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
2013-05-28 09:28:32	ga_ls8c_ard_3-0-0_091084_2013-05-27_final
2013-05-29 10:11:47	ga_ls8c_ard_3-0-0_098084_2013-05-29_final
2013-05-31 09:59:26	ga_ls8c_ard_3-0-0_096084_2013-05-31_final
2013-05-31 11:38:19	ga_ls8c_ard_3-0-0_112084_2013-05-31_final
2013-06-02 09:47:04	ga_ls8c_ard_3-0-0_094084_2013-06-02_final
2013-06-09 09:53:13	ga_ls8c_ard_3-0-0_095084_2013-06-09_final
2013-06-11 09:40:50	ga_ls8c_ard_3-0-0_093084_2013-06-11_final
2013-06-13 09:28:28	ga_ls8c_ard_3-0-0_091084_2013-06-12_final
2013-06-25 09:53:07	ga_ls8c_ard_3-0-0_095084_2013-06-25_final
2013-06-27 09:40:47	ga_ls8c_ard_3-0-0_093084_2013-06-27_final
2013-06-27 11:19:40	ga_ls8c_ard_3-0-0_109084_2013-06-27_final
2013-06-28 10:24:03	ga_ls8c_ard_3-0-0_100084_2013-06-28_final
2013-06-29 09:28:02	ga_ls8c_ard_3-0-0_091083_2013-06-28_final
2013-06-29 09:28:26	ga_ls8c_ard_3-0-0_091084_2013-06-28_final
2013-06-29 11:06:55	ga_ls8c_ard_3-0-0_107083_2013-06-29_final
2013-06-29 11:07:19	ga_ls8c_ard_3-0-0_107084_2013-06-29_final
2013-06-30 10:11:42	ga_ls8c_ard_3-0-0_098084_2013-06-30_final
2013-07-01 09:16:05	ga_ls8c_ard_3-0-0_089084_2013-06-30_final
2013-08-30 09:40:53	ga_ls8c_ard_3-0-0_093084_2013-08-30_final
2013-08-31 10:24:08	ga_ls8c_ard_3-0-0_100084_2013-08-31_final
2013-09-01 09:28:31	ga_ls8c_ard_3-0-0_091084_2013-08-31_final
2013-09-01 11:07:24	ga_ls8c_ard_3-0-0_107084_2013-09-01_final
2013-09-03 09:16:09	ga_ls8c_ard_3-0-0_089084_2013-09-02_final
2013-09-11 10:05:33	ga_ls8c_ard_3-0-0_097084_2013-09-11_final
2013-09-11 11:44:27	ga_ls8c_ard_3-0-0_113084_2013-09-11_final
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2013-09-13 09:52:47	ga_ls8c_ard_3-0-0_095083_2013-09-13_final
2013-09-13 09:53:11	ga_ls8c_ard_3-0-0_095084_2013-09-13_final
2013-09-13 11:32:04	ga_ls8c_ard_3-0-0_111084_2013-09-13_final
2013-09-15 09:40:49	ga_ls8c_ard_3-0-0_093084_2013-09-15_final
2013-09-15 11:19:42	ga_ls8c_ard_3-0-0_109084_2013-09-15_final
2013-10-01 09:40:43	ga_ls8c_ard_3-0-0_093084_2013-10-01_final
2013-10-01 11:19:36	ga_ls8c_ard_3-0-0_109084_2013-10-01_final
2013-10-02 10:23:58	ga_ls8c_ard_3-0-0_100084_2013-10-02_final
2013-10-03 11:06:50	ga_ls8c_ard_3-0-0_107083_2013-10-03_final
2013-10-03 11:07:14	ga_ls8c_ard_3-0-0_107084_2013-10-03_final
2017-05-12 09:44:00	ga_ls8c_ard_3-0-0_094083_2017-05-12_final
2017-05-12 09:44:24	ga_ls8c_ard_3-0-0_094084_2017-05-12_final
2017-05-12 11:22:53	ga_ls8c_ard_3-0-0_110083_2017-05-12_final
2017-05-12 11:23:17	ga_ls8c_ard_3-0-0_110084_2017-05-12_final
2017-05-13 10:27:17	ga_ls8c_ard_3-0-0_101083_2017-05-13_final
2017-05-13 10:27:41	ga_ls8c_ard_3-0-0_101084_2017-05-13_final
2017-05-14 09:32:04	ga_ls8c_ard_3-0-0_092084_2017-05-14_final
2017-05-14 11:10:33	ga_ls8c_ard_3-0-0_108083_2017-05-14_final
2017-05-14 11:10:57	ga_ls8c_ard_3-0-0_108084_2017-05-14_final
2017-05-15 10:14:57	ga_ls8c_ard_3-0-0_099083_2017-05-15_final
2017-05-15 10:15:21	ga_ls8c_ard_3-0-0_099084_2017-05-15_final
2017-05-16 09:19:20	ga_ls8c_ard_3-0-0_090083_2017-05-15_final
2017-05-16 09:19:44	ga_ls8c_ard_3-0-0_090084_2017-05-15_final
2017-05-16 10:58:13	ga_ls8c_ard_3-0-0_106083_2017-05-16_final
