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
2015-04-28 11:24:34	ga_ls8c_ard_3-0-0_111072_2015-04-28_final
2015-04-28 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-04-28_final
2015-04-28 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-04-28_final
2015-04-28 11:25:46	ga_ls8c_ard_3-0-0_111075_2015-04-28_final
2015-04-28 11:26:10	ga_ls8c_ard_3-0-0_111076_2015-04-28_final
2015-04-28 11:26:34	ga_ls8c_ard_3-0-0_111077_2015-04-28_final
2015-04-28 11:26:58	ga_ls8c_ard_3-0-0_111078_2015-04-28_final
2015-04-30 11:15:46	ga_ls8c_ard_3-0-0_109081_2015-04-30_final
2015-04-30 11:16:10	ga_ls8c_ard_3-0-0_109082_2015-04-30_final
2015-04-30 11:16:34	ga_ls8c_ard_3-0-0_109083_2015-04-30_final
2015-04-30 11:16:58	ga_ls8c_ard_3-0-0_109084_2015-04-30_final
2016-03-06 11:20:59	ga_ls8c_ard_3-0-0_110077_2016-03-06_final
2016-03-06 11:21:23	ga_ls8c_ard_3-0-0_110078_2016-03-06_final
2016-03-06 11:21:47	ga_ls8c_ard_3-0-0_110079_2016-03-06_final
2016-03-06 11:22:11	ga_ls8c_ard_3-0-0_110080_2016-03-06_final
2016-03-06 11:22:35	ga_ls8c_ard_3-0-0_110081_2016-03-06_final
2016-03-06 11:22:59	ga_ls8c_ard_3-0-0_110082_2016-03-06_final
2016-03-08 11:11:49	ga_ls8c_ard_3-0-0_108085_2016-03-08_final
2019-12-10 11:29:47	ga_ls8c_ard_3-1-0_112067_2019-12-10_final
2019-12-10 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-12-10_final
2019-12-10 11:30:35	ga_ls8c_ard_3-1-0_112069_2019-12-10_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2019-12-10 11:31:23	ga_ls8c_ard_3-1-0_112071_2019-12-10_final
2019-12-10 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-12-10_final
2019-12-10 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-12-10_final
2020-01-11 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-01-11_final
2020-01-11 11:30:04	ga_ls8c_ard_3-1-0_112068_2020-01-11_final
2020-01-11 11:30:28	ga_ls8c_ard_3-1-0_112069_2020-01-11_final
2020-01-11 11:30:52	ga_ls8c_ard_3-1-0_112070_2020-01-11_final
2020-01-11 11:31:16	ga_ls8c_ard_3-1-0_112071_2020-01-11_final
2020-01-11 11:31:39	ga_ls8c_ard_3-1-0_112072_2020-01-11_final
2020-01-11 11:32:03	ga_ls8c_ard_3-1-0_112073_2020-01-11_final
2020-01-13 11:21:17	ga_ls8c_ard_3-1-0_110077_2020-01-13_final
2020-01-13 11:21:41	ga_ls8c_ard_3-1-0_110078_2020-01-13_final
2020-01-13 11:22:05	ga_ls8c_ard_3-1-0_110079_2020-01-13_final
2020-01-13 11:22:29	ga_ls8c_ard_3-1-0_110080_2020-01-13_final
2020-01-13 11:22:53	ga_ls8c_ard_3-1-0_110081_2020-01-13_final
2020-01-13 11:23:17	ga_ls8c_ard_3-1-0_110082_2020-01-13_final
2020-01-29 11:21:12	ga_ls8c_ard_3-1-0_110077_2020-01-29_final
2020-01-29 11:21:36	ga_ls8c_ard_3-1-0_110078_2020-01-29_final
2020-01-29 11:22:00	ga_ls8c_ard_3-1-0_110079_2020-01-29_final
2020-01-29 11:22:24	ga_ls8c_ard_3-1-0_110080_2020-01-29_final
2020-01-29 11:22:48	ga_ls8c_ard_3-1-0_110081_2020-01-29_final
2020-01-29 11:23:12	ga_ls8c_ard_3-1-0_110082_2020-01-29_final
2020-02-14 11:21:08	ga_ls8c_ard_3-1-0_110077_2020-02-14_final
2020-02-14 11:21:32	ga_ls8c_ard_3-1-0_110078_2020-02-14_final
2020-02-14 11:21:56	ga_ls8c_ard_3-1-0_110079_2020-02-14_final
2020-02-14 11:22:20	ga_ls8c_ard_3-1-0_110080_2020-02-14_final
2020-02-14 11:22:44	ga_ls8c_ard_3-1-0_110081_2020-02-14_final
