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
2023-02-01 11:00:57	ga_ls8c_ard_3-2-1_107072_2023-02-01_final
2023-02-01 11:04:56	ga_ls8c_ard_3-2-1_107082_2023-02-01_final
2023-02-01 11:05:44	ga_ls8c_ard_3-2-1_107084_2023-02-01_final
2023-02-03 10:52:11	ga_ls8c_ard_3-2-1_105081_2023-02-03_final
2023-02-03 10:52:35	ga_ls8c_ard_3-2-1_105082_2023-02-03_final
2023-02-03 10:52:59	ga_ls8c_ard_3-2-1_105083_2023-02-03_final
2023-02-04 11:32:15	ga_ls8c_ard_3-2-1_112073_2023-02-04_final
2023-03-15 11:38:01	ga_ls8c_ard_3-2-1_113073_2023-03-15_final
2023-03-17 11:30:01	ga_ls8c_ard_3-2-1_111084_2023-03-17_final
2023-03-19 09:39:57	ga_ls8c_ard_3-2-1_093087_2023-03-19_final
2023-03-19 09:40:21	ga_ls8c_ard_3-2-1_093088_2023-03-19_final
2023-03-23 09:09:58	ga_ls8c_ard_3-2-1_089074_2023-03-22_final
2023-03-24 11:31:42	ga_ls8c_ard_3-2-1_112073_2023-03-24_final
2023-03-24 11:34:06	ga_ls8c_ard_3-2-1_112079_2023-03-24_final
2023-03-24 11:36:05	ga_ls8c_ard_3-2-1_112084_2023-03-24_final
2023-06-16 09:26:56	ga_ls8c_ard_3-2-1_092071_2023-06-15_final
2023-06-16 09:34:31	ga_ls8c_ard_3-2-1_092090_2023-06-16_final
2023-06-17 10:15:23	ga_ls8c_ard_3-2-1_099084_2023-06-17_final
2023-06-17 10:15:47	ga_ls8c_ard_3-2-1_099085_2023-06-17_final
2023-06-18 09:15:46	ga_ls8c_ard_3-2-1_090074_2023-06-17_final
2023-06-18 09:20:33	ga_ls8c_ard_3-2-1_090086_2023-06-17_final
2023-06-27 09:10:28	ga_ls8c_ard_3-2-1_089076_2023-06-26_final
2023-06-27 10:45:45	ga_ls8c_ard_3-2-1_105067_2023-06-27_final
2023-06-27 10:48:09	ga_ls8c_ard_3-2-1_105073_2023-06-27_final
2023-06-27 10:50:09	ga_ls8c_ard_3-2-1_105078_2023-06-27_final
2023-06-27 10:50:33	ga_ls8c_ard_3-2-1_105079_2023-06-27_final
2023-06-27 10:51:21	ga_ls8c_ard_3-2-1_105081_2023-06-27_final
2023-06-27 10:52:09	ga_ls8c_ard_3-2-1_105083_2023-06-27_final
2023-06-29 10:36:37	ga_ls8c_ard_3-2-1_103075_2023-06-29_final
2023-06-30 09:44:36	ga_ls8c_ard_3-2-1_094084_2023-06-30_final
2023-06-30 09:45:48	ga_ls8c_ard_3-2-1_094087_2023-06-30_final
2023-06-30 11:17:30	ga_ls8c_ard_3-2-1_110069_2023-06-30_final
2023-07-01 10:23:53	ga_ls8c_ard_3-2-1_101074_2023-07-01_final
2023-07-01 10:24:17	ga_ls8c_ard_3-2-1_101075_2023-07-01_final
2023-07-01 10:25:05	ga_ls8c_ard_3-2-1_101077_2023-07-01_final
2023-07-02 09:27:05	ga_ls8c_ard_3-2-1_092071_2023-07-01_final
2023-07-02 09:27:53	ga_ls8c_ard_3-2-1_092073_2023-07-01_final
2023-07-02 11:05:10	ga_ls8c_ard_3-2-1_108069_2023-07-02_final
2023-07-03 10:10:45	ga_ls8c_ard_3-2-1_099072_2023-07-03_final
2023-07-03 10:12:45	ga_ls8c_ard_3-2-1_099077_2023-07-03_final
2023-07-03 10:13:09	ga_ls8c_ard_3-2-1_099078_2023-07-03_final
2023-07-03 10:13:33	ga_ls8c_ard_3-2-1_099079_2023-07-03_final
2023-07-03 11:52:50	ga_ls8c_ard_3-2-1_115080_2023-07-03_final
2023-07-04 09:15:56	ga_ls8c_ard_3-2-1_090074_2023-07-03_final
2023-07-04 09:21:08	ga_ls8c_ard_3-2-1_090087_2023-07-03_final
2023-07-04 09:21:32	ga_ls8c_ard_3-2-1_090088_2023-07-03_final
2023-07-05 11:37:42	ga_ls8c_ard_3-2-1_113073_2023-07-05_final
2023-07-06 09:07:12	ga_ls8c_ard_3-2-1_088083_2023-07-05_final
2023-07-07 09:45:40	ga_ls8c_ard_3-2-1_095071_2023-07-07_final
2023-07-09 09:33:20	ga_ls8c_ard_3-2-1_093071_2023-07-09_final
