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
2018-12-16 08:10:35	ga_ls8c_ard_3-2-1_079080_2018-12-15_final
2021-12-28 12:37:44	ga_ls8c_ard_3-2-1_123067_2021-12-28_final
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2023-02-03 10:50:59	ga_ls8c_ard_3-2-1_105078_2023-02-03_final
2023-02-04 09:56:57	ga_ls8c_ard_3-2-1_096082_2023-02-04_final
2023-02-22 09:43:09	ga_ls8c_ard_3-2-1_094079_2023-02-22_final
2023-03-08 09:56:33	ga_ls8c_ard_3-2-1_096082_2023-03-08_final
2023-03-15 10:03:07	ga_ls8c_ard_3-2-1_097083_2023-03-15_final
2023-03-16 10:43:34	ga_ls8c_ard_3-2-1_104076_2023-03-16_final
2023-03-21 11:04:02	ga_ls8c_ard_3-2-1_107081_2023-03-21_final
2023-03-24 09:56:24	ga_ls8c_ard_3-2-1_096082_2023-03-24_final
2023-04-08 10:50:38	ga_ls8c_ard_3-2-1_105079_2023-04-08_final
2023-04-11 11:21:28	ga_ls8c_ard_3-2-1_110079_2023-04-11_final
2023-04-12 10:26:14	ga_ls8c_ard_3-2-1_101080_2023-04-12_final
2023-04-17 10:44:21	ga_ls8c_ard_3-2-1_104079_2023-04-17_final
2023-04-18 09:49:31	ga_ls8c_ard_3-2-1_095081_2023-04-18_final
2023-04-18 11:26:48	ga_ls8c_ard_3-2-1_111077_2023-04-18_final
2023-04-18 11:28:00	ga_ls8c_ard_3-2-1_111080_2023-04-18_final
2023-04-20 09:36:20	ga_ls8c_ard_3-2-1_093079_2023-04-20_final
2023-04-24 10:50:07	ga_ls8c_ard_3-2-1_105078_2023-04-24_final
2023-04-25 09:56:05	ga_ls8c_ard_3-2-1_096082_2023-04-25_final
2023-04-27 11:21:48	ga_ls8c_ard_3-2-1_110080_2023-04-27_final
2023-05-02 11:38:19	ga_ls8c_ard_3-2-1_113075_2023-05-02_final
2023-05-02 11:38:42	ga_ls8c_ard_3-2-1_113076_2023-05-02_final
2023-05-03 10:43:28	ga_ls8c_ard_3-2-1_104077_2023-05-03_final
2023-05-04 09:49:02	ga_ls8c_ard_3-2-1_095080_2023-05-04_final
2023-05-04 11:26:43	ga_ls8c_ard_3-2-1_111077_2023-05-04_final
2023-05-06 09:35:27	ga_ls8c_ard_3-2-1_093077_2023-05-06_final
2023-05-10 10:49:56	ga_ls8c_ard_3-2-1_105078_2023-05-10_final
2023-05-11 09:55:05	ga_ls8c_ard_3-2-1_096080_2023-05-11_final
2023-05-11 09:55:53	ga_ls8c_ard_3-2-1_096082_2023-05-11_final
2023-05-22 09:35:20	ga_ls8c_ard_3-2-1_093077_2023-05-22_final
2023-05-24 09:23:23	ga_ls8c_ard_3-2-1_091078_2023-05-23_final
2023-05-27 09:55:05	ga_ls8c_ard_3-2-1_096080_2023-05-27_final
2023-06-21 09:47:28	ga_ls8c_ard_3-2-1_095076_2023-06-21_final
2023-06-23 11:15:11	ga_ls8c_ard_3-2-1_109079_2023-06-23_final
2023-06-28 11:32:38	ga_ls8c_ard_3-2-1_112076_2023-06-28_final
2023-07-01 10:23:05	ga_ls8c_ard_3-2-1_101072_2023-07-01_final
2023-07-06 10:44:05	ga_ls8c_ard_3-2-1_104078_2023-07-06_final
2023-07-08 10:29:21	ga_ls8c_ard_3-2-1_102072_2023-07-08_final
2023-07-13 10:47:31	ga_ls8c_ard_3-2-1_105071_2023-07-13_final
2023-07-14 09:55:29	ga_ls8c_ard_3-2-1_096080_2023-07-14_final
2023-07-14 09:56:17	ga_ls8c_ard_3-2-1_096082_2023-07-14_final
2023-07-16 09:41:08	ga_ls8c_ard_3-2-1_094075_2023-07-16_final
2023-07-18 09:29:10	ga_ls8c_ard_3-2-1_092076_2023-07-17_final
2023-07-19 10:16:01	ga_ls8c_ard_3-2-1_099085_2023-07-19_final
2023-07-22 10:43:20	ga_ls8c_ard_3-2-1_104076_2023-07-22_final
2023-07-25 09:35:48	ga_ls8c_ard_3-2-1_093077_2023-07-25_final
2023-07-25 09:38:12	ga_ls8c_ard_3-2-1_093083_2023-07-25_final
2023-07-27 11:04:21	ga_ls8c_ard_3-2-1_107082_2023-07-27_final
