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
2014-03-10 09:32:36	ga_ls8c_ard_3-0-0_093067_2014-03-10_final
2014-03-12 09:23:49	ga_ls8c_ard_3-0-0_091076_2014-03-11_final
2014-04-04 09:26:03	ga_ls8c_ard_3-0-0_092067_2014-04-03_final
2014-04-04 09:26:27	ga_ls8c_ard_3-0-0_092068_2014-04-03_final
2014-04-04 09:28:03	ga_ls8c_ard_3-0-0_092072_2014-04-03_final
2014-04-15 09:12:29	ga_ls8c_ard_3-0-0_089080_2014-04-14_final
2014-04-15 09:12:53	ga_ls8c_ard_3-0-0_089081_2014-04-14_final
2014-04-15 09:13:17	ga_ls8c_ard_3-0-0_089082_2014-04-14_final
2014-04-15 09:13:41	ga_ls8c_ard_3-0-0_089083_2014-04-14_final
2014-04-15 09:14:05	ga_ls8c_ard_3-0-0_089084_2014-04-14_final
2014-04-15 09:14:29	ga_ls8c_ard_3-0-0_089085_2014-04-14_final
2014-04-20 09:25:46	ga_ls8c_ard_3-0-0_092067_2014-04-19_final
2014-04-20 09:26:10	ga_ls8c_ard_3-0-0_092068_2014-04-19_final
2014-04-20 09:27:46	ga_ls8c_ard_3-0-0_092072_2014-04-19_final
2014-05-06 09:25:30	ga_ls8c_ard_3-0-0_092067_2014-05-05_final
2014-05-06 09:25:54	ga_ls8c_ard_3-0-0_092068_2014-05-05_final
2014-05-06 09:27:29	ga_ls8c_ard_3-0-0_092072_2014-05-05_final
2014-05-13 09:31:37	ga_ls8c_ard_3-0-0_093067_2014-05-13_final
2014-05-29 09:31:37	ga_ls8c_ard_3-0-0_093067_2014-05-29_final
2014-06-23 09:27:35	ga_ls8c_ard_3-0-0_092072_2014-06-22_final
2014-06-25 09:16:25	ga_ls8c_ard_3-0-0_090075_2014-06-24_final
2014-06-25 09:16:49	ga_ls8c_ard_3-0-0_090076_2014-06-24_final
2014-06-25 09:17:12	ga_ls8c_ard_3-0-0_090077_2014-06-24_final
2014-06-25 09:17:36	ga_ls8c_ard_3-0-0_090078_2014-06-24_final
2014-06-25 09:18:00	ga_ls8c_ard_3-0-0_090079_2014-06-24_final
2014-06-25 09:18:24	ga_ls8c_ard_3-0-0_090080_2014-06-24_final
2014-06-25 09:18:48	ga_ls8c_ard_3-0-0_090081_2014-06-24_final
2014-06-30 09:31:48	ga_ls8c_ard_3-0-0_093067_2014-06-30_final
2014-07-09 09:25:43	ga_ls8c_ard_3-0-0_092067_2014-07-08_final
2014-07-09 09:26:07	ga_ls8c_ard_3-0-0_092068_2014-07-08_final
2014-07-09 09:27:42	ga_ls8c_ard_3-0-0_092072_2014-07-08_final
2014-07-11 09:16:33	ga_ls8c_ard_3-0-0_090075_2014-07-10_final
2014-07-11 09:16:57	ga_ls8c_ard_3-0-0_090076_2014-07-10_final
2014-07-11 09:17:21	ga_ls8c_ard_3-0-0_090077_2014-07-10_final
2014-07-11 09:17:45	ga_ls8c_ard_3-0-0_090078_2014-07-10_final
2014-07-11 09:18:09	ga_ls8c_ard_3-0-0_090079_2014-07-10_final
2014-07-11 09:18:33	ga_ls8c_ard_3-0-0_090080_2014-07-10_final
2014-07-11 09:18:57	ga_ls8c_ard_3-0-0_090081_2014-07-10_final
2014-09-20 09:22:12	ga_ls8c_ard_3-0-0_091073_2014-09-19_final
2014-09-20 09:22:36	ga_ls8c_ard_3-0-0_091074_2014-09-19_final
2014-09-20 09:23:00	ga_ls8c_ard_3-0-0_091075_2014-09-19_final
2014-09-20 09:23:24	ga_ls8c_ard_3-0-0_091076_2014-09-19_final
2014-09-22 09:13:25	ga_ls8c_ard_3-0-0_089082_2014-09-21_final
2014-09-22 09:13:49	ga_ls8c_ard_3-0-0_089083_2014-09-21_final
2014-09-22 09:14:13	ga_ls8c_ard_3-0-0_089084_2014-09-21_final
2014-09-22 09:14:37	ga_ls8c_ard_3-0-0_089085_2014-09-21_final
2014-10-31 09:16:52	ga_ls8c_ard_3-0-0_090075_2014-10-30_final
2018-09-13 09:31:40	ga_ls8c_ard_3-0-0_093067_2018-09-13_final
2018-09-15 09:21:18	ga_ls8c_ard_3-0-0_091072_2018-09-14_final
2018-09-15 09:21:42	ga_ls8c_ard_3-0-0_091073_2018-09-14_final
