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
2021-04-24 10:08:21	ga_ls8c_ard_3-2-1_099066_2021-04-24_final
2021-07-13 10:08:38	ga_ls8c_ard_3-2-1_099066_2021-07-13_final
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2022-11-05 10:09:22	ga_ls8c_ard_3-2-1_099066_2022-11-05_final
2023-07-13 10:51:06	ga_ls8c_ard_3-2-1_105080_2023-07-13_final
2023-07-20 10:55:41	ga_ls8c_ard_3-2-1_106076_2023-07-20_final
2023-07-20 10:57:40	ga_ls8c_ard_3-2-1_106081_2023-07-20_final
2023-07-21 10:01:39	ga_ls8c_ard_3-2-1_097080_2023-07-21_final
2023-07-22 10:40:57	ga_ls8c_ard_3-2-1_104070_2023-07-22_final
2023-07-25 11:13:29	ga_ls8c_ard_3-2-1_109074_2023-07-25_final
2023-07-27 11:01:57	ga_ls8c_ard_3-2-1_107076_2023-07-27_final
2023-07-29 10:50:01	ga_ls8c_ard_3-2-1_105077_2023-07-29_final
2023-07-30 09:57:36	ga_ls8c_ard_3-2-1_096085_2023-07-30_final
2023-08-01 09:44:03	ga_ls8c_ard_3-2-1_094082_2023-08-01_final
2023-08-01 09:45:15	ga_ls8c_ard_3-2-1_094085_2023-08-01_final
2023-08-03 09:31:18	ga_ls8c_ard_3-2-1_092081_2023-08-03_final
2023-08-03 11:08:12	ga_ls8c_ard_3-2-1_108076_2023-08-03_final
2023-08-07 10:41:05	ga_ls8c_ard_3-2-1_104070_2023-08-07_final
2023-08-10 11:13:59	ga_ls8c_ard_3-2-1_109075_2023-08-10_final
2023-08-14 10:49:42	ga_ls8c_ard_3-2-1_105076_2023-08-14_final
2023-08-14 10:50:06	ga_ls8c_ard_3-2-1_105077_2023-08-14_final
2023-08-14 10:50:54	ga_ls8c_ard_3-2-1_105079_2023-08-14_final
2023-08-16 10:34:11	ga_ls8c_ard_3-2-1_103068_2023-08-16_final
2023-08-24 09:51:35	ga_ls8c_ard_3-2-1_095085_2023-08-24_final
2023-08-25 10:28:28	ga_ls8c_ard_3-2-1_102069_2023-08-25_final
2023-08-25 10:33:15	ga_ls8c_ard_3-2-1_102081_2023-08-25_final
2023-08-28 11:02:10	ga_ls8c_ard_3-2-1_107076_2023-08-28_final
2023-08-30 10:50:12	ga_ls8c_ard_3-2-1_105077_2023-08-30_final
2023-09-01 10:34:15	ga_ls8c_ard_3-2-1_103068_2023-09-01_final
2023-09-02 11:19:54	ga_ls8c_ard_3-2-1_110074_2023-09-02_final
2023-09-04 09:31:26	ga_ls8c_ard_3-2-1_092081_2023-09-04_final
2023-09-04 11:08:43	ga_ls8c_ard_3-2-1_108077_2023-09-04_final
2023-09-09 11:25:41	ga_ls8c_ard_3-2-1_111073_2023-09-09_final
2023-09-11 09:37:39	ga_ls8c_ard_3-2-1_093081_2023-09-11_final
2023-09-13 11:05:00	ga_ls8c_ard_3-2-1_107083_2023-09-13_final
2023-09-13 12:37:30	ga_ls8c_ard_3-2-1_123067_2023-09-13_final
2023-09-15 10:51:27	ga_ls8c_ard_3-2-1_105080_2023-09-15_final
2023-09-23 10:04:01	ga_ls8c_ard_3-2-1_097085_2023-09-23_final
2023-09-27 11:15:02	ga_ls8c_ard_3-2-1_109077_2023-09-27_final
2023-09-29 11:03:05	ga_ls8c_ard_3-2-1_107078_2023-09-29_final
2023-09-29 11:05:05	ga_ls8c_ard_3-2-1_107083_2023-09-29_final
2023-10-01 10:51:31	ga_ls8c_ard_3-2-1_105080_2023-10-01_final
2023-10-08 10:58:31	ga_ls8c_ard_3-2-1_106082_2023-10-08_final
2023-10-17 10:50:21	ga_ls8c_ard_3-2-1_105077_2023-10-17_final
2023-10-20 11:20:02	ga_ls8c_ard_3-2-1_110074_2023-10-20_final
2023-10-22 09:31:13	ga_ls8c_ard_3-2-1_092080_2023-10-22_final
2023-10-28 10:28:41	ga_ls8c_ard_3-2-1_102069_2023-10-28_final
2023-10-31 11:02:23	ga_ls8c_ard_3-2-1_107076_2023-10-31_final
2023-10-31 11:02:47	ga_ls8c_ard_3-2-1_107077_2023-10-31_final
2023-11-01 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-01_final
