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
2022-08-02 12:31:43	ga_ls8c_ard_3-2-1_122067_2022-08-02_final
2023-02-02 10:09:19	ga_ls8c_ard_3-2-1_098082_2023-02-02_final
2023-03-04 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-03-04_final
2023-03-21 09:23:34	ga_ls8c_ard_3-2-1_091077_2023-03-20_final
2023-04-03 10:28:13	ga_ls8c_ard_3-2-1_102069_2023-04-03_final
2023-05-31 11:06:27	ga_ls8c_ard_3-2-1_108073_2023-05-31_final
2023-06-09 09:25:29	ga_ls8c_ard_3-2-1_091083_2023-06-08_final
2023-06-11 10:50:26	ga_ls8c_ard_3-2-1_105079_2023-06-11_final
2023-06-16 09:32:31	ga_ls8c_ard_3-2-1_092085_2023-06-16_final
2023-06-16 11:06:36	ga_ls8c_ard_3-2-1_108073_2023-06-16_final
2023-06-17 11:51:52	ga_ls8c_ard_3-2-1_115078_2023-06-17_final
2023-06-18 09:16:58	ga_ls8c_ard_3-2-1_090077_2023-06-17_final
2023-06-22 10:28:20	ga_ls8c_ard_3-2-1_102070_2023-06-22_final
2023-06-26 10:06:52	ga_ls8c_ard_3-2-1_098078_2023-06-26_final
2023-06-26 10:08:04	ga_ls8c_ard_3-2-1_098081_2023-06-26_final
2023-06-29 10:38:13	ga_ls8c_ard_3-2-1_103079_2023-06-29_final
2023-06-30 09:39:49	ga_ls8c_ard_3-2-1_094072_2023-06-30_final
2023-07-03 10:09:57	ga_ls8c_ard_3-2-1_099070_2023-07-03_final
2023-07-05 11:41:41	ga_ls8c_ard_3-2-1_113083_2023-07-05_final
2023-07-07 09:52:04	ga_ls8c_ard_3-2-1_095087_2023-07-07_final
2023-07-13 10:49:54	ga_ls8c_ard_3-2-1_105077_2023-07-13_final
2023-07-13 10:50:42	ga_ls8c_ard_3-2-1_105079_2023-07-13_final
2023-07-15 10:35:33	ga_ls8c_ard_3-2-1_103072_2023-07-15_final
2023-07-16 09:43:31	ga_ls8c_ard_3-2-1_094081_2023-07-16_final
2023-07-16 09:43:55	ga_ls8c_ard_3-2-1_094082_2023-07-16_final
2023-07-17 10:27:11	ga_ls8c_ard_3-2-1_101082_2023-07-17_final
2023-07-20 09:20:23	ga_ls8c_ard_3-2-1_090085_2023-07-19_final
2023-07-21 10:00:27	ga_ls8c_ard_3-2-1_097077_2023-07-21_final
2023-07-23 11:26:37	ga_ls8c_ard_3-2-1_111076_2023-07-23_final
2023-07-24 10:30:37	ga_ls8c_ard_3-2-1_102075_2023-07-24_final
2023-08-02 10:26:55	ga_ls8c_ard_3-2-1_101081_2023-08-02_final
2023-08-04 10:13:46	ga_ls8c_ard_3-2-1_099079_2023-08-04_final
2023-08-13 10:08:25	ga_ls8c_ard_3-2-1_098081_2023-08-13_final
2023-08-17 11:20:39	ga_ls8c_ard_3-2-1_110076_2023-08-17_final
2023-08-22 10:00:44	ga_ls8c_ard_3-2-1_097077_2023-08-22_final
2023-08-23 09:06:43	ga_ls8c_ard_3-2-1_088081_2023-08-22_final
2023-08-25 10:30:51	ga_ls8c_ard_3-2-1_102075_2023-08-25_final
2023-08-26 11:14:55	ga_ls8c_ard_3-2-1_109077_2023-08-26_final
2023-09-01 10:39:02	ga_ls8c_ard_3-2-1_103080_2023-09-01_final
2023-09-04 11:08:43	ga_ls8c_ard_3-2-1_108077_2023-09-04_final
2023-09-05 10:15:05	ga_ls8c_ard_3-2-1_099082_2023-09-05_final
2023-09-07 09:58:20	ga_ls8c_ard_3-2-1_097071_2023-09-07_final
2023-09-12 10:20:08	ga_ls8c_ard_3-2-1_100079_2023-09-12_final
2023-09-13 11:03:00	ga_ls8c_ard_3-2-1_107078_2023-09-13_final
2023-09-14 10:09:23	ga_ls8c_ard_3-2-1_098083_2023-09-14_final
2023-09-15 10:51:27	ga_ls8c_ard_3-2-1_105080_2023-09-15_final
2023-09-18 11:20:22	ga_ls8c_ard_3-2-1_110075_2023-09-18_final
2023-09-23 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-09-23_final
2023-09-26 10:28:10	ga_ls8c_ard_3-2-1_102068_2023-09-26_final
2023-09-29 11:02:17	ga_ls8c_ard_3-2-1_107076_2023-09-29_final
