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
2021-04-05 11:22:51	ga_ls8c_ard_3-2-0_110082_2021-04-05_final
2021-05-17 10:16:55	ga_ls8c_ard_3-2-0_100072_2021-05-17_final
2021-05-19 11:44:15	ga_ls8c_ard_3-2-0_114074_2021-05-19_final
2021-05-21 11:35:30	ga_ls8c_ard_3-2-0_112083_2021-05-21_final
2021-05-27 10:54:29	ga_ls8c_ard_3-2-0_106073_2021-05-27_final
2021-05-28 09:57:17	ga_ls8c_ard_3-2-0_097069_2021-05-28_final
2021-05-28 10:01:16	ga_ls8c_ard_3-2-0_097079_2021-05-28_final
2021-06-01 09:37:47	ga_ls8c_ard_3-2-0_093082_2021-06-01_final
2021-06-03 11:03:07	ga_ls8c_ard_3-2-0_107079_2021-06-03_final
2021-06-04 10:09:54	ga_ls8c_ard_3-2-0_098085_2021-06-04_final
2021-06-05 10:45:59	ga_ls8c_ard_3-2-0_105067_2021-06-05_final
2021-06-06 09:52:46	ga_ls8c_ard_3-2-0_096073_2021-06-06_final
2021-06-13 11:40:40	ga_ls8c_ard_3-2-0_113080_2021-06-13_final
2021-06-18 10:19:57	ga_ls8c_ard_3-2-0_100079_2021-06-18_final
2021-06-21 09:12:47	ga_ls8c_ard_3-2-0_089081_2021-06-20_final
2021-06-21 10:46:52	ga_ls8c_ard_3-2-0_105069_2021-06-21_final
2021-06-22 11:35:43	ga_ls8c_ard_3-2-0_112083_2021-06-22_final
2021-06-28 09:18:59	ga_ls8c_ard_3-2-0_090081_2021-06-27_final
2021-07-02 10:30:45	ga_ls8c_ard_3-2-0_102075_2021-07-02_final
2021-07-06 10:06:51	ga_ls8c_ard_3-2-0_098077_2021-07-06_final
2021-07-10 11:20:37	ga_ls8c_ard_3-2-0_110076_2021-07-10_final
2021-07-12 09:29:22	ga_ls8c_ard_3-2-0_092076_2021-07-11_final
2021-07-14 10:53:54	ga_ls8c_ard_3-2-0_106071_2021-07-14_final
2021-07-14 10:55:06	ga_ls8c_ard_3-2-0_106074_2021-07-14_final
2021-07-14 10:57:05	ga_ls8c_ard_3-2-0_106079_2021-07-14_final
2021-07-15 10:02:16	ga_ls8c_ard_3-2-0_097081_2021-07-15_final
2021-07-18 10:30:48	ga_ls8c_ard_3-2-0_102075_2021-07-18_final
2021-07-21 10:59:44	ga_ls8c_ard_3-2-0_107070_2021-07-21_final
2021-07-30 09:18:20	ga_ls8c_ard_3-2-0_090079_2021-07-29_final
2021-07-30 09:20:44	ga_ls8c_ard_3-2-0_090085_2021-07-29_final
2021-08-04 09:38:31	ga_ls8c_ard_3-2-0_093083_2021-08-04_final
2021-08-05 10:17:23	ga_ls8c_ard_3-2-0_100072_2021-08-05_final
2021-08-06 09:24:34	ga_ls8c_ard_3-2-0_091079_2021-08-05_final
2021-08-07 10:07:02	ga_ls8c_ard_3-2-0_098077_2021-08-07_final
2021-08-08 10:48:19	ga_ls8c_ard_3-2-0_105072_2021-08-08_final
2021-08-08 10:51:54	ga_ls8c_ard_3-2-0_105081_2021-08-08_final
2021-08-11 11:23:13	ga_ls8c_ard_3-2-0_110082_2021-08-11_final
2021-08-13 09:29:36	ga_ls8c_ard_3-2-0_092076_2021-08-12_final
2021-08-15 10:54:08	ga_ls8c_ard_3-2-0_106071_2021-08-15_final
2021-08-16 11:42:11	ga_ls8c_ard_3-2-0_113083_2021-08-16_final
2021-08-17 10:46:10	ga_ls8c_ard_3-2-0_104082_2021-08-17_final
2021-08-19 10:28:38	ga_ls8c_ard_3-2-0_102069_2021-08-19_final
2021-08-22 09:25:27	ga_ls8c_ard_3-2-0_091081_2021-08-21_final
2021-08-23 10:08:19	ga_ls8c_ard_3-2-0_098080_2021-08-23_final
2021-08-25 11:36:27	ga_ls8c_ard_3-2-0_112084_2021-08-25_final
2021-09-05 09:37:29	ga_ls8c_ard_3-2-0_093080_2021-09-05_final
2021-09-05 09:38:41	ga_ls8c_ard_3-2-0_093083_2021-09-05_final
2021-09-05 09:39:05	ga_ls8c_ard_3-2-0_093084_2021-09-05_final
2021-09-06 10:17:33	ga_ls8c_ard_3-2-0_100072_2021-09-06_final
2021-09-13 10:26:09	ga_ls8c_ard_3-2-0_101078_2021-09-13_final
