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
2019-11-14 12:31:38	ga_ls8c_ard_3-2-1_122067_2019-11-14_final
2022-10-22 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-22_final
2023-10-03 10:39:10	ga_ls8c_ard_3-2-1_103080_2023-10-03_final
2023-10-16 10:05:06	ga_ls8c_ard_3-2-1_098072_2023-10-16_final
2023-10-17 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-10-16_final
2023-10-17 10:47:10	ga_ls8c_ard_3-2-1_105069_2023-10-17_final
2023-10-22 09:29:13	ga_ls8c_ard_3-2-1_092075_2023-10-21_final
2023-10-22 09:29:37	ga_ls8c_ard_3-2-1_092076_2023-10-21_final
2023-10-22 11:06:31	ga_ls8c_ard_3-2-1_108071_2023-10-22_final
2023-10-22 11:10:06	ga_ls8c_ard_3-2-1_108080_2023-10-22_final
2023-10-24 09:18:05	ga_ls8c_ard_3-2-1_090078_2023-10-23_final
2023-10-26 09:06:32	ga_ls8c_ard_3-2-1_088080_2023-10-25_final
2023-10-31 09:23:54	ga_ls8c_ard_3-2-1_091077_2023-10-30_final
2023-10-31 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-10-31_final
2023-10-31 11:01:35	ga_ls8c_ard_3-2-1_107074_2023-10-31_final
2023-11-01 11:44:51	ga_ls8c_ard_3-2-1_114074_2023-11-01_final
2023-11-02 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-11-01_final
2023-11-02 10:47:13	ga_ls8c_ard_3-2-1_105069_2023-11-02_final
2023-11-03 09:52:00	ga_ls8c_ard_3-2-1_096070_2023-11-03_final
2023-11-04 10:36:27	ga_ls8c_ard_3-2-1_103073_2023-11-04_final
2023-11-05 09:44:25	ga_ls8c_ard_3-2-1_094082_2023-11-05_final
2023-11-05 11:18:54	ga_ls8c_ard_3-2-1_110071_2023-11-05_final
2023-11-05 11:24:05	ga_ls8c_ard_3-2-1_110084_2023-11-05_final
2023-11-06 10:24:04	ga_ls8c_ard_3-2-1_101073_2023-11-06_final
2023-11-06 10:24:52	ga_ls8c_ard_3-2-1_101075_2023-11-06_final
2023-11-06 10:28:03	ga_ls8c_ard_3-2-1_101083_2023-11-06_final
2023-11-07 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-11-07_final
2023-11-09 09:19:38	ga_ls8c_ard_3-2-1_090082_2023-11-08_final
2023-11-09 10:55:19	ga_ls8c_ard_3-2-1_106074_2023-11-09_final
2023-11-10 11:40:58	ga_ls8c_ard_3-2-1_113080_2023-11-10_final
2023-11-12 11:29:26	ga_ls8c_ard_3-2-1_111082_2023-11-12_final
2023-11-14 11:17:06	ga_ls8c_ard_3-2-1_109082_2023-11-14_final
2023-11-15 10:21:05	ga_ls8c_ard_3-2-1_100081_2023-11-15_final
2023-11-15 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-11-15_final
2023-11-17 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-11-17_final
2023-11-19 09:52:01	ga_ls8c_ard_3-2-1_096070_2023-11-19_final
2023-11-19 09:53:37	ga_ls8c_ard_3-2-1_096074_2023-11-19_final
2023-11-23 11:11:47	ga_ls8c_ard_3-2-1_108084_2023-11-23_final
2023-11-26 10:02:12	ga_ls8c_ard_3-2-1_097080_2023-11-26_final
2023-11-28 11:27:07	ga_ls8c_ard_3-2-1_111076_2023-11-28_final
2023-11-30 11:16:20	ga_ls8c_ard_3-2-1_109080_2023-11-30_final
2023-12-01 10:17:54	ga_ls8c_ard_3-2-1_100073_2023-12-01_final
2023-12-03 10:03:55	ga_ls8c_ard_3-2-1_098069_2023-12-03_final
2023-12-03 10:04:19	ga_ls8c_ard_3-2-1_098070_2023-12-03_final
2023-12-03 11:45:59	ga_ls8c_ard_3-2-1_114077_2023-12-03_final
2023-12-07 09:45:06	ga_ls8c_ard_3-2-1_094084_2023-12-07_final
2023-12-09 11:10:27	ga_ls8c_ard_3-2-1_108081_2023-12-09_final
2023-12-09 11:10:51	ga_ls8c_ard_3-2-1_108082_2023-12-09_final
2023-12-10 10:11:39	ga_ls8c_ard_3-2-1_099073_2023-12-10_final