2023-10-05 10:22:48	ga_ls8c_ard_3-2-1_101070_2023-10-05_final
2023-10-08 09:21:14	ga_ls8c_ard_3-2-1_090086_2023-10-07_final
2023-10-15 11:02:44	ga_ls8c_ard_3-2-1_107077_2023-10-15_final
2023-10-22 09:31:37	ga_ls8c_ard_3-2-1_092081_2023-10-22_final
2023-10-27 09:46:37	ga_ls8c_ard_3-2-1_095072_2023-10-27_final
2023-10-29 11:15:08	ga_ls8c_ard_3-2-1_109077_2023-10-29_final
2023-10-30 10:22:19	ga_ls8c_ard_3-2-1_100084_2023-10-30_final
2023-11-02 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-02_final
2023-11-07 09:33:13	ga_ls8c_ard_3-2-1_092085_2023-11-07_final
2023-11-11 10:40:58	ga_ls8c_ard_3-2-1_104069_2023-11-11_final
2023-11-14 11:16:18	ga_ls8c_ard_3-2-1_109080_2023-11-14_final
2023-11-15 10:21:53	ga_ls8c_ard_3-2-1_100083_2023-11-15_final
2023-11-16 10:59:58	ga_ls8c_ard_3-2-1_107070_2023-11-16_final
2023-11-16 11:02:22	ga_ls8c_ard_3-2-1_107076_2023-11-16_final
2023-11-23 09:32:30	ga_ls8c_ard_3-2-1_092083_2023-11-23_final
2023-11-23 09:35:18	ga_ls8c_ard_3-2-1_092090_2023-11-23_final
2023-12-04 10:50:21	ga_ls8c_ard_3-2-1_105077_2023-12-04_final
2023-12-09 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-12-09_final
2023-12-11 10:56:07	ga_ls8c_ard_3-2-1_106076_2023-12-11_final
2023-12-16 11:15:07	ga_ls8c_ard_3-2-1_109077_2023-12-16_final
2023-12-25 09:30:52	ga_ls8c_ard_3-2-1_092079_2023-12-25_final
2023-12-25 09:31:16	ga_ls8c_ard_3-2-1_092080_2023-12-25_final
2024-01-02 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-02_final
2024-01-02 10:21:25	ga_ls8c_ard_3-2-1_100082_2024-01-02_final
2024-01-10 09:30:46	ga_ls8c_ard_3-2-1_092079_2024-01-10_final
2024-01-11 11:51:44	ga_ls8c_ard_3-2-1_115076_2024-01-11_final
2024-01-12 09:21:13	ga_ls8c_ard_3-2-1_090086_2024-01-11_final
2024-01-16 10:32:59	ga_ls8c_ard_3-2-1_102080_2024-01-16_final
2024-01-17 09:37:45	ga_ls8c_ard_3-2-1_093081_2024-01-17_final
2024-01-18 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-18_final
2024-01-19 11:03:04	ga_ls8c_ard_3-2-1_107078_2024-01-19_final
2024-01-20 10:09:26	ga_ls8c_ard_3-2-1_098083_2024-01-20_final
2024-01-22 11:31:56	ga_ls8c_ard_3-2-1_112073_2024-01-22_final
2024-01-23 10:39:54	ga_ls8c_ard_3-2-1_103082_2024-01-23_final
2024-02-02 09:37:42	ga_ls8c_ard_3-2-1_093081_2024-02-02_final
2024-02-03 10:20:11	ga_ls8c_ard_3-2-1_100079_2024-02-03_final
2024-02-04 11:04:15	ga_ls8c_ard_3-2-1_107081_2024-02-04_final
2024-02-06 10:49:30	ga_ls8c_ard_3-2-1_105075_2024-02-06_final
2024-02-09 11:19:37	ga_ls8c_ard_3-2-1_110073_2024-02-09_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-11 09:35:09	ga_ls8c_ard_3-2-1_092090_2024-02-11_final
2024-02-12 10:14:25	ga_ls8c_ard_3-2-1_099080_2024-02-12_final
2024-02-16 09:48:52	ga_ls8c_ard_3-2-1_095078_2024-02-16_final
2024-02-20 11:03:01	ga_ls8c_ard_3-2-1_107078_2024-02-20_final
2024-02-22 09:16:10	ga_ls8c_ard_3-2-1_089089_2024-02-21_final
2024-02-22 10:49:27	ga_ls8c_ard_3-2-1_105075_2024-02-22_final
2024-02-25 09:45:27	ga_ls8c_ard_3-2-1_094085_2024-02-25_final
2024-02-29 09:22:16	ga_ls8c_ard_3-2-1_090089_2024-02-28_final
2024-03-01 09:58:20	ga_ls8c_ard_3-2-1_097071_2024-03-01_final
2024-03-05 09:39:08	ga_ls8c_ard_3-2-1_093085_2024-03-05_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