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
2014-07-16 11:16:23	ga_ls8c_ard_3-0-0_109081_2014-07-16_final
2014-07-16 11:16:47	ga_ls8c_ard_3-0-0_109082_2014-07-16_final
2014-07-16 11:17:11	ga_ls8c_ard_3-0-0_109083_2014-07-16_final
2014-07-16 11:17:35	ga_ls8c_ard_3-0-0_109084_2014-07-16_final
2014-07-21 11:29:21	ga_ls8c_ard_3-0-0_112067_2014-07-21_final
2014-07-21 11:29:45	ga_ls8c_ard_3-0-0_112068_2014-07-21_final
2014-07-21 11:30:09	ga_ls8c_ard_3-0-0_112069_2014-07-21_final
2014-07-21 11:30:33	ga_ls8c_ard_3-0-0_112070_2014-07-21_final
2014-07-21 11:30:57	ga_ls8c_ard_3-0-0_112071_2014-07-21_final
2014-07-21 11:31:21	ga_ls8c_ard_3-0-0_112072_2014-07-21_final
2014-07-21 11:31:45	ga_ls8c_ard_3-0-0_112073_2014-07-21_final
2017-09-17 11:21:14	ga_ls8c_ard_3-0-0_110077_2017-09-17_final
2017-09-17 11:21:38	ga_ls8c_ard_3-0-0_110078_2017-09-17_final
2017-09-17 11:22:02	ga_ls8c_ard_3-0-0_110079_2017-09-17_final
2017-09-17 11:22:26	ga_ls8c_ard_3-0-0_110080_2017-09-17_final
2017-09-17 11:22:50	ga_ls8c_ard_3-0-0_110081_2017-09-17_final
2017-09-17 11:23:13	ga_ls8c_ard_3-0-0_110082_2017-09-17_final
2017-09-19 11:12:05	ga_ls8c_ard_3-0-0_108085_2017-09-19_final
2017-10-03 11:21:21	ga_ls8c_ard_3-0-0_110077_2017-10-03_final
2017-10-03 11:21:45	ga_ls8c_ard_3-0-0_110078_2017-10-03_final
2017-10-03 11:22:09	ga_ls8c_ard_3-0-0_110079_2017-10-03_final
2017-10-03 11:22:33	ga_ls8c_ard_3-0-0_110080_2017-10-03_final
2017-10-03 11:22:57	ga_ls8c_ard_3-0-0_110081_2017-10-03_final
2017-10-03 11:23:21	ga_ls8c_ard_3-0-0_110082_2017-10-03_final
2017-10-05 11:11:47	ga_ls8c_ard_3-0-0_108084_2017-10-05_final
2017-10-05 11:12:11	ga_ls8c_ard_3-0-0_108085_2017-10-05_final
2017-10-08 11:35:55	ga_ls8c_ard_3-0-0_113067_2017-10-08_final
2017-10-10 11:25:34	ga_ls8c_ard_3-0-0_111072_2017-10-10_final
2017-10-10 11:25:58	ga_ls8c_ard_3-0-0_111073_2017-10-10_final
2017-10-10 11:26:22	ga_ls8c_ard_3-0-0_111074_2017-10-10_final
2017-10-10 11:26:46	ga_ls8c_ard_3-0-0_111075_2017-10-10_final
2017-10-10 11:27:10	ga_ls8c_ard_3-0-0_111076_2017-10-10_final
2017-10-10 11:27:33	ga_ls8c_ard_3-0-0_111077_2017-10-10_final
2017-10-10 11:27:57	ga_ls8c_ard_3-0-0_111078_2017-10-10_final
2017-10-24 11:35:57	ga_ls8c_ard_3-0-0_113067_2017-10-24_final
2017-11-25 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-11-25_final
2017-12-27 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-12-27_final
2018-03-01 11:35:21	ga_ls8c_ard_3-0-0_113067_2018-03-01_final
2018-03-05 11:16:11	ga_ls8c_ard_3-0-0_109081_2018-03-05_final
2018-03-05 11:16:35	ga_ls8c_ard_3-0-0_109082_2018-03-05_final
2018-03-05 11:16:59	ga_ls8c_ard_3-0-0_109083_2018-03-05_final
2018-03-05 11:17:23	ga_ls8c_ard_3-0-0_109084_2018-03-05_final
2018-03-05 11:17:47	ga_ls8c_ard_3-0-0_109085_2018-03-05_final
2018-05-08 11:15:37	ga_ls8c_ard_3-0-0_109081_2018-05-08_final
2018-05-08 11:16:01	ga_ls8c_ard_3-0-0_109082_2018-05-08_final
2018-05-08 11:16:25	ga_ls8c_ard_3-0-0_109083_2018-05-08_final
2018-05-08 11:16:49	ga_ls8c_ard_3-0-0_109084_2018-05-08_final
2018-05-08 11:17:13	ga_ls8c_ard_3-0-0_109085_2018-05-08_final
2018-05-22 11:24:13	ga_ls8c_ard_3-0-0_111072_2018-05-22_final
2018-05-22 11:24:37	ga_ls8c_ard_3-0-0_111073_2018-05-22_final
