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
2015-09-26 09:57:22	ga_ls8c_ard_3-0-0_096084_2015-09-26_final
2015-09-26 09:57:46	ga_ls8c_ard_3-0-0_096085_2015-09-26_final
2015-09-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2015-09-26_final
2015-09-28 09:45:25	ga_ls8c_ard_3-0-0_094085_2015-09-28_final
2015-09-28 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-09-28_final
2015-09-29 10:28:17	ga_ls8c_ard_3-0-0_101084_2015-09-29_final
2015-11-13 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-11-13_final
2015-11-13 11:36:45	ga_ls8c_ard_3-0-0_112085_2015-11-13_final
2015-11-15 09:45:07	ga_ls8c_ard_3-0-0_094084_2015-11-15_final
2015-11-15 09:45:31	ga_ls8c_ard_3-0-0_094085_2015-11-15_final
2015-11-15 11:24:01	ga_ls8c_ard_3-0-0_110084_2015-11-15_final
2015-11-15 11:24:24	ga_ls8c_ard_3-0-0_110085_2015-11-15_final
2018-06-02 09:31:50	ga_ls8c_ard_3-0-0_092085_2018-06-02_final
2018-06-02 11:10:19	ga_ls8c_ard_3-0-0_108084_2018-06-02_final
2018-06-02 11:10:43	ga_ls8c_ard_3-0-0_108085_2018-06-02_final
2018-06-03 10:14:42	ga_ls8c_ard_3-0-0_099084_2018-06-03_final
2018-06-03 10:15:06	ga_ls8c_ard_3-0-0_099085_2018-06-03_final
2018-06-04 09:19:04	ga_ls8c_ard_3-0-0_090084_2018-06-03_final
2018-06-04 09:19:28	ga_ls8c_ard_3-0-0_090085_2018-06-03_final
2018-07-07 10:02:40	ga_ls8c_ard_3-0-0_097084_2018-07-07_final
2018-07-07 10:03:03	ga_ls8c_ard_3-0-0_097085_2018-07-07_final
2018-07-07 11:41:33	ga_ls8c_ard_3-0-0_113084_2018-07-07_final
2018-07-08 09:07:03	ga_ls8c_ard_3-0-0_088084_2018-07-07_final
2018-08-05 09:32:23	ga_ls8c_ard_3-0-0_092085_2018-08-05_final
2018-08-05 11:10:52	ga_ls8c_ard_3-0-0_108084_2018-08-05_final
2018-08-05 11:11:16	ga_ls8c_ard_3-0-0_108085_2018-08-05_final
2018-08-06 10:15:40	ga_ls8c_ard_3-0-0_099085_2018-08-06_final
2018-08-07 09:20:03	ga_ls8c_ard_3-0-0_090085_2018-08-06_final
2018-08-07 10:58:32	ga_ls8c_ard_3-0-0_106084_2018-08-07_final
2018-08-08 10:03:19	ga_ls8c_ard_3-0-0_097085_2018-08-08_final
2018-08-08 11:41:48	ga_ls8c_ard_3-0-0_113084_2018-08-08_final
2018-08-09 09:07:18	ga_ls8c_ard_3-0-0_088084_2018-08-08_final
2020-03-29 10:09:52	ga_ls8c_ard_3-1-0_098085_2020-03-29_final
2020-03-30 09:14:14	ga_ls8c_ard_3-1-0_089085_2020-03-29_final
2020-03-31 09:57:29	ga_ls8c_ard_3-1-0_096085_2020-03-31_final
2020-03-31 11:36:22	ga_ls8c_ard_3-1-0_112085_2020-03-31_final
2020-04-21 10:15:52	ga_ls8c_ard_3-1-0_099085_2020-04-21_final
2020-04-22 09:20:14	ga_ls8c_ard_3-1-0_090085_2020-04-21_final
2020-04-23 10:03:29	ga_ls8c_ard_3-1-0_097085_2020-04-23_final
2020-06-01 10:09:38	ga_ls8c_ard_3-1-0_098085_2020-06-01_final
2020-06-02 09:13:37	ga_ls8c_ard_3-1-0_089084_2020-06-01_final
2020-06-02 09:14:01	ga_ls8c_ard_3-1-0_089085_2020-06-01_final
2020-06-03 09:56:54	ga_ls8c_ard_3-1-0_096084_2020-06-03_final
2020-06-03 09:57:18	ga_ls8c_ard_3-1-0_096085_2020-06-03_final
2020-06-03 11:36:11	ga_ls8c_ard_3-1-0_112085_2020-06-03_final
2020-06-05 09:44:57	ga_ls8c_ard_3-1-0_094085_2020-06-05_final
2020-06-05 11:23:26	ga_ls8c_ard_3-1-0_110084_2020-06-05_final
2020-06-05 11:23:50	ga_ls8c_ard_3-1-0_110085_2020-06-05_final
2020-06-06 10:27:50	ga_ls8c_ard_3-1-0_101084_2020-06-06_final
