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
2021-09-27 10:34:35	ga_ls8c_ard_3-2-0_103068_2021-09-27_final
2021-10-02 09:19:03	ga_ls8c_ard_3-2-0_090080_2021-10-01_final
2021-10-06 10:33:39	ga_ls8c_ard_3-2-0_102081_2021-10-06_final
2021-10-30 11:21:08	ga_ls8c_ard_3-2-0_110076_2021-10-30_final
2021-11-13 11:29:50	ga_ls8c_ard_3-2-0_112067_2021-11-13_final
2021-12-05 09:17:04	ga_ls8c_ard_3-2-0_090075_2021-12-04_final
2021-12-06 11:38:48	ga_ls8c_ard_3-2-1_113074_2021-12-06_final
2021-12-11 10:17:16	ga_ls8c_ard_3-2-1_100071_2021-12-11_final
2021-12-19 11:06:41	ga_ls8c_ard_3-2-1_108071_2021-12-19_final
2021-12-26 09:39:31	ga_ls8c_ard_3-2-1_093085_2021-12-26_final
2022-01-11 11:17:09	ga_ls8c_ard_3-2-1_109082_2022-01-11_final
2022-01-26 10:28:37	ga_ls8c_ard_3-2-1_102069_2022-01-26_final
2022-02-03 09:39:58	ga_ls8c_ard_3-2-1_094071_2022-02-03_final
2022-02-03 11:20:50	ga_ls8c_ard_3-2-1_110076_2022-02-03_final
2022-02-23 10:56:01	ga_ls8c_ard_3-2-1_106076_2022-02-23_final
2022-03-01 10:20:07	ga_ls8c_ard_3-2-1_100079_2022-03-01_final
2022-03-09 09:28:39	ga_ls8c_ard_3-2-1_092074_2022-03-08_final
2022-03-16 09:33:58	ga_ls8c_ard_3-2-1_093072_2022-03-16_final
2022-03-20 09:12:48	ga_ls8c_ard_3-2-1_089081_2022-03-19_final
2022-04-06 11:31:14	ga_ls8c_ard_3-2-1_112072_2022-04-06_final
2022-04-12 09:22:07	ga_ls8c_ard_3-2-1_090089_2022-04-11_final
2022-05-02 10:28:40	ga_ls8c_ard_3-2-1_102070_2022-05-02_final
2022-05-05 11:01:36	ga_ls8c_ard_3-2-1_107075_2022-05-05_final
2022-05-10 11:20:36	ga_ls8c_ard_3-2-1_110076_2022-05-10_final
2022-05-15 09:57:54	ga_ls8c_ard_3-2-1_097070_2022-05-15_final
2022-05-21 09:28:49	ga_ls8c_ard_3-2-1_091090_2022-05-20_final
2022-05-23 10:48:09	ga_ls8c_ard_3-2-1_105072_2022-05-23_final
2022-06-07 10:02:38	ga_ls8c_ard_3-2-1_098066_2022-06-07_final
2022-06-09 11:32:46	ga_ls8c_ard_3-2-1_112075_2022-06-09_final
2022-06-11 09:43:33	ga_ls8c_ard_3-2-1_094080_2022-06-11_final
2022-06-13 09:29:13	ga_ls8c_ard_3-2-1_092075_2022-06-12_final
2022-06-13 09:33:12	ga_ls8c_ard_3-2-1_092085_2022-06-13_final
2022-06-15 10:56:09	ga_ls8c_ard_3-2-1_106076_2022-06-15_final
2022-07-10 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-07-09_final
2022-07-11 11:35:41	ga_ls8c_ard_3-2-1_112082_2022-07-11_final
2022-07-18 11:38:42	ga_ls8c_ard_3-2-1_113074_2022-07-18_final
2022-07-26 09:15:16	ga_ls8c_ard_3-2-1_089086_2022-07-25_final
2022-07-30 10:23:53	ga_ls8c_ard_3-2-1_101072_2022-07-30_final
2022-08-19 10:01:18	ga_ls8c_ard_3-2-1_097077_2022-08-19_final
2022-08-24 10:17:50	ga_ls8c_ard_3-2-1_100072_2022-08-24_final
2022-09-03 10:54:07	ga_ls8c_ard_3-2-1_106070_2022-09-03_final
2022-09-06 09:51:45	ga_ls8c_ard_3-2-1_095084_2022-09-06_final
2022-09-19 09:21:44	ga_ls8c_ard_3-2-1_090086_2022-09-18_final
2022-09-26 09:24:20	ga_ls8c_ard_3-2-1_091077_2022-09-25_final
2022-09-26 11:02:01	ga_ls8c_ard_3-2-1_107074_2022-09-26_final
2022-10-08 09:47:47	ga_ls8c_ard_3-2-1_095074_2022-10-08_final
2022-10-12 09:29:23	ga_ls8c_ard_3-2-1_091090_2022-10-11_final
2022-10-22 09:57:45	ga_ls8c_ard_3-2-1_097068_2022-10-22_final
2022-10-24 09:50:12	ga_ls8c_ard_3-2-1_095080_2022-10-24_final
2022-11-18 09:45:31	ga_ls8c_ard_3-2-1_094084_2022-11-18_final
