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
2016-01-11 09:32:07	ga_ls8c_ard_3-0-0_093067_2016-01-11_final
2016-01-11 09:32:31	ga_ls8c_ard_3-0-0_093068_2016-01-11_final
2016-01-11 09:33:43	ga_ls8c_ard_3-0-0_093071_2016-01-11_final
2016-01-11 09:34:07	ga_ls8c_ard_3-0-0_093072_2016-01-11_final
2016-01-27 09:32:07	ga_ls8c_ard_3-0-0_093067_2016-01-27_final
2016-01-27 09:32:31	ga_ls8c_ard_3-0-0_093068_2016-01-27_final
2016-01-27 09:33:43	ga_ls8c_ard_3-0-0_093071_2016-01-27_final
2016-01-27 09:34:07	ga_ls8c_ard_3-0-0_093072_2016-01-27_final
2016-02-12 09:32:01	ga_ls8c_ard_3-0-0_093067_2016-02-12_final
2016-02-12 09:32:25	ga_ls8c_ard_3-0-0_093068_2016-02-12_final
2016-02-12 09:33:37	ga_ls8c_ard_3-0-0_093071_2016-02-12_final
2016-02-12 09:34:01	ga_ls8c_ard_3-0-0_093072_2016-02-12_final
2016-02-19 09:38:07	ga_ls8c_ard_3-0-0_094067_2016-02-19_final
2016-02-28 09:31:57	ga_ls8c_ard_3-0-0_093067_2016-02-28_final
2016-02-28 09:32:21	ga_ls8c_ard_3-0-0_093068_2016-02-28_final
2016-02-28 09:33:32	ga_ls8c_ard_3-0-0_093071_2016-02-28_final
2016-02-28 09:33:56	ga_ls8c_ard_3-0-0_093072_2016-02-28_final
2016-03-15 09:31:53	ga_ls8c_ard_3-0-0_093067_2016-03-15_final
2016-03-15 09:32:17	ga_ls8c_ard_3-0-0_093068_2016-03-15_final
2016-03-15 09:33:29	ga_ls8c_ard_3-0-0_093071_2016-03-15_final
2016-03-15 09:33:52	ga_ls8c_ard_3-0-0_093072_2016-03-15_final
2016-03-31 09:31:42	ga_ls8c_ard_3-0-0_093067_2016-03-31_final
2016-03-31 09:32:06	ga_ls8c_ard_3-0-0_093068_2016-03-31_final
2016-03-31 09:33:18	ga_ls8c_ard_3-0-0_093071_2016-03-31_final
2016-03-31 09:33:42	ga_ls8c_ard_3-0-0_093072_2016-03-31_final
2016-04-16 09:31:38	ga_ls8c_ard_3-0-0_093067_2016-04-16_final
2016-04-16 09:32:02	ga_ls8c_ard_3-0-0_093068_2016-04-16_final
2016-04-16 09:33:13	ga_ls8c_ard_3-0-0_093071_2016-04-16_final
2016-04-16 09:33:37	ga_ls8c_ard_3-0-0_093072_2016-04-16_final
2021-04-05 09:37:59	ga_ls8c_ard_3-2-0_094067_2021-04-05_final
2021-04-07 09:27:12	ga_ls8c_ard_3-2-0_092071_2021-04-06_final
2021-04-07 09:27:36	ga_ls8c_ard_3-2-0_092072_2021-04-06_final
2021-04-07 09:28:00	ga_ls8c_ard_3-2-0_092073_2021-04-06_final
2021-04-07 09:28:24	ga_ls8c_ard_3-2-0_092074_2021-04-06_final
2021-04-07 09:28:48	ga_ls8c_ard_3-2-0_092075_2021-04-06_final
2021-04-07 09:29:12	ga_ls8c_ard_3-2-0_092076_2021-04-06_final
2021-04-09 09:18:26	ga_ls8c_ard_3-2-0_090080_2021-04-08_final
2021-04-09 09:18:50	ga_ls8c_ard_3-2-0_090081_2021-04-08_final
2021-04-09 09:19:13	ga_ls8c_ard_3-2-0_090082_2021-04-08_final
2021-04-09 09:19:37	ga_ls8c_ard_3-2-0_090083_2021-04-08_final
2021-04-09 09:20:01	ga_ls8c_ard_3-2-0_090084_2021-04-08_final
2021-04-09 09:20:25	ga_ls8c_ard_3-2-0_090085_2021-04-08_final
2021-04-14 09:31:45	ga_ls8c_ard_3-2-0_093067_2021-04-14_final
2021-04-14 09:32:09	ga_ls8c_ard_3-2-0_093068_2021-04-14_final
2021-04-14 09:33:21	ga_ls8c_ard_3-2-0_093071_2021-04-14_final
2021-04-14 09:33:44	ga_ls8c_ard_3-2-0_093072_2021-04-14_final
2021-04-16 09:22:34	ga_ls8c_ard_3-2-0_091075_2021-04-15_final
2021-04-16 09:22:58	ga_ls8c_ard_3-2-0_091076_2021-04-15_final
2021-04-16 09:23:22	ga_ls8c_ard_3-2-0_091077_2021-04-15_final
2021-04-16 09:23:46	ga_ls8c_ard_3-2-0_091078_2021-04-15_final
