06-05 09:14:29	ga_ls8c_ard_3-0-0_089087_2015-06-04_final
2015-06-05 09:14:53	ga_ls8c_ard_3-0-0_089088_2015-06-04_final
2015-06-05 09:15:17	ga_ls8c_ard_3-0-0_089089_2015-06-04_final
2017-10-12 09:32:20	ga_ls8c_ard_3-0-0_093067_2017-10-12_final
2017-10-12 09:32:44	ga_ls8c_ard_3-0-0_093068_2017-10-12_final
2017-10-12 09:33:56	ga_ls8c_ard_3-0-0_093071_2017-10-12_final
2017-11-13 09:32:18	ga_ls8c_ard_3-0-0_093067_2017-11-13_final
2017-11-13 09:32:42	ga_ls8c_ard_3-0-0_093068_2017-11-13_final
2017-12-10 09:18:50	ga_ls8c_ard_3-0-0_090080_2017-12-09_final
2017-12-10 09:19:14	ga_ls8c_ard_3-0-0_090081_2017-12-09_final
2017-12-10 09:19:38	ga_ls8c_ard_3-0-0_090082_2017-12-09_final
2017-12-10 09:20:02	ga_ls8c_ard_3-0-0_090083_2017-12-09_final
2017-12-10 09:20:26	ga_ls8c_ard_3-0-0_090084_2017-12-09_final
2017-12-10 09:20:50	ga_ls8c_ard_3-0-0_090085_2017-12-09_final
2017-12-15 09:32:13	ga_ls8c_ard_3-0-0_093067_2017-12-15_final
2017-12-15 09:32:37	ga_ls8c_ard_3-0-0_093068_2017-12-15_final
2018-01-11 09:18:23	ga_ls8c_ard_3-0-0_090079_2018-01-10_final
2018-01-11 09:18:47	ga_ls8c_ard_3-0-0_090080_2018-01-10_final
2018-01-11 09:19:11	ga_ls8c_ard_3-0-0_090081_2018-01-10_final
2018-01-11 09:19:35	ga_ls8c_ard_3-0-0_090082_2018-01-10_final
2018-01-11 09:19:59	ga_ls8c_ard_3-0-0_090083_2018-01-10_final
2018-01-11 09:20:23	ga_ls8c_ard_3-0-0_090084_2018-01-10_final
2018-01-11 09:20:47	ga_ls8c_ard_3-0-0_090085_2018-01-10_final
2018-01-16 09:32:06	ga_ls8c_ard_3-0-0_093067_2018-01-16_final
2018-01-16 09:32:30	ga_ls8c_ard_3-0-0_093068_2018-01-16_final
2020-06-18 09:13:23	ga_ls8c_ard_3-1-0_089083_2020-06-17_final
2020-06-18 09:13:47	ga_ls8c_ard_3-1-0_089084_2020-06-17_final
2020-06-18 09:14:11	ga_ls8c_ard_3-1-0_089085_2020-06-17_final
2020-06-18 09:14:35	ga_ls8c_ard_3-1-0_089086_2020-06-17_final
2020-06-18 09:14:59	ga_ls8c_ard_3-1-0_089087_2020-06-17_final
2020-06-18 09:15:23	ga_ls8c_ard_3-1-0_089088_2020-06-17_final
2020-06-18 09:15:47	ga_ls8c_ard_3-1-0_089089_2020-06-17_final
2020-07-25 09:27:23	ga_ls8c_ard_3-1-0_092071_2020-07-24_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-07-25 09:28:11	ga_ls8c_ard_3-1-0_092073_2020-07-24_final
2020-07-25 09:28:35	ga_ls8c_ard_3-1-0_092074_2020-07-24_final
2020-07-25 09:28:59	ga_ls8c_ard_3-1-0_092075_2020-07-24_final
2020-07-25 09:29:23	ga_ls8c_ard_3-1-0_092076_2020-07-24_final
2020-09-06 09:13:54	ga_ls8c_ard_3-1-0_089083_2020-09-05_final
2020-09-06 09:14:18	ga_ls8c_ard_3-1-0_089084_2020-09-05_final
2020-09-06 09:14:42	ga_ls8c_ard_3-1-0_089085_2020-09-05_final
2020-09-06 09:15:06	ga_ls8c_ard_3-1-0_089086_2020-09-05_final
2020-09-06 09:15:30	ga_ls8c_ard_3-1-0_089087_2020-09-05_final
2020-09-06 09:15:54	ga_ls8c_ard_3-1-0_089088_2020-09-05_final
2020-09-06 09:16:18	ga_ls8c_ard_3-1-0_089089_2020-09-05_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