2023-12-11 09:19:38	ga_ls8c_ard_3-2-1_090082_2023-12-10_final
2023-12-11 09:22:50	ga_ls8c_ard_3-2-1_090090_2023-12-10_final
2023-12-19 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-12-19_final
2023-12-19 11:45:14	ga_ls8c_ard_3-2-1_114075_2023-12-19_final
2023-12-23 09:44:02	ga_ls8c_ard_3-2-1_094081_2023-12-23_final
2023-12-23 11:18:56	ga_ls8c_ard_3-2-1_110071_2023-12-23_final
2023-12-23 11:23:43	ga_ls8c_ard_3-2-1_110083_2023-12-23_final
2023-12-24 10:24:54	ga_ls8c_ard_3-2-1_101075_2023-12-24_final
2023-12-26 10:12:55	ga_ls8c_ard_3-2-1_099076_2023-12-26_final
2023-12-26 10:14:31	ga_ls8c_ard_3-2-1_099080_2023-12-26_final
2023-12-26 10:15:19	ga_ls8c_ard_3-2-1_099082_2023-12-26_final
2023-12-26 11:51:48	ga_ls8c_ard_3-2-1_115076_2023-12-26_final
2023-12-26 11:52:12	ga_ls8c_ard_3-2-1_115077_2023-12-26_final
2023-12-27 10:55:23	ga_ls8c_ard_3-2-1_106074_2023-12-27_final
2023-12-30 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-12-30_final
2024-01-04 11:45:06	ga_ls8c_ard_3-2-1_114075_2024-01-04_final
2024-01-10 09:32:46	ga_ls8c_ard_3-2-1_092084_2024-01-10_final
2024-01-10 11:09:39	ga_ls8c_ard_3-2-1_108079_2024-01-10_final
2024-01-10 11:11:15	ga_ls8c_ard_3-2-1_108083_2024-01-10_final
2024-01-11 11:52:55	ga_ls8c_ard_3-2-1_115079_2024-01-11_final
2024-01-13 11:37:47	ga_ls8c_ard_3-2-1_113072_2024-01-13_final
2024-01-15 09:50:55	ga_ls8c_ard_3-2-1_095083_2024-01-15_final
2024-01-15 11:23:49	ga_ls8c_ard_3-2-1_111068_2024-01-15_final
2024-01-16 10:31:23	ga_ls8c_ard_3-2-1_102076_2024-01-16_final
2024-01-17 11:17:50	ga_ls8c_ard_3-2-1_109084_2024-01-17_final
2024-01-20 11:45:07	ga_ls8c_ard_3-2-1_114075_2024-01-20_final
2024-01-24 09:41:04	ga_ls8c_ard_3-2-1_094074_2024-01-24_final
2024-01-27 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-01-27_final
2024-01-28 10:57:35	ga_ls8c_ard_3-2-1_106080_2024-01-28_final
2024-01-30 09:06:46	ga_ls8c_ard_3-2-1_088081_2024-01-29_final
2024-02-01 10:31:43	ga_ls8c_ard_3-2-1_102077_2024-02-01_final
2024-02-03 10:21:23	ga_ls8c_ard_3-2-1_100082_2024-02-03_final
2024-02-04 11:05:03	ga_ls8c_ard_3-2-1_107083_2024-02-04_final
2024-02-09 11:18:25	ga_ls8c_ard_3-2-1_110070_2024-02-09_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-10 10:23:35	ga_ls8c_ard_3-2-1_101072_2024-02-10_final
2024-02-12 10:12:01	ga_ls8c_ard_3-2-1_099074_2024-02-12_final
2024-02-12 10:12:49	ga_ls8c_ard_3-2-1_099076_2024-02-12_final
2024-02-18 09:34:54	ga_ls8c_ard_3-2-1_093074_2024-02-18_final
2024-02-18 11:17:23	ga_ls8c_ard_3-2-1_109083_2024-02-18_final
2024-02-20 09:23:44	ga_ls8c_ard_3-2-1_091077_2024-02-19_final
2024-02-27 09:33:04	ga_ls8c_ard_3-2-1_092085_2024-02-27_final
2024-02-29 10:57:34	ga_ls8c_ard_3-2-1_106080_2024-02-29_final
2024-03-01 11:40:49	ga_ls8c_ard_3-2-1_113080_2024-03-01_final
2024-03-03 09:48:44	ga_ls8c_ard_3-2-1_095078_2024-03-03_final
2024-03-05 11:16:01	ga_ls8c_ard_3-2-1_109080_2024-03-05_final
2024-03-06 10:18:47	ga_ls8c_ard_3-2-1_100076_2024-03-06_final
2024-03-07 09:26:44	ga_ls8c_ard_3-2-1_091085_2024-03-06_final
2024-03-09 09:12:22	ga_ls8c_ard_3-2-1_089080_2024-03-08_final
2024-03-09 09:14:22	ga_ls8c_ard_3-2-1_089085_2024-03-08_final
2024-03-10 11:35:43	ga_ls8c_ard_3-2-1_112083_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years