2020-06-07 09:32:37	ga_ls8c_ard_3-1-0_092085_2020-06-07_final
2020-06-07 11:11:30	ga_ls8c_ard_3-1-0_108085_2020-06-07_final
2020-06-08 10:15:29	ga_ls8c_ard_3-1-0_099084_2020-06-08_final
2020-06-08 10:15:53	ga_ls8c_ard_3-1-0_099085_2020-06-08_final
2020-06-09 09:19:53	ga_ls8c_ard_3-1-0_090084_2020-06-08_final
2020-06-09 09:20:17	ga_ls8c_ard_3-1-0_090085_2020-06-08_final
2021-08-20 11:17:53	ga_ls8c_ard_3-2-0_109084_2021-08-20_final
2021-08-20 11:18:17	ga_ls8c_ard_3-2-0_109085_2021-08-20_final
2021-08-21 10:22:40	ga_ls8c_ard_3-2-0_100085_2021-08-21_final
2021-08-22 09:26:39	ga_ls8c_ard_3-2-0_091084_2021-08-21_final
2021-08-22 09:27:03	ga_ls8c_ard_3-2-0_091085_2021-08-21_final
2021-08-22 11:05:56	ga_ls8c_ard_3-2-0_107085_2021-08-22_final
2021-08-23 10:09:55	ga_ls8c_ard_3-2-0_098084_2021-08-23_final
2021-08-23 10:10:19	ga_ls8c_ard_3-2-0_098085_2021-08-23_final
2021-08-24 09:14:42	ga_ls8c_ard_3-2-0_089085_2021-08-23_final
2021-08-25 09:57:58	ga_ls8c_ard_3-2-0_096085_2021-08-25_final
2021-08-25 11:36:51	ga_ls8c_ard_3-2-0_112085_2021-08-25_final
2021-08-27 09:45:36	ga_ls8c_ard_3-2-0_094085_2021-08-27_final
2021-08-27 11:24:30	ga_ls8c_ard_3-2-0_110085_2021-08-27_final
2021-08-29 09:33:16	ga_ls8c_ard_3-2-0_092085_2021-08-29_final
2021-08-29 11:11:45	ga_ls8c_ard_3-2-0_108084_2021-08-29_final
2021-08-29 11:12:09	ga_ls8c_ard_3-2-0_108085_2021-08-29_final
2021-08-30 10:16:08	ga_ls8c_ard_3-2-0_099084_2021-08-30_final
2021-08-30 10:16:32	ga_ls8c_ard_3-2-0_099085_2021-08-30_final
2021-10-03 10:03:55	ga_ls8c_ard_3-2-0_097084_2021-10-03_final
2021-10-03 10:04:19	ga_ls8c_ard_3-2-0_097085_2021-10-03_final
2021-10-03 11:42:48	ga_ls8c_ard_3-2-0_113084_2021-10-03_final
2021-10-04 09:08:18	ga_ls8c_ard_3-2-0_088084_2021-10-03_final
2021-10-05 09:51:58	ga_ls8c_ard_3-2-0_095085_2021-10-05_final
2021-10-05 11:30:27	ga_ls8c_ard_3-2-0_111084_2021-10-05_final
2021-10-05 11:30:51	ga_ls8c_ard_3-2-0_111085_2021-10-05_final
2021-10-07 09:39:37	ga_ls8c_ard_3-2-0_093085_2021-10-07_final
2021-10-07 11:18:30	ga_ls8c_ard_3-2-0_109085_2021-10-07_final
2021-10-10 10:10:08	ga_ls8c_ard_3-2-0_098084_2021-10-10_final
2021-10-10 10:10:32	ga_ls8c_ard_3-2-0_098085_2021-10-10_final
2021-10-11 09:14:55	ga_ls8c_ard_3-2-0_089085_2021-10-10_final
2021-10-19 10:04:23	ga_ls8c_ard_3-2-0_097085_2021-10-19_final
2021-10-19 11:42:52	ga_ls8c_ard_3-2-0_113084_2021-10-19_final
2021-10-20 09:08:22	ga_ls8c_ard_3-2-0_088084_2021-10-19_final
2021-10-21 09:52:01	ga_ls8c_ard_3-2-0_095085_2021-10-21_final
2021-10-21 11:30:54	ga_ls8c_ard_3-2-0_111085_2021-10-21_final
2021-10-23 09:39:16	ga_ls8c_ard_3-2-0_093084_2021-10-23_final
2021-10-23 09:39:40	ga_ls8c_ard_3-2-0_093085_2021-10-23_final
2021-10-23 11:18:33	ga_ls8c_ard_3-2-0_109085_2021-10-23_final
2021-10-24 10:22:56	ga_ls8c_ard_3-2-0_100085_2021-10-24_final
2021-10-25 09:27:18	ga_ls8c_ard_3-2-0_091085_2021-10-24_final
2021-10-25 11:06:11	ga_ls8c_ard_3-2-0_107085_2021-10-25_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-06-05 10:22:09	ga_ls8c_ard_3-2-1_100084_2022-06-05_final
2022-06-06 09:26:56	ga_ls8c_ard_3-2-1_091085_2022-06-05_final
2022-06-07 10:10:13	ga_ls8c_ard_3-2-1_098085_2022-06-07_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