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
2018-09-16 10:04:10	ga_ls8c_ard_3-0-0_098071_2018-09-16_final
2018-09-16 10:04:34	ga_ls8c_ard_3-0-0_098072_2018-09-16_final
2018-09-17 09:08:57	ga_ls8c_ard_3-2-1_089072_2018-09-16_interim
2018-09-17 10:47:26	ga_ls8c_ard_3-0-0_105071_2018-09-17_final
2018-09-17 10:47:50	ga_ls8c_ard_3-0-0_105072_2018-09-17_final
2019-01-06 10:04:25	ga_ls8c_ard_3-0-0_098071_2019-01-06_final
2019-01-06 10:04:48	ga_ls8c_ard_3-0-0_098072_2019-01-06_final
2019-01-07 10:47:40	ga_ls8c_ard_3-0-0_105071_2019-01-07_final
2019-01-07 10:48:04	ga_ls8c_ard_3-0-0_105072_2019-01-07_final
2019-07-23 09:27:27	ga_ls8c_ard_3-1-0_092071_2019-07-22_final
2019-07-23 09:27:51	ga_ls8c_ard_3-1-0_092072_2019-07-22_final
2019-07-23 11:06:20	ga_ls8c_ard_3-1-0_108071_2019-07-23_final
2019-07-23 11:06:44	ga_ls8c_ard_3-1-0_108072_2019-07-23_final
2019-07-24 10:10:43	ga_ls8c_ard_3-1-0_099071_2019-07-24_final
2019-07-24 10:11:07	ga_ls8c_ard_3-1-0_099072_2019-07-24_final
2019-07-25 10:53:59	ga_ls8c_ard_3-1-0_106071_2019-07-25_final
2019-07-25 10:54:23	ga_ls8c_ard_3-1-0_106072_2019-07-25_final
2019-07-26 09:58:22	ga_ls8c_ard_3-1-0_097071_2019-07-26_final
2019-07-26 09:58:46	ga_ls8c_ard_3-1-0_097072_2019-07-26_final
2019-07-26 11:37:15	ga_ls8c_ard_3-1-0_113071_2019-07-26_final
2019-07-26 11:37:39	ga_ls8c_ard_3-1-0_113072_2019-07-26_final
2019-07-27 10:41:39	ga_ls8c_ard_3-1-0_104071_2019-07-27_final
2019-07-27 10:42:02	ga_ls8c_ard_3-1-0_104072_2019-07-27_final
2019-08-13 09:46:08	ga_ls8c_ard_3-1-0_095071_2019-08-13_final
2019-08-13 09:46:32	ga_ls8c_ard_3-1-0_095072_2019-08-13_final
2019-08-13 11:25:01	ga_ls8c_ard_3-1-0_111071_2019-08-13_final
2019-08-13 11:25:25	ga_ls8c_ard_3-1-0_111072_2019-08-13_final
2019-08-14 10:29:24	ga_ls8c_ard_3-1-0_102071_2019-08-14_final
2019-08-14 10:29:48	ga_ls8c_ard_3-1-0_102072_2019-08-14_final
2019-08-15 09:33:47	ga_ls8c_ard_3-1-0_093071_2019-08-15_final
2019-08-15 09:34:11	ga_ls8c_ard_3-1-0_093072_2019-08-15_final
2019-08-15 11:12:40	ga_ls8c_ard_3-1-0_109071_2019-08-15_final
2019-08-15 11:13:04	ga_ls8c_ard_3-1-0_109072_2019-08-15_final
2019-08-16 10:17:03	ga_ls8c_ard_3-1-0_100071_2019-08-16_final
2019-08-16 10:17:27	ga_ls8c_ard_3-1-0_100072_2019-08-16_final
2019-10-02 11:12:53	ga_ls8c_ard_3-1-0_109071_2019-10-02_final
2019-10-02 11:13:17	ga_ls8c_ard_3-1-0_109072_2019-10-02_final
2019-10-03 10:17:16	ga_ls8c_ard_3-1-0_100071_2019-10-03_final
2019-10-03 10:17:40	ga_ls8c_ard_3-1-0_100072_2019-10-03_final
2019-11-03 11:12:55	ga_ls8c_ard_3-1-0_109071_2019-11-03_final
2019-11-03 11:13:19	ga_ls8c_ard_3-1-0_109072_2019-11-03_final
2019-11-04 10:17:17	ga_ls8c_ard_3-1-0_100071_2019-11-04_final
2019-11-04 10:17:41	ga_ls8c_ard_3-1-0_100072_2019-11-04_final
2019-11-19 11:12:51	ga_ls8c_ard_3-1-0_109071_2019-11-19_final
2019-11-20 10:17:14	ga_ls8c_ard_3-1-0_100071_2019-11-20_final
2019-11-20 10:17:38	ga_ls8c_ard_3-1-0_100072_2019-11-20_final
2019-12-28 09:40:04	ga_ls8c_ard_3-1-0_094071_2019-12-28_final
2019-12-28 09:40:28	ga_ls8c_ard_3-1-0_094072_2019-12-28_final
2019-12-28 11:19:21	ga_ls8c_ard_3-1-0_110072_2019-12-28_final
