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
2020-02-05 08:10:46	ga_ls8c_ard_3-2-1_079080_2020-02-04_final
2022-03-12 11:42:24	ga_ls8c_ard_3-2-1_113084_2022-03-12_final
2022-03-27 09:22:52	ga_ls8c_ard_3-2-1_090091_2022-03-26_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-08-21 08:11:15	ga_ls8c_ard_3-2-1_079080_2022-08-20_final
2023-01-10 11:42:49	ga_ls8c_ard_3-2-1_113084_2023-01-10_final
2023-01-26 11:42:48	ga_ls8c_ard_3-2-1_113084_2023-01-26_final
2023-02-02 10:06:31	ga_ls8c_ard_3-2-1_098075_2023-02-02_final
2023-02-27 11:42:30	ga_ls8c_ard_3-2-1_113084_2023-02-27_final
2023-03-17 09:49:08	ga_ls8c_ard_3-2-1_095079_2023-03-17_final
2023-03-21 11:03:14	ga_ls8c_ard_3-2-1_107079_2023-03-21_final
2023-07-06 10:40:29	ga_ls8c_ard_3-2-1_104069_2023-07-06_final
2023-07-06 10:41:17	ga_ls8c_ard_3-2-1_104071_2023-07-06_final
2023-07-09 09:36:55	ga_ls8c_ard_3-2-1_093080_2023-07-09_final
2023-07-09 09:38:07	ga_ls8c_ard_3-2-1_093083_2023-07-09_final
2023-07-10 08:42:06	ga_ls8c_ard_3-2-1_084082_2023-07-09_final
2023-07-12 11:45:31	ga_ls8c_ard_3-2-1_114077_2023-07-12_final
2023-07-15 10:37:33	ga_ls8c_ard_3-2-1_103077_2023-07-15_final
2023-07-16 11:18:01	ga_ls8c_ard_3-2-1_110070_2023-07-16_final
2023-07-21 11:38:33	ga_ls8c_ard_3-2-1_113075_2023-07-21_final
2023-07-28 10:05:09	ga_ls8c_ard_3-2-1_098073_2023-07-28_final
2023-07-28 11:45:38	ga_ls8c_ard_3-2-1_114077_2023-07-28_final
2023-07-29 10:48:01	ga_ls8c_ard_3-2-1_105072_2023-07-29_final
2023-07-30 09:54:48	ga_ls8c_ard_3-2-1_096078_2023-07-30_final
2023-07-31 10:36:53	ga_ls8c_ard_3-2-1_103075_2023-07-31_final
2023-08-06 11:38:42	ga_ls8c_ard_3-2-1_113075_2023-08-06_final
2023-08-10 09:35:30	ga_ls8c_ard_3-2-1_093076_2023-08-10_final
2023-08-12 09:25:32	ga_ls8c_ard_3-2-1_091082_2023-08-11_final
2023-08-19 11:10:18	ga_ls8c_ard_3-2-1_108081_2023-08-19_final
2023-08-28 09:25:40	ga_ls8c_ard_3-2-1_091082_2023-08-27_final
2023-08-28 11:04:10	ga_ls8c_ard_3-2-1_107081_2023-08-28_final
2023-09-04 11:06:43	ga_ls8c_ard_3-2-1_108072_2023-09-04_final
2023-09-05 10:11:54	ga_ls8c_ard_3-2-1_099074_2023-09-05_final
2023-09-11 11:14:56	ga_ls8c_ard_3-2-1_109077_2023-09-11_final
2023-09-11 11:16:08	ga_ls8c_ard_3-2-1_109080_2023-09-11_final
2023-09-12 10:20:32	ga_ls8c_ard_3-2-1_100080_2023-09-12_final
2023-09-12 10:21:20	ga_ls8c_ard_3-2-1_100082_2023-09-12_final
2023-09-15 10:47:28	ga_ls8c_ard_3-2-1_105070_2023-09-15_final
2023-09-16 09:52:39	ga_ls8c_ard_3-2-1_096072_2023-09-16_final
2023-09-20 11:10:01	ga_ls8c_ard_3-2-1_108080_2023-09-20_final
2023-09-23 11:38:55	ga_ls8c_ard_3-2-1_113075_2023-09-23_final
2023-09-27 09:35:45	ga_ls8c_ard_3-2-1_093076_2023-09-27_final
2023-09-28 10:18:37	ga_ls8c_ard_3-2-1_100075_2023-09-28_final
2023-09-28 10:21:25	ga_ls8c_ard_3-2-1_100082_2023-09-28_final
2023-09-28 11:58:18	ga_ls8c_ard_3-2-1_116077_2023-09-28_final
2023-09-29 11:03:29	ga_ls8c_ard_3-2-1_107079_2023-09-29_final
2023-09-30 11:46:21	ga_ls8c_ard_3-2-1_114078_2023-09-30_final
2023-10-02 09:56:18	ga_ls8c_ard_3-2-1_096081_2023-10-02_final
2023-10-06 09:35:09	ga_ls8c_ard_3-2-1_092090_2023-10-06_final
2023-10-07 10:11:39	ga_ls8c_ard_3-2-1_099073_2023-10-07_final
2023-10-08 10:56:55	ga_ls8c_ard_3-2-1_106078_2023-10-08_final
