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
2014-10-07 10:08:20	ga_ls8c_ard_3-0-0_098080_2014-10-07_final
2014-10-07 10:08:44	ga_ls8c_ard_3-0-0_098081_2014-10-07_final
2014-10-07 10:09:08	ga_ls8c_ard_3-0-0_098082_2014-10-07_final
2014-10-07 10:09:32	ga_ls8c_ard_3-0-0_098083_2014-10-07_final
2014-10-07 10:09:56	ga_ls8c_ard_3-0-0_098084_2014-10-07_final
2014-10-07 10:10:20	ga_ls8c_ard_3-0-0_098085_2014-10-07_final
2014-10-12 10:22:54	ga_ls8c_ard_3-0-0_101070_2014-10-12_final
2014-10-12 10:23:18	ga_ls8c_ard_3-0-0_101071_2014-10-12_final
2014-10-12 10:23:42	ga_ls8c_ard_3-1-0_101072_2014-10-12_final
2014-12-15 10:22:47	ga_ls8c_ard_3-0-0_101070_2014-12-15_final
2014-12-15 10:23:11	ga_ls8c_ard_3-0-0_101071_2014-12-15_final
2014-12-15 10:23:35	ga_ls8c_ard_3-0-0_101072_2014-12-15_final
2014-12-17 10:12:50	ga_ls8c_ard_3-0-0_099076_2014-12-17_final
2014-12-17 10:13:14	ga_ls8c_ard_3-0-0_099077_2014-12-17_final
2014-12-17 10:13:38	ga_ls8c_ard_3-0-0_099078_2014-12-17_final
2014-12-17 10:14:02	ga_ls8c_ard_3-0-0_099079_2014-12-17_final
2014-12-17 10:14:26	ga_ls8c_ard_3-0-0_099080_2014-12-17_final
2014-12-17 10:14:50	ga_ls8c_ard_3-0-0_099081_2014-12-17_final
2015-06-18 10:16:12	ga_ls8c_ard_3-0-0_100071_2015-06-18_final
2015-06-18 10:16:36	ga_ls8c_ard_3-0-0_100072_2015-06-18_final
2015-06-18 10:17:00	ga_ls8c_ard_3-0-0_100073_2015-06-18_final
2015-06-18 10:17:24	ga_ls8c_ard_3-0-0_100074_2015-06-18_final
2015-06-18 10:17:48	ga_ls8c_ard_3-0-0_100075_2015-06-18_final
2015-06-18 10:18:12	ga_ls8c_ard_3-0-0_100076_2015-06-18_final
2021-03-28 10:27:28	ga_ls8c_ard_3-2-0_102067_2021-03-28_final
2021-03-30 10:16:41	ga_ls8c_ard_3-2-0_100071_2021-03-30_final
2021-03-30 10:17:05	ga_ls8c_ard_3-2-0_100072_2021-03-30_final
2021-03-30 10:17:29	ga_ls8c_ard_3-2-0_100073_2021-03-30_final
2021-03-30 10:17:53	ga_ls8c_ard_3-2-0_100074_2021-03-30_final
2021-03-30 10:18:17	ga_ls8c_ard_3-2-0_100075_2021-03-30_final
2021-03-30 10:18:41	ga_ls8c_ard_3-2-0_100076_2021-03-30_final
2021-03-30 10:19:05	ga_ls8c_ard_3-2-0_100077_2021-03-30_final
2021-04-01 10:07:55	ga_ls8c_ard_3-2-0_098080_2021-04-01_final
2021-04-01 10:08:19	ga_ls8c_ard_3-2-0_098081_2021-04-01_final
2021-04-01 10:08:43	ga_ls8c_ard_3-2-0_098082_2021-04-01_final
2021-04-01 10:09:06	ga_ls8c_ard_3-2-0_098083_2021-04-01_final
2021-04-01 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-04-01_final
2021-04-01 10:09:54	ga_ls8c_ard_3-2-0_098085_2021-04-01_final
2021-04-08 10:12:27	ga_ls8c_ard_3-2-0_099076_2021-04-08_final
2021-04-08 10:12:51	ga_ls8c_ard_3-2-0_099077_2021-04-08_final
2021-04-08 10:13:15	ga_ls8c_ard_3-2-0_099078_2021-04-08_final
2021-04-08 10:13:39	ga_ls8c_ard_3-2-0_099079_2021-04-08_final
2021-04-08 10:14:03	ga_ls8c_ard_3-2-0_099080_2021-04-08_final
2021-04-08 10:14:27	ga_ls8c_ard_3-2-0_099081_2021-04-08_final
2021-04-10 10:03:17	ga_ls8c_ard_3-2-0_097084_2021-04-10_final
2021-04-10 10:03:41	ga_ls8c_ard_3-2-0_097085_2021-04-10_final
2021-04-10 10:04:05	ga_ls8c_ard_3-2-0_097086_2021-04-10_final
2021-10-17 10:12:45	ga_ls8c_ard_3-2-0_099075_2021-10-17_final
2022-10-11 10:19:02	ga_ls8c_ard_3-2-1_100075_2022-10-11_final
2022-10-13 10:08:38	ga_ls8c_ard_3-2-1_098080_2022-10-13_final
