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
2021-03-15 12:37:18	ga_ls8c_ard_3-2-1_123067_2021-03-15_final
2021-11-09 08:42:48	ga_ls8c_ard_3-2-1_084082_2021-11-08_final
2022-03-01 11:57:24	ga_ls8c_ard_3-2-1_116075_2022-03-01_final
2022-08-02 12:31:43	ga_ls8c_ard_3-2-1_122067_2022-08-02_final
2023-05-18 11:41:42	ga_ls8c_ard_3-2-1_113084_2023-05-18_final
2023-08-31 09:52:35	ga_ls8c_ard_3-2-1_096072_2023-08-31_final
2023-08-31 09:56:34	ga_ls8c_ard_3-2-1_096082_2023-08-31_final
2023-09-06 10:53:57	ga_ls8c_ard_3-2-1_106071_2023-09-06_final
2023-09-06 10:57:32	ga_ls8c_ard_3-2-1_106080_2023-09-06_final
2023-09-11 09:35:39	ga_ls8c_ard_3-2-1_093076_2023-09-11_final
2023-09-13 11:00:36	ga_ls8c_ard_3-2-1_107072_2023-09-13_final
2023-09-16 09:51:51	ga_ls8c_ard_3-2-1_096070_2023-09-16_final
2023-09-16 09:57:02	ga_ls8c_ard_3-2-1_096083_2023-09-16_final
2023-09-18 09:43:53	ga_ls8c_ard_3-2-1_094081_2023-09-18_final
2023-09-18 09:45:05	ga_ls8c_ard_3-2-1_094084_2023-09-18_final
2023-09-18 09:46:17	ga_ls8c_ard_3-2-1_094087_2023-09-18_final
2023-09-23 10:00:26	ga_ls8c_ard_3-2-1_097076_2023-09-23_final
2023-09-23 10:02:49	ga_ls8c_ard_3-2-1_097082_2023-09-23_final
2023-09-25 09:47:42	ga_ls8c_ard_3-2-1_095075_2023-09-25_final
2023-09-25 11:30:10	ga_ls8c_ard_3-2-1_111084_2023-09-25_final
2023-09-29 11:04:41	ga_ls8c_ard_3-2-1_107082_2023-09-29_final
2023-10-01 09:14:14	ga_ls8c_ard_3-2-1_089084_2023-09-30_final
2023-10-02 09:56:42	ga_ls8c_ard_3-2-1_096082_2023-10-02_final
2023-10-06 09:31:10	ga_ls8c_ard_3-2-1_092080_2023-10-06_final
2023-10-07 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-10-07_final
2023-10-08 09:20:26	ga_ls8c_ard_3-2-1_090084_2023-10-07_final
2023-10-09 11:41:23	ga_ls8c_ard_3-2-1_113081_2023-10-09_final
2023-10-11 11:25:51	ga_ls8c_ard_3-2-1_111073_2023-10-11_final
2023-10-13 09:38:36	ga_ls8c_ard_3-2-1_093083_2023-10-13_final
2023-10-21 10:22:50	ga_ls8c_ard_3-2-1_101070_2023-10-21_final
2023-10-25 11:41:50	ga_ls8c_ard_3-2-1_113082_2023-10-25_final
2023-10-26 10:41:50	ga_ls8c_ard_3-2-1_104071_2023-10-26_final
2023-11-01 10:05:34	ga_ls8c_ard_3-2-1_098073_2023-11-01_final
2023-11-02 09:15:07	ga_ls8c_ard_3-2-1_089086_2023-11-01_final
2023-11-12 09:47:45	ga_ls8c_ard_3-2-1_095075_2023-11-12_final
2023-11-12 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-11-12_final
2023-11-12 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-11-12_final
2023-11-14 09:38:13	ga_ls8c_ard_3-2-1_093082_2023-11-14_final
2023-11-14 09:38:37	ga_ls8c_ard_3-2-1_093083_2023-11-14_final
2023-11-14 11:16:18	ga_ls8c_ard_3-2-1_109080_2023-11-14_final
2023-11-19 11:35:41	ga_ls8c_ard_3-2-1_112082_2023-11-19_final
2023-11-20 10:36:53	ga_ls8c_ard_3-2-1_103074_2023-11-20_final
2023-11-23 09:33:42	ga_ls8c_ard_3-2-1_092086_2023-11-23_final
2023-11-25 10:55:02	ga_ls8c_ard_3-2-1_106073_2023-11-25_final
2023-11-25 10:55:26	ga_ls8c_ard_3-2-1_106074_2023-11-25_final
2023-11-29 10:32:17	ga_ls8c_ard_3-2-1_102078_2023-11-29_final
2023-11-29 10:32:41	ga_ls8c_ard_3-2-1_102079_2023-11-29_final
2023-12-11 09:20:26	ga_ls8c_ard_3-2-1_090084_2023-12-10_final
2023-12-11 12:31:25	ga_ls8c_ard_3-2-1_122067_2023-12-11_final
2023-12-12 09:59:43	ga_ls8c_ard_3-2-1_097074_2023-12-12_final
