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
2024-03-14 09:28:30	ga_ls8c_ard_3-2-1_092074_2024-03-13_final
2024-03-16 09:16:07	ga_ls8c_ard_3-2-1_090074_2024-03-15_final
2024-03-16 09:16:31	ga_ls8c_ard_3-2-1_090075_2024-03-15_final
2024-03-16 09:17:19	ga_ls8c_ard_3-2-1_090077_2024-03-15_final
2024-03-16 09:18:07	ga_ls8c_ard_3-2-1_090079_2024-03-15_final
2024-03-16 09:18:31	ga_ls8c_ard_3-2-1_090080_2024-03-15_final
2024-03-16 09:18:55	ga_ls8c_ard_3-2-1_090081_2024-03-15_final
2024-03-16 09:19:19	ga_ls8c_ard_3-2-1_090082_2024-03-15_final
2024-03-16 09:19:42	ga_ls8c_ard_3-2-1_090083_2024-03-15_final
2024-03-18 09:06:32	ga_ls8c_ard_3-2-1_088081_2024-03-17_final
2024-03-18 09:06:56	ga_ls8c_ard_3-2-1_088082_2024-03-17_final
2024-03-18 09:07:20	ga_ls8c_ard_3-2-1_088083_2024-03-17_final
2024-03-23 09:22:36	ga_ls8c_ard_3-2-1_091075_2024-03-22_final
2024-03-23 09:23:23	ga_ls8c_ard_3-2-1_091077_2024-03-22_final
2024-03-23 09:23:47	ga_ls8c_ard_3-2-1_091078_2024-03-22_final
2024-03-23 09:24:11	ga_ls8c_ard_3-2-1_091079_2024-03-22_final
2024-03-25 09:09:47	ga_ls8c_ard_3-2-1_089074_2024-03-24_final
2024-03-25 09:10:11	ga_ls8c_ard_3-2-1_089075_2024-03-24_final
2024-03-25 09:10:35	ga_ls8c_ard_3-2-1_089076_2024-03-24_final
2024-03-25 09:11:23	ga_ls8c_ard_3-2-1_089078_2024-03-24_final
2024-03-25 09:11:47	ga_ls8c_ard_3-2-1_089079_2024-03-24_final
2024-03-25 09:12:11	ga_ls8c_ard_3-2-1_089080_2024-03-24_final
2024-03-25 09:12:35	ga_ls8c_ard_3-2-1_089081_2024-03-24_final
2024-03-25 09:12:59	ga_ls8c_ard_3-2-1_089082_2024-03-24_final
2024-03-25 09:13:23	ga_ls8c_ard_3-2-1_089083_2024-03-24_final
2024-03-25 09:13:46	ga_ls8c_ard_3-2-1_089084_2024-03-24_final
2024-04-01 09:15:55	ga_ls8c_ard_3-2-1_090074_2024-03-31_final
2024-04-01 09:16:19	ga_ls8c_ard_3-2-1_090075_2024-03-31_final
2024-04-01 09:16:42	ga_ls8c_ard_3-2-1_090076_2024-03-31_final
2024-04-01 09:17:54	ga_ls8c_ard_3-2-1_090079_2024-03-31_final
2024-04-01 09:18:18	ga_ls8c_ard_3-2-1_090080_2024-03-31_final
2024-04-01 09:19:30	ga_ls8c_ard_3-2-1_090083_2024-03-31_final
2024-04-03 09:06:45	ga_ls8c_ard_3-2-1_088082_2024-04-02_final
2024-04-03 09:07:09	ga_ls8c_ard_3-2-1_088083_2024-04-02_final
2024-04-08 09:21:17	ga_ls8c_ard_3-2-1_091072_2024-04-07_final
2024-04-08 09:21:41	ga_ls8c_ard_3-2-1_091073_2024-04-07_final
2024-04-08 09:22:05	ga_ls8c_ard_3-2-1_091074_2024-04-07_final
2024-04-08 09:22:29	ga_ls8c_ard_3-2-1_091075_2024-04-07_final
2024-04-08 09:22:53	ga_ls8c_ard_3-2-1_091076_2024-04-07_final
2024-04-08 09:23:17	ga_ls8c_ard_3-2-1_091077_2024-04-07_final
2024-04-08 09:23:41	ga_ls8c_ard_3-2-1_091078_2024-04-07_final
2024-04-08 09:24:05	ga_ls8c_ard_3-2-1_091079_2024-04-07_final
2024-04-10 09:09:42	ga_ls8c_ard_3-2-1_089074_2024-04-09_final
2024-04-10 09:10:06	ga_ls8c_ard_3-2-1_089075_2024-04-09_final
2024-04-10 09:10:30	ga_ls8c_ard_3-2-1_089076_2024-04-09_final
2024-04-10 09:10:54	ga_ls8c_ard_3-2-1_089077_2024-04-09_final
2024-04-10 09:11:18	ga_ls8c_ard_3-2-1_089078_2024-04-09_final
2024-04-10 09:11:42	ga_ls8c_ard_3-2-1_089079_2024-04-09_final
2024-04-10 09:12:06	ga_ls8c_ard_3-2-1_089080_2024-04-09_final
2024-04-10 09:12:30	ga_ls8c_ard_3-2-1_089081_2024-04-09_final
