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
2014-07-28 10:03:28	ga_ls8c_ard_3-0-0_097084_2014-07-28_final
2014-07-28 10:03:52	ga_ls8c_ard_3-0-0_097085_2014-07-28_final
2014-07-28 11:42:21	ga_ls8c_ard_3-0-0_113084_2014-07-28_final
2014-07-30 09:51:08	ga_ls8c_ard_3-0-0_095084_2014-07-30_final
2014-07-30 09:51:32	ga_ls8c_ard_3-0-0_095085_2014-07-30_final
2014-07-30 11:30:01	ga_ls8c_ard_3-0-0_111084_2014-07-30_final
2014-08-13 10:03:36	ga_ls8c_ard_3-0-0_097084_2014-08-13_final
2014-08-13 10:04:00	ga_ls8c_ard_3-0-0_097085_2014-08-13_final
2014-08-13 11:42:30	ga_ls8c_ard_3-0-0_113084_2014-08-13_final
2014-08-15 09:51:15	ga_ls8c_ard_3-0-0_095084_2014-08-15_final
2014-08-15 09:51:39	ga_ls8c_ard_3-0-0_095085_2014-08-15_final
2014-08-15 11:30:08	ga_ls8c_ard_3-0-0_111084_2014-08-15_final
2014-08-29 10:03:37	ga_ls8c_ard_3-0-0_097084_2014-08-29_final
2014-08-29 10:04:01	ga_ls8c_ard_3-0-0_097085_2014-08-29_final
2014-08-29 11:42:31	ga_ls8c_ard_3-0-0_113084_2014-08-29_final
2014-08-31 09:51:17	ga_ls8c_ard_3-0-0_095084_2014-08-31_final
2014-08-31 09:51:41	ga_ls8c_ard_3-0-0_095085_2014-08-31_final
2014-08-31 11:30:10	ga_ls8c_ard_3-0-0_111084_2014-08-31_final
2017-04-10 09:44:55	ga_ls8c_ard_3-0-0_094085_2017-04-10_final
2017-04-10 11:23:24	ga_ls8c_ard_3-0-0_110084_2017-04-10_final
2017-04-10 11:23:48	ga_ls8c_ard_3-0-0_110085_2017-04-10_final
2017-05-28 09:44:35	ga_ls8c_ard_3-0-0_094084_2017-05-28_final
2017-05-28 09:44:59	ga_ls8c_ard_3-0-0_094085_2017-05-28_final
2017-05-28 11:23:28	ga_ls8c_ard_3-0-0_110084_2017-05-28_final
2017-05-28 11:23:52	ga_ls8c_ard_3-0-0_110085_2017-05-28_final
2017-05-29 10:27:51	ga_ls8c_ard_3-0-0_101084_2017-05-29_final
2017-06-16 10:15:37	ga_ls8c_ard_3-0-0_099084_2017-06-16_final
2017-06-16 10:16:01	ga_ls8c_ard_3-0-0_099085_2017-06-16_final
2017-06-17 09:20:00	ga_ls8c_ard_3-0-0_090084_2017-06-16_final
2017-06-17 09:20:24	ga_ls8c_ard_3-0-0_090085_2017-06-16_final
2017-06-17 10:58:53	ga_ls8c_ard_3-0-0_106084_2017-06-17_final
2017-06-18 10:03:16	ga_ls8c_ard_3-0-0_097084_2017-06-18_final
2017-06-18 10:03:40	ga_ls8c_ard_3-0-0_097085_2017-06-18_final
2017-06-18 11:42:09	ga_ls8c_ard_3-0-0_113084_2017-06-18_final
2017-06-19 09:07:39	ga_ls8c_ard_3-0-0_088084_2017-06-18_final
2017-06-20 09:50:55	ga_ls8c_ard_3-0-0_095084_2017-06-20_final
2017-06-20 09:51:19	ga_ls8c_ard_3-0-0_095085_2017-06-20_final
2017-06-20 11:29:48	ga_ls8c_ard_3-0-0_111084_2017-06-20_final
2017-06-20 11:30:12	ga_ls8c_ard_3-0-0_111085_2017-06-20_final
2017-06-29 09:44:47	ga_ls8c_ard_3-0-0_094084_2017-06-29_final
2017-06-29 09:45:11	ga_ls8c_ard_3-0-0_094085_2017-06-29_final
2017-06-29 11:23:40	ga_ls8c_ard_3-0-0_110084_2017-06-29_final
2017-06-29 11:24:04	ga_ls8c_ard_3-0-0_110085_2017-06-29_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 09:32:50	ga_ls8c_ard_3-0-0_092085_2017-07-01_final
2017-07-01 11:11:19	ga_ls8c_ard_3-0-0_108084_2017-07-01_final
2017-07-01 11:11:43	ga_ls8c_ard_3-0-0_108085_2017-07-01_final
2017-07-02 10:15:42	ga_ls8c_ard_3-0-0_099084_2017-07-02_final
2017-07-02 10:16:06	ga_ls8c_ard_3-0-0_099085_2017-07-02_final