2023-12-16 09:38:14	ga_ls8c_ard_3-2-1_093082_2023-12-16_final
2023-12-19 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-12-19_final
2023-12-20 10:48:25	ga_ls8c_ard_3-2-1_105072_2023-12-20_final
2023-12-20 10:51:37	ga_ls8c_ard_3-2-1_105080_2023-12-20_final
2023-12-23 09:45:38	ga_ls8c_ard_3-2-1_094085_2023-12-23_final
2023-12-24 10:24:30	ga_ls8c_ard_3-2-1_101074_2023-12-24_final
2023-12-26 11:51:24	ga_ls8c_ard_3-2-1_115075_2023-12-26_final
2023-12-27 09:19:41	ga_ls8c_ard_3-2-1_090082_2023-12-26_final
2023-12-27 10:54:59	ga_ls8c_ard_3-2-1_106073_2023-12-27_final
2023-12-27 10:57:46	ga_ls8c_ard_3-2-1_106080_2023-12-27_final
2023-12-29 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-29_final
2023-12-30 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-12-30_final
2024-01-01 09:39:22	ga_ls8c_ard_3-2-1_093085_2024-01-01_final
2024-01-01 09:40:10	ga_ls8c_ard_3-2-1_093087_2024-01-01_final
2024-01-08 11:20:24	ga_ls8c_ard_3-2-1_110075_2024-01-08_final
2024-01-10 09:31:10	ga_ls8c_ard_3-2-1_092080_2024-01-10_final
2024-01-11 10:12:26	ga_ls8c_ard_3-2-1_099075_2024-01-11_final
2024-01-12 10:56:06	ga_ls8c_ard_3-2-1_106076_2024-01-12_final
2024-01-13 09:59:17	ga_ls8c_ard_3-2-1_097073_2024-01-13_final
2024-01-18 10:17:25	ga_ls8c_ard_3-2-1_100072_2024-01-18_final
2024-01-25 10:24:18	ga_ls8c_ard_3-2-1_101074_2024-01-25_final
2024-01-27 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-01-27_final
2024-01-27 11:51:36	ga_ls8c_ard_3-2-1_115076_2024-01-27_final
2024-01-30 10:44:52	ga_ls8c_ard_3-2-1_104079_2024-01-30_final
2024-02-02 09:34:55	ga_ls8c_ard_3-2-1_093074_2024-02-02_final
2024-02-05 10:05:26	ga_ls8c_ard_3-2-1_098073_2024-02-05_final
2024-02-09 09:43:55	ga_ls8c_ard_3-2-1_094081_2024-02-09_final
2024-02-11 09:29:33	ga_ls8c_ard_3-2-1_092076_2024-02-10_final
2024-02-17 10:33:43	ga_ls8c_ard_3-2-1_102082_2024-02-17_final
2024-02-18 09:35:42	ga_ls8c_ard_3-2-1_093076_2024-02-18_final
2024-02-18 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-18_final
2024-02-27 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-02-27_final
2024-03-01 10:03:31	ga_ls8c_ard_3-2-1_097084_2024-03-01_final
2024-03-03 09:46:45	ga_ls8c_ard_3-2-1_095073_2024-03-03_final
2024-03-05 09:35:08	ga_ls8c_ard_3-2-1_093075_2024-03-05_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_final
2024-03-09 10:46:28	ga_ls8c_ard_3-2-1_105068_2024-03-09_final
2024-03-14 09:32:05	ga_ls8c_ard_3-2-1_092083_2024-03-14_final
2024-03-17 11:41:03	ga_ls8c_ard_3-2-1_113081_2024-03-17_final
2024-03-18 10:42:13	ga_ls8c_ard_3-2-1_104073_2024-03-18_final
2024-03-21 09:38:11	ga_ls8c_ard_3-2-1_093083_2024-03-21_final
2024-03-27 10:34:15	ga_ls8c_ard_3-2-1_103069_2024-03-27_final
2024-03-28 09:45:24	ga_ls8c_ard_3-2-1_094086_2024-03-28_final
2024-03-29 10:23:29	ga_ls8c_ard_3-2-1_101073_2024-03-29_final
2024-03-30 09:30:39	ga_ls8c_ard_3-2-1_092080_2024-03-30_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-02 09:58:22	ga_ls8c_ard_3-2-1_097072_2024-04-02_final
2024-04-02 11:40:51	ga_ls8c_ard_3-2-1_113081_2024-04-02_final
2024-04-03 09:06:45	ga_ls8c_ard_3-2-1_088082_2024-04-02_final
2024-04-04 09:50:00	ga_ls8c_ard_3-2-1_095082_2024-04-04_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