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
2018-06-02 09:24:39	ga_ls8c_ard_3-0-0_092067_2018-06-01_final
2018-06-02 09:25:03	ga_ls8c_ard_3-0-0_092068_2018-06-01_final
2018-06-11 09:20:31	ga_ls8c_ard_3-0-0_091072_2018-06-10_final
2018-06-11 09:20:55	ga_ls8c_ard_3-0-0_091073_2018-06-10_final
2018-06-11 09:21:19	ga_ls8c_ard_3-0-0_091074_2018-06-10_final
2018-06-11 09:21:43	ga_ls8c_ard_3-0-0_091075_2018-06-10_final
2018-06-11 09:22:07	ga_ls8c_ard_3-0-0_091076_2018-06-10_final
2018-06-27 09:20:42	ga_ls8c_ard_3-0-0_091072_2018-06-26_final
2018-06-27 09:21:06	ga_ls8c_ard_3-0-0_091073_2018-06-26_final
2018-06-27 09:21:30	ga_ls8c_ard_3-0-0_091074_2018-06-26_final
2018-06-27 09:21:54	ga_ls8c_ard_3-0-0_091075_2018-06-26_final
2018-06-27 09:22:18	ga_ls8c_ard_3-0-0_091076_2018-06-26_final
2018-07-04 09:24:57	ga_ls8c_ard_3-0-0_092067_2018-07-03_final
2018-07-04 09:25:21	ga_ls8c_ard_3-0-0_092068_2018-07-03_final
2018-07-20 09:25:04	ga_ls8c_ard_3-0-0_092067_2018-07-19_final
2018-07-20 09:25:28	ga_ls8c_ard_3-0-0_092068_2018-07-19_final
2018-07-27 09:31:17	ga_ls8c_ard_3-0-0_093067_2018-07-27_final
2018-07-29 09:20:57	ga_ls8c_ard_3-0-0_091072_2018-07-28_final
2018-07-29 09:21:21	ga_ls8c_ard_3-0-0_091073_2018-07-28_final
2018-07-29 09:21:45	ga_ls8c_ard_3-0-0_091074_2018-07-28_final
2018-07-29 09:22:09	ga_ls8c_ard_3-0-0_091075_2018-07-28_final
2018-07-29 09:22:33	ga_ls8c_ard_3-0-0_091076_2018-07-28_final
2018-08-05 09:25:12	ga_ls8c_ard_3-0-0_092067_2018-08-04_final
2018-08-05 09:25:36	ga_ls8c_ard_3-0-0_092068_2018-08-04_final
2018-09-06 09:25:27	ga_ls8c_ard_3-0-0_092067_2018-09-05_final
2018-09-06 09:25:51	ga_ls8c_ard_3-0-0_092068_2018-09-05_final
2018-10-03 09:11:52	ga_ls8c_ard_3-0-0_089079_2018-10-02_final
2018-10-03 09:12:16	ga_ls8c_ard_3-0-0_089080_2018-10-02_final
2018-10-03 09:12:40	ga_ls8c_ard_3-0-0_089081_2018-10-02_final
2018-10-03 09:13:04	ga_ls8c_ard_3-0-0_089082_2018-10-02_final
2018-10-03 09:13:28	ga_ls8c_ard_3-0-0_089083_2018-10-02_final
2018-10-03 09:13:52	ga_ls8c_ard_3-0-0_089084_2018-10-02_final
2018-10-03 09:14:16	ga_ls8c_ard_3-0-0_089085_2018-10-02_final
2018-10-19 09:11:59	ga_ls8c_ard_3-0-0_089079_2018-10-18_final
2018-10-19 09:12:22	ga_ls8c_ard_3-0-0_089080_2018-10-18_final
2018-10-19 09:12:46	ga_ls8c_ard_3-0-0_089081_2018-10-18_final
2018-10-19 09:13:10	ga_ls8c_ard_3-0-0_089082_2018-10-18_final
2018-10-19 09:13:34	ga_ls8c_ard_3-0-0_089083_2018-10-18_final
2018-10-19 09:13:58	ga_ls8c_ard_3-0-0_089084_2018-10-18_final
2018-10-19 09:14:22	ga_ls8c_ard_3-0-0_089085_2018-10-18_final
2019-11-05 09:22:04	ga_ls8c_ard_3-1-0_091072_2019-11-04_final
2019-11-05 09:22:28	ga_ls8c_ard_3-1-0_091073_2019-11-04_final
2019-11-05 09:22:52	ga_ls8c_ard_3-1-0_091074_2019-11-04_final
2019-11-05 09:23:16	ga_ls8c_ard_3-1-0_091075_2019-11-04_final
2019-11-05 09:23:40	ga_ls8c_ard_3-1-0_091076_2019-11-04_final
2019-11-21 09:22:00	ga_ls8c_ard_3-1-0_091072_2019-11-20_final
2019-11-21 09:22:24	ga_ls8c_ard_3-1-0_091073_2019-11-20_final
2019-11-21 09:22:48	ga_ls8c_ard_3-1-0_091074_2019-11-20_final
2019-11-21 09:23:12	ga_ls8c_ard_3-1-0_091075_2019-11-20_final
2019-11-21 09:23:36	ga_ls8c_ard_3-1-0_091076_2019-11-20_final