2023-07-30 09:56:24	ga_ls8c_ard_3-2-1_096082_2023-07-30_final
2023-07-30 11:34:05	ga_ls8c_ard_3-2-1_112079_2023-07-30_final
2023-08-01 09:44:27	ga_ls8c_ard_3-2-1_094083_2023-08-01_final
2023-08-01 11:20:57	ga_ls8c_ard_3-2-1_110077_2023-08-01_final
2023-08-03 09:32:06	ga_ls8c_ard_3-2-1_092083_2023-08-03_final
2023-08-07 10:41:53	ga_ls8c_ard_3-2-1_104072_2023-08-07_final
2023-08-07 10:43:53	ga_ls8c_ard_3-2-1_104077_2023-08-07_final
2023-08-17 11:22:14	ga_ls8c_ard_3-2-1_110080_2023-08-17_final
2023-08-21 09:19:52	ga_ls8c_ard_3-2-1_090083_2023-08-20_final
2023-08-31 11:33:52	ga_ls8c_ard_3-2-1_112078_2023-08-31_final
2023-09-11 09:36:03	ga_ls8c_ard_3-2-1_093077_2023-09-11_final
2023-09-11 09:36:27	ga_ls8c_ard_3-2-1_093078_2023-09-11_final
2023-09-13 11:04:36	ga_ls8c_ard_3-2-1_107082_2023-09-13_final
2023-09-16 09:53:03	ga_ls8c_ard_3-2-1_096073_2023-09-16_final
2023-09-16 09:56:38	ga_ls8c_ard_3-2-1_096082_2023-09-16_final
2023-09-16 11:34:43	ga_ls8c_ard_3-2-1_112080_2023-09-16_final
2023-09-21 10:12:23	ga_ls8c_ard_3-2-1_099075_2023-09-21_final
2023-09-24 10:41:42	ga_ls8c_ard_3-2-1_104071_2023-09-24_final
2023-09-24 10:44:06	ga_ls8c_ard_3-2-1_104077_2023-09-24_final
2023-10-05 10:22:48	ga_ls8c_ard_3-2-1_101070_2023-10-05_final
2023-10-07 10:12:27	ga_ls8c_ard_3-2-1_099075_2023-10-07_final
2023-10-07 10:14:50	ga_ls8c_ard_3-2-1_099081_2023-10-07_final
2023-10-10 10:43:47	ga_ls8c_ard_3-2-1_104076_2023-10-10_final
2023-10-12 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-10-12_final
2023-10-13 09:36:12	ga_ls8c_ard_3-2-1_093077_2023-10-13_final
2023-10-18 09:54:44	ga_ls8c_ard_3-2-1_096077_2023-10-18_final
2023-10-20 11:22:50	ga_ls8c_ard_3-2-1_110081_2023-10-20_final
2023-10-27 11:28:17	ga_ls8c_ard_3-2-1_111079_2023-10-27_final
2023-10-28 10:32:16	ga_ls8c_ard_3-2-1_102078_2023-10-28_final
2023-11-04 10:37:15	ga_ls8c_ard_3-2-1_103075_2023-11-04_final
2023-11-15 10:20:41	ga_ls8c_ard_3-2-1_100080_2023-11-15_final
2023-12-03 10:08:42	ga_ls8c_ard_3-2-1_098081_2023-12-03_final
2023-12-07 09:41:30	ga_ls8c_ard_3-2-1_094075_2023-12-07_final
2023-12-09 11:09:15	ga_ls8c_ard_3-2-1_108078_2023-12-09_final
2023-12-13 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-13_final
2023-12-23 11:21:43	ga_ls8c_ard_3-2-1_110078_2023-12-23_final
2023-12-25 09:35:15	ga_ls8c_ard_3-2-1_092090_2023-12-25_final
2023-12-28 11:40:37	ga_ls8c_ard_3-2-1_113079_2023-12-28_final
2023-12-29 10:44:59	ga_ls8c_ard_3-2-1_104079_2023-12-29_final
2024-01-01 09:36:58	ga_ls8c_ard_3-2-1_093079_2024-01-01_final
2024-01-22 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-22_final
2024-01-29 10:02:47	ga_ls8c_ard_3-2-1_097082_2024-01-29_final
2024-02-01 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-01_final
2024-02-21 10:09:00	ga_ls8c_ard_3-2-1_098082_2024-02-21_final
2024-02-25 09:42:39	ga_ls8c_ard_3-2-1_094078_2024-02-25_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-17 11:39:51	ga_ls8c_ard_3-2-1_113078_2024-03-17_final
2024-03-18 10:43:25	ga_ls8c_ard_3-2-1_104076_2024-03-18_final
2024-03-18 10:45:25	ga_ls8c_ard_3-2-1_104081_2024-03-18_final
2024-03-28 09:44:12	ga_ls8c_ard_3-2-1_094083_2024-03-28_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