2023-10-09 10:03:18	ga_ls8c_ard_3-2-1_097083_2023-10-09_final
2023-10-10 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-10-10_final
2023-10-15 09:24:15	ga_ls8c_ard_3-2-1_091078_2023-10-14_final
2023-10-16 10:05:30	ga_ls8c_ard_3-2-1_098073_2023-10-16_final
2023-10-16 10:05:54	ga_ls8c_ard_3-2-1_098074_2023-10-16_final
2023-10-23 10:11:42	ga_ls8c_ard_3-2-1_099073_2023-10-23_final
2023-10-24 10:57:22	ga_ls8c_ard_3-2-1_106079_2023-10-24_final
2023-10-29 09:37:27	ga_ls8c_ard_3-2-1_093080_2023-10-29_final
2023-10-30 10:18:43	ga_ls8c_ard_3-2-1_100075_2023-10-30_final
2023-11-05 11:22:54	ga_ls8c_ard_3-2-1_110081_2023-11-05_final
2023-11-07 09:30:02	ga_ls8c_ard_3-2-1_092077_2023-11-07_final
2023-11-08 10:14:52	ga_ls8c_ard_3-2-1_099081_2023-11-08_final
2023-11-09 09:20:01	ga_ls8c_ard_3-2-1_090083_2023-11-08_final
2023-11-09 10:58:30	ga_ls8c_ard_3-2-1_106082_2023-11-09_final
2023-11-14 09:36:37	ga_ls8c_ard_3-2-1_093078_2023-11-14_final
2023-11-23 11:10:11	ga_ls8c_ard_3-2-1_108080_2023-11-23_final
2023-11-26 11:39:53	ga_ls8c_ard_3-2-1_113077_2023-11-26_final
2023-12-01 10:20:42	ga_ls8c_ard_3-2-1_100080_2023-12-01_final
2023-12-07 09:46:18	ga_ls8c_ard_3-2-1_094087_2023-12-07_final
2023-12-08 10:26:23	ga_ls8c_ard_3-2-1_101079_2023-12-08_final
2023-12-12 10:00:55	ga_ls8c_ard_3-2-1_097077_2023-12-12_final
2023-12-14 11:27:04	ga_ls8c_ard_3-2-1_111076_2023-12-14_final
2023-12-14 11:27:28	ga_ls8c_ard_3-2-1_111077_2023-12-14_final
2023-12-14 11:28:39	ga_ls8c_ard_3-2-1_111080_2023-12-14_final
2023-12-16 11:15:07	ga_ls8c_ard_3-2-1_109077_2023-12-16_final
2023-12-23 09:46:26	ga_ls8c_ard_3-2-1_094087_2023-12-23_final
2023-12-30 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-12-30_final
2023-12-30 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-12-30_final
2023-12-30 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-12-30_final
2024-01-12 09:21:37	ga_ls8c_ard_3-2-1_090087_2024-01-11_final
2024-01-17 11:16:14	ga_ls8c_ard_3-2-1_109080_2024-01-17_final
2024-01-22 11:34:44	ga_ls8c_ard_3-2-1_112080_2024-01-22_final
2024-01-27 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-01-27_final
2024-01-29 10:03:11	ga_ls8c_ard_3-2-1_097083_2024-01-29_final
2024-02-02 09:36:07	ga_ls8c_ard_3-2-1_093077_2024-02-02_final
2024-02-07 09:54:41	ga_ls8c_ard_3-2-1_096077_2024-02-07_final
2024-02-09 09:45:55	ga_ls8c_ard_3-2-1_094086_2024-02-09_final
2024-02-09 11:22:48	ga_ls8c_ard_3-2-1_110081_2024-02-09_final
2024-02-12 10:12:01	ga_ls8c_ard_3-2-1_099074_2024-02-12_final
2024-02-14 11:39:19	ga_ls8c_ard_3-2-1_113076_2024-02-14_final
2024-02-16 09:48:04	ga_ls8c_ard_3-2-1_095076_2024-02-16_final
2024-02-16 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-02-16_final
2024-02-17 10:32:31	ga_ls8c_ard_3-2-1_102079_2024-02-17_final
2024-02-23 09:55:50	ga_ls8c_ard_3-2-1_096080_2024-02-23_final
2024-02-24 10:39:05	ga_ls8c_ard_3-2-1_103080_2024-02-24_final
2024-02-27 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-02-26_final
2024-02-27 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-02-27_final
2024-02-29 10:57:10	ga_ls8c_ard_3-2-1_106079_2024-02-29_final
2024-03-08 11:46:05	ga_ls8c_ard_3-2-1_114078_2024-03-08_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