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
2013-03-26 09:33:19	ga_ls8c_ard_3-0-0_093067_2013-03-26_final
2013-03-26 09:33:43	ga_ls8c_ard_3-0-0_093068_2013-03-26_final
2013-03-28 09:16:17	ga_ls8c_ard_3-1-0_090078_2013-03-27_final
2013-03-28 09:16:41	ga_ls8c_ard_3-0-0_090079_2013-03-27_final
2013-03-28 09:17:04	ga_ls8c_ard_3-0-0_090080_2013-03-27_final
2013-03-28 09:17:28	ga_ls8c_ard_3-0-0_090081_2013-03-27_final
2013-03-28 09:17:52	ga_ls8c_ard_3-0-0_090082_2013-03-27_final
2013-03-28 09:18:16	ga_ls8c_ard_3-0-0_090083_2013-03-27_final
2013-05-03 09:27:40	ga_ls8c_ard_3-0-0_092067_2013-05-02_final
2013-05-03 09:29:40	ga_ls8c_ard_3-0-0_092072_2013-05-02_final
2013-05-03 09:30:04	ga_ls8c_ard_3-1-0_092073_2013-05-03_final
2013-05-19 09:27:53	ga_ls8c_ard_3-0-0_092067_2013-05-18_final
2013-05-19 09:28:17	ga_ls8c_ard_3-0-0_092068_2013-05-18_final
2013-05-21 09:19:07	ga_ls8c_ard_3-0-0_090076_2013-05-20_final
2013-05-21 09:19:31	ga_ls8c_ard_3-0-0_090077_2013-05-20_final
2013-05-21 09:19:55	ga_ls8c_ard_3-0-0_090078_2013-05-20_final
2013-05-21 09:20:19	ga_ls8c_ard_3-0-0_090079_2013-05-20_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
2013-06-22 09:19:24	ga_ls8c_ard_3-0-0_090077_2013-06-21_final
2013-06-22 09:19:48	ga_ls8c_ard_3-0-0_090078_2013-06-21_final
2013-06-22 09:20:12	ga_ls8c_ard_3-0-0_090079_2013-06-21_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
2013-10-05 09:14:48	ga_ls8c_ard_3-0-0_089081_2013-10-04_final
2013-10-05 09:15:12	ga_ls8c_ard_3-0-0_089082_2013-10-04_final
2013-10-05 09:15:36	ga_ls8c_ard_3-0-0_089083_2013-10-04_final
2013-10-05 09:16:00	ga_ls8c_ard_3-0-0_089084_2013-10-04_final
2013-10-05 09:16:24	ga_ls8c_ard_3-0-0_089085_2013-10-04_final
2013-10-05 09:16:48	ga_ls8c_ard_3-0-0_089086_2013-10-04_final
2013-10-12 09:19:22	ga_ls8c_ard_3-0-0_090077_2013-10-11_final
2013-10-12 09:19:46	ga_ls8c_ard_3-0-0_090078_2013-10-11_final
2013-10-12 09:20:10	ga_ls8c_ard_3-0-0_090079_2013-10-11_final
2013-10-12 09:20:34	ga_ls8c_ard_3-0-0_090080_2013-10-11_final
2013-10-21 09:15:07	ga_ls8c_ard_3-0-0_089082_2013-10-20_final
2013-10-21 09:15:31	ga_ls8c_ard_3-0-0_089083_2013-10-20_final
2013-10-21 09:15:55	ga_ls8c_ard_3-0-0_089084_2013-10-20_final
2018-02-17 09:31:51	ga_ls8c_ard_3-0-0_093067_2018-02-17_final
2018-02-17 09:32:15	ga_ls8c_ard_3-0-0_093068_2018-02-17_final
2018-06-04 09:15:53	ga_ls8c_ard_3-0-0_090076_2018-06-03_final
2018-06-04 09:16:17	ga_ls8c_ard_3-0-0_090077_2018-06-03_final
2018-06-04 09:16:41	ga_ls8c_ard_3-0-0_090078_2018-06-03_final
2018-06-04 09:17:04	ga_ls8c_ard_3-0-0_090079_2018-06-03_final
2018-06-04 09:17:28	ga_ls8c_ard_3-0-0_090080_2018-06-03_final
2018-06-04 09:17:52	ga_ls8c_ard_3-0-0_090081_2018-06-03_final
2018-06-04 09:18:16	ga_ls8c_ard_3-0-0_090082_2018-06-03_final
2018-06-06 09:06:42	ga_ls8c_ard_3-0-0_088084_2018-06-05_final
