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
2021-03-24 09:18:30	ga_ls8c_ard_3-2-0_090080_2021-03-23_final
2021-03-24 09:18:54	ga_ls8c_ard_3-2-0_090081_2021-03-23_final
2021-03-24 09:19:18	ga_ls8c_ard_3-2-0_090082_2021-03-23_final
2021-03-24 09:19:42	ga_ls8c_ard_3-2-0_090083_2021-03-23_final
2021-03-24 09:20:06	ga_ls8c_ard_3-2-0_090084_2021-03-23_final
2021-03-24 09:20:30	ga_ls8c_ard_3-2-0_090085_2021-03-23_final
2021-03-29 09:31:50	ga_ls8c_ard_3-2-0_093067_2021-03-29_final
2021-03-29 09:32:14	ga_ls8c_ard_3-2-0_093068_2021-03-29_final
2021-03-29 09:33:26	ga_ls8c_ard_3-2-0_093071_2021-03-29_final
2021-03-29 09:33:50	ga_ls8c_ard_3-2-0_093072_2021-03-29_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
2021-04-30 09:33:36	ga_ls8c_ard_3-2-0_093072_2021-04-30_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-02 09:22:49	ga_ls8c_ard_3-2-0_091076_2021-05-01_final
2021-05-02 09:23:13	ga_ls8c_ard_3-2-0_091077_2021-05-01_final
2021-05-02 09:23:37	ga_ls8c_ard_3-2-0_091078_2021-05-01_final
2021-05-02 09:24:00	ga_ls8c_ard_3-2-0_091079_2021-05-01_final
2021-05-02 09:24:24	ga_ls8c_ard_3-2-0_091080_2021-05-01_final
2021-05-02 09:24:48	ga_ls8c_ard_3-2-0_091081_2021-05-01_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
2021-06-01 09:33:23	ga_ls8c_ard_3-2-0_093071_2021-06-01_final
2021-06-01 09:33:47	ga_ls8c_ard_3-2-0_093072_2021-06-01_final
2021-10-27 09:14:09	ga_ls8c_ard_3-2-0_089083_2021-10-26_final
2021-10-27 09:14:33	ga_ls8c_ard_3-2-0_089084_2021-10-26_final
2021-10-27 09:14:57	ga_ls8c_ard_3-2-0_089085_2021-10-26_final
2021-10-27 09:15:21	ga_ls8c_ard_3-2-0_089086_2021-10-26_final
2021-10-27 09:15:44	ga_ls8c_ard_3-2-0_089087_2021-10-26_final
2021-10-27 09:16:08	ga_ls8c_ard_3-2-0_089088_2021-10-26_final
2021-10-27 09:16:32	ga_ls8c_ard_3-2-0_089089_2021-10-26_final
2021-10-30 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-30_final
2021-11-01 09:27:53	ga_ls8c_ard_3-2-0_092071_2021-10-31_final
2021-11-01 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-31_final
2021-11-01 09:28:41	ga_ls8c_ard_3-2-0_092073_2021-10-31_final
2021-11-01 09:29:05	ga_ls8c_ard_3-2-0_092074_2021-10-31_final
2021-11-01 09:29:29	ga_ls8c_ard_3-2-0_092075_2021-10-31_final
2021-11-01 09:29:53	ga_ls8c_ard_3-2-0_092076_2021-10-31_final
2021-11-03 09:19:07	ga_ls8c_ard_3-2-0_090080_2021-11-02_final
2021-11-03 09:19:31	ga_ls8c_ard_3-2-0_090081_2021-11-02_final
2021-11-03 09:19:55	ga_ls8c_ard_3-2-0_090082_2021-11-02_final
2021-11-03 09:20:19	ga_ls8c_ard_3-2-0_090083_2021-11-02_final
2021-11-03 09:20:43	ga_ls8c_ard_3-2-0_090084_2021-11-02_final
2021-11-03 09:21:07	ga_ls8c_ard_3-2-0_090085_2021-11-02_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-11-08 09:32:51	ga_ls8c_ard_3-2-0_093068_2021-11-08_final
2021-11-08 09:34:02	ga_ls8c_ard_3-2-0_093071_2021-11-08_final
2021-11-08 09:34:26	ga_ls8c_ard_3-2-0_093072_2021-11-08_final
2022-02-12 09:33:44	ga_ls8c_ard_3-2-1_093071_2022-02-12_final
2022-02-12 09:34:08	ga_ls8c_ard_3-2-1_093072_2022-02-12_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
2022-02-14 09:23:46	ga_ls8c_ard_3-2-1_091077_2022-02-13_final
2022-02-14 09:24:10	ga_ls8c_ard_3-2-1_091078_2022-02-13_final
2022-02-14 09:24:34	ga_ls8c_ard_3-2-1_091079_2022-02-13_final
2022-02-14 09:24:57	ga_ls8c_ard_3-2-1_091080_2022-02-13_final
2022-02-14 09:25:21	ga_ls8c_ard_3-2-1_091081_2022-02-13_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
2022-02-16 09:14:59	ga_ls8c_ard_3-2-1_089086_2022-02-15_final
2022-02-16 09:15:46	ga_ls8c_ard_3-2-1_089088_2022-02-15_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