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
2013-05-19 09:31:04	ga_ls8c_ard_3-0-0_092075_2013-05-19_final
2013-05-19 09:31:28	ga_ls8c_ard_3-0-0_092076_2013-05-19_final
2013-05-19 09:31:52	ga_ls8c_ard_3-0-0_092077_2013-05-19_final
2013-05-21 09:20:43	ga_ls8c_ard_3-0-0_090080_2013-05-20_final
2013-05-21 09:21:07	ga_ls8c_ard_3-0-0_090081_2013-05-20_final
2013-05-21 09:21:31	ga_ls8c_ard_3-0-0_090082_2013-05-20_final
2013-05-21 09:21:55	ga_ls8c_ard_3-0-0_090083_2013-05-20_final
2013-05-21 09:22:19	ga_ls8c_ard_3-0-0_090084_2013-05-20_final
2013-05-21 09:22:43	ga_ls8c_ard_3-0-0_090085_2013-05-20_final
2013-06-22 09:20:36	ga_ls8c_ard_3-0-0_090080_2013-06-21_final
2013-06-22 09:21:00	ga_ls8c_ard_3-0-0_090081_2013-06-21_final
2013-06-22 09:21:24	ga_ls8c_ard_3-0-0_090082_2013-06-21_final
2013-06-22 09:21:48	ga_ls8c_ard_3-0-0_090083_2013-06-21_final
2013-06-22 09:22:12	ga_ls8c_ard_3-0-0_090084_2013-06-21_final
2013-06-22 09:22:36	ga_ls8c_ard_3-0-0_090085_2013-06-21_final
2013-09-19 09:18:03	ga_ls8c_ard_3-0-0_089089_2013-09-18_final
2013-09-22 09:40:09	ga_ls8c_ard_3-0-0_094067_2013-09-22_final
2013-09-24 09:30:57	ga_ls8c_ard_3-0-0_092075_2013-09-24_final
2013-09-24 09:31:21	ga_ls8c_ard_3-0-0_092076_2013-09-24_final
2013-09-24 09:31:45	ga_ls8c_ard_3-0-0_092077_2013-09-24_final
2015-12-03 09:27:36	ga_ls8c_ard_3-0-0_092071_2015-12-02_final
2015-12-03 09:28:00	ga_ls8c_ard_3-0-0_092072_2015-12-02_final
2015-12-03 09:28:24	ga_ls8c_ard_3-0-0_092073_2015-12-02_final
2015-12-03 09:28:48	ga_ls8c_ard_3-0-0_092074_2015-12-02_final
2015-12-03 09:29:12	ga_ls8c_ard_3-0-0_092075_2015-12-02_final
2015-12-03 09:29:36	ga_ls8c_ard_3-0-0_092076_2015-12-02_final
2015-12-03 09:30:00	ga_ls8c_ard_3-0-0_092077_2015-12-03_final
2015-12-05 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-12-04_final
2015-12-05 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-12-04_final
2015-12-05 09:19:38	ga_ls8c_ard_3-0-0_090082_2015-12-04_final
2015-12-05 09:20:02	ga_ls8c_ard_3-0-0_090083_2015-12-04_final
2015-12-05 09:20:26	ga_ls8c_ard_3-0-0_090084_2015-12-04_final
2015-12-05 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-04_final
2016-01-31 09:14:10	ga_ls8c_ard_3-0-0_089084_2016-01-30_final
2016-01-31 09:14:34	ga_ls8c_ard_3-0-0_089085_2016-01-30_final
2016-01-31 09:14:58	ga_ls8c_ard_3-0-0_089086_2016-01-30_final
2016-01-31 09:15:22	ga_ls8c_ard_3-0-0_089087_2016-01-30_final
2016-01-31 09:15:46	ga_ls8c_ard_3-0-0_089088_2016-01-30_final
2016-01-31 09:16:10	ga_ls8c_ard_3-0-0_089089_2016-01-30_final
2016-02-03 09:38:16	ga_ls8c_ard_3-0-0_094067_2016-02-03_final
2016-03-03 09:14:00	ga_ls8c_ard_3-0-0_089084_2016-03-02_final
2016-03-03 09:14:24	ga_ls8c_ard_3-0-0_089085_2016-03-02_final
2016-03-03 09:14:48	ga_ls8c_ard_3-0-0_089086_2016-03-02_final
2016-03-03 09:15:12	ga_ls8c_ard_3-0-0_089087_2016-03-02_final
2016-03-03 09:15:36	ga_ls8c_ard_3-0-0_089088_2016-03-02_final
2016-03-03 09:16:00	ga_ls8c_ard_3-0-0_089089_2016-03-02_final
2018-05-08 09:31:09	ga_ls8c_ard_3-0-0_093067_2018-05-08_final
2018-05-08 09:31:33	ga_ls8c_ard_3-0-0_093068_2018-05-08_final
2018-05-24 09:30:57	ga_ls8c_ard_3-0-0_093067_2018-05-24_final
2018-05-24 09:31:21	ga_ls8c_ard_3-0-0_093068_2018-05-24_final
