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
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 11:10:55	ga_ls8c_ard_3-0-0_108085_2018-05-17_final
2020-06-08 10:15:53	ga_ls8c_ard_3-1-0_099085_2020-06-08_final
2020-06-09 09:20:17	ga_ls8c_ard_3-1-0_090085_2020-06-08_final
2020-06-09 10:58:46	ga_ls8c_ard_3-1-0_106084_2020-06-09_final
2020-06-10 10:03:33	ga_ls8c_ard_3-1-0_097085_2020-06-10_final
2020-06-10 11:42:02	ga_ls8c_ard_3-1-0_113084_2020-06-10_final
2020-06-12 09:51:12	ga_ls8c_ard_3-1-0_095085_2020-06-12_final
2020-06-12 11:30:05	ga_ls8c_ard_3-1-0_111085_2020-06-12_final
2020-06-24 10:15:38	ga_ls8c_ard_3-1-0_099084_2020-06-24_final
2020-06-24 10:16:02	ga_ls8c_ard_3-1-0_099085_2020-06-24_final
2020-06-25 09:20:25	ga_ls8c_ard_3-1-0_090085_2020-06-24_final
2020-06-25 10:58:54	ga_ls8c_ard_3-1-0_106084_2020-06-25_final
2020-06-26 10:03:42	ga_ls8c_ard_3-1-0_097085_2020-06-26_final
2020-07-09 09:32:53	ga_ls8c_ard_3-1-0_092085_2020-07-09_final
2020-07-09 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-07-09_final
2020-07-09 11:11:46	ga_ls8c_ard_3-1-0_108085_2020-07-09_final
2020-07-10 10:16:09	ga_ls8c_ard_3-1-0_099085_2020-07-10_final
2020-07-11 09:20:32	ga_ls8c_ard_3-1-0_090085_2020-07-10_final
2020-07-12 10:03:48	ga_ls8c_ard_3-1-0_097085_2020-07-12_final
2020-07-14 09:51:27	ga_ls8c_ard_3-1-0_095085_2020-07-14_final
2020-07-14 11:30:20	ga_ls8c_ard_3-1-0_111085_2020-07-14_final
2020-07-25 09:32:58	ga_ls8c_ard_3-1-0_092085_2020-07-25_final
2020-07-25 11:11:27	ga_ls8c_ard_3-1-0_108084_2020-07-25_final
2020-07-25 11:11:51	ga_ls8c_ard_3-1-0_108085_2020-07-25_final
2020-07-26 10:16:14	ga_ls8c_ard_3-1-0_099085_2020-07-26_final
2020-07-27 09:20:37	ga_ls8c_ard_3-1-0_090085_2020-07-26_final
2020-07-28 10:03:53	ga_ls8c_ard_3-1-0_097085_2020-07-28_final
2020-08-09 10:28:15	ga_ls8c_ard_3-1-0_101084_2020-08-09_final
2020-08-10 09:33:01	ga_ls8c_ard_3-1-0_092085_2020-08-10_final
2020-08-10 11:11:30	ga_ls8c_ard_3-1-0_108084_2020-08-10_final
2020-08-10 11:11:54	ga_ls8c_ard_3-1-0_108085_2020-08-10_final
2020-08-13 10:03:56	ga_ls8c_ard_3-1-0_097085_2020-08-13_final
2020-08-19 09:26:55	ga_ls8c_ard_3-1-0_091085_2020-08-18_final
2020-08-19 11:05:48	ga_ls8c_ard_3-1-0_107085_2020-08-19_final
2020-08-20 10:10:11	ga_ls8c_ard_3-1-0_098085_2020-08-20_final
2020-08-21 09:14:34	ga_ls8c_ard_3-1-0_089085_2020-08-20_final
2020-08-22 09:57:51	ga_ls8c_ard_3-1-0_096085_2020-08-22_final
2020-08-22 11:36:44	ga_ls8c_ard_3-1-0_112085_2020-08-22_final
2020-08-26 09:33:09	ga_ls8c_ard_3-1-0_092085_2020-08-26_final
2020-08-26 11:11:39	ga_ls8c_ard_3-1-0_108084_2020-08-26_final
2020-08-26 11:12:03	ga_ls8c_ard_3-1-0_108085_2020-08-26_final
2020-08-27 10:16:26	ga_ls8c_ard_3-1-0_099085_2020-08-27_final
2020-08-28 09:20:49	ga_ls8c_ard_3-1-0_090085_2020-08-27_final
2020-08-29 10:04:05	ga_ls8c_ard_3-1-0_097085_2020-08-29_final
2020-08-31 09:51:44	ga_ls8c_ard_3-1-0_095085_2020-08-31_final
2020-08-31 11:30:37	ga_ls8c_ard_3-1-0_111085_2020-08-31_final
2020-09-02 09:39:24	ga_ls8c_ard_3-1-0_093085_2020-09-02_final
