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
2018-11-17 08:42:21	ga_ls8c_ard_3-2-1_084082_2018-11-16_final
2020-03-28 12:37:12	ga_ls8c_ard_3-2-1_123067_2020-03-28_final
2022-01-12 11:57:37	ga_ls8c_ard_3-2-1_116075_2022-01-12_final
2023-08-27 10:20:54	ga_ls8c_ard_3-2-1_100081_2023-08-27_final
2023-08-28 09:24:05	ga_ls8c_ard_3-2-1_091078_2023-08-27_final
2023-08-30 10:47:24	ga_ls8c_ard_3-2-1_105070_2023-08-30_final
2023-08-31 09:56:10	ga_ls8c_ard_3-2-1_096081_2023-08-31_final
2023-08-31 11:35:03	ga_ls8c_ard_3-2-1_112081_2023-08-31_final
2023-09-04 09:31:26	ga_ls8c_ard_3-2-1_092081_2023-09-04_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 09:56:14	ga_ls8c_ard_3-2-1_096081_2023-09-16_final
2023-09-16 09:56:38	ga_ls8c_ard_3-2-1_096082_2023-09-16_final
2023-09-17 10:37:30	ga_ls8c_ard_3-2-1_103076_2023-09-17_final
2023-09-18 09:43:53	ga_ls8c_ard_3-2-1_094081_2023-09-18_final
2023-09-18 11:22:22	ga_ls8c_ard_3-2-1_110080_2023-09-18_final
2023-09-20 09:29:56	ga_ls8c_ard_3-2-1_092077_2023-09-19_final
2023-09-20 11:06:49	ga_ls8c_ard_3-2-1_108072_2023-09-20_final
2023-09-20 11:10:01	ga_ls8c_ard_3-2-1_108080_2023-09-20_final
2023-09-28 10:18:37	ga_ls8c_ard_3-2-1_100075_2023-09-28_final
2023-10-02 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-10-02_final
2023-10-02 11:35:11	ga_ls8c_ard_3-2-1_112081_2023-10-02_final
2023-10-04 09:41:32	ga_ls8c_ard_3-2-1_094075_2023-10-04_final
2023-10-06 11:10:03	ga_ls8c_ard_3-2-1_108080_2023-10-06_final
2023-10-06 11:10:51	ga_ls8c_ard_3-2-1_108082_2023-10-06_final
2023-10-09 10:02:30	ga_ls8c_ard_3-2-1_097081_2023-10-09_final
2023-10-11 11:27:51	ga_ls8c_ard_3-2-1_111078_2023-10-11_final
2023-10-13 09:36:12	ga_ls8c_ard_3-2-1_093077_2023-10-13_final
2023-10-13 09:36:36	ga_ls8c_ard_3-2-1_093078_2023-10-13_final
2023-10-20 09:43:57	ga_ls8c_ard_3-2-1_094081_2023-10-20_final
2023-10-22 09:31:37	ga_ls8c_ard_3-2-1_092081_2023-10-22_final
2023-10-25 10:02:33	ga_ls8c_ard_3-2-1_097081_2023-10-25_final
2023-10-25 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-10-25_final
2023-10-26 10:44:13	ga_ls8c_ard_3-2-1_104077_2023-10-26_final
2023-10-27 09:51:24	ga_ls8c_ard_3-2-1_095084_2023-10-27_final
2023-10-28 10:32:40	ga_ls8c_ard_3-2-1_102079_2023-10-28_final
2023-11-04 10:39:14	ga_ls8c_ard_3-2-1_103080_2023-11-04_final
2023-11-05 09:43:37	ga_ls8c_ard_3-2-1_094080_2023-11-05_final
2023-11-09 10:58:30	ga_ls8c_ard_3-2-1_106082_2023-11-09_final
2023-11-10 10:02:28	ga_ls8c_ard_3-2-1_097081_2023-11-10_final
2023-11-13 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-11-13_final
2023-11-19 11:34:53	ga_ls8c_ard_3-2-1_112080_2023-11-19_final
2023-11-20 10:40:04	ga_ls8c_ard_3-2-1_103082_2023-11-20_final
2023-11-21 09:42:04	ga_ls8c_ard_3-2-1_094076_2023-11-21_final
2023-11-21 09:44:03	ga_ls8c_ard_3-2-1_094081_2023-11-21_final
2023-11-23 09:31:18	ga_ls8c_ard_3-2-1_092080_2023-11-23_final
2023-11-24 10:14:58	ga_ls8c_ard_3-2-1_099081_2023-11-24_final
2023-11-26 10:03:00	ga_ls8c_ard_3-2-1_097082_2023-11-26_final
2023-12-03 10:08:42	ga_ls8c_ard_3-2-1_098081_2023-12-03_final
2023-12-03 10:09:06	ga_ls8c_ard_3-2-1_098082_2023-12-03_final
