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
2018-10-09 10:08:32	ga_ls8c_ard_3-2-1_099066_2018-10-09_final
2020-05-08 12:30:40	ga_ls8c_ard_3-2-1_122067_2020-05-08_final
2023-02-01 11:02:57	ga_ls8c_ard_3-2-1_107077_2023-02-01_final
2023-03-19 09:38:45	ga_ls8c_ard_3-2-1_093084_2023-03-19_final
2023-03-22 11:44:29	ga_ls8c_ard_3-2-1_114074_2023-03-22_final
2023-05-26 10:49:31	ga_ls8c_ard_3-2-1_105077_2023-05-26_final
2023-06-05 11:23:27	ga_ls8c_ard_3-2-1_111069_2023-06-05_final
2023-06-16 11:07:24	ga_ls8c_ard_3-2-1_108075_2023-06-16_final
2023-06-16 11:08:12	ga_ls8c_ard_3-2-1_108077_2023-06-16_final
2023-07-06 10:40:53	ga_ls8c_ard_3-2-1_104070_2023-07-06_final
2023-07-07 09:50:04	ga_ls8c_ard_3-2-1_095082_2023-07-07_final
2023-07-16 11:20:01	ga_ls8c_ard_3-2-1_110075_2023-07-16_final
2023-07-17 10:23:59	ga_ls8c_ard_3-2-1_101074_2023-07-17_final
2023-07-18 09:33:09	ga_ls8c_ard_3-2-1_092086_2023-07-18_final
2023-08-01 09:44:03	ga_ls8c_ard_3-2-1_094082_2023-08-01_final
2023-08-01 09:46:03	ga_ls8c_ard_3-2-1_094087_2023-08-01_final
2023-08-03 11:08:36	ga_ls8c_ard_3-2-1_108077_2023-08-03_final
2023-08-15 09:55:41	ga_ls8c_ard_3-2-1_096080_2023-08-15_final
2023-08-18 10:24:14	ga_ls8c_ard_3-2-1_101074_2023-08-18_final
2023-09-11 09:37:39	ga_ls8c_ard_3-2-1_093081_2023-09-11_final
2023-09-13 11:02:36	ga_ls8c_ard_3-2-1_107077_2023-09-13_final
2023-09-17 10:39:06	ga_ls8c_ard_3-2-1_103080_2023-09-17_final
2023-09-19 10:27:57	ga_ls8c_ard_3-2-1_101083_2023-09-19_final
2023-09-21 10:16:23	ga_ls8c_ard_3-2-1_099085_2023-09-21_final
2023-09-25 09:50:53	ga_ls8c_ard_3-2-1_095083_2023-09-25_final
2023-09-26 10:28:34	ga_ls8c_ard_3-2-1_102069_2023-09-26_final
2023-09-27 09:37:21	ga_ls8c_ard_3-2-1_093080_2023-09-27_final
2023-09-27 09:37:45	ga_ls8c_ard_3-2-1_093081_2023-09-27_final
2023-09-28 10:19:49	ga_ls8c_ard_3-2-1_100078_2023-09-28_final
2023-09-29 10:59:53	ga_ls8c_ard_3-2-1_107070_2023-09-29_final
2023-09-29 11:02:41	ga_ls8c_ard_3-2-1_107077_2023-09-29_final
2023-10-01 10:49:56	ga_ls8c_ard_3-2-1_105076_2023-10-01_final
2023-10-04 11:18:26	ga_ls8c_ard_3-2-1_110070_2023-10-04_final
2023-10-06 11:07:39	ga_ls8c_ard_3-2-1_108074_2023-10-06_final
2023-10-06 11:10:27	ga_ls8c_ard_3-2-1_108081_2023-10-06_final
2023-10-09 10:00:06	ga_ls8c_ard_3-2-1_097075_2023-10-09_final
2023-10-09 11:41:23	ga_ls8c_ard_3-2-1_113081_2023-10-09_final
2023-10-11 09:47:46	ga_ls8c_ard_3-2-1_095075_2023-10-11_final
2023-10-20 11:20:26	ga_ls8c_ard_3-2-1_110075_2023-10-20_final
2023-10-22 09:35:13	ga_ls8c_ard_3-2-1_092090_2023-10-22_final
2023-10-24 10:57:46	ga_ls8c_ard_3-2-1_106080_2023-10-24_final
2023-11-04 10:39:14	ga_ls8c_ard_3-2-1_103080_2023-11-04_final
2023-11-04 10:40:02	ga_ls8c_ard_3-2-1_103082_2023-11-04_final
2023-11-06 10:23:40	ga_ls8c_ard_3-2-1_101072_2023-11-06_final
2023-11-07 09:30:02	ga_ls8c_ard_3-2-1_092077_2023-11-07_final
2023-11-07 09:31:13	ga_ls8c_ard_3-2-1_092080_2023-11-07_final
2023-11-07 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-11-07_final
2023-11-08 11:52:33	ga_ls8c_ard_3-2-1_115078_2023-11-08_final
2023-11-16 11:03:10	ga_ls8c_ard_3-2-1_107078_2023-11-16_final
2023-11-17 10:05:09	ga_ls8c_ard_3-2-1_098072_2023-11-17_final