2017-05-16 10:58:37	ga_ls8c_ard_3-0-0_106084_2017-05-16_final
2017-06-29 09:44:23	ga_ls8c_ard_3-0-0_094083_2017-06-29_final
2017-06-29 09:44:47	ga_ls8c_ard_3-0-0_094084_2017-06-29_final
2017-06-29 11:23:16	ga_ls8c_ard_3-0-0_110083_2017-06-29_final
2017-06-29 11:23:40	ga_ls8c_ard_3-0-0_110084_2017-06-29_final
2017-06-30 10:27:39	ga_ls8c_ard_3-0-0_101083_2017-06-30_final
2017-06-30 10:28:03	ga_ls8c_ard_3-0-0_101084_2017-06-30_final
2017-07-01 09:32:26	ga_ls8c_ard_3-0-0_092084_2017-07-01_final
2017-07-01 11:10:55	ga_ls8c_ard_3-0-0_108083_2017-07-01_final
2017-07-01 11:11:19	ga_ls8c_ard_3-0-0_108084_2017-07-01_final
2017-07-02 10:15:18	ga_ls8c_ard_3-0-0_099083_2017-07-02_final
2017-07-02 10:15:42	ga_ls8c_ard_3-0-0_099084_2017-07-02_final
2017-07-03 09:19:41	ga_ls8c_ard_3-0-0_090083_2017-07-02_final
2017-07-03 09:20:04	ga_ls8c_ard_3-0-0_090084_2017-07-02_final
2017-07-03 10:58:34	ga_ls8c_ard_3-0-0_106083_2017-07-03_final
2017-07-03 10:58:57	ga_ls8c_ard_3-0-0_106084_2017-07-03_final
2022-10-12 11:05:28	ga_ls8c_ard_3-2-1_107083_2022-10-12_final
2022-10-12 11:05:52	ga_ls8c_ard_3-2-1_107084_2022-10-12_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
2022-10-14 09:14:36	ga_ls8c_ard_3-2-1_089084_2022-10-13_final
2022-10-14 10:53:05	ga_ls8c_ard_3-2-1_105083_2022-10-14_final
2022-10-15 09:57:53	ga_ls8c_ard_3-2-1_096084_2022-10-15_final
2022-10-15 11:36:46	ga_ls8c_ard_3-2-1_112084_2022-10-15_final
2022-10-17 09:45:09	ga_ls8c_ard_3-2-1_094083_2022-10-17_final
2022-10-17 09:45:33	ga_ls8c_ard_3-2-1_094084_2022-10-17_final
2022-10-17 11:24:02	ga_ls8c_ard_3-2-1_110083_2022-10-17_final
2022-10-17 11:24:26	ga_ls8c_ard_3-2-1_110084_2022-10-17_final
2022-10-18 10:28:25	ga_ls8c_ard_3-2-1_101083_2022-10-18_final
2022-10-19 09:33:13	ga_ls8c_ard_3-2-1_092084_2022-10-19_final
2022-10-19 11:12:06	ga_ls8c_ard_3-2-1_108084_2022-10-19_final
2022-10-20 10:16:05	ga_ls8c_ard_3-2-1_099083_2022-10-20_final
2022-10-20 10:16:29	ga_ls8c_ard_3-2-1_099084_2022-10-20_final
2022-10-26 09:39:27	ga_ls8c_ard_3-2-1_093084_2022-10-26_final
2022-10-26 11:17:56	ga_ls8c_ard_3-2-1_109083_2022-10-26_final
2022-10-26 11:18:20	ga_ls8c_ard_3-2-1_109084_2022-10-26_final
2022-10-27 10:22:43	ga_ls8c_ard_3-2-1_100084_2022-10-27_final
2022-10-28 09:27:06	ga_ls8c_ard_3-2-1_091084_2022-10-27_final
2022-10-28 11:05:35	ga_ls8c_ard_3-2-1_107083_2022-10-28_final
2022-10-28 11:05:59	ga_ls8c_ard_3-2-1_107084_2022-10-28_final
2023-10-25 11:42:14	ga_ls8c_ard_3-2-1_113083_2023-10-25_final
2023-10-26 09:07:44	ga_ls8c_ard_3-2-1_088083_2023-10-25_final
2023-10-31 11:05:10	ga_ls8c_ard_3-2-1_107083_2023-10-31_final
2023-10-31 11:05:34	ga_ls8c_ard_3-2-1_107084_2023-10-31_final
2023-11-01 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-11-01_final
2023-11-01 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-01_final
2023-11-02 09:13:56	ga_ls8c_ard_3-2-1_089083_2023-11-01_final
2023-11-02 09:14:19	ga_ls8c_ard_3-2-1_089084_2023-11-01_final
2023-11-02 10:52:49	ga_ls8c_ard_3-2-1_105083_2023-11-02_final
2023-11-03 09:57:35	ga_ls8c_ard_3-2-1_096084_2023-11-03_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