2018-05-22 11:25:01	ga_ls8c_ard_3-0-0_111074_2018-05-22_final
2018-05-22 11:25:25	ga_ls8c_ard_3-0-0_111075_2018-05-22_final
2018-05-22 11:25:49	ga_ls8c_ard_3-0-0_111076_2018-05-22_final
2018-05-22 11:26:12	ga_ls8c_ard_3-0-0_111077_2018-05-22_final
2018-05-22 11:26:36	ga_ls8c_ard_3-0-0_111078_2018-05-22_final
2018-06-05 11:34:26	ga_ls8c_ard_3-0-0_113067_2018-06-05_final
2018-06-07 11:24:05	ga_ls8c_ard_3-0-0_111072_2018-06-07_final
2018-06-07 11:24:29	ga_ls8c_ard_3-0-0_111073_2018-06-07_final
2018-06-07 11:24:53	ga_ls8c_ard_3-0-0_111074_2018-06-07_final
2018-06-07 11:25:17	ga_ls8c_ard_3-0-0_111075_2018-06-07_final
2018-06-07 11:25:40	ga_ls8c_ard_3-0-0_111076_2018-06-07_final
2018-06-07 11:26:04	ga_ls8c_ard_3-0-0_111077_2018-06-07_final
2018-06-07 11:26:28	ga_ls8c_ard_3-0-0_111078_2018-06-07_final
2018-06-21 11:34:37	ga_ls8c_ard_3-0-0_113067_2018-06-21_final
2021-11-01 11:11:58	ga_ls8c_ard_3-2-0_108084_2021-11-01_final
2021-11-01 11:12:22	ga_ls8c_ard_3-2-0_108085_2021-11-01_final
2021-11-04 11:36:04	ga_ls8c_ard_3-2-0_113067_2021-11-04_final
2021-11-06 11:25:42	ga_ls8c_ard_3-2-0_111072_2021-11-06_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-11-06 11:26:30	ga_ls8c_ard_3-2-0_111074_2021-11-06_final
2021-11-06 11:26:53	ga_ls8c_ard_3-2-0_111075_2021-11-06_final
2021-11-06 11:27:17	ga_ls8c_ard_3-2-0_111076_2021-11-06_final
2021-11-06 11:27:41	ga_ls8c_ard_3-2-0_111077_2021-11-06_final
2021-11-06 11:28:05	ga_ls8c_ard_3-2-0_111078_2021-11-06_final
2021-11-08 11:16:55	ga_ls8c_ard_3-2-0_109081_2021-11-08_final
2021-11-08 11:17:19	ga_ls8c_ard_3-2-0_109082_2021-11-08_final
2021-11-08 11:17:43	ga_ls8c_ard_3-2-0_109083_2021-11-08_final
2021-11-08 11:18:07	ga_ls8c_ard_3-2-0_109084_2021-11-08_final
2021-11-08 11:18:31	ga_ls8c_ard_3-2-0_109085_2021-11-08_final
2021-11-24 11:17:16	ga_ls8c_ard_3-2-0_109082_2021-11-24_final
2021-11-24 11:18:04	ga_ls8c_ard_3-2-0_109084_2021-11-24_final
2021-12-08 11:25:39	ga_ls8c_ard_3-2-1_111072_2021-12-08_final
2021-12-08 11:26:03	ga_ls8c_ard_3-2-1_111073_2021-12-08_final
2021-12-08 11:26:27	ga_ls8c_ard_3-2-1_111074_2021-12-08_final
2021-12-08 11:26:51	ga_ls8c_ard_3-2-1_111075_2021-12-08_final
2021-12-08 11:27:15	ga_ls8c_ard_3-2-1_111076_2021-12-08_final
2021-12-08 11:27:39	ga_ls8c_ard_3-2-1_111077_2021-12-08_final
2021-12-08 11:28:02	ga_ls8c_ard_3-2-1_111078_2021-12-08_final
2022-01-09 11:25:32	ga_ls8c_ard_3-2-1_111072_2022-01-09_final
2022-01-09 11:25:56	ga_ls8c_ard_3-2-1_111073_2022-01-09_final
2022-01-09 11:26:19	ga_ls8c_ard_3-2-1_111074_2022-01-09_final
2022-01-09 11:26:43	ga_ls8c_ard_3-2-1_111075_2022-01-09_final
2022-01-09 11:27:07	ga_ls8c_ard_3-2-1_111076_2022-01-09_final
2022-01-09 11:27:31	ga_ls8c_ard_3-2-1_111077_2022-01-09_final
2022-01-09 11:27:55	ga_ls8c_ard_3-2-1_111078_2022-01-09_final
2022-01-18 11:21:19	ga_ls8c_ard_3-2-1_110077_2022-01-18_final
2022-01-18 11:21:42	ga_ls8c_ard_3-2-1_110078_2022-01-18_final
2022-01-18 11:22:06	ga_ls8c_ard_3-2-1_110079_2022-01-18_final
2022-01-18 11:22:30	ga_ls8c_ard_3-2-1_110080_2022-01-18_final
2022-01-18 11:22:54	ga_ls8c_ard_3-2-1_110081_2022-01-18_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