2019-12-29 10:23:19	ga_ls8c_ard_3-1-0_101071_2019-12-29_final
2019-12-29 10:23:43	ga_ls8c_ard_3-1-0_101072_2019-12-29_final
2019-12-30 09:27:42	ga_ls8c_ard_3-1-0_092071_2019-12-29_final
2019-12-30 09:28:06	ga_ls8c_ard_3-1-0_092072_2019-12-29_final
2019-12-30 11:06:35	ga_ls8c_ard_3-1-0_108071_2019-12-30_final
2019-12-30 11:06:59	ga_ls8c_ard_3-1-0_108072_2019-12-30_final
2019-12-31 10:10:57	ga_ls8c_ard_3-1-0_099071_2019-12-31_final
2019-12-31 10:11:21	ga_ls8c_ard_3-1-0_099072_2019-12-31_final
2020-01-01 10:54:12	ga_ls8c_ard_3-1-0_106071_2020-01-01_final
2020-01-01 10:54:36	ga_ls8c_ard_3-1-0_106072_2020-01-01_final
2020-01-02 09:58:35	ga_ls8c_ard_3-1-0_097071_2020-01-02_final
2020-01-02 09:58:59	ga_ls8c_ard_3-1-0_097072_2020-01-02_final
2020-01-02 11:37:28	ga_ls8c_ard_3-1-0_113071_2020-01-02_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-01-03 10:41:50	ga_ls8c_ard_3-1-0_104071_2020-01-03_final
2020-01-03 10:42:14	ga_ls8c_ard_3-1-0_104072_2020-01-03_final
2020-01-04 09:46:13	ga_ls8c_ard_3-1-0_095071_2020-01-04_final
2020-01-04 09:46:37	ga_ls8c_ard_3-1-0_095072_2020-01-04_final
2020-01-04 11:25:06	ga_ls8c_ard_3-1-0_111071_2020-01-04_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-01-05 10:29:52	ga_ls8c_ard_3-1-0_102072_2020-01-05_final
2020-01-06 09:33:51	ga_ls8c_ard_3-1-0_093071_2020-01-06_final
2020-01-06 09:34:15	ga_ls8c_ard_3-1-0_093072_2020-01-06_final
2020-01-06 11:12:44	ga_ls8c_ard_3-1-0_109071_2020-01-06_final
2020-01-06 11:13:08	ga_ls8c_ard_3-1-0_109072_2020-01-06_final
2020-01-07 10:17:30	ga_ls8c_ard_3-1-0_100072_2020-01-07_final
2020-02-14 09:39:52	ga_ls8c_ard_3-1-0_094071_2020-02-14_final
2020-02-14 09:40:16	ga_ls8c_ard_3-1-0_094072_2020-02-14_final
2020-02-14 11:19:09	ga_ls8c_ard_3-1-0_110072_2020-02-14_final
2020-02-15 10:23:07	ga_ls8c_ard_3-1-0_101071_2020-02-15_final
2020-02-15 10:23:31	ga_ls8c_ard_3-1-0_101072_2020-02-15_final
2020-02-16 09:27:30	ga_ls8c_ard_3-1-0_092071_2020-02-15_final
2020-02-16 09:27:54	ga_ls8c_ard_3-1-0_092072_2020-02-15_final
2020-02-16 11:06:23	ga_ls8c_ard_3-1-0_108071_2020-02-16_final
2020-02-16 11:06:47	ga_ls8c_ard_3-1-0_108072_2020-02-16_final
2020-02-17 10:10:45	ga_ls8c_ard_3-1-0_099071_2020-02-17_final
2020-02-17 10:11:09	ga_ls8c_ard_3-1-0_099072_2020-02-17_final
2022-07-26 10:48:10	ga_ls8c_ard_3-2-1_105071_2022-07-26_final
2022-07-26 10:48:34	ga_ls8c_ard_3-2-1_105072_2022-07-26_final
2022-07-27 09:52:33	ga_ls8c_ard_3-2-1_096071_2022-07-27_final
2022-07-27 09:52:57	ga_ls8c_ard_3-2-1_096072_2022-07-27_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-07-28 10:35:50	ga_ls8c_ard_3-2-1_103071_2022-07-28_final
2022-07-28 10:36:14	ga_ls8c_ard_3-2-1_103072_2022-07-28_final
2022-07-29 09:40:13	ga_ls8c_ard_3-2-1_094071_2022-07-29_final
2022-07-29 09:40:37	ga_ls8c_ard_3-2-1_094072_2022-07-29_final
2022-07-29 11:19:06	ga_ls8c_ard_3-2-1_110071_2022-07-29_final
2022-07-29 11:19:30	ga_ls8c_ard_3-2-1_110072_2022-07-29_final
2022-07-30 10:23:29	ga_ls8c_ard_3-2-1_101071_2022-07-30_final
2022-07-30 10:23:53	ga_ls8c_ard_3-2-1_101072_2022-07-30_final
2022-07-31 09:27:53	ga_ls8c_ard_3-2-1_092071_2022-07-30_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