2023-11-02 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-02_final
2023-11-04 10:39:14	ga_ls8c_ard_3-2-1_103080_2023-11-04_final
2023-11-05 09:46:24	ga_ls8c_ard_3-2-1_094087_2023-11-05_final
2023-11-07 09:29:38	ga_ls8c_ard_3-2-1_092076_2023-11-06_final
2023-11-07 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-11-07_final
2023-11-08 10:16:04	ga_ls8c_ard_3-2-1_099084_2023-11-08_final
2023-11-09 09:20:49	ga_ls8c_ard_3-2-1_090085_2023-11-08_final
2023-11-12 09:46:09	ga_ls8c_ard_3-2-1_095071_2023-11-12_final
2023-11-14 09:38:13	ga_ls8c_ard_3-2-1_093082_2023-11-14_final
2023-11-16 11:03:10	ga_ls8c_ard_3-2-1_107078_2023-11-16_final
2023-11-17 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-17_final
2023-11-18 10:46:26	ga_ls8c_ard_3-2-1_105067_2023-11-18_final
2023-11-18 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-18_final
2023-11-23 11:07:48	ga_ls8c_ard_3-2-1_108074_2023-11-23_final
2023-11-23 11:10:35	ga_ls8c_ard_3-2-1_108081_2023-11-23_final
2023-11-28 09:49:02	ga_ls8c_ard_3-2-1_095078_2023-11-28_final
2023-12-02 11:02:21	ga_ls8c_ard_3-2-1_107076_2023-12-02_final
2023-12-03 10:09:54	ga_ls8c_ard_3-2-1_098084_2023-12-03_final
2023-12-04 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-12-04_final
2023-12-07 09:40:42	ga_ls8c_ard_3-2-1_094073_2023-12-07_final
2023-12-09 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-12-09_final
2023-12-09 09:31:34	ga_ls8c_ard_3-2-1_092081_2023-12-09_final
2023-12-13 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-12_final
2023-12-16 11:11:56	ga_ls8c_ard_3-2-1_109069_2023-12-16_final
2023-12-18 11:03:10	ga_ls8c_ard_3-2-1_107078_2023-12-18_final
2023-12-25 09:32:28	ga_ls8c_ard_3-2-1_092083_2023-12-25_final
2023-12-25 11:07:21	ga_ls8c_ard_3-2-1_108073_2023-12-25_final
2024-01-01 09:36:10	ga_ls8c_ard_3-2-1_093077_2024-01-01_final
2024-01-03 11:03:27	ga_ls8c_ard_3-2-1_107079_2024-01-03_final
2024-01-06 09:56:15	ga_ls8c_ard_3-2-1_096081_2024-01-06_final
2024-01-10 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-01-10_final
2024-01-19 11:02:40	ga_ls8c_ard_3-2-1_107077_2024-01-19_final
2024-01-26 11:07:33	ga_ls8c_ard_3-2-1_108074_2024-01-26_final
2024-02-02 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-02_final
2024-02-02 11:14:12	ga_ls8c_ard_3-2-1_109075_2024-02-02_final
2024-02-06 09:15:48	ga_ls8c_ard_3-2-1_089088_2024-02-05_final
2024-02-08 10:34:21	ga_ls8c_ard_3-2-1_103068_2024-02-08_final
2024-02-11 09:31:33	ga_ls8c_ard_3-2-1_092081_2024-02-11_final
2024-02-15 10:40:54	ga_ls8c_ard_3-2-1_104069_2024-02-15_final
2024-02-18 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-18_final
2024-02-19 08:42:29	ga_ls8c_ard_3-2-1_084082_2024-02-18_final
2024-02-19 11:57:27	ga_ls8c_ard_3-2-1_116075_2024-02-19_final
2024-02-19 11:57:51	ga_ls8c_ard_3-2-1_116076_2024-02-19_final
2024-02-24 10:39:05	ga_ls8c_ard_3-2-1_103080_2024-02-24_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
2024-02-29 09:21:05	ga_ls8c_ard_3-2-1_090086_2024-02-28_final
2024-03-03 09:51:32	ga_ls8c_ard_3-2-1_095085_2024-03-03_final
2024-03-05 11:16:25	ga_ls8c_ard_3-2-1_109081_2024-03-05_final
2024-03-10 09:57:38	ga_ls8c_ard_3-2-1_096085_2024-03-10_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