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
2015-01-26 09:21:38	ga_ls8c_ard_3-0-0_091072_2015-01-25_final
2015-01-26 09:22:02	ga_ls8c_ard_3-0-0_091073_2015-01-25_final
2015-01-26 09:22:26	ga_ls8c_ard_3-0-0_091074_2015-01-25_final
2015-01-26 09:22:50	ga_ls8c_ard_3-0-0_091075_2015-01-25_final
2015-01-26 09:23:14	ga_ls8c_ard_3-0-0_091076_2015-01-25_final
2015-01-28 09:12:04	ga_ls8c_ard_3-0-0_089079_2015-01-27_final
2015-01-28 09:12:28	ga_ls8c_ard_3-0-0_089080_2015-01-27_final
2015-01-28 09:12:52	ga_ls8c_ard_3-0-0_089081_2015-01-27_final
2015-01-28 09:13:16	ga_ls8c_ard_3-0-0_089082_2015-01-27_final
2015-01-28 09:13:40	ga_ls8c_ard_3-0-0_089083_2015-01-27_final
2015-01-28 09:14:04	ga_ls8c_ard_3-0-0_089084_2015-01-27_final
2015-01-28 09:14:28	ga_ls8c_ard_3-0-0_089085_2015-01-27_final
2015-04-07 09:25:15	ga_ls8c_ard_3-0-0_092067_2015-04-06_final
2015-04-07 09:25:39	ga_ls8c_ard_3-0-0_092068_2015-04-06_final
2015-04-07 09:26:50	ga_ls8c_ard_3-0-0_092071_2015-04-06_final
2015-04-09 09:16:04	ga_ls8c_ard_3-0-0_090075_2015-04-08_final
2015-04-09 09:16:28	ga_ls8c_ard_3-0-0_090076_2015-04-08_final
2015-04-09 09:16:52	ga_ls8c_ard_3-0-0_090077_2015-04-08_final
2015-04-09 09:17:16	ga_ls8c_ard_3-0-0_090078_2015-04-08_final
2015-04-09 09:17:40	ga_ls8c_ard_3-0-0_090079_2015-04-08_final
2015-04-09 09:18:04	ga_ls8c_ard_3-1-0_090080_2015-04-08_final
2015-04-09 09:18:28	ga_ls8c_ard_3-0-0_090081_2015-04-08_final
2015-06-26 09:25:11	ga_ls8c_ard_3-0-0_092067_2015-06-25_final
2015-06-26 09:25:35	ga_ls8c_ard_3-0-0_092068_2015-06-25_final
2015-06-26 09:26:47	ga_ls8c_ard_3-0-0_092071_2015-06-25_final
2015-08-29 09:25:40	ga_ls8c_ard_3-0-0_092067_2015-08-28_final
2015-08-29 09:26:04	ga_ls8c_ard_3-0-0_092068_2015-08-28_final
2015-08-29 09:27:16	ga_ls8c_ard_3-0-0_092071_2015-08-28_final
2015-09-09 09:11:59	ga_ls8c_ard_3-0-0_089079_2015-09-08_final
2015-09-09 09:12:23	ga_ls8c_ard_3-0-0_089080_2015-09-08_final
2015-09-09 09:12:47	ga_ls8c_ard_3-0-0_089081_2015-09-08_final
2015-09-09 09:13:11	ga_ls8c_ard_3-0-0_089082_2015-09-08_final
2015-09-09 09:13:35	ga_ls8c_ard_3-0-0_089083_2015-09-08_final
2015-09-09 09:13:59	ga_ls8c_ard_3-0-0_089084_2015-09-08_final
2015-09-09 09:14:23	ga_ls8c_ard_3-0-0_089085_2015-09-08_final
2015-09-14 09:27:23	ga_ls8c_ard_3-0-0_092071_2015-09-13_final
2015-09-16 09:16:38	ga_ls8c_ard_3-0-0_090075_2015-09-15_final
2015-09-16 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-09-15_final
2015-09-16 09:17:26	ga_ls8c_ard_3-0-0_090077_2015-09-15_final
2015-09-16 09:17:50	ga_ls8c_ard_3-0-0_090078_2015-09-15_final
2015-09-16 09:18:14	ga_ls8c_ard_3-0-0_090079_2015-09-15_final
2015-09-16 09:18:38	ga_ls8c_ard_3-0-0_090080_2015-09-15_final
2015-09-16 09:19:02	ga_ls8c_ard_3-0-0_090081_2015-09-15_final
2015-09-18 09:07:29	ga_ls8c_ard_3-0-0_088083_2015-09-17_final
2015-09-18 09:07:53	ga_ls8c_ard_3-0-0_088084_2015-09-17_final
2015-11-21 09:07:41	ga_ls8c_ard_3-0-0_088083_2015-11-20_final
2015-11-21 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-11-20_final
2015-12-19 09:26:00	ga_ls8c_ard_3-0-0_092067_2015-12-18_final
2015-12-19 09:26:24	ga_ls8c_ard_3-0-0_092068_2015-12-18_final
2015-12-19 09:27:36	ga_ls8c_ard_3-0-0_092071_2015-12-18_final
