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
2013-08-28 08:12:46	ga_ls8c_ard_3-2-1_079080_2013-08-27_final
2014-10-30 10:08:53	ga_ls8c_ard_3-2-1_099066_2014-10-30_final
2016-09-21 08:10:57	ga_ls8c_ard_3-2-1_079080_2016-09-20_final
2019-10-13 12:31:40	ga_ls8c_ard_3-2-1_122067_2019-10-13_final
2019-12-31 10:08:57	ga_ls8c_ard_3-2-1_099066_2019-12-31_final
2020-10-02 08:11:02	ga_ls8c_ard_3-2-1_079080_2020-10-01_final
2022-04-13 11:42:16	ga_ls8c_ard_3-2-1_113084_2022-04-13_final
2022-06-08 09:15:48	ga_ls8c_ard_3-2-1_089088_2022-06-07_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2023-01-08 10:09:08	ga_ls8c_ard_3-2-1_099066_2023-01-08_final
2023-01-15 11:57:42	ga_ls8c_ard_3-2-1_116075_2023-01-15_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2024-01-12 09:18:49	ga_ls8c_ard_3-2-1_090080_2024-01-11_final
2024-01-25 10:24:18	ga_ls8c_ard_3-2-1_101074_2024-01-25_final
2024-01-31 09:48:51	ga_ls8c_ard_3-2-1_095078_2024-01-31_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-05 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-02-05_final
2024-02-06 10:50:42	ga_ls8c_ard_3-2-1_105078_2024-02-06_final
2024-02-07 09:55:05	ga_ls8c_ard_3-2-1_096078_2024-02-07_final
2024-02-07 09:57:52	ga_ls8c_ard_3-2-1_096085_2024-02-07_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-10 10:24:23	ga_ls8c_ard_3-2-1_101074_2024-02-10_final
2024-02-11 11:11:38	ga_ls8c_ard_3-2-1_108084_2024-02-11_final
2024-02-12 10:15:13	ga_ls8c_ard_3-2-1_099082_2024-02-12_final
2024-02-13 10:57:40	ga_ls8c_ard_3-2-1_106080_2024-02-13_final
2024-02-14 11:41:19	ga_ls8c_ard_3-2-1_113081_2024-02-14_final
2024-02-18 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-18_final
2024-02-18 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-18_final
2024-02-19 10:20:10	ga_ls8c_ard_3-2-1_100079_2024-02-19_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-02-27 09:33:52	ga_ls8c_ard_3-2-1_092087_2024-02-27_final
2024-02-27 11:09:57	ga_ls8c_ard_3-2-1_108080_2024-02-27_final
2024-03-01 10:03:31	ga_ls8c_ard_3-2-1_097084_2024-03-01_final
2024-03-03 09:51:08	ga_ls8c_ard_3-2-1_095084_2024-03-03_final
2024-03-03 11:24:02	ga_ls8c_ard_3-2-1_111069_2024-03-03_final
2024-03-03 11:28:01	ga_ls8c_ard_3-2-1_111079_2024-03-03_final
2024-03-05 09:37:08	ga_ls8c_ard_3-2-1_093080_2024-03-05_final
2024-03-06 10:20:23	ga_ls8c_ard_3-2-1_100080_2024-03-06_final
2024-03-07 09:23:56	ga_ls8c_ard_3-2-1_091078_2024-03-06_final
2024-03-08 10:09:12	ga_ls8c_ard_3-2-1_098083_2024-03-08_final
2024-03-10 11:35:43	ga_ls8c_ard_3-2-1_112083_2024-03-10_final
2024-03-11 10:36:06	ga_ls8c_ard_3-2-1_103073_2024-03-11_final
2024-03-12 09:43:40	ga_ls8c_ard_3-2-1_094081_2024-03-12_final
2024-03-13 10:24:07	ga_ls8c_ard_3-2-1_101074_2024-03-13_final
2024-03-14 09:30:29	ga_ls8c_ard_3-2-1_092079_2024-03-14_final
2024-03-14 11:11:22	ga_ls8c_ard_3-2-1_108084_2024-03-14_final
2024-03-18 10:42:37	ga_ls8c_ard_3-2-1_104074_2024-03-18_final
2024-03-20 10:33:25	ga_ls8c_ard_3-2-1_102082_2024-03-20_final
2024-03-21 09:38:59	ga_ls8c_ard_3-2-1_093085_2024-03-21_final