2017-07-03 09:20:04	ga_ls8c_ard_3-0-0_090084_2017-07-02_final
2017-07-03 09:20:28	ga_ls8c_ard_3-0-0_090085_2017-07-02_final
2017-07-03 10:58:57	ga_ls8c_ard_3-0-0_106084_2017-07-03_final
2017-07-08 09:38:38	ga_ls8c_ard_3-0-0_093084_2017-07-08_final
2017-07-08 09:39:02	ga_ls8c_ard_3-0-0_093085_2017-07-08_final
2017-07-08 11:17:31	ga_ls8c_ard_3-0-0_109084_2017-07-08_final
2017-07-08 11:17:55	ga_ls8c_ard_3-0-0_109085_2017-07-08_final
2017-07-09 10:21:54	ga_ls8c_ard_3-0-0_100084_2017-07-09_final
2017-07-09 10:22:17	ga_ls8c_ard_3-0-0_100085_2017-07-09_final
2017-07-15 09:44:50	ga_ls8c_ard_3-0-0_094084_2017-07-15_final
2017-07-15 09:45:14	ga_ls8c_ard_3-0-0_094085_2017-07-15_final
2017-07-15 11:23:43	ga_ls8c_ard_3-0-0_110084_2017-07-15_final
2017-07-15 11:24:07	ga_ls8c_ard_3-0-0_110085_2017-07-15_final
2017-07-16 10:28:06	ga_ls8c_ard_3-0-0_101084_2017-07-16_final
2017-08-03 10:15:53	ga_ls8c_ard_3-0-0_099084_2017-08-03_final
2017-08-03 10:16:17	ga_ls8c_ard_3-0-0_099085_2017-08-03_final
2017-08-04 09:20:16	ga_ls8c_ard_3-0-0_090084_2017-08-03_final
2017-08-04 09:20:40	ga_ls8c_ard_3-0-0_090085_2017-08-03_final
2017-08-04 10:59:09	ga_ls8c_ard_3-0-0_106084_2017-08-04_final
2017-08-05 10:03:33	ga_ls8c_ard_3-0-0_097084_2017-08-05_final
2017-08-05 10:03:57	ga_ls8c_ard_3-0-0_097085_2017-08-05_final
2017-08-05 11:42:26	ga_ls8c_ard_3-0-0_113084_2017-08-05_final
2017-08-06 09:07:56	ga_ls8c_ard_3-0-0_088084_2017-08-05_final
2017-08-07 09:51:12	ga_ls8c_ard_3-0-0_095084_2017-08-07_final
2017-08-07 09:51:36	ga_ls8c_ard_3-0-0_095085_2017-08-07_final
2017-08-07 11:30:05	ga_ls8c_ard_3-0-0_111084_2017-08-07_final
2017-08-07 11:30:29	ga_ls8c_ard_3-0-0_111085_2017-08-07_final
2017-08-20 09:20:22	ga_ls8c_ard_3-0-0_090084_2017-08-19_final
2017-08-20 09:20:46	ga_ls8c_ard_3-0-0_090085_2017-08-19_final
2017-08-21 10:03:38	ga_ls8c_ard_3-0-0_097084_2017-08-21_final
2017-08-22 09:08:01	ga_ls8c_ard_3-0-0_088084_2017-08-21_final
2017-08-23 09:51:16	ga_ls8c_ard_3-0-0_095084_2017-08-23_final
2017-08-23 09:51:40	ga_ls8c_ard_3-0-0_095085_2017-08-23_final
2017-08-23 11:30:09	ga_ls8c_ard_3-0-0_111084_2017-08-23_final
2017-08-23 11:30:33	ga_ls8c_ard_3-0-0_111085_2017-08-23_final
2022-10-22 10:04:09	ga_ls8c_ard_3-2-1_097084_2022-10-22_final
2022-10-22 10:04:32	ga_ls8c_ard_3-2-1_097085_2022-10-22_final
2022-10-22 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-22_final
2022-10-24 09:51:48	ga_ls8c_ard_3-2-1_095084_2022-10-24_final
2022-10-24 09:52:12	ga_ls8c_ard_3-2-1_095085_2022-10-24_final
2022-10-24 11:30:41	ga_ls8c_ard_3-2-1_111084_2022-10-24_final
2022-10-26 09:39:27	ga_ls8c_ard_3-2-1_093084_2022-10-26_final
2022-10-26 09:39:51	ga_ls8c_ard_3-2-1_093085_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 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-10-28 11:05:59	ga_ls8c_ard_3-2-1_107084_2022-10-28_final
2022-10-29 10:10:22	ga_ls8c_ard_3-2-1_098084_2022-10-29_final
2022-10-29 10:10:46	ga_ls8c_ard_3-2-1_098085_2022-10-29_final
2022-10-30 09:14:45	ga_ls8c_ard_3-2-1_089084_2022-10-29_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