2021-09-14 09:32:56	ga_ls8c_ard_3-2-0_092084_2021-09-14_final
2021-09-18 10:46:18	ga_ls8c_ard_3-2-0_104082_2021-09-18_final
2021-09-23 09:23:59	ga_ls8c_ard_3-2-0_091077_2021-09-22_final
2021-10-01 11:51:10	ga_ls8c_ard_3-2-0_115074_2021-10-01_final
2021-10-02 10:54:21	ga_ls8c_ard_3-2-0_106071_2021-10-02_final
2021-10-07 09:36:50	ga_ls8c_ard_3-2-0_093078_2021-10-07_final
2021-10-09 09:25:16	ga_ls8c_ard_3-2-0_091080_2021-10-08_final
2021-10-12 09:52:12	ga_ls8c_ard_3-2-0_096070_2021-10-12_final
2021-10-17 11:52:26	ga_ls8c_ard_3-2-0_115077_2021-10-17_final
2021-10-22 10:30:54	ga_ls8c_ard_3-2-0_102074_2021-10-22_final
2021-10-24 10:19:20	ga_ls8c_ard_3-2-0_100076_2021-10-24_final
2021-10-27 10:48:38	ga_ls8c_ard_3-2-0_105072_2021-10-27_final
2021-10-28 09:53:01	ga_ls8c_ard_3-2-0_096072_2021-10-28_final
2021-11-04 09:59:35	ga_ls8c_ard_3-2-0_097073_2021-11-04_final
2021-11-05 10:42:50	ga_ls8c_ard_3-2-0_104073_2021-11-05_final
2021-11-11 11:46:12	ga_ls8c_ard_3-2-0_114077_2021-11-11_final
2021-11-29 11:32:14	ga_ls8c_ard_3-2-0_112073_2021-11-29_final
2021-11-30 10:35:01	ga_ls8c_ard_3-2-0_103069_2021-11-30_final
2021-12-01 09:43:47	ga_ls8c_ard_3-2-0_094080_2021-12-01_final
2021-12-03 09:31:01	ga_ls8c_ard_3-2-0_092079_2021-12-03_final
2021-12-04 11:51:58	ga_ls8c_ard_3-2-0_115076_2021-12-04_final
2021-12-05 10:57:56	ga_ls8c_ard_3-2-1_106080_2021-12-05_final
2021-12-06 10:02:19	ga_ls8c_ard_3-2-1_097080_2021-12-06_final
2021-12-15 11:35:48	ga_ls8c_ard_3-2-1_112082_2021-12-15_final
2021-12-19 09:30:11	ga_ls8c_ard_3-2-1_092077_2021-12-19_final
2021-12-19 09:31:47	ga_ls8c_ard_3-2-1_092081_2021-12-19_final
2021-12-26 09:40:43	ga_ls8c_ard_3-2-1_093088_2021-12-26_final
2021-12-27 10:18:23	ga_ls8c_ard_3-2-1_100074_2021-12-27_final
2021-12-31 09:57:37	ga_ls8c_ard_3-2-1_096084_2021-12-31_final
2022-01-01 10:36:53	ga_ls8c_ard_3-2-1_103074_2022-01-01_final
2022-01-02 11:18:33	ga_ls8c_ard_3-2-1_110070_2022-01-02_final
2022-01-04 11:08:35	ga_ls8c_ard_3-2-1_108076_2022-01-04_final
2022-01-07 10:02:12	ga_ls8c_ard_3-2-1_097080_2022-01-07_final
2022-01-14 11:44:51	ga_ls8c_ard_3-2-1_114074_2022-01-14_final
2022-01-14 11:46:51	ga_ls8c_ard_3-2-1_114079_2022-01-14_final
2022-01-20 11:10:32	ga_ls8c_ard_3-2-1_108081_2022-01-20_final
2022-01-22 10:57:22	ga_ls8c_ard_3-2-1_106079_2022-01-22_final
2022-01-23 10:01:20	ga_ls8c_ard_3-2-1_097078_2022-01-23_final
2022-01-25 11:26:39	ga_ls8c_ard_3-2-1_111075_2022-01-25_final
2022-01-30 11:44:46	ga_ls8c_ard_3-2-1_114074_2022-01-30_final
2022-02-09 10:44:08	ga_ls8c_ard_3-2-1_104077_2022-02-09_final
2022-02-11 10:33:46	ga_ls8c_ard_3-2-1_102082_2022-02-11_final
2022-02-14 11:02:39	ga_ls8c_ard_3-2-1_107077_2022-02-14_final
2022-02-19 11:20:44	ga_ls8c_ard_3-2-1_110076_2022-02-19_final
2022-02-19 11:23:56	ga_ls8c_ard_3-2-1_110084_2022-02-19_final
2022-03-01 10:17:43	ga_ls8c_ard_3-2-1_100073_2022-03-01_final
2022-03-02 09:25:41	ga_ls8c_ard_3-2-1_091082_2022-03-01_final
2022-03-02 11:00:35	ga_ls8c_ard_3-2-1_107072_2022-03-02_final
2022-03-03 11:46:14	ga_ls8c_ard_3-2-1_114078_2022-03-03_final
2022-03-03 11:47:26	ga_ls8c_ard_3-2-1_114081_2022-03-03_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years