2024-03-25 10:50:40	ga_ls8c_ard_3-2-1_105079_2024-03-25_final
2024-03-26 11:34:17	ga_ls8c_ard_3-2-1_112080_2024-03-26_final
2024-03-28 09:43:24	ga_ls8c_ard_3-2-1_094081_2024-03-28_final
2024-03-28 09:44:36	ga_ls8c_ard_3-2-1_094084_2024-03-28_final
2024-03-28 11:19:30	ga_ls8c_ard_3-2-1_110074_2024-03-28_final
2024-03-28 11:20:18	ga_ls8c_ard_3-2-1_110076_2024-03-28_final
2024-03-30 11:08:45	ga_ls8c_ard_3-2-1_108078_2024-03-30_final
2024-03-30 11:11:08	ga_ls8c_ard_3-2-1_108084_2024-03-30_final
2024-03-31 10:11:56	ga_ls8c_ard_3-2-1_099075_2024-03-31_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-06 09:37:15	ga_ls8c_ard_3-2-1_093081_2024-04-06_final
2024-04-06 11:16:08	ga_ls8c_ard_3-2-1_109081_2024-04-06_final
2024-04-07 10:16:31	ga_ls8c_ard_3-2-1_100071_2024-04-07_final
2024-04-07 10:19:42	ga_ls8c_ard_3-2-1_100079_2024-04-07_final
2024-04-07 10:20:30	ga_ls8c_ard_3-2-1_100081_2024-04-07_final
2024-04-07 11:57:47	ga_ls8c_ard_3-2-1_116077_2024-04-07_final
2024-04-08 09:25:40	ga_ls8c_ard_3-2-1_091083_2024-04-07_final
2024-04-08 11:03:45	ga_ls8c_ard_3-2-1_107081_2024-04-08_final
2024-04-10 09:10:54	ga_ls8c_ard_3-2-1_089077_2024-04-09_final
2024-04-11 11:33:50	ga_ls8c_ard_3-2-1_112079_2024-04-11_final
2024-04-13 09:42:11	ga_ls8c_ard_3-2-1_094078_2024-04-13_final
2024-04-13 11:21:04	ga_ls8c_ard_3-2-1_110078_2024-04-13_final
2024-04-14 10:22:38	ga_ls8c_ard_3-2-1_101071_2024-04-14_final
2024-04-16 10:14:38	ga_ls8c_ard_3-2-1_099082_2024-04-16_final
2024-04-18 10:00:38	ga_ls8c_ard_3-2-1_097078_2024-04-18_final
2024-04-18 11:40:43	ga_ls8c_ard_3-2-1_113081_2024-04-18_final
2024-04-20 09:50:39	ga_ls8c_ard_3-2-1_095084_2024-04-20_final
2024-04-20 11:25:09	ga_ls8c_ard_3-2-1_111073_2024-04-20_final
2024-04-20 11:27:08	ga_ls8c_ard_3-2-1_111078_2024-04-20_final
2024-04-21 10:29:56	ga_ls8c_ard_3-2-1_102074_2024-04-21_final
2024-04-22 09:37:30	ga_ls8c_ard_3-2-1_093082_2024-04-22_final
2024-04-22 09:38:42	ga_ls8c_ard_3-2-1_093085_2024-04-22_final
2024-04-29 09:44:48	ga_ls8c_ard_3-2-1_094085_2024-04-29_final
2024-04-29 11:20:05	ga_ls8c_ard_3-2-1_110076_2024-04-29_final
2024-04-29 11:21:17	ga_ls8c_ard_3-2-1_110079_2024-04-29_final
2024-05-01 09:30:00	ga_ls8c_ard_3-2-1_092079_2024-05-01_final
2024-05-01 11:06:53	ga_ls8c_ard_3-2-1_108074_2024-05-01_final
2024-05-01 11:08:29	ga_ls8c_ard_3-2-1_108078_2024-05-01_final
2024-05-01 11:10:53	ga_ls8c_ard_3-2-1_108084_2024-05-01_final
2024-05-02 10:14:27	ga_ls8c_ard_3-2-1_099082_2024-05-02_final
2024-05-03 10:54:31	ga_ls8c_ard_3-2-1_106074_2024-05-03_final
2024-05-06 09:47:42	ga_ls8c_ard_3-2-1_095077_2024-05-06_final
2024-05-06 11:27:23	ga_ls8c_ard_3-2-1_111079_2024-05-06_final
2024-05-08 09:34:56	ga_ls8c_ard_3-2-1_093076_2024-05-08_final
2024-05-08 09:35:44	ga_ls8c_ard_3-2-1_093078_2024-05-08_final
2024-05-08 09:36:08	ga_ls8c_ard_3-2-1_093079_2024-05-08_final
2024-05-08 09:36:31	ga_ls8c_ard_3-2-1_093080_2024-05-08_final
2024-05-08 11:12:13	ga_ls8c_ard_3-2-1_109072_2024-05-08_final
2024-05-09 11:57:52	ga_ls8c_ard_3-2-1_116078_2024-05-09_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