2023-11-23 11:10:35	ga_ls8c_ard_3-2-1_108081_2023-11-23_final
2023-11-23 11:11:47	ga_ls8c_ard_3-2-1_108084_2023-11-23_final
2023-11-27 10:45:51	ga_ls8c_ard_3-2-1_104081_2023-11-27_final
2023-11-29 10:28:18	ga_ls8c_ard_3-2-1_102068_2023-11-29_final
2023-12-04 09:13:51	ga_ls8c_ard_3-2-1_089083_2023-12-03_final
2023-12-06 10:34:21	ga_ls8c_ard_3-2-1_103068_2023-12-06_final
2023-12-11 10:54:08	ga_ls8c_ard_3-2-1_106071_2023-12-11_final
2023-12-14 09:48:58	ga_ls8c_ard_3-2-1_095078_2023-12-14_final
2023-12-17 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-17_final
2023-12-18 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-12-18_final
2023-12-18 11:03:10	ga_ls8c_ard_3-2-1_107078_2023-12-18_final
2023-12-27 09:20:53	ga_ls8c_ard_3-2-1_090085_2023-12-26_final
2024-01-02 10:22:12	ga_ls8c_ard_3-2-1_100084_2024-01-02_final
2024-01-05 10:50:16	ga_ls8c_ard_3-2-1_105077_2024-01-05_final
2024-01-06 09:56:15	ga_ls8c_ard_3-2-1_096081_2024-01-06_final
2024-01-09 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-01-09_final
2024-01-10 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-01-09_final
2024-01-10 11:10:27	ga_ls8c_ard_3-2-1_108081_2024-01-10_final
2024-01-11 10:14:26	ga_ls8c_ard_3-2-1_099080_2024-01-11_final
2024-01-17 11:14:39	ga_ls8c_ard_3-2-1_109076_2024-01-17_final
2024-01-19 09:24:35	ga_ls8c_ard_3-2-1_091079_2024-01-18_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_final
2024-01-25 10:24:18	ga_ls8c_ard_3-2-1_101074_2024-01-25_final
2024-01-26 11:09:09	ga_ls8c_ard_3-2-1_108078_2024-01-26_final
2024-01-27 10:14:19	ga_ls8c_ard_3-2-1_099080_2024-01-27_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-15 10:46:05	ga_ls8c_ard_3-2-1_104082_2024-02-15_final
2024-02-18 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-18_final
2024-02-19 10:18:34	ga_ls8c_ard_3-2-1_100075_2024-02-19_final
2024-02-20 09:26:56	ga_ls8c_ard_3-2-1_091085_2024-02-19_final
2024-02-22 10:51:27	ga_ls8c_ard_3-2-1_105080_2024-02-22_final
2024-02-27 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-02-27_final
2024-02-27 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-02-27_final
2024-02-27 09:33:52	ga_ls8c_ard_3-2-1_092087_2024-02-27_final
2024-02-29 09:20:17	ga_ls8c_ard_3-2-1_090084_2024-02-28_final
2024-03-06 10:17:11	ga_ls8c_ard_3-2-1_100072_2024-03-06_final
2024-03-06 10:18:47	ga_ls8c_ard_3-2-1_100076_2024-03-06_final
2024-03-19 09:50:10	ga_ls8c_ard_3-2-1_095082_2024-03-19_final
2024-03-21 11:14:40	ga_ls8c_ard_3-2-1_109077_2024-03-21_final
2024-03-24 10:09:25	ga_ls8c_ard_3-2-1_098084_2024-03-24_final
2024-03-25 10:51:04	ga_ls8c_ard_3-2-1_105080_2024-03-25_final
2024-03-26 09:57:48	ga_ls8c_ard_3-2-1_096086_2024-03-26_final
2024-03-28 09:43:48	ga_ls8c_ard_3-2-1_094082_2024-03-28_final
2024-03-28 09:45:00	ga_ls8c_ard_3-2-1_094085_2024-03-28_final
2024-03-28 11:19:54	ga_ls8c_ard_3-2-1_110075_2024-03-28_final
2024-03-30 11:09:56	ga_ls8c_ard_3-2-1_108081_2024-03-30_final
2024-03-30 11:10:44	ga_ls8c_ard_3-2-1_108083_2024-03-30_final
2024-03-31 10:15:31	ga_ls8c_ard_3-2-1_099084_2024-03-31_final
2024-04-01 10:53:36	ga_ls8c_ard_3-2-1_106071_2024-04-01_final
2024-04-03 10:45:38	ga_ls8c_ard_3-2-1_104082_2024-04-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years