2019-12-07 09:22:00	ga_ls8c_ard_3-1-0_091072_2019-12-06_final
2019-12-07 09:22:24	ga_ls8c_ard_3-1-0_091073_2019-12-06_final
2019-12-07 09:22:48	ga_ls8c_ard_3-1-0_091074_2019-12-06_final
2019-12-07 09:23:12	ga_ls8c_ard_3-1-0_091075_2019-12-06_final
2019-12-07 09:23:35	ga_ls8c_ard_3-1-0_091076_2019-12-06_final
2019-12-09 09:12:49	ga_ls8c_ard_3-1-0_089080_2019-12-08_final
2019-12-09 09:13:13	ga_ls8c_ard_3-1-0_089081_2019-12-08_final
2019-12-09 09:13:37	ga_ls8c_ard_3-1-0_089082_2019-12-08_final
2019-12-09 09:14:01	ga_ls8c_ard_3-1-0_089083_2019-12-08_final
2019-12-09 09:14:25	ga_ls8c_ard_3-1-0_089084_2019-12-08_final
2019-12-09 09:14:49	ga_ls8c_ard_3-1-0_089085_2019-12-08_final
2020-01-08 09:21:53	ga_ls8c_ard_3-1-0_091072_2020-01-07_final
2020-01-08 09:22:17	ga_ls8c_ard_3-1-0_091073_2020-01-07_final
2020-01-08 09:22:41	ga_ls8c_ard_3-1-0_091074_2020-01-07_final
2020-01-08 09:23:05	ga_ls8c_ard_3-1-0_091075_2020-01-07_final
2020-01-08 09:23:29	ga_ls8c_ard_3-1-0_091076_2020-01-07_final
2020-02-20 09:07:33	ga_ls8c_ard_3-1-0_088083_2020-02-19_final
2020-02-20 09:07:57	ga_ls8c_ard_3-1-0_088084_2020-02-19_final
2020-02-23 09:32:03	ga_ls8c_ard_3-1-0_093067_2020-02-23_final
2020-03-19 09:27:17	ga_ls8c_ard_3-1-0_092071_2020-03-18_final
2020-03-19 09:27:41	ga_ls8c_ard_3-1-0_092072_2020-03-18_final
2020-03-21 09:16:30	ga_ls8c_ard_3-1-0_090075_2020-03-20_final
2020-03-21 09:16:54	ga_ls8c_ard_3-1-0_090076_2020-03-20_final
2020-03-21 09:17:18	ga_ls8c_ard_3-1-0_090077_2020-03-20_final
2020-03-21 09:17:42	ga_ls8c_ard_3-1-0_090078_2020-03-20_final
2020-03-21 09:18:06	ga_ls8c_ard_3-1-0_090079_2020-03-20_final
2020-03-21 09:18:30	ga_ls8c_ard_3-1-0_090080_2020-03-20_final
2020-03-21 09:18:54	ga_ls8c_ard_3-1-0_090081_2020-03-20_final
2020-03-23 09:07:19	ga_ls8c_ard_3-1-0_088083_2020-03-22_final
2020-03-23 09:07:43	ga_ls8c_ard_3-1-0_088084_2020-03-22_final
2020-04-13 09:21:18	ga_ls8c_ard_3-1-0_091072_2020-04-12_final
2020-04-13 09:21:42	ga_ls8c_ard_3-1-0_091073_2020-04-12_final
2020-04-13 09:22:06	ga_ls8c_ard_3-1-0_091074_2020-04-12_final
2020-04-13 09:22:30	ga_ls8c_ard_3-1-0_091075_2020-04-12_final
2020-04-13 09:22:54	ga_ls8c_ard_3-1-0_091076_2020-04-12_final
2020-04-15 09:11:43	ga_ls8c_ard_3-1-0_089079_2020-04-14_final
2020-04-15 09:12:07	ga_ls8c_ard_3-1-0_089080_2020-04-14_final
2020-04-15 09:12:31	ga_ls8c_ard_3-1-0_089081_2020-04-14_final
2020-04-15 09:12:55	ga_ls8c_ard_3-1-0_089082_2020-04-14_final
2020-04-15 09:13:19	ga_ls8c_ard_3-1-0_089083_2020-04-14_final
2020-04-15 09:13:43	ga_ls8c_ard_3-1-0_089084_2020-04-14_final
2020-04-15 09:14:07	ga_ls8c_ard_3-1-0_089085_2020-04-14_final
2020-05-24 09:16:09	ga_ls8c_ard_3-1-0_090075_2020-05-23_final
2020-05-24 09:16:33	ga_ls8c_ard_3-1-0_090076_2020-05-23_final
2020-05-24 09:16:57	ga_ls8c_ard_3-1-0_090077_2020-05-23_final
2020-05-24 09:17:21	ga_ls8c_ard_3-1-0_090078_2020-05-23_final
2020-05-24 09:17:45	ga_ls8c_ard_3-1-0_090079_2020-05-23_final
2020-05-26 09:06:59	ga_ls8c_ard_3-1-0_088083_2020-05-25_final
2020-05-26 09:07:23	ga_ls8c_ard_3-1-0_088084_2020-05-25_final
2020-06-11 09:07:08	ga_ls8c_ard_3-1-0_088083_2020-06-10_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