2024-04-10 09:12:54	ga_ls8c_ard_3-2-1_089082_2024-04-09_final
2024-04-10 09:13:18	ga_ls8c_ard_3-2-1_089083_2024-04-09_final
2024-04-10 09:13:42	ga_ls8c_ard_3-2-1_089084_2024-04-09_final
2024-04-10 09:14:06	ga_ls8c_ard_3-2-1_089085_2024-04-09_final
2024-04-10 09:14:30	ga_ls8c_ard_3-2-1_089086_2024-04-09_final
2024-04-15 09:27:00	ga_ls8c_ard_3-2-1_092071_2024-04-14_final
2024-04-15 09:27:24	ga_ls8c_ard_3-2-1_092072_2024-04-14_final
2024-04-15 09:27:48	ga_ls8c_ard_3-2-1_092073_2024-04-14_final
2024-04-15 09:28:12	ga_ls8c_ard_3-2-1_092074_2024-04-14_final
2024-04-15 09:28:36	ga_ls8c_ard_3-2-1_092075_2024-04-14_final
2024-04-17 09:15:48	ga_ls8c_ard_3-2-1_090074_2024-04-16_final
2024-04-17 09:16:12	ga_ls8c_ard_3-2-1_090075_2024-04-16_final
2024-04-17 09:16:36	ga_ls8c_ard_3-2-1_090076_2024-04-16_final
2024-04-17 09:17:00	ga_ls8c_ard_3-2-1_090077_2024-04-16_final
2024-04-17 09:17:24	ga_ls8c_ard_3-2-1_090078_2024-04-16_final
2024-04-17 09:17:48	ga_ls8c_ard_3-2-1_090079_2024-04-16_final
2024-04-17 09:18:12	ga_ls8c_ard_3-2-1_090080_2024-04-16_final
2024-04-17 09:18:36	ga_ls8c_ard_3-2-1_090081_2024-04-16_final
2024-04-17 09:19:00	ga_ls8c_ard_3-2-1_090082_2024-04-16_final
2024-04-17 09:19:24	ga_ls8c_ard_3-2-1_090083_2024-04-16_final
2024-04-19 09:05:48	ga_ls8c_ard_3-2-1_088080_2024-04-18_final
2024-04-19 09:06:12	ga_ls8c_ard_3-2-1_088081_2024-04-18_final
2024-04-19 09:06:36	ga_ls8c_ard_3-2-1_088082_2024-04-18_final
2024-04-19 09:07:00	ga_ls8c_ard_3-2-1_088083_2024-04-18_final
2024-04-24 09:21:08	ga_ls8c_ard_3-2-1_091072_2024-04-23_final
2024-04-24 09:21:32	ga_ls8c_ard_3-2-1_091073_2024-04-23_final
2024-04-24 09:21:56	ga_ls8c_ard_3-2-1_091074_2024-04-23_final
2024-04-24 09:22:20	ga_ls8c_ard_3-2-1_091075_2024-04-23_final
2024-04-24 09:22:44	ga_ls8c_ard_3-2-1_091076_2024-04-23_final
2024-04-24 09:23:08	ga_ls8c_ard_3-2-1_091077_2024-04-23_final
2024-04-24 09:23:32	ga_ls8c_ard_3-2-1_091078_2024-04-23_final
2024-04-24 09:23:56	ga_ls8c_ard_3-2-1_091079_2024-04-23_final
2024-05-01 09:26:49	ga_ls8c_ard_3-2-1_092071_2024-04-30_final
2024-05-01 09:27:12	ga_ls8c_ard_3-2-1_092072_2024-04-30_final
2024-05-01 09:27:36	ga_ls8c_ard_3-2-1_092073_2024-04-30_final
2024-05-01 09:28:00	ga_ls8c_ard_3-2-1_092074_2024-04-30_final
2024-05-01 09:28:24	ga_ls8c_ard_3-2-1_092075_2024-04-30_final
2024-05-03 09:15:38	ga_ls8c_ard_3-2-1_090074_2024-05-02_final
2024-05-03 09:16:01	ga_ls8c_ard_3-2-1_090075_2024-05-02_final
2024-05-03 09:16:25	ga_ls8c_ard_3-2-1_090076_2024-05-02_final
2024-05-03 09:16:49	ga_ls8c_ard_3-2-1_090077_2024-05-02_final
2024-05-03 09:17:13	ga_ls8c_ard_3-2-1_090078_2024-05-02_final
2024-05-03 09:17:37	ga_ls8c_ard_3-2-1_090079_2024-05-02_final
2024-05-03 09:18:01	ga_ls8c_ard_3-2-1_090080_2024-05-02_final
2024-05-03 09:18:25	ga_ls8c_ard_3-2-1_090081_2024-05-02_final
2024-05-03 09:18:49	ga_ls8c_ard_3-2-1_090082_2024-05-02_final
2024-05-03 09:19:13	ga_ls8c_ard_3-2-1_090083_2024-05-02_final
2024-05-05 09:05:39	ga_ls8c_ard_3-2-1_088080_2024-05-04_final
2024-05-05 09:06:03	ga_ls8c_ard_3-2-1_088081_2024-05-04_final
2024-05-05 09:06:27	ga_ls8c_ard_3-2-1_088082_2024-05-04_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