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
2020-09-17 10:29:55	ga_ls8c_ard_3-1-0_102072_2020-09-17_final
2020-09-17 10:30:19	ga_ls8c_ard_3-1-0_102073_2020-09-17_final
2020-09-18 09:34:18	ga_ls8c_ard_3-1-0_093072_2020-09-18_final
2020-09-18 09:34:42	ga_ls8c_ard_3-1-0_093073_2020-09-18_final
2020-09-18 11:13:11	ga_ls8c_ard_3-1-0_109072_2020-09-18_final
2020-09-18 11:13:35	ga_ls8c_ard_3-1-0_109073_2020-09-18_final
2020-09-19 10:17:34	ga_ls8c_ard_3-1-0_100072_2020-09-19_final
2020-09-19 10:17:58	ga_ls8c_ard_3-1-0_100073_2020-09-19_final
2020-10-01 10:42:20	ga_ls8c_ard_3-1-0_104072_2020-10-01_final
2020-10-01 10:42:44	ga_ls8c_ard_3-1-0_104073_2020-10-01_final
2020-10-02 09:47:07	ga_ls8c_ard_3-1-0_095073_2020-10-02_final
2020-10-02 11:25:36	ga_ls8c_ard_3-1-0_111072_2020-10-02_final
2020-10-02 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-10-02_final
2020-10-03 10:29:59	ga_ls8c_ard_3-1-0_102072_2020-10-03_final
2020-10-03 10:30:23	ga_ls8c_ard_3-1-0_102073_2020-10-03_final
2020-10-17 10:42:22	ga_ls8c_ard_3-1-0_104072_2020-10-17_final
2020-10-17 10:42:46	ga_ls8c_ard_3-1-0_104073_2020-10-17_final
2020-10-18 09:46:44	ga_ls8c_ard_3-1-0_095072_2020-10-18_final
2020-10-18 09:47:08	ga_ls8c_ard_3-1-0_095073_2020-10-18_final
2020-10-18 11:25:37	ga_ls8c_ard_3-1-0_111072_2020-10-18_final
2020-10-18 11:26:01	ga_ls8c_ard_3-1-0_111073_2020-10-18_final
2020-10-19 10:30:00	ga_ls8c_ard_3-1-0_102072_2020-10-19_final
2020-10-19 10:30:24	ga_ls8c_ard_3-1-0_102073_2020-10-19_final
2020-11-27 10:36:11	ga_ls8c_ard_3-1-0_103072_2020-11-27_final
2020-11-27 10:36:35	ga_ls8c_ard_3-1-0_103073_2020-11-27_final
2020-11-28 09:40:58	ga_ls8c_ard_3-1-0_094073_2020-11-28_final
2020-11-28 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-11-28_final
2020-11-29 10:24:14	ga_ls8c_ard_3-1-0_101073_2020-11-29_final
2021-01-02 11:50:41	ga_ls8c_ard_3-2-0_115073_2021-01-02_final
2021-01-03 10:55:03	ga_ls8c_ard_3-2-0_106073_2021-01-03_final
2021-01-04 09:59:25	ga_ls8c_ard_3-2-0_097073_2021-01-04_final
2021-01-04 11:38:18	ga_ls8c_ard_3-2-0_113073_2021-01-04_final
2021-01-05 10:42:17	ga_ls8c_ard_3-2-0_104072_2021-01-05_final
2021-01-05 10:42:41	ga_ls8c_ard_3-2-0_104073_2021-01-05_final
2021-01-06 09:46:39	ga_ls8c_ard_3-2-0_095072_2021-01-06_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 11:25:56	ga_ls8c_ard_3-2-0_111073_2021-01-06_final
2021-01-07 10:30:18	ga_ls8c_ard_3-2-0_102073_2021-01-07_final
2021-01-14 10:36:26	ga_ls8c_ard_3-2-0_103073_2021-01-14_final
2021-01-15 09:40:24	ga_ls8c_ard_3-2-0_094072_2021-01-15_final
2021-01-15 09:40:48	ga_ls8c_ard_3-2-0_094073_2021-01-15_final
2021-01-15 11:19:41	ga_ls8c_ard_3-2-0_110073_2021-01-15_final
2021-01-31 11:19:14	ga_ls8c_ard_3-2-0_110072_2021-01-31_final
2021-01-31 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-01-31_final
2021-02-01 10:24:01	ga_ls8c_ard_3-2-0_101073_2021-02-01_final
2021-02-02 09:28:23	ga_ls8c_ard_3-2-0_092073_2021-02-01_final
2021-02-02 11:07:16	ga_ls8c_ard_3-2-0_108073_2021-02-02_final
2021-02-03 10:11:39	ga_ls8c_ard_3-2-0_099073_2021-02-03_final
2021-02-09 11:13:26	ga_ls8c_ard_3-2-0_109073_2021-02-09_final
2021-02-10 10:17:24	ga_ls8c_ard_3-2-0_100072_2021-02-10_final