2015-12-21 09:16:50	ga_ls8c_ard_3-0-0_090075_2015-12-20_final
2015-12-21 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-12-20_final
2015-12-21 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-20_final
2015-12-21 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-12-20_final
2015-12-21 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-12-20_final
2015-12-21 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-12-20_final
2015-12-21 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-12-20_final
2015-12-23 09:07:40	ga_ls8c_ard_3-0-0_088083_2015-12-22_final
2015-12-23 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-22_final
2019-03-01 09:25:33	ga_ls8c_ard_3-0-0_092067_2019-02-28_final
2019-03-01 09:25:57	ga_ls8c_ard_3-0-0_092068_2019-02-28_final
2019-04-18 09:25:19	ga_ls8c_ard_3-1-0_092067_2019-04-17_final
2019-04-18 09:25:43	ga_ls8c_ard_3-1-0_092068_2019-04-17_final
2022-02-09 09:07:39	ga_ls8c_ard_3-2-1_088083_2022-02-08_final
2022-02-14 09:21:46	ga_ls8c_ard_3-2-1_091072_2022-02-13_final
2022-02-14 09:22:10	ga_ls8c_ard_3-2-1_091073_2022-02-13_final
2022-02-14 09:22:34	ga_ls8c_ard_3-2-1_091074_2022-02-13_final
2022-02-14 09:22:58	ga_ls8c_ard_3-2-1_091075_2022-02-13_final
2022-02-14 09:23:22	ga_ls8c_ard_3-2-1_091076_2022-02-13_final
2022-02-16 09:12:11	ga_ls8c_ard_3-2-1_089079_2022-02-15_final
2022-02-16 09:12:35	ga_ls8c_ard_3-2-1_089080_2022-02-15_final
2022-02-16 09:12:59	ga_ls8c_ard_3-2-1_089081_2022-02-15_final
2022-02-16 09:13:23	ga_ls8c_ard_3-2-1_089082_2022-02-15_final
2022-02-16 09:13:47	ga_ls8c_ard_3-2-1_089083_2022-02-15_final
2022-02-16 09:14:11	ga_ls8c_ard_3-2-1_089084_2022-02-15_final
2022-02-16 09:14:35	ga_ls8c_ard_3-2-1_089085_2022-02-15_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-05-14 09:17:25	ga_ls8c_ard_3-2-1_090077_2022-05-13_final
2022-05-14 09:17:49	ga_ls8c_ard_3-2-1_090078_2022-05-13_final
2022-05-14 09:18:13	ga_ls8c_ard_3-2-1_090079_2022-05-13_final
2022-05-14 09:18:37	ga_ls8c_ard_3-2-1_090080_2022-05-13_final
2022-05-14 09:19:01	ga_ls8c_ard_3-2-1_090081_2022-05-13_final
2022-08-09 09:22:10	ga_ls8c_ard_3-2-1_091072_2022-08-08_final
2022-08-09 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-08-08_final
2022-08-09 09:22:58	ga_ls8c_ard_3-2-1_091074_2022-08-08_final
2022-08-09 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-08-08_final
2022-08-09 09:23:46	ga_ls8c_ard_3-2-1_091076_2022-08-08_final
2022-08-11 09:12:37	ga_ls8c_ard_3-2-1_089079_2022-08-10_final
2022-08-11 09:13:01	ga_ls8c_ard_3-2-1_089080_2022-08-10_final
2022-08-11 09:13:25	ga_ls8c_ard_3-2-1_089081_2022-08-10_final
2022-08-11 09:13:49	ga_ls8c_ard_3-2-1_089082_2022-08-10_final
2022-08-11 09:14:13	ga_ls8c_ard_3-2-1_089083_2022-08-10_final
2022-08-11 09:14:37	ga_ls8c_ard_3-2-1_089084_2022-08-10_final
2022-08-11 09:15:01	ga_ls8c_ard_3-2-1_089085_2022-08-10_final
2022-08-16 09:27:59	ga_ls8c_ard_3-2-1_092071_2022-08-15_final
2022-12-31 09:22:06	ga_ls8c_ard_3-2-1_091072_2022-12-30_final
2022-12-31 09:22:30	ga_ls8c_ard_3-2-1_091073_2022-12-30_final
2022-12-31 09:22:54	ga_ls8c_ard_3-2-1_091074_2022-12-30_final
2022-12-31 09:23:18	ga_ls8c_ard_3-2-1_091075_2022-12-30_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