2022-10-13 10:09:02	ga_ls8c_ard_3-2-1_098081_2022-10-13_final
2022-10-13 10:09:26	ga_ls8c_ard_3-2-1_098082_2022-10-13_final
2022-10-13 10:09:50	ga_ls8c_ard_3-2-1_098083_2022-10-13_final
2022-10-13 10:10:14	ga_ls8c_ard_3-2-1_098084_2022-10-13_final
2022-10-13 10:10:38	ga_ls8c_ard_3-2-1_098085_2022-10-13_final
2022-10-20 10:12:53	ga_ls8c_ard_3-2-1_099075_2022-10-20_final
2022-10-20 10:13:17	ga_ls8c_ard_3-2-1_099076_2022-10-20_final
2022-10-20 10:13:41	ga_ls8c_ard_3-2-1_099077_2022-10-20_final
2022-10-20 10:14:05	ga_ls8c_ard_3-2-1_099078_2022-10-20_final
2022-10-20 10:14:29	ga_ls8c_ard_3-2-1_099079_2022-10-20_final
2022-10-20 10:14:53	ga_ls8c_ard_3-2-1_099080_2022-10-20_final
2022-10-20 10:15:17	ga_ls8c_ard_3-2-1_099081_2022-10-20_final
2022-10-25 10:28:17	ga_ls8c_ard_3-2-1_102067_2022-10-25_final
2022-10-27 10:17:32	ga_ls8c_ard_3-2-1_100071_2022-10-27_final
2022-10-27 10:17:56	ga_ls8c_ard_3-2-1_100072_2022-10-27_final
2022-10-27 10:18:20	ga_ls8c_ard_3-2-1_100073_2022-10-27_final
2022-10-27 10:18:44	ga_ls8c_ard_3-2-1_100074_2022-10-27_final
2022-10-27 10:19:08	ga_ls8c_ard_3-2-1_100075_2022-10-27_final
2022-10-27 10:19:32	ga_ls8c_ard_3-2-1_100076_2022-10-27_final
2022-10-29 10:08:46	ga_ls8c_ard_3-2-1_098080_2022-10-29_final
2022-10-29 10:09:10	ga_ls8c_ard_3-2-1_098081_2022-10-29_final
2022-10-29 10:09:34	ga_ls8c_ard_3-2-1_098082_2022-10-29_final
2022-10-29 10:09:58	ga_ls8c_ard_3-2-1_098083_2022-10-29_final
2022-10-29 10:10:22	ga_ls8c_ard_3-2-1_098084_2022-10-29_final
2022-10-29 10:10:46	ga_ls8c_ard_3-2-1_098085_2022-10-29_final
2022-11-28 10:17:28	ga_ls8c_ard_3-2-1_100071_2022-11-28_final
2022-11-28 10:17:52	ga_ls8c_ard_3-2-1_100072_2022-11-28_final
2022-11-28 10:18:16	ga_ls8c_ard_3-2-1_100073_2022-11-28_final
2022-11-28 10:18:40	ga_ls8c_ard_3-2-1_100074_2022-11-28_final
2022-11-28 10:19:04	ga_ls8c_ard_3-2-1_100075_2022-11-28_final
2022-11-28 10:19:28	ga_ls8c_ard_3-2-1_100076_2022-11-28_final
2023-03-31 10:03:20	ga_ls8c_ard_3-2-1_097084_2023-03-31_final
2023-03-31 10:03:44	ga_ls8c_ard_3-2-1_097085_2023-03-31_final
2023-04-03 10:27:25	ga_ls8c_ard_3-2-1_102067_2023-04-03_final
2023-04-05 10:16:37	ga_ls8c_ard_3-2-1_100071_2023-04-05_final
2023-04-05 10:17:00	ga_ls8c_ard_3-2-1_100072_2023-04-05_final
2023-04-05 10:17:24	ga_ls8c_ard_3-2-1_100073_2023-04-05_final
2023-04-05 10:17:48	ga_ls8c_ard_3-2-1_100074_2023-04-05_final
2023-04-05 10:18:12	ga_ls8c_ard_3-2-1_100075_2023-04-05_final
2023-04-05 10:18:36	ga_ls8c_ard_3-2-1_100076_2023-04-05_final
2023-04-05 10:19:00	ga_ls8c_ard_3-2-1_100077_2023-04-05_final
2023-04-07 10:07:48	ga_ls8c_ard_3-2-1_098080_2023-04-07_final
2023-04-07 10:08:12	ga_ls8c_ard_3-2-1_098081_2023-04-07_final
2023-04-07 10:08:36	ga_ls8c_ard_3-2-1_098082_2023-04-07_final
2023-04-07 10:08:59	ga_ls8c_ard_3-2-1_098083_2023-04-07_final
2023-04-07 10:09:23	ga_ls8c_ard_3-2-1_098084_2023-04-07_final
2023-04-07 10:09:47	ga_ls8c_ard_3-2-1_098085_2023-04-07_final
2023-04-12 10:21:51	ga_ls8c_ard_3-2-1_101069_2023-04-12_final
2023-04-12 10:22:15	ga_ls8c_ard_3-2-1_101070_2023-04-12_final
2023-04-12 10:22:39	ga_ls8c_ard_3-2-1_101071_2023-04-12_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