2018-06-20 09:17:38	ga_ls8c_ard_3-0-0_090080_2018-06-19_final
2018-06-20 09:18:02	ga_ls8c_ard_3-0-0_090081_2018-06-19_final
2018-06-20 09:18:26	ga_ls8c_ard_3-0-0_090082_2018-06-19_final
2018-06-20 09:18:50	ga_ls8c_ard_3-0-0_090083_2018-06-19_final
2018-06-20 09:19:14	ga_ls8c_ard_3-0-0_090084_2018-06-19_final
2018-06-20 09:19:38	ga_ls8c_ard_3-0-0_090085_2018-06-19_final
2018-06-25 09:31:03	ga_ls8c_ard_3-0-0_093067_2018-06-25_final
2018-06-25 09:31:27	ga_ls8c_ard_3-0-0_093068_2018-06-25_final
2018-07-06 09:17:48	ga_ls8c_ard_3-0-0_090080_2018-07-05_final
2018-07-06 09:18:11	ga_ls8c_ard_3-0-0_090081_2018-07-05_final
2018-07-06 09:18:35	ga_ls8c_ard_3-0-0_090082_2018-07-05_final
2018-07-06 09:18:59	ga_ls8c_ard_3-0-0_090083_2018-07-05_final
2018-07-06 09:19:23	ga_ls8c_ard_3-0-0_090084_2018-07-05_final
2018-07-06 09:19:47	ga_ls8c_ard_3-0-0_090085_2018-07-05_final
2018-07-11 09:31:11	ga_ls8c_ard_3-0-0_093067_2018-07-11_final
2018-07-11 09:31:35	ga_ls8c_ard_3-0-0_093068_2018-07-11_final
2019-02-20 09:31:46	ga_ls8c_ard_3-0-0_093067_2019-02-20_final
2019-02-20 09:32:10	ga_ls8c_ard_3-0-0_093068_2019-02-20_final
2019-03-12 09:13:43	ga_ls8c_ard_3-1-0_089084_2019-03-11_final
2019-03-12 09:14:07	ga_ls8c_ard_3-1-0_089085_2019-03-11_final
2019-03-12 09:14:31	ga_ls8c_ard_3-1-0_089086_2019-03-11_final
2019-03-12 09:14:55	ga_ls8c_ard_3-1-0_089087_2019-03-11_final
2019-03-12 09:15:19	ga_ls8c_ard_3-1-0_089088_2019-03-11_final
2019-03-12 09:15:43	ga_ls8c_ard_3-1-0_089089_2019-03-11_final
2019-03-15 09:37:49	ga_ls8c_ard_3-1-0_094067_2019-03-15_final
2019-03-19 09:18:17	ga_ls8c_ard_3-1-0_090080_2019-03-18_final
2019-03-19 09:18:41	ga_ls8c_ard_3-1-0_090081_2019-03-18_final
2019-03-19 09:19:05	ga_ls8c_ard_3-1-0_090082_2019-03-18_final
2019-03-19 09:19:29	ga_ls8c_ard_3-1-0_090083_2019-03-18_final
2019-03-19 09:19:53	ga_ls8c_ard_3-1-0_090084_2019-03-18_final
2019-03-19 09:20:17	ga_ls8c_ard_3-1-0_090085_2019-03-18_final
2019-04-25 09:31:26	ga_ls8c_ard_3-0-0_093067_2019-04-25_final
2019-06-14 09:23:06	ga_ls8c_ard_3-1-0_091076_2019-06-13_final
2019-06-14 09:23:30	ga_ls8c_ard_3-1-0_091077_2019-06-13_final
2019-06-14 09:23:54	ga_ls8c_ard_3-1-0_091078_2019-06-13_final
2019-06-14 09:24:18	ga_ls8c_ard_3-1-0_091079_2019-06-13_final
2019-06-14 09:24:42	ga_ls8c_ard_3-1-0_091080_2019-06-13_final
2019-06-14 09:25:05	ga_ls8c_ard_3-1-0_091081_2019-06-13_final
2019-06-21 09:27:19	ga_ls8c_ard_3-1-0_092071_2019-06-20_final
2019-06-21 09:27:43	ga_ls8c_ard_3-1-0_092072_2019-06-20_final
2019-06-21 09:28:07	ga_ls8c_ard_3-1-0_092073_2019-06-20_final
2019-06-21 09:28:31	ga_ls8c_ard_3-1-0_092074_2019-06-20_final
2019-06-21 09:28:55	ga_ls8c_ard_3-1-0_092075_2019-06-20_final
2019-06-21 09:29:19	ga_ls8c_ard_3-1-0_092076_2019-06-20_final
2019-06-21 09:29:43	ga_ls8c_ard_3-1-0_092077_2019-06-20_final
2019-06-23 09:18:34	ga_ls8c_ard_3-1-0_090080_2019-06-22_final
2019-06-23 09:18:58	ga_ls8c_ard_3-1-0_090081_2019-06-22_final
2019-06-23 09:19:22	ga_ls8c_ard_3-1-0_090082_2019-06-22_final
2019-06-23 09:19:46	ga_ls8c_ard_3-1-0_090083_2019-06-22_final
2019-06-23 09:20:09	ga_ls8c_ard_3-1-0_090084_2019-06-22_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