2022-12-07 11:52:33	ga_ls8c_ard_3-2-1_115077_2022-12-07_final
2023-01-17 10:04:50	ga_ls8c_ard_3-2-1_098071_2023-01-17_final
2023-01-25 09:22:39	ga_ls8c_ard_3-2-1_090089_2023-01-24_final
2023-02-07 10:23:51	ga_ls8c_ard_3-2-1_101072_2023-02-07_final
2023-03-14 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-03-14_final
2023-03-22 10:04:48	ga_ls8c_ard_3-2-1_098072_2023-03-22_final
2023-03-31 09:58:09	ga_ls8c_ard_3-2-1_097071_2023-03-31_final
2023-04-11 11:19:28	ga_ls8c_ard_3-2-1_110074_2023-04-11_final
2023-04-16 10:01:06	ga_ls8c_ard_3-2-1_097079_2023-04-16_final
2023-04-24 10:48:31	ga_ls8c_ard_3-2-1_105074_2023-04-24_final
2023-04-25 09:52:30	ga_ls8c_ard_3-2-1_096073_2023-04-25_final
2023-04-30 10:15:00	ga_ls8c_ard_3-2-1_099083_2023-04-30_final
2023-05-08 11:00:44	ga_ls8c_ard_3-2-1_107074_2023-05-08_final
2023-05-10 09:13:27	ga_ls8c_ard_3-2-1_089084_2023-05-09_final
2023-05-10 09:13:51	ga_ls8c_ard_3-2-1_089085_2023-05-09_final
2023-05-13 09:39:55	ga_ls8c_ard_3-2-1_094073_2023-05-13_final
2023-06-02 10:55:17	ga_ls8c_ard_3-2-1_106076_2023-06-02_final
2023-06-21 11:29:09	ga_ls8c_ard_3-2-1_111083_2023-06-21_final
2023-06-23 11:17:11	ga_ls8c_ard_3-2-1_109084_2023-06-23_final
2023-07-11 11:00:40	ga_ls8c_ard_3-2-1_107073_2023-07-11_final
2023-07-27 10:59:58	ga_ls8c_ard_3-2-1_107071_2023-07-27_final
2023-08-14 09:15:36	ga_ls8c_ard_3-2-1_089088_2023-08-13_final
2023-08-17 09:40:34	ga_ls8c_ard_3-2-1_094073_2023-08-17_final
2023-08-22 09:59:33	ga_ls8c_ard_3-2-1_097074_2023-08-22_final
2023-09-02 09:41:01	ga_ls8c_ard_3-2-1_094074_2023-09-02_final
2023-09-02 11:23:29	ga_ls8c_ard_3-2-1_110083_2023-09-02_final
2023-09-04 09:28:38	ga_ls8c_ard_3-2-1_092074_2023-09-03_final
2023-09-04 11:07:07	ga_ls8c_ard_3-2-1_108073_2023-09-04_final
2023-09-05 10:15:29	ga_ls8c_ard_3-2-1_099083_2023-09-05_final
2023-09-15 09:12:34	ga_ls8c_ard_3-2-1_089080_2023-09-14_final
2023-09-15 09:12:58	ga_ls8c_ard_3-2-1_089081_2023-09-14_final
2023-09-15 10:46:40	ga_ls8c_ard_3-2-1_105068_2023-09-15_final
2023-09-16 09:58:14	ga_ls8c_ard_3-2-1_096086_2023-09-16_final
2023-09-18 11:23:34	ga_ls8c_ard_3-2-1_110083_2023-09-18_final
2023-10-01 09:10:15	ga_ls8c_ard_3-2-1_089074_2023-09-30_final
2023-10-15 09:25:02	ga_ls8c_ard_3-2-1_091080_2023-10-14_final
2023-10-25 09:59:21	ga_ls8c_ard_3-2-1_097073_2023-10-25_final
2023-10-30 10:17:07	ga_ls8c_ard_3-2-1_100071_2023-10-30_final
2023-11-05 11:19:42	ga_ls8c_ard_3-2-1_110073_2023-11-05_final
2023-11-13 10:29:02	ga_ls8c_ard_3-2-1_102070_2023-11-13_final
2023-12-04 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-12-04_final
2023-12-08 10:23:59	ga_ls8c_ard_3-2-1_101073_2023-12-08_final
2023-12-27 09:22:05	ga_ls8c_ard_3-2-1_090088_2023-12-26_final
2024-01-03 09:24:34	ga_ls8c_ard_3-2-1_091079_2024-01-02_final
2024-01-04 11:44:42	ga_ls8c_ard_3-2-1_114074_2024-01-04_final
2024-02-04 11:00:15	ga_ls8c_ard_3-2-1_107071_2024-02-04_final
2024-02-17 10:28:32	ga_ls8c_ard_3-2-1_102069_2024-02-17_final
2024-02-19 10:21:46	ga_ls8c_ard_3-2-1_100083_2024-02-19_final
2024-03-07 09:26:44	ga_ls8c_ard_3-2-1_091085_2024-03-06_final
2024-03-12 09:41:16	ga_ls8c_ard_3-2-1_094075_2024-03-12_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