2018-06-09 09:30:52	ga_ls8c_ard_3-0-0_093067_2018-06-09_final
2018-06-09 09:31:16	ga_ls8c_ard_3-0-0_093068_2018-06-09_final
2018-08-12 09:31:27	ga_ls8c_ard_3-0-0_093067_2018-08-12_final
2018-08-12 09:31:51	ga_ls8c_ard_3-0-0_093068_2018-08-12_final
2018-09-13 09:31:40	ga_ls8c_ard_3-0-0_093067_2018-09-13_final
2018-09-13 09:32:04	ga_ls8c_ard_3-0-0_093068_2018-09-13_final
2018-09-24 09:16:46	ga_ls8c_ard_3-0-0_090076_2018-09-23_final
2018-09-24 09:17:10	ga_ls8c_ard_3-0-0_090077_2018-09-23_final
2018-09-24 09:17:34	ga_ls8c_ard_3-0-0_090078_2018-09-23_final
2018-09-24 09:17:58	ga_ls8c_ard_3-0-0_090079_2018-09-23_final
2018-09-24 09:18:22	ga_ls8c_ard_3-0-0_090080_2018-09-23_final
2018-09-24 09:18:46	ga_ls8c_ard_3-0-0_090081_2018-09-23_final
2018-09-24 09:19:10	ga_ls8c_ard_3-0-0_090082_2018-09-23_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
2018-10-01 09:23:25	ga_ls8c_ard_3-0-0_091077_2018-09-30_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
2018-10-24 09:25:45	ga_ls8c_ard_3-0-0_092067_2018-10-23_final
2018-10-24 09:26:09	ga_ls8c_ard_3-0-0_092068_2018-10-23_final
2018-10-24 09:27:21	ga_ls8c_ard_3-0-0_092071_2018-10-23_final
2018-10-24 09:27:45	ga_ls8c_ard_3-0-0_092072_2018-10-23_final
2018-10-24 09:28:09	ga_ls8c_ard_3-0-0_092073_2018-10-23_final
2018-10-26 09:16:59	ga_ls8c_ard_3-0-0_090076_2018-10-25_final
2018-10-26 09:17:23	ga_ls8c_ard_3-0-0_090077_2018-10-25_final
2018-10-26 09:17:47	ga_ls8c_ard_3-0-0_090078_2018-10-25_final
2018-10-26 09:18:11	ga_ls8c_ard_3-0-0_090079_2018-10-25_final
2018-10-26 09:18:35	ga_ls8c_ard_3-0-0_090080_2018-10-25_final
2018-10-26 09:18:59	ga_ls8c_ard_3-0-0_090081_2018-10-25_final
2018-10-26 09:19:23	ga_ls8c_ard_3-0-0_090082_2018-10-25_final
2018-11-13 09:07:52	ga_ls8c_ard_3-0-0_088084_2018-11-12_final
2018-11-16 09:31:59	ga_ls8c_ard_3-0-0_093067_2018-11-16_final
2018-11-16 09:32:23	ga_ls8c_ard_3-0-0_093068_2018-11-16_final
2020-01-22 09:32:12	ga_ls8c_ard_3-1-0_093067_2020-01-22_final
2020-01-22 09:32:36	ga_ls8c_ard_3-1-0_093068_2020-01-22_final
2020-01-31 09:25:58	ga_ls8c_ard_3-1-0_092067_2020-01-30_final
2020-01-31 09:26:22	ga_ls8c_ard_3-1-0_092068_2020-01-30_final
2020-01-31 09:27:33	ga_ls8c_ard_3-1-0_092071_2020-01-30_final
2020-01-31 09:27:57	ga_ls8c_ard_3-1-0_092072_2020-01-30_final
2020-01-31 09:28:21	ga_ls8c_ard_3-1-0_092073_2020-01-30_final
2020-02-20 09:07:57	ga_ls8c_ard_3-1-0_088084_2020-02-19_final
2020-03-23 09:07:43	ga_ls8c_ard_3-1-0_088084_2020-03-22_final
2020-04-29 09:21:10	ga_ls8c_ard_3-1-0_091072_2020-04-28_final
2020-04-29 09:21:34	ga_ls8c_ard_3-1-0_091073_2020-04-28_final
2020-04-29 09:21:58	ga_ls8c_ard_3-1-0_091074_2020-04-28_final
2020-04-29 09:22:22	ga_ls8c_ard_3-1-0_091075_2020-04-28_final
2020-04-29 09:22:46	ga_ls8c_ard_3-1-0_091076_2020-04-28_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years