2021-02-10 10:17:48	ga_ls8c_ard_3-2-0_100073_2021-02-10_final
2021-02-11 09:21:47	ga_ls8c_ard_3-2-0_091072_2021-02-10_final
2021-02-11 09:22:11	ga_ls8c_ard_3-2-0_091073_2021-02-10_final
2021-02-11 11:01:04	ga_ls8c_ard_3-2-0_107073_2021-02-11_final
2021-02-12 10:05:02	ga_ls8c_ard_3-2-0_098072_2021-02-12_final
2021-02-12 10:05:26	ga_ls8c_ard_3-2-0_098073_2021-02-12_final
2021-02-13 10:48:41	ga_ls8c_ard_3-2-0_105073_2021-02-13_final
2021-05-07 11:19:00	ga_ls8c_ard_3-2-0_110073_2021-05-07_final
2021-05-08 10:22:59	ga_ls8c_ard_3-2-0_101072_2021-05-08_final
2021-05-08 10:23:23	ga_ls8c_ard_3-2-0_101073_2021-05-08_final
2021-05-09 09:27:22	ga_ls8c_ard_3-2-0_092072_2021-05-08_final
2021-05-09 11:06:15	ga_ls8c_ard_3-2-0_108072_2021-05-09_final
2021-05-09 11:06:39	ga_ls8c_ard_3-2-0_108073_2021-05-09_final
2021-05-10 10:10:39	ga_ls8c_ard_3-2-0_099072_2021-05-10_final
2021-05-10 10:11:03	ga_ls8c_ard_3-2-0_099073_2021-05-10_final
2021-05-10 11:49:56	ga_ls8c_ard_3-2-0_115073_2021-05-10_final
2023-01-30 11:13:42	ga_ls8c_ard_3-2-1_109073_2023-01-30_final
2023-01-31 10:17:41	ga_ls8c_ard_3-2-1_100072_2023-01-31_final
2023-01-31 10:18:05	ga_ls8c_ard_3-2-1_100073_2023-01-31_final
2023-02-01 09:22:04	ga_ls8c_ard_3-2-1_091072_2023-01-31_final
2023-02-01 09:22:28	ga_ls8c_ard_3-2-1_091073_2023-01-31_final
2023-02-05 10:36:37	ga_ls8c_ard_3-2-1_103073_2023-02-05_final
2023-02-06 09:41:00	ga_ls8c_ard_3-2-1_094073_2023-02-06_final
2023-02-06 11:19:29	ga_ls8c_ard_3-2-1_110072_2023-02-06_final
2023-02-06 11:19:53	ga_ls8c_ard_3-2-1_110073_2023-02-06_final
2023-02-09 10:11:52	ga_ls8c_ard_3-2-1_099073_2023-02-09_final
2023-03-14 10:54:45	ga_ls8c_ard_3-2-1_106073_2023-03-14_final
2023-03-15 09:59:08	ga_ls8c_ard_3-2-1_097073_2023-03-15_final
2023-03-15 11:38:01	ga_ls8c_ard_3-2-1_113073_2023-03-15_final
2023-03-16 10:42:23	ga_ls8c_ard_3-2-1_104073_2023-03-16_final
2023-10-16 10:05:30	ga_ls8c_ard_3-2-1_098073_2023-10-16_final
2023-10-17 10:48:22	ga_ls8c_ard_3-2-1_105072_2023-10-17_final
2023-10-17 10:48:46	ga_ls8c_ard_3-2-1_105073_2023-10-17_final
2023-10-18 09:52:44	ga_ls8c_ard_3-2-1_096072_2023-10-18_final
2023-10-18 09:53:08	ga_ls8c_ard_3-2-1_096073_2023-10-18_final
2023-10-19 10:36:23	ga_ls8c_ard_3-2-1_103073_2023-10-19_final
2023-10-20 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-20_final
2023-10-20 09:40:45	ga_ls8c_ard_3-2-1_094073_2023-10-20_final
2023-10-20 11:19:38	ga_ls8c_ard_3-2-1_110073_2023-10-20_final
2023-10-21 10:23:38	ga_ls8c_ard_3-2-1_101072_2023-10-21_final
2023-10-21 10:24:02	ga_ls8c_ard_3-2-1_101073_2023-10-21_final
2023-10-22 09:28:01	ga_ls8c_ard_3-2-1_092072_2023-10-21_final
2023-10-22 09:28:25	ga_ls8c_ard_3-2-1_092073_2023-10-21_final
2023-10-22 11:06:55	ga_ls8c_ard_3-2-1_108072_2023-10-22_final
2023-10-22 11:07:18	ga_ls8c_ard_3-2-1_108073_2023-10-22_final
2023-10-23 10:11:18	ga_ls8c_ard_3-2-1_099072_2023-10-23_final
2023-10-23 10:11:42	ga_ls8c_ard_3-2-1_099073_2023-10-23_final
2023-10-24 10:54:34	ga_ls8c_ard_3-2-1_106072_2023-10-24_final
2023-10-24 10:54:58	ga_ls8c_ard_3-2-1_106073_2023-10-24_final
2023-10-25 09:58:57	ga_ls8c_ard_3-2-1_097072_2023-10-25_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