2023-12-05 11:33:11	ga_ls8c_ard_3-2-1_112076_2023-12-05_final
2023-12-09 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-12-09_final
2023-12-14 09:48:11	ga_ls8c_ard_3-2-1_095076_2023-12-14_final
2023-12-14 09:50:10	ga_ls8c_ard_3-2-1_095081_2023-12-14_final
2023-12-15 10:32:39	ga_ls8c_ard_3-2-1_102079_2023-12-15_final
2023-12-25 11:10:09	ga_ls8c_ard_3-2-1_108080_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
2023-12-31 10:32:36	ga_ls8c_ard_3-2-1_102079_2023-12-31_final
2024-01-01 11:15:27	ga_ls8c_ard_3-2-1_109078_2024-01-01_final
2024-01-06 09:54:39	ga_ls8c_ard_3-2-1_096077_2024-01-06_final
2024-01-06 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-06_final
2024-01-23 10:39:54	ga_ls8c_ard_3-2-1_103082_2024-01-23_final
2024-01-26 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-01-26_final
2024-01-28 10:58:23	ga_ls8c_ard_3-2-1_106082_2024-01-28_final
2024-01-31 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-01-31_final
2024-02-02 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-02_final
2024-02-07 09:54:41	ga_ls8c_ard_3-2-1_096077_2024-02-07_final
2024-02-09 09:42:19	ga_ls8c_ard_3-2-1_094077_2024-02-09_final
2024-02-12 10:14:49	ga_ls8c_ard_3-2-1_099081_2024-02-12_final
2024-02-14 10:02:26	ga_ls8c_ard_3-2-1_097081_2024-02-14_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-16 11:27:21	ga_ls8c_ard_3-2-1_111077_2024-02-16_final
2024-02-18 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-18_final
2024-02-23 09:54:14	ga_ls8c_ard_3-2-1_096076_2024-02-23_final
2024-02-23 11:34:43	ga_ls8c_ard_3-2-1_112080_2024-02-23_final
2024-02-25 09:43:27	ga_ls8c_ard_3-2-1_094080_2024-02-25_final
2024-02-27 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-02-26_final
2024-03-01 11:40:25	ga_ls8c_ard_3-2-1_113079_2024-03-01_final
2024-03-04 10:32:23	ga_ls8c_ard_3-2-1_102079_2024-03-04_final
2024-03-06 10:20:46	ga_ls8c_ard_3-2-1_100081_2024-03-06_final
2024-03-10 09:56:02	ga_ls8c_ard_3-2-1_096081_2024-03-10_final
2024-03-10 11:34:31	ga_ls8c_ard_3-2-1_112080_2024-03-10_final
2024-03-11 10:38:29	ga_ls8c_ard_3-2-1_103079_2024-03-11_final
2024-03-18 10:41:49	ga_ls8c_ard_3-2-1_104072_2024-03-18_final
2024-03-19 09:50:10	ga_ls8c_ard_3-2-1_095082_2024-03-19_final
2024-03-20 10:31:49	ga_ls8c_ard_3-2-1_102078_2024-03-20_final
2024-03-20 10:32:13	ga_ls8c_ard_3-2-1_102079_2024-03-20_final
2024-03-21 11:15:28	ga_ls8c_ard_3-2-1_109079_2024-03-21_nrt
2024-03-30 09:32:15	ga_ls8c_ard_3-2-1_092084_2024-03-30_final
2024-04-02 10:02:46	ga_ls8c_ard_3-2-1_097083_2024-04-02_final
2024-04-03 10:40:50	ga_ls8c_ard_3-2-1_104070_2024-04-03_final
2024-04-06 11:16:08	ga_ls8c_ard_3-2-1_109081_2024-04-06_nrt
2024-04-08 11:00:34	ga_ls8c_ard_3-2-1_107073_2024-04-08_nrt
2024-04-08 11:02:57	ga_ls8c_ard_3-2-1_107079_2024-04-08_nrt
2024-04-09 11:47:01	ga_ls8c_ard_3-2-1_114081_2024-04-09_nrt
2024-04-12 10:36:37	ga_ls8c_ard_3-2-1_103075_2024-04-12_nrt
2024-04-13 09:42:35	ga_ls8c_ard_3-2-1_094079_2024-04-13_nrt
2024-04-15 11:06:17	ga_ls8c_ard_3-2-1_108072_2024-04-15_nrt
2024-04-18 09:59:51	ga_ls8c_ard_3-2-1_097076_2024-04-18_nrt

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