2020-09-02 11:18:17	ga_ls8c_ard_3-1-0_109085_2020-09-02_final
2020-09-11 09:33:16	ga_ls8c_ard_3-1-0_092085_2020-09-11_final
2020-09-11 11:12:09	ga_ls8c_ard_3-1-0_108085_2020-09-11_final
2020-11-12 11:24:34	ga_ls8c_ard_3-1-0_110085_2020-11-12_final
2020-11-16 09:20:59	ga_ls8c_ard_3-1-0_090085_2020-11-15_final
2023-05-18 10:02:48	ga_ls8c_ard_3-2-1_097084_2023-05-18_final
2023-05-18 10:03:12	ga_ls8c_ard_3-2-1_097085_2023-05-18_final
2023-05-20 09:50:28	ga_ls8c_ard_3-2-1_095084_2023-05-20_final
2023-05-20 09:50:52	ga_ls8c_ard_3-2-1_095085_2023-05-20_final
2023-05-20 11:29:21	ga_ls8c_ard_3-2-1_111084_2023-05-20_final
2023-05-22 09:38:31	ga_ls8c_ard_3-2-1_093085_2023-05-22_final
2023-05-23 10:21:23	ga_ls8c_ard_3-2-1_100084_2023-05-23_final
2023-05-24 09:26:10	ga_ls8c_ard_3-2-1_091085_2023-05-23_final
2023-05-24 11:04:39	ga_ls8c_ard_3-2-1_107084_2023-05-24_final
2023-05-25 10:09:26	ga_ls8c_ard_3-2-1_098085_2023-05-25_final
2023-05-26 09:13:25	ga_ls8c_ard_3-2-1_089084_2023-05-25_final
2023-05-26 09:13:49	ga_ls8c_ard_3-2-1_089085_2023-05-25_final
2023-05-27 09:57:05	ga_ls8c_ard_3-2-1_096085_2023-05-27_final
2023-05-29 09:44:19	ga_ls8c_ard_3-2-1_094084_2023-05-29_final
2023-05-29 09:44:43	ga_ls8c_ard_3-2-1_094085_2023-05-29_final
2023-05-29 11:23:12	ga_ls8c_ard_3-2-1_110084_2023-05-29_final
2023-05-29 11:23:36	ga_ls8c_ard_3-2-1_110085_2023-05-29_final
2023-05-31 09:32:22	ga_ls8c_ard_3-2-1_092085_2023-05-31_final
2023-05-31 11:10:51	ga_ls8c_ard_3-2-1_108084_2023-05-31_final
2023-06-01 10:15:37	ga_ls8c_ard_3-2-1_099085_2023-06-01_final
2023-06-02 09:20:00	ga_ls8c_ard_3-2-1_090085_2023-06-01_final
2023-06-03 10:02:53	ga_ls8c_ard_3-2-1_097084_2023-06-03_final
2023-06-03 10:03:17	ga_ls8c_ard_3-2-1_097085_2023-06-03_final
2023-06-05 09:50:57	ga_ls8c_ard_3-2-1_095085_2023-06-05_final
2023-06-07 09:38:37	ga_ls8c_ard_3-2-1_093085_2023-06-07_final
2023-06-07 11:17:06	ga_ls8c_ard_3-2-1_109084_2023-06-07_final
2023-06-09 09:26:17	ga_ls8c_ard_3-2-1_091085_2023-06-08_final
2023-06-10 10:09:09	ga_ls8c_ard_3-2-1_098084_2023-06-10_final
2023-06-10 10:09:33	ga_ls8c_ard_3-2-1_098085_2023-06-10_final
2023-06-11 09:13:32	ga_ls8c_ard_3-2-1_089084_2023-06-10_final
2023-06-11 09:13:56	ga_ls8c_ard_3-2-1_089085_2023-06-10_final
2023-06-12 09:56:49	ga_ls8c_ard_3-2-1_096084_2023-06-12_final
2023-06-12 09:57:13	ga_ls8c_ard_3-2-1_096085_2023-06-12_final
2023-06-14 11:23:45	ga_ls8c_ard_3-2-1_110085_2023-06-14_final
2023-06-16 09:32:31	ga_ls8c_ard_3-2-1_092085_2023-06-16_final
2023-06-17 10:15:47	ga_ls8c_ard_3-2-1_099085_2023-06-17_final
2023-06-18 09:19:46	ga_ls8c_ard_3-2-1_090084_2023-06-17_final
2023-06-18 09:20:10	ga_ls8c_ard_3-2-1_090085_2023-06-17_final
2023-06-19 10:03:25	ga_ls8c_ard_3-2-1_097085_2023-06-19_final
2023-06-21 09:51:04	ga_ls8c_ard_3-2-1_095085_2023-06-21_final
2023-06-23 09:38:42	ga_ls8c_ard_3-2-1_093085_2023-06-23_final
2023-11-10 10:04:04	ga_ls8c_ard_3-2-1_097085_2023-11-10_final
2023-11-12 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-11-12_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