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
2013-04-03 09:53:24	ga_ls8c_ard_3-0-0_095085_2013-04-03_final
2013-04-06 10:10:41	ga_ls8c_ard_3-0-0_098085_2013-04-06_final
2013-05-17 09:47:24	ga_ls8c_ard_3-0-0_094085_2013-05-17_final
2013-05-19 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-05-19_final
2013-05-21 09:22:43	ga_ls8c_ard_3-0-0_090085_2013-05-20_final
2013-06-25 09:53:31	ga_ls8c_ard_3-0-0_095085_2013-06-25_final
2013-06-27 09:41:11	ga_ls8c_ard_3-0-0_093085_2013-06-27_final
2013-06-28 10:24:03	ga_ls8c_ard_3-0-0_100084_2013-06-28_final
2013-06-29 09:28:50	ga_ls8c_ard_3-0-0_091085_2013-06-28_final
2013-06-29 11:07:19	ga_ls8c_ard_3-0-0_107084_2013-06-29_final
2013-06-30 10:12:06	ga_ls8c_ard_3-0-0_098085_2013-06-30_final
2013-07-01 09:16:05	ga_ls8c_ard_3-0-0_089084_2013-06-30_final
2013-07-01 09:16:29	ga_ls8c_ard_3-0-0_089085_2013-06-30_final
2013-08-05 09:47:25	ga_ls8c_ard_3-0-0_094085_2013-08-05_final
2013-08-07 09:35:04	ga_ls8c_ard_3-0-0_092085_2013-08-07_final
2013-08-21 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-08-21_final
2013-08-21 11:25:56	ga_ls8c_ard_3-0-0_110084_2013-08-21_final
2013-08-23 09:35:06	ga_ls8c_ard_3-0-0_092085_2013-08-23_final
2013-09-18 10:12:05	ga_ls8c_ard_3-0-0_098085_2013-09-18_final
2013-09-19 09:16:03	ga_ls8c_ard_3-0-0_089084_2013-09-18_final
2013-09-19 09:16:27	ga_ls8c_ard_3-0-0_089085_2013-09-18_final
2013-09-22 09:47:20	ga_ls8c_ard_3-1-0_094085_2013-09-22_final
2013-09-24 09:34:57	ga_ls8c_ard_3-0-0_092085_2013-09-24_final
2013-09-26 09:22:34	ga_ls8c_ard_3-0-0_090085_2013-09-25_final
2013-11-02 09:40:58	ga_ls8c_ard_3-0-0_093085_2013-11-02_final
2013-11-02 11:19:27	ga_ls8c_ard_3-0-0_109084_2013-11-02_final
2013-11-04 09:28:37	ga_ls8c_ard_3-0-0_091085_2013-11-03_final
2013-11-05 10:11:53	ga_ls8c_ard_3-0-0_098085_2013-11-05_final
2013-11-06 09:16:15	ga_ls8c_ard_3-0-0_089085_2013-11-05_final
2017-03-25 09:45:02	ga_ls8c_ard_3-0-0_094085_2017-03-25_final
2017-03-25 11:23:55	ga_ls8c_ard_3-0-0_110085_2017-03-25_final
2017-03-27 09:32:39	ga_ls8c_ard_3-0-0_092085_2017-03-27_final
2017-03-27 11:11:32	ga_ls8c_ard_3-0-0_108085_2017-03-27_final
2017-03-28 10:15:55	ga_ls8c_ard_3-0-0_099085_2017-03-28_final
2017-03-29 09:20:17	ga_ls8c_ard_3-0-0_090085_2017-03-28_final
2017-05-02 09:07:12	ga_ls8c_ard_3-0-0_088084_2017-05-01_final
2017-05-03 09:50:28	ga_ls8c_ard_3-0-0_095084_2017-05-03_final
2017-05-03 09:50:52	ga_ls8c_ard_3-0-0_095085_2017-05-03_final
2017-05-03 11:29:21	ga_ls8c_ard_3-0-0_111084_2017-05-03_final
2017-05-03 11:29:45	ga_ls8c_ard_3-0-0_111085_2017-05-03_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 09:32:50	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 09:20:28	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
2018-02-27 10:16:02	ga_ls8c_ard_3-0-0_099085_2018-02-27_final
2018-02-28 09:20:24	ga_ls8c_ard_3-0-0_090085_2018-02-27_final
2018-03-01 10:03:39	ga_ls8c_ard_3-0-0_097085_2018-03-01_final
2018-03-03 09:51:17	ga_ls8c_ard_3-0-0_095085_2018-03-03_final
2018-03-03 11:29:46	ga_ls8c_ard_3-0-0_111084_2018-03-03_final
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
2018-03-15 10:15:53	ga_ls8c_ard_3-0-0_099085_2018-03-15_final
2018-03-16 09:20:15	ga_ls8c_ard_3-0-0_090085_2018-03-15_final
2018-03-17 10:03:30	ga_ls8c_ard_3-0-0_097085_2018-03-17_final
2018-03-19 09:51:08	ga_ls8c_ard_3-0-0_095085_2018-03-19_final
2018-03-19 11:30:01	ga_ls8c_ard_3-0-0_111085_2018-03-19_final
2018-04-22 09:38:29	ga_ls8c_ard_3-0-0_093085_2018-04-22_final
2018-04-22 11:17:22	ga_ls8c_ard_3-0-0_109085_2018-04-22_final
2018-04-23 10:21:44	ga_ls8c_ard_3-0-0_100085_2018-04-23_final
2018-04-24 09:26:06	ga_ls8c_ard_3-0-0_091085_2018-04-23_final
2018-04-24 11:04:59	ga_ls8c_ard_3-0-0_107085_2018-04-24_final
2018-05-18 10:15:17	ga_ls8c_ard_3-0-0_099085_2018-05-18_final
2018-05-19 09:19:39	ga_ls8c_ard_3-0-0_090085_2018-05-18_final
2018-05-20 10:02:54	ga_ls8c_ard_3-0-0_097085_2018-05-20_final
2018-05-22 09:50:31	ga_ls8c_ard_3-0-0_095085_2018-05-22_final
2018-05-22 11:29:24	ga_ls8c_ard_3-0-0_111085_2018-05-22_final
2018-06-22 09:06:54	ga_ls8c_ard_3-1-0_088084_2018-06-21_final
2018-06-23 09:50:10	ga_ls8c_ard_3-0-0_095084_2018-06-23_final
2018-06-23 09:50:34	ga_ls8c_ard_3-0-0_095085_2018-06-23_final
2018-06-23 11:29:03	ga_ls8c_ard_3-0-0_111084_2018-06-23_final
2018-06-23 11:29:27	ga_ls8c_ard_3-0-0_111085_2018-06-23_final
2018-07-05 10:15:00	ga_ls8c_ard_3-0-0_099084_2018-07-05_final
2018-07-05 10:15:24	ga_ls8c_ard_3-0-0_099085_2018-07-05_final
2018-07-06 09:19:23	ga_ls8c_ard_3-0-0_090084_2018-07-05_final
2018-07-06 09:19:47	ga_ls8c_ard_3-0-0_090085_2018-07-05_final
2018-07-06 10:58:16	ga_ls8c_ard_3-0-0_106084_2018-07-06_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
2018-07-22 09:19:54	ga_ls8c_ard_3-0-0_090085_2018-07-21_final
2018-07-22 10:58:23	ga_ls8c_ard_3-0-0_106084_2018-07-22_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 09:52:12	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 09:39:51	ga_ls8c_ard_3-2-1_093085_2022-10-26_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 10:10:46	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