2018-09-15 09:22:06	ga_ls8c_ard_3-0-0_091074_2018-09-14_final
2018-09-15 09:22:30	ga_ls8c_ard_3-0-0_091075_2018-09-14_final
2018-09-15 09:22:54	ga_ls8c_ard_3-0-0_091076_2018-09-14_final
2018-09-29 09:31:46	ga_ls8c_ard_3-0-0_093067_2018-09-29_final
2018-10-01 09:21:25	ga_ls8c_ard_3-0-0_091072_2018-09-30_final
2018-10-01 09:21:49	ga_ls8c_ard_3-0-0_091073_2018-09-30_final
2018-10-01 09:22:13	ga_ls8c_ard_3-0-0_091074_2018-09-30_final
2018-10-01 09:22:37	ga_ls8c_ard_3-0-0_091075_2018-09-30_final
2018-10-01 09:23:01	ga_ls8c_ard_3-0-0_091076_2018-09-30_final
2018-10-15 09:31:53	ga_ls8c_ard_3-0-0_093067_2018-10-15_final
2018-10-17 09:21:32	ga_ls8c_ard_3-0-0_091072_2018-10-16_final
2018-10-17 09:21:56	ga_ls8c_ard_3-0-0_091073_2018-10-16_final
2018-10-17 09:22:20	ga_ls8c_ard_3-0-0_091074_2018-10-16_final
2018-10-17 09:22:44	ga_ls8c_ard_3-0-0_091075_2018-10-16_final
2018-10-17 09:23:08	ga_ls8c_ard_3-0-0_091076_2018-10-16_final
2018-10-31 09:31:58	ga_ls8c_ard_3-0-0_093067_2018-10-31_final
2018-11-02 09:21:36	ga_ls8c_ard_3-0-0_091072_2018-11-01_final
2018-11-02 09:22:00	ga_ls8c_ard_3-0-0_091073_2018-11-01_final
2018-11-02 09:22:24	ga_ls8c_ard_3-0-0_091074_2018-11-01_final
2018-11-02 09:22:48	ga_ls8c_ard_3-0-0_091075_2018-11-01_final
2018-11-02 09:23:12	ga_ls8c_ard_3-0-0_091076_2018-11-01_final
2018-11-16 09:31:59	ga_ls8c_ard_3-0-0_093067_2018-11-16_final
2018-12-02 09:31:58	ga_ls8c_ard_3-0-0_093067_2018-12-02_final
2018-12-04 09:21:35	ga_ls8c_ard_3-0-0_091072_2018-12-03_final
2018-12-04 09:21:59	ga_ls8c_ard_3-0-0_091073_2018-12-03_final
2018-12-04 09:22:23	ga_ls8c_ard_3-0-0_091074_2018-12-03_final
2018-12-04 09:22:47	ga_ls8c_ard_3-0-0_091075_2018-12-03_final
2018-12-04 09:23:11	ga_ls8c_ard_3-0-0_091076_2018-12-03_final
2018-12-18 09:31:55	ga_ls8c_ard_3-0-0_093067_2018-12-18_final
2018-12-20 09:21:33	ga_ls8c_ard_3-0-0_091072_2018-12-19_final
2018-12-20 09:21:57	ga_ls8c_ard_3-0-0_091073_2018-12-19_final
2018-12-20 09:22:21	ga_ls8c_ard_3-0-0_091074_2018-12-19_final
2018-12-20 09:22:45	ga_ls8c_ard_3-0-0_091075_2018-12-19_final
2018-12-20 09:23:09	ga_ls8c_ard_3-0-0_091076_2018-12-19_final
2019-01-03 09:31:55	ga_ls8c_ard_3-0-0_093067_2019-01-03_final
2019-01-19 09:31:52	ga_ls8c_ard_3-0-0_093067_2019-01-19_final
2019-01-30 09:16:28	ga_ls8c_ard_3-0-0_090075_2019-01-29_final
2019-01-30 09:16:52	ga_ls8c_ard_3-0-0_090076_2019-01-29_final
2019-01-30 09:17:16	ga_ls8c_ard_3-0-0_090077_2019-01-29_final
2019-01-30 09:17:40	ga_ls8c_ard_3-0-0_090078_2019-01-29_final
2019-01-30 09:18:04	ga_ls8c_ard_3-0-0_090079_2019-01-29_final
2019-01-30 09:18:28	ga_ls8c_ard_3-0-0_090080_2019-01-29_final
2019-01-30 09:18:52	ga_ls8c_ard_3-0-0_090081_2019-01-29_final
2019-02-01 09:07:18	ga_ls8c_ard_3-0-0_088083_2019-01-31_final
2019-02-01 09:07:42	ga_ls8c_ard_3-0-0_088084_2019-01-31_final
2019-02-04 09:31:49	ga_ls8c_ard_3-0-0_093067_2019-02-04_final
2019-05-29 09:21:23	ga_ls8c_ard_3-0-0_091072_2019-05-28_final
2019-05-29 09:21:47	ga_ls8c_ard_3-0-0_091073_2019-05-28_final
2019-05-29 09:22:11	ga_ls8c_ard_3-0-0_091074_2019-05-28_final
2019-05-29 09:22:35	ga_ls8c_ard_3-0-0_091075_2019-05-28_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