2023-07-11 09:21:47	ga_ls8c_ard_3-2-1_091073_2023-07-10_final
2023-07-13 09:10:37	ga_ls8c_ard_3-2-1_089076_2023-07-12_final
2023-07-16 09:45:55	ga_ls8c_ard_3-2-1_094087_2023-07-16_final
2023-07-18 09:27:10	ga_ls8c_ard_3-2-1_092071_2023-07-17_final
2023-07-18 09:27:58	ga_ls8c_ard_3-2-1_092073_2023-07-17_final
2023-07-18 09:31:09	ga_ls8c_ard_3-2-1_092081_2023-07-18_final
2023-07-18 09:34:21	ga_ls8c_ard_3-2-1_092089_2023-07-18_final
2023-07-18 09:34:45	ga_ls8c_ard_3-2-1_092090_2023-07-18_final
2023-07-20 09:16:00	ga_ls8c_ard_3-2-1_090074_2023-07-19_final
2023-07-21 11:37:45	ga_ls8c_ard_3-2-1_113073_2023-07-21_final
2023-07-22 09:07:15	ga_ls8c_ard_3-2-1_088083_2023-07-21_final
2023-07-22 10:41:45	ga_ls8c_ard_3-2-1_104072_2023-07-22_final
2023-07-23 09:52:07	ga_ls8c_ard_3-2-1_095087_2023-07-23_final
2023-07-25 09:39:48	ga_ls8c_ard_3-2-1_093087_2023-07-25_final
2023-07-25 11:17:29	ga_ls8c_ard_3-2-1_109084_2023-07-25_final
2023-07-28 11:47:13	ga_ls8c_ard_3-2-1_114081_2023-07-28_final
2023-07-29 09:09:56	ga_ls8c_ard_3-2-1_089074_2023-07-28_final
2023-07-29 09:10:44	ga_ls8c_ard_3-2-1_089076_2023-07-28_final
2023-07-30 09:55:36	ga_ls8c_ard_3-2-1_096080_2023-07-30_final
2023-08-03 09:27:19	ga_ls8c_ard_3-2-1_092071_2023-08-02_final
2023-08-03 09:28:07	ga_ls8c_ard_3-2-1_092073_2023-08-02_final
2023-08-05 09:16:09	ga_ls8c_ard_3-2-1_090074_2023-08-04_final
2023-08-05 09:20:09	ga_ls8c_ard_3-2-1_090084_2023-08-04_final
2023-08-06 11:37:54	ga_ls8c_ard_3-2-1_113073_2023-08-06_final
2023-08-08 11:28:44	ga_ls8c_ard_3-2-1_111081_2023-08-08_final
2023-08-08 11:29:56	ga_ls8c_ard_3-2-1_111084_2023-08-08_final
2023-08-12 11:04:26	ga_ls8c_ard_3-2-1_107082_2023-08-12_final
2023-08-13 10:10:01	ga_ls8c_ard_3-2-1_098085_2023-08-13_final
2023-08-14 09:10:49	ga_ls8c_ard_3-2-1_089076_2023-08-13_final
2023-08-14 09:14:25	ga_ls8c_ard_3-2-1_089085_2023-08-13_final
2023-08-14 10:51:42	ga_ls8c_ard_3-2-1_105081_2023-08-14_final
2023-08-17 09:42:57	ga_ls8c_ard_3-2-1_094079_2023-08-17_final
2023-08-17 11:24:14	ga_ls8c_ard_3-2-1_110085_2023-08-17_final
2023-08-19 09:27:25	ga_ls8c_ard_3-2-1_092071_2023-08-18_final
2023-08-19 09:27:49	ga_ls8c_ard_3-2-1_092072_2023-08-18_final
2023-08-19 09:35:00	ga_ls8c_ard_3-2-1_092090_2023-08-19_final
2023-08-21 09:16:17	ga_ls8c_ard_3-2-1_090074_2023-08-20_final
2023-08-22 11:38:02	ga_ls8c_ard_3-2-1_113073_2023-08-22_final
2023-08-26 09:33:39	ga_ls8c_ard_3-2-1_093071_2023-08-26_final
2023-08-30 09:10:55	ga_ls8c_ard_3-2-1_089076_2023-08-29_final
2023-08-30 10:51:48	ga_ls8c_ard_3-2-1_105081_2023-08-30_final
2023-09-02 11:24:17	ga_ls8c_ard_3-2-1_110085_2023-09-02_final
2023-09-04 09:27:27	ga_ls8c_ard_3-2-1_092071_2023-09-03_final
2023-09-04 09:28:14	ga_ls8c_ard_3-2-1_092073_2023-09-03_final
2023-09-06 09:16:16	ga_ls8c_ard_3-2-1_090074_2023-09-05_final
2023-09-07 10:03:31	ga_ls8c_ard_3-2-1_097084_2023-09-07_final
2023-09-07 11:38:01	ga_ls8c_ard_3-2-1_113073_2023-09-07_final
2023-09-08 09:07:31	ga_ls8c_ard_3-2-1_088083_2023-09-07_final
2023-09-09 11:30:04	ga_ls8c_ard_3-2-1_111084_2023-09-09_final
2023-09-11 09:40:27	ga_ls8c_ard_3-2-1_093088_2023-09-11_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