2021-04-16 09:24:10	ga_ls8c_ard_3-2-0_091079_2021-04-15_final
2021-04-16 09:24:34	ga_ls8c_ard_3-2-0_091080_2021-04-15_final
2021-04-16 09:24:57	ga_ls8c_ard_3-2-0_091081_2021-04-15_final
2021-04-18 09:13:23	ga_ls8c_ard_3-2-0_089083_2021-04-17_final
2021-04-18 09:13:47	ga_ls8c_ard_3-2-0_089084_2021-04-17_final
2021-04-18 09:14:11	ga_ls8c_ard_3-2-0_089085_2021-04-17_final
2021-04-18 09:14:35	ga_ls8c_ard_3-2-0_089086_2021-04-17_final
2021-04-18 09:14:59	ga_ls8c_ard_3-2-0_089087_2021-04-17_final
2021-04-18 09:15:23	ga_ls8c_ard_3-2-0_089088_2021-04-17_final
2021-04-18 09:15:47	ga_ls8c_ard_3-2-0_089089_2021-04-17_final
2021-04-21 09:37:52	ga_ls8c_ard_3-2-0_094067_2021-04-21_final
2021-04-23 09:27:05	ga_ls8c_ard_3-2-0_092071_2021-04-22_final
2021-04-23 09:27:29	ga_ls8c_ard_3-2-0_092072_2021-04-22_final
2021-04-23 09:27:53	ga_ls8c_ard_3-2-0_092073_2021-04-22_final
2021-04-23 09:28:17	ga_ls8c_ard_3-2-0_092074_2021-04-22_final
2021-04-23 09:28:41	ga_ls8c_ard_3-2-0_092075_2021-04-22_final
2021-04-23 09:29:05	ga_ls8c_ard_3-2-0_092076_2021-04-22_final
2021-04-30 09:31:36	ga_ls8c_ard_3-2-0_093067_2021-04-30_final
2021-04-30 09:32:00	ga_ls8c_ard_3-2-0_093068_2021-04-30_final
2021-04-30 09:33:12	ga_ls8c_ard_3-2-0_093071_2021-04-30_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-04 09:13:13	ga_ls8c_ard_3-2-0_089083_2021-05-03_final
2021-05-04 09:13:37	ga_ls8c_ard_3-2-0_089084_2021-05-03_final
2021-05-04 09:14:01	ga_ls8c_ard_3-2-0_089085_2021-05-03_final
2021-05-04 09:14:25	ga_ls8c_ard_3-2-0_089086_2021-05-03_final
2021-05-04 09:14:49	ga_ls8c_ard_3-2-0_089087_2021-05-03_final
2021-05-04 09:15:13	ga_ls8c_ard_3-2-0_089088_2021-05-03_final
2021-05-04 09:15:37	ga_ls8c_ard_3-2-0_089089_2021-05-03_final
2021-05-07 09:37:43	ga_ls8c_ard_3-2-0_094067_2021-05-07_final
2021-05-11 09:18:14	ga_ls8c_ard_3-2-0_090080_2021-05-10_final
2021-05-11 09:18:38	ga_ls8c_ard_3-2-0_090081_2021-05-10_final
2021-05-11 09:19:02	ga_ls8c_ard_3-2-0_090082_2021-05-10_final
2021-05-11 09:19:26	ga_ls8c_ard_3-2-0_090083_2021-05-10_final
2021-05-11 09:19:50	ga_ls8c_ard_3-2-0_090084_2021-05-10_final
2021-05-11 09:20:14	ga_ls8c_ard_3-2-0_090085_2021-05-10_final
2021-05-25 09:27:09	ga_ls8c_ard_3-2-0_092071_2021-05-24_final
2021-05-25 09:27:33	ga_ls8c_ard_3-2-0_092072_2021-05-24_final
2021-05-25 09:27:57	ga_ls8c_ard_3-2-0_092073_2021-05-24_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-05-25 09:28:45	ga_ls8c_ard_3-2-0_092075_2021-05-24_final
2021-05-25 09:29:09	ga_ls8c_ard_3-2-0_092076_2021-05-24_final
2021-05-27 09:18:00	ga_ls8c_ard_3-2-0_090079_2021-05-26_final
2021-05-27 09:18:24	ga_ls8c_ard_3-2-0_090080_2021-05-26_final
2021-05-27 09:18:48	ga_ls8c_ard_3-2-0_090081_2021-05-26_final
2021-05-27 09:19:12	ga_ls8c_ard_3-2-0_090082_2021-05-26_final
2021-05-27 09:19:36	ga_ls8c_ard_3-2-0_090083_2021-05-26_final
2021-05-27 09:20:00	ga_ls8c_ard_3-2-0_090084_2021-05-26_final
2021-05-27 09:20:24	ga_ls8c_ard_3-2-0_090085_2021-05-26_final
2021-06-01 09:31:47	ga_ls8c_ard_3-2-0_093067_2021-06-01_final
2021-06-01 09:32:11	ga_ls8c_ard_3-2-0_093068_2021-06-01_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