2020-02-14 11:23:08	ga_ls8c_ard_3-1-0_110082_2020-02-14_final
2020-02-16 11:11:58	ga_ls8c_ard_3-1-0_108085_2020-02-16_final
2020-02-23 11:16:31	ga_ls8c_ard_3-1-0_109081_2020-02-23_final
2020-02-23 11:16:55	ga_ls8c_ard_3-1-0_109082_2020-02-23_final
2020-02-23 11:17:19	ga_ls8c_ard_3-1-0_109083_2020-02-23_final
2020-02-23 11:17:43	ga_ls8c_ard_3-1-0_109084_2020-02-23_final
2020-02-23 11:18:07	ga_ls8c_ard_3-1-0_109085_2020-02-23_final
2020-02-28 11:29:27	ga_ls8c_ard_3-1-0_112067_2020-02-28_final
2020-02-28 11:29:51	ga_ls8c_ard_3-1-0_112068_2020-02-28_final
2020-02-28 11:30:15	ga_ls8c_ard_3-1-0_112069_2020-02-28_final
2020-02-28 11:30:39	ga_ls8c_ard_3-1-0_112070_2020-02-28_final
2020-02-28 11:31:02	ga_ls8c_ard_3-1-0_112071_2020-02-28_final
2020-02-28 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-02-28_final
2020-02-28 11:31:50	ga_ls8c_ard_3-1-0_112073_2020-02-28_final
2021-05-07 11:20:35	ga_ls8c_ard_3-2-0_110077_2021-05-07_final
2021-05-07 11:20:59	ga_ls8c_ard_3-2-0_110078_2021-05-07_final
2021-05-07 11:21:23	ga_ls8c_ard_3-2-0_110079_2021-05-07_final
2021-05-07 11:21:47	ga_ls8c_ard_3-2-0_110080_2021-05-07_final
2021-05-07 11:22:11	ga_ls8c_ard_3-2-0_110081_2021-05-07_final
2021-05-07 11:22:35	ga_ls8c_ard_3-2-0_110082_2021-05-07_final
2021-05-09 11:11:03	ga_ls8c_ard_3-2-0_108084_2021-05-09_final
2021-05-09 11:11:27	ga_ls8c_ard_3-2-0_108085_2021-05-09_final
2021-06-22 11:29:20	ga_ls8c_ard_3-2-0_112067_2021-06-22_final
2021-06-22 11:29:44	ga_ls8c_ard_3-2-0_112068_2021-06-22_final
2021-06-22 11:30:08	ga_ls8c_ard_3-2-0_112069_2021-06-22_final
2021-06-22 11:30:32	ga_ls8c_ard_3-2-0_112070_2021-06-22_final
2021-06-22 11:30:56	ga_ls8c_ard_3-2-0_112071_2021-06-22_final
2021-06-22 11:31:20	ga_ls8c_ard_3-2-0_112072_2021-06-22_final
2021-06-22 11:31:44	ga_ls8c_ard_3-2-0_112073_2021-06-22_final
2021-06-24 11:20:59	ga_ls8c_ard_3-2-0_110077_2021-06-24_final
2021-06-24 11:21:23	ga_ls8c_ard_3-2-0_110078_2021-06-24_final
2021-06-24 11:21:46	ga_ls8c_ard_3-2-0_110079_2021-06-24_final
2021-06-24 11:22:10	ga_ls8c_ard_3-2-0_110080_2021-06-24_final
2021-06-24 11:22:34	ga_ls8c_ard_3-2-0_110081_2021-06-24_final
2021-06-24 11:22:58	ga_ls8c_ard_3-2-0_110082_2021-06-24_final
2021-06-26 11:11:25	ga_ls8c_ard_3-2-0_108084_2021-06-26_final
2021-06-26 11:11:49	ga_ls8c_ard_3-2-0_108085_2021-06-26_final
2021-07-03 11:16:25	ga_ls8c_ard_3-2-0_109081_2021-07-03_final
2021-07-03 11:16:49	ga_ls8c_ard_3-2-0_109082_2021-07-03_final
2021-07-03 11:17:13	ga_ls8c_ard_3-2-0_109083_2021-07-03_final
2021-07-03 11:17:37	ga_ls8c_ard_3-2-0_109084_2021-07-03_final
2021-07-03 11:18:01	ga_ls8c_ard_3-2-0_109085_2021-07-03_final
2021-07-15 11:35:34	ga_ls8c_ard_3-2-0_113067_2021-07-15_final
2021-07-19 11:16:28	ga_ls8c_ard_3-2-0_109081_2021-07-19_final
2021-07-19 11:16:52	ga_ls8c_ard_3-2-0_109082_2021-07-19_final
2021-07-19 11:17:15	ga_ls8c_ard_3-2-0_109083_2021-07-19_final
2021-07-19 11:17:39	ga_ls8c_ard_3-2-0_109084_2021-07-19_final
2021-07-19 11:18:03	ga_ls8c_ard_3-2-0_109085_2021-07-19_final
2021-08-27 11:22:06	ga_ls8c_ard_3-2-0_110079_2021-08-27_final
2021-08-27 11:22:54	ga_ls8c_ard_3-2-0_110081_2021-08-27_final
2021-08-27 11:23:18	ga_ls8